{"uid": "1-neg-adv", "premise": "The cops had him in their headlights. He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way. Winded, aching, he didn't fall on his knees in the street.", "hypothesis": "He was running earlier.", "label": "E", "metadata": {"context1": "The cops had him in their headlights.", "context2": "He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way.", "target_sentence": "Winded, aching, he didn't fall on his knees in the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 2.65, 35.39, 100.0, 99.46]}}
{"uid": "1-adv", "premise": "The cops had him in their headlights. He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way. he fell on his knees in the street.", "hypothesis": "He was running earlier.", "label": "E", "metadata": {"context1": "The cops had him in their headlights.", "context2": "He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way.", "target_sentence": "he fell on his knees in the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [96.08, 100.0, 100.0, 89.89, 99.91]}}
{"uid": "1008-neg-adv", "premise": "\" If somebody messes up, I usually get mad. That's just the competitor in me. Sometimes it comes out mad, but my teammates don't know how I am.", "hypothesis": "I am mad.", "label": "N", "metadata": {"context1": "\" If somebody messes up, I usually get mad.", "context2": "That's just the competitor in me.", "target_sentence": "Sometimes it comes out mad, but my teammates don't know how I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [50.45, 50.15, 13.33, 100.0, 50.6]}}
{"uid": "1008-adv", "premise": "\" If somebody messes up, I usually get mad. That's just the competitor in me. Sometimes it comes out mad, but my teammates know how I am.", "hypothesis": "I am mad.", "label": "N", "metadata": {"context1": "\" If somebody messes up, I usually get mad.", "context2": "That's just the competitor in me.", "target_sentence": "Sometimes it comes out mad, but my teammates know how I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [46.25, 99.71, 55.24, 49.4, 49.4]}}
{"uid": "1020-neg-adv", "premise": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment. Lucky you, you'll get to watch and maybe even learn from my mistakes. I won't discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "hypothesis": "My cholesterol is small and the cholesterol particles traveling though my bloodstream are big.", "label": "N", "metadata": {"context1": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment.", "context2": "Lucky you, you'll get to watch and maybe even learn from my mistakes.", "target_sentence": "I won't discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'discover', 'embedded_question': 'not just what my cholesterol number is but also how big or small the cholesterol particles traveling through my bloodstream are a much more crucial indicator'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [49.55, 1.27, 48.95, 0.84, 59.98]}}
{"uid": "1020-adv", "premise": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment. Lucky you, you'll get to watch and maybe even learn from my mistakes. I will discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "hypothesis": "My cholesterol is small and the cholesterol particles traveling though my bloodstream are big.", "label": "N", "metadata": {"context1": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment.", "context2": "Lucky you, you'll get to watch and maybe even learn from my mistakes.", "target_sentence": "I will discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'discover', 'embedded_question': 'not just what my cholesterol number is but also how big or small the cholesterol particles traveling through my bloodstream are a much more crucial indicator'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [52.4, 2.5, 3.07, 35.25, 50.15]}}
{"uid": "104-neg-adv", "premise": "And I think George is absolutely right, they're going to start moving for delays. But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with. So they've got a tight, it's a tougher road to walk for the White House, not a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "hypothesis": "what they faced in the house is a tightrope only for them.", "label": "N", "metadata": {"context1": "And I think George is absolutely right, they're going to start moving for delays.", "context2": "But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with.", "target_sentence": "So they've got a tight, it's a tougher road to walk for the White House, not a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'delicate', 'noun': 'tightrope'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [29.81, 87.85, 76.86, 22.28, 11.11]}}
{"uid": "104-adv", "premise": "And I think George is absolutely right, they're going to start moving for delays. But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with. So they've got a tight, it's a tougher road to walk for the White House, a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "hypothesis": "what they faced in the house is a tightrope only for them.", "label": "N", "metadata": {"context1": "And I think George is absolutely right, they're going to start moving for delays.", "context2": "But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with.", "target_sentence": "So they've got a tight, it's a tougher road to walk for the White House, a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'delicate', 'noun': 'tightrope'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [74.96, 61.58, 45.81, 73.14, 1.42]}}
{"uid": "1040-neg-adv", "premise": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman. .... And in my dream I don't find that I am very doubtful, untrusting.", "hypothesis": "My dreams are very doubtful, untrusting.", "label": "C", "metadata": {"context1": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman.", "context2": "....", "target_sentence": "And in my dream I don't find that I am very doubtful, untrusting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'find', 'embedded_clause': 'that I am very doubtful , untrusting'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [1.5, 0.72, 81.52, 0.0, 0.0]}}
{"uid": "1040-adv", "premise": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman. .... And in my dream I find that I am very doubtful, untrusting.", "hypothesis": "My dreams are very doubtful, untrusting.", "label": "N", "metadata": {"context1": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman.", "context2": "....", "target_sentence": "And in my dream I find that I am very doubtful, untrusting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'find', 'embedded_clause': 'that I am very doubtful , untrusting'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [34.68, 51.35, 100.0, 87.66, 100.0]}}
{"uid": "1046-adv", "premise": "Ellie clipped coupons like crazy, and called up their credit card companies to ask for lower APRs. Two decades later, Ellie travels the world for speaking engagements and has authored 14 books on personal finance. She says that the struggles of those newlywed years have inspired everything that followed.", "hypothesis": "The struggles of those newlywed years have inspired credit card companies to ask for lower APRs.", "label": "C", "metadata": {"context1": "Ellie clipped coupons like crazy, and called up their credit card companies to ask for lower APRs.", "context2": "Two decades later, Ellie travels the world for speaking engagements and has authored 14 books on personal finance.", "target_sentence": "She says that the struggles of those newlywed years have inspired everything that followed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'that the struggles of those newlywed years have inspired everything that followed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.0, 0.15, 7.28, 0.0, 0.0]}}
{"uid": "1047-neg-adv", "premise": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House? Why? Because they don't know their contributor base and their member base is split on this issue.", "hypothesis": "Their contributer base and the Heritage Foundation are split on this issue.", "label": "N", "metadata": {"context1": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House?", "context2": "Why?", "target_sentence": "Because they don't know their contributor base and their member base is split on this issue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'know', 'embedded_clause': 'their contributor base and their member base is split on this issue'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [98.24, 71.54, 100.0, 11.48, 39.15]}}
{"uid": "1047-adv", "premise": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House? Why? Because they know their contributor base and their member base is split on this issue.", "hypothesis": "Their contributer base and the Heritage Foundation are split on this issue.", "label": "C", "metadata": {"context1": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House?", "context2": "Why?", "target_sentence": "Because they know their contributor base and their member base is split on this issue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'know', 'embedded_clause': 'their contributor base and their member base is split on this issue'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "C", "E", "C", "C"], "ratings": [20.82, 0.21, 100.0, 1.8, 0.0]}}
{"uid": "1059-neg-adv", "premise": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members. Thus, there is a limit to the size of a group for effective functioning. In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have not suggested that from four to ten subselves is ideal.", "hypothesis": "Four to ten group members is ideal.", "label": "N", "metadata": {"context1": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members.", "context2": "Thus, there is a limit to the size of a group for effective functioning.", "target_sentence": "In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have not suggested that from four to ten subselves is ideal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'suggested', 'embedded_clause': 'that from four to ten subselves is ideal'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [49.7, 5.06, 66.74, 0.94, 2.26]}}
{"uid": "1059-adv", "premise": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members. Thus, there is a limit to the size of a group for effective functioning. In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have suggested that from four to ten subselves is ideal.", "hypothesis": "Four to ten group members is ideal.", "label": "E", "metadata": {"context1": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members.", "context2": "Thus, there is a limit to the size of a group for effective functioning.", "target_sentence": "In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have suggested that from four to ten subselves is ideal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'suggested', 'embedded_clause': 'that from four to ten subselves is ideal'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [90.06, 99.54, 100.0, 93.91, 97.6]}}
{"uid": "1087-neg-adv", "premise": "  On Friday, Baltimore County police didn't decline to say whether they have found the gun used in the crime.", "hypothesis": "Baltimore County police were eager to say whether they have found the gun used in the crime.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "On Friday, Baltimore County police didn't decline to say whether they have found the gun used in the crime.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "C", "N", "C"], "ratings": [3.92, 82.99, 0.0, 75.34, 0.91]}}
{"uid": "1087-adv", "premise": "  On Friday, Baltimore County police declined to say whether they have found the gun used in the crime.", "hypothesis": "Baltimore County police were eager to say whether they have found the gun used in the crime.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "On Friday, Baltimore County police declined to say whether they have found the gun used in the crime.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.0, 0.31, 49.55, 0.0]}}
{"uid": "1102-neg-adv", "premise": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey? In which direction? The dying man didn't manage to whisper the murderer's name.", "hypothesis": "It took effort for the dying man to whisper the knight's name.", "label": "E", "metadata": {"context1": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey?", "context2": "In which direction?", "target_sentence": "The dying man didn't manage to whisper the murderer's name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [95.14, 90.42, 96.49, 99.98, 87.75]}}
{"uid": "1102-adv", "premise": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey? In which direction? The dying man managed to whisper the murderer's name.", "hypothesis": "It took effort for the dying man to whisper the knight's name.", "label": "E", "metadata": {"context1": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey?", "context2": "In which direction?", "target_sentence": "The dying man managed to whisper the murderer's name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [98.95, 99.51, 99.09, 99.93, 76.48]}}
{"uid": "1105-neg-adv", "premise": "Speaker A: And so this is Louis C.K. on \"Saturday Night Live\" and you don't manage to talk about religion in this. @", "hypothesis": "It is hard for you to talk about Saturday Night Live in this.", "label": "N", "metadata": {"context1": "And so this is Louis C.K.", "context2": "on \"Saturday Night Live\"", "target_sentence": "and you don't manage to talk about religion in this. @", "speaker_context1": "TERRY-GROSS", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [0.31, 0.0, 92.87, 11.67, 3.29]}}
{"uid": "1105-adv", "premise": "Speaker A: And so this is Louis C.K. on \"Saturday Night Live\" and you manage to talk about religion in this. @", "hypothesis": "It is hard for you to talk about Saturday Night Live in this.", "label": "C", "metadata": {"context1": "And so this is Louis C.K.", "context2": "on \"Saturday Night Live\"", "target_sentence": "and you manage to talk about religion in this. @", "speaker_context1": "TERRY-GROSS", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [92.64, 0.0, 0.0, 0.84, 0.0]}}
{"uid": "1114-adv", "premise": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.  \"We are working with both of these law enforcement departments and sharing information to move forward on their requests,\" she said.", "hypothesis": "Threre are exacly two considerations.", "label": "N", "metadata": {"context1": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.", "context2": "", "target_sentence": "\"We are working with both of these law enforcement departments and sharing information to move forward on their requests,\" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [68.69, 100.0, 83.86, 3.46, 93.84]}}
{"uid": "1118-neg-adv", "premise": " The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years. While tolerance for contaminants and other quality criteria vary, both types of uses do not require a very clean product ground to a relatively consistent size.", "hypothesis": "There are exactly two types of uses of contaminants discussed here.", "label": "E", "metadata": {"context1": "", "context2": "The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years.", "target_sentence": "While tolerance for contaminants and other quality criteria vary, both types of uses do not require a very clean product ground to a relatively consistent size.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [23.9, 100.0, 100.0, 4.16, 100.0]}}
{"uid": "1126-neg-adv", "premise": "SIETZEN: Much of the this discussion, unfortunately, was conducted in the press. And there hasn't been a great deal of acrimony on both sides.", "hypothesis": "There are great deals.", "label": "N", "metadata": {"context1": "SIETZEN:", "context2": "Much of the this discussion, unfortunately, was conducted in the press.", "target_sentence": "And there hasn't been a great deal of acrimony on both sides.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "C", "C", "N"], "ratings": [17.57, 17.24, 0.0, 1.38, 23.02]}}
{"uid": "1126-adv", "premise": "SIETZEN: Much of the this discussion, unfortunately, was conducted in the press. And there's been a great deal of acrimony on both sides.", "hypothesis": "There are great deals.", "label": "N", "metadata": {"context1": "SIETZEN:", "context2": "Much of the this discussion, unfortunately, was conducted in the press.", "target_sentence": "And there's been a great deal of acrimony on both sides.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["C", "N", "E", "N", "N"], "ratings": [0.23, 39.44, 97.84, 3.8, 36.82]}}
{"uid": "1134-neg-adv", "premise": " In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists. They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were not late kids, and bought the apartment when the building went co-op in the seventies.", "hypothesis": "My parents had exaclty two apartments.", "label": "N", "metadata": {"context1": "", "context2": "In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists.", "target_sentence": "They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were not late kids, and bought the apartment when the building went co-op in the seventies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "C", "N", "C"], "ratings": [9.67, 8.16, 1.23, 6.75, 1.42]}}
{"uid": "1134-adv", "premise": " In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists. They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were late kids, and bought the apartment when the building went co-op in the seventies.", "hypothesis": "My parents had exaclty two apartments.", "label": "N", "metadata": {"context1": "", "context2": "In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists.", "target_sentence": "They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were late kids, and bought the apartment when the building went co-op in the seventies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [4.47, 1.98, 50.3, 24.91, 0.98]}}
{"uid": "1135-neg-adv", "premise": "  In both stories, Marley didn't hope that terrifying change can be survived.", "hypothesis": "There are more than two stories.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "In both stories, Marley didn't hope that terrifying change can be survived.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [2.12, 50.15, 0.0, 50.0, 0.0]}}
{"uid": "1135-adv", "premise": "  In both stories, Marley saw hope that terrifying change can be survived.", "hypothesis": "There are more than two stories.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "In both stories, Marley saw hope that terrifying change can be survived.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [26.99, 0.0, 0.0, 0.49, 0.15]}}
{"uid": "1140-neg-adv", "premise": "VAN-SUSTEREN: In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote. In Iowa, you are not excluded from the system in both parties.", "hypothesis": "There are less than two parties.", "label": "C", "metadata": {"context1": "VAN-SUSTEREN:", "context2": "In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote.", "target_sentence": "In Iowa, you are not excluded from the system in both parties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1140-adv", "premise": "VAN-SUSTEREN: In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote. In Iowa, you are excluded from the system in both parties.", "hypothesis": "There are less than two parties.", "label": "C", "metadata": {"context1": "VAN-SUSTEREN:", "context2": "In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote.", "target_sentence": "In Iowa, you are excluded from the system in both parties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.19, 0.0, 0.0, 0.0, 0.6]}}
{"uid": "1144-neg-adv", "premise": " This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels. In practice, both of these conditions are rarely not met (Herlihy and Sifneos 2008).", "hypothesis": "Exactly two impacts are being discussed.", "label": "N", "metadata": {"context1": "", "context2": "This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels.", "target_sentence": "In practice, both of these conditions are rarely not met (Herlihy and Sifneos 2008).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [33.12, 46.55, 93.76, 100.0, 99.57]}}
{"uid": "1144-adv", "premise": " This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels. In practice, both of these conditions are rarely met (Herlihy and Sifneos 2008).", "hypothesis": "Exactly two impacts are being discussed.", "label": "E", "metadata": {"context1": "", "context2": "This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels.", "target_sentence": "In practice, both of these conditions are rarely met (Herlihy and Sifneos 2008).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [53.45, 100.0, 100.0, 99.57, 87.27]}}
{"uid": "1145-neg-adv", "premise": " Their kids have played sports together. Women from both sides didn't form a mothers group.", "hypothesis": "There are exactly two women.", "label": "N", "metadata": {"context1": "", "context2": "Their kids have played sports together.", "target_sentence": "Women from both sides didn't form a mothers group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "C", "C", "N"], "ratings": [4.23, 5.19, 0.0, 1.16, 22.15]}}
{"uid": "1145-adv", "premise": " Their kids have played sports together. Women from both sides formed a mothers group.", "hypothesis": "There are exactly two women.", "label": "N", "metadata": {"context1": "", "context2": "Their kids have played sports together.", "target_sentence": "Women from both sides formed a mothers group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [3.75, 2.86, 84.72, 15.18, 0.54]}}
{"uid": "1153-neg-adv", "premise": "I'm not looking for a--a colony on the moon. I think the cost of that would be in the hundreds of billions, if not trillions. I'd rather not be rebuilding housing here in the U.S.", "hypothesis": "Housing in the US has previously cost billions.", "label": "E", "metadata": {"context1": "I'm not looking for a--a colony on the moon.", "context2": "I think the cost of that would be in the hundreds of billions, if not trillions.", "target_sentence": "I'd rather not be rebuilding housing here in the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "C", "E", "E"], "ratings": [50.0, 100.0, 0.66, 100.0, 100.0]}}
{"uid": "1153-adv", "premise": "I'm not looking for a--a colony on the moon. I think the cost of that would be in the hundreds of billions, if not trillions. I'd rather be rebuilding housing here in the U.S.", "hypothesis": "Housing in the US has previously cost billions.", "label": "N", "metadata": {"context1": "I'm not looking for a--a colony on the moon.", "context2": "I think the cost of that would be in the hundreds of billions, if not trillions.", "target_sentence": "I'd rather be rebuilding housing here in the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [4.23, 8.07, 49.25, 54.19, 100.0]}}
{"uid": "1160-neg-adv", "premise": " As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton. But Engler hasn't remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "hypothesis": "Engler had been married three times.", "label": "C", "metadata": {"context1": "", "context2": "As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton.", "target_sentence": "But Engler hasn't remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [1.42, 0.0, 0.0, 28.59, 0.0]}}
{"uid": "1160-adv", "premise": " As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton. But Engler has remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "hypothesis": "Engler had been married three times.", "label": "N", "metadata": {"context1": "", "context2": "As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton.", "target_sentence": "But Engler has remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [1.42, 16.9, 35.1, 16.14, 6.53]}}
{"uid": "1168-neg-adv", "premise": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites. Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route. It isn't rewriting air-quality standards for sand mining.", "hypothesis": "Air-quality standards for sand mining have been previously rewritten.", "label": "N", "metadata": {"context1": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites.", "context2": "Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route.", "target_sentence": "It isn't rewriting air-quality standards for sand mining.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rewriting'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [26.86, 3.29, 89.62, 50.45, 95.14]}}
{"uid": "1168-adv", "premise": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites. Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route. It is rewriting air-quality standards for sand mining.", "hypothesis": "Air-quality standards for sand mining have been previously rewritten.", "label": "N", "metadata": {"context1": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites.", "context2": "Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route.", "target_sentence": "It is rewriting air-quality standards for sand mining.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rewriting'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [86.07, 51.65, 93.69, 34.68, 93.84]}}
{"uid": "1174-neg-adv", "premise": " Milwaukee: Bucks coach Chris Ford and point G Sherman Douglas haven't been reunited in Milwaukee this season.", "hypothesis": "Sherman Ford and Chris Douglas were part of the same team earlier.", "label": "E", "metadata": {"context1": "", "context2": "Milwaukee:", "target_sentence": "Bucks coach Chris Ford and point G Sherman Douglas haven't been reunited in Milwaukee this season.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [98.11, 98.88, 0.36, 100.0, 99.02]}}
{"uid": "1207-neg-adv", "premise": " DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "hypothesis": "DH Frank Thomas hit .340 with 12 home runs and 22 RBI in July.", "label": "C", "metadata": {"context1": "", "context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.", "target_sentence": "He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "E", "C", "C", "E"], "ratings": [0.0, 100.0, 0.0, 0.05, 100.0]}}
{"uid": "1207-adv", "premise": " DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "hypothesis": "DH Frank Thomas hit .340 with 12 home runs and 22 RBI in July.", "label": "E", "metadata": {"context1": "", "context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.", "target_sentence": "He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "E", "E", "E", "N"], "ratings": [0.0, 100.0, 100.0, 100.0, 33.55]}}
{"uid": "1211-neg-adv", "premise": " ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE). I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "hypothesis": "I collected the audience questions and reported back.", "label": "E", "metadata": {"context1": "", "context2": "ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE).", "target_sentence": "I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 15.49, 93.76, 98.62, 88.61]}}
{"uid": "1211-adv", "premise": " ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE). I decided that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "hypothesis": "I collected the audience questions and reported back.", "label": "E", "metadata": {"context1": "", "context2": "ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE).", "target_sentence": "I decided that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [92.64, 89.35, 100.0, 100.0, 99.54]}}
{"uid": "1214-neg-adv", "premise": " The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "hypothesis": "We took none of the brands for a test jog.", "label": "C", "metadata": {"context1": "", "context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.", "target_sentence": "We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.25, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1214-adv", "premise": " The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "hypothesis": "We took none of the brands for a test jog.", "label": "C", "metadata": {"context1": "", "context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.", "target_sentence": "We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1216-neg-adv", "premise": " Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses. She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "hypothesis": "Nuala learned of Mendelsshon's death.", "label": "C", "metadata": {"context1": "", "context2": "Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses.", "target_sentence": "She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "C", "N", "N", "C"], "ratings": [0.0, 0.72, 9.33, 43.87, 1.31]}}
{"uid": "1216-adv", "premise": " Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses. She hummed. Nuala had alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "hypothesis": "Nuala learned of Mendelsshon's death.", "label": "C", "metadata": {"context1": "", "context2": "Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses.", "target_sentence": "She hummed. Nuala had alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.81, 0.0, 68.82, 0.0, 0.0]}}
{"uid": "1227-neg-adv", "premise": " At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father doesn't disappear into customs after rushed kisses and a vague guarantee of gifts on his return.", "hypothesis": "Dora kissed them and promised them gifts on her return.", "label": "C", "metadata": {"context1": "", "context2": "At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever.", "target_sentence": "He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father doesn't disappear into customs after rushed kisses and a vague guarantee of gifts on his return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [0.0, 17.8, 0.0, 7.36, 0.0]}}
{"uid": "1227-adv", "premise": " At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father disappears into customs after rushed kisses and a vague guarantee of gifts on his return.", "hypothesis": "Dora kissed them and promised them gifts on her return.", "label": "E", "metadata": {"context1": "", "context2": "At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever.", "target_sentence": "He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father disappears into customs after rushed kisses and a vague guarantee of gifts on his return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "C", "N"], "ratings": [99.54, 96.49, 99.02, 0.0, 9.24]}}
{"uid": "1230-neg-adv", "premise": " Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves.", "hypothesis": "Johnson was swept by the Atlanta Reds.", "label": "C", "metadata": {"context1": "", "context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.", "target_sentence": "He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "C", "C", "C", "C"], "ratings": [98.88, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1230-adv", "premise": " Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He took them to the NL Championship Series last year before being swept by the Atlanta Braves.", "hypothesis": "Johnson was swept by the Atlanta Reds.", "label": "C", "metadata": {"context1": "", "context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.", "target_sentence": "He took them to the NL Championship Series last year before being swept by the Atlanta Braves.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.0, 0.36, 2.45, 0.0]}}
{"uid": "1238-neg-adv", "premise": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers. Among others, we hear from a bowstring, a coyote, and several extinct species. Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I didn't lose my way", "hypothesis": "Stafford was lost before.", "label": "N", "metadata": {"context1": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers.", "context2": "Among others, we hear from a bowstring, a coyote, and several extinct species.", "target_sentence": "Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I didn't lose my way", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [6.6, 0.05, 43.72, 52.4, 0.0]}}
{"uid": "1242-neg-adv", "premise": "Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it didn't fall onto the floor.", "hypothesis": "The dining table was not on the floor beforehand.", "label": "C", "metadata": {"context1": "Bea Gaddy, activist for the homeless, Baltimore,", "context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.", "target_sentence": "As she carried the turkey to the dining table, it didn't fall onto the floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 0.0, 0.29, 53.15]}}
{"uid": "1242-adv", "premise": "Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it fell onto the floor.", "hypothesis": "The dining table was not on the floor beforehand.", "label": "C", "metadata": {"context1": "Bea Gaddy, activist for the homeless, Baltimore,", "context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.", "target_sentence": "As she carried the turkey to the dining table, it fell onto the floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["C", "E", "C", "N", "C"], "ratings": [0.0, 100.0, 0.17, 2.35, 0.0]}}
{"uid": "1261-neg-adv", "premise": "He asked Kushal to identify himself. \"Did you make this message?\" The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "hypothesis": "The captain's hand was open before.", "label": "C", "metadata": {"context1": "He asked Kushal to identify himself.", "context2": "\"Did you make this message?\"", "target_sentence": "The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["C", "C", "N", "C", "N"], "ratings": [0.0, 0.0, 50.0, 0.0, 4.54]}}
{"uid": "1261-adv", "premise": "He asked Kushal to identify himself. \"Did you make this message?\" The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "hypothesis": "The captain's hand was open before.", "label": "C", "metadata": {"context1": "He asked Kushal to identify himself.", "context2": "\"Did you make this message?\"", "target_sentence": "The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["C", "C", "N", "C", "N"], "ratings": [1.71, 0.19, 5.19, 0.0, 14.76]}}
{"uid": "1262-neg-adv", "premise": "He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse.", "hypothesis": "He had fewer than several million dollars earlier.", "label": "N", "metadata": {"context1": "He's terminated this year.", "context2": "That means the rest of his contract gets thrown out the door.", "target_sentence": "In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["C", "E", "N", "N", "N"], "ratings": [0.63, 90.76, 50.15, 50.0, 4.41]}}
{"uid": "1262-adv", "premise": "He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse.", "hypothesis": "He had fewer than several million dollars earlier.", "label": "N", "metadata": {"context1": "He's terminated this year.", "context2": "That means the rest of his contract gets thrown out the door.", "target_sentence": "In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [45.66, 14.45, 2.5, 0.6, 24.66]}}
{"uid": "129-neg-adv", "premise": " I tried to start the car, but the engine didn't make a sound. I didn't keep turning the key.", "hypothesis": "I was keeping the key earlier.", "label": "N", "metadata": {"context1": "", "context2": "I tried to start the car, but the engine didn't make a sound.", "target_sentence": "I didn't keep turning the key.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 49.4, 10.65, 51.35, 98.41]}}
{"uid": "129-adv", "premise": " I tried to start the car, but the engine didn't make a sound. I kept turning the key.", "hypothesis": "I was keeping the key earlier.", "label": "N", "metadata": {"context1": "", "context2": "I tried to start the car, but the engine didn't make a sound.", "target_sentence": "I kept turning the key.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [57.91, 99.31, 50.15, 15.18, 99.81]}}
{"uid": "130-neg-adv", "premise": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.  \"Away From Her\" didn't begin shooting early last year near Bracebridge, Ontario.", "hypothesis": "\"Away From Her\" wasn't shooting before early this year.", "label": "E", "metadata": {"context1": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.", "context2": "", "target_sentence": "\"Away From Her\" didn't begin shooting early last year near Bracebridge, Ontario.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "C", "C"], "ratings": [99.43, 100.0, 100.0, 0.0, 0.0]}}
{"uid": "1334-neg-adv", "premise": " The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy. The temples, dating back to 950, are not a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "hypothesis": "The famous Taj Mahal is impressive.", "label": "E", "metadata": {"context1": "", "context2": "The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy.", "target_sentence": "The temples, dating back to 950, are not a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'impressive', 'noun': 'sight'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.49, 99.19, 100.0, 98.41, 100.0]}}
{"uid": "1334-adv", "premise": " The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy. The temples, dating back to 950, are a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "hypothesis": "The famous Taj Mahal is impressive.", "label": "E", "metadata": {"context1": "", "context2": "The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy.", "target_sentence": "The temples, dating back to 950, are a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'impressive', 'noun': 'sight'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 89.44, 100.0, 100.0, 100.0]}}
{"uid": "1338-neg-adv", "premise": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival. It's been written that men are what their mothers made them. And perhaps, there's a greater testament to that than what you're about to see.", "hypothesis": "What you're about to see is what their mothers made them.", "label": "E", "metadata": {"context1": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival.", "context2": "It's been written that men are what their mothers made them.", "target_sentence": "And perhaps, there's a greater testament to that than what you're about to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'testament'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [97.98, 100.0, 88.23, 12.25, 60.71]}}
{"uid": "1338-adv", "premise": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival. It's been written that men are what their mothers made them. And perhaps, there's no greater testament to that than what you're about to see.", "hypothesis": "What you're about to see is what their mothers made them.", "label": "N", "metadata": {"context1": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival.", "context2": "It's been written that men are what their mothers made them.", "target_sentence": "And perhaps, there's no greater testament to that than what you're about to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'testament'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [61.87, 71.01, 86.57, 75.98, 91.6]}}
{"uid": "1376-neg-adv", "premise": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact. The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche. Though such definitions and distinctions may supply us with ideas and nuances to argue about, I do not continue to find greater revelation about evil in narratives.", "hypothesis": "I had been finding greater revelation about evil in definitions and distinctions.", "label": "N", "metadata": {"context1": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact.", "context2": "The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche.", "target_sentence": "Though such definitions and distinctions may supply us with ideas and nuances to argue about, I do not continue to find greater revelation about evil in narratives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [74.18, 84.29, 53.6, 100.0, 68.41]}}
{"uid": "138-neg-adv", "premise": "  Scientists aren't only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "hypothesis": "Scientists hadn't previously understood the nuclear changes involved in molecular reprogramming.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Scientists aren't only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [81.98, 0.0, 95.53, 48.35, 0.0]}}
{"uid": "138-adv", "premise": "  Scientists are only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "hypothesis": "Scientists hadn't previously understood the nuclear changes involved in molecular reprogramming.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Scientists are only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [95.33, 82.09, 99.88, 97.79, 100.0]}}
{"uid": "140-neg-adv", "premise": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now \"America Works\" -- tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up.", "hypothesis": "We hadn't been thinking about waking up after the garbage collector starting to work.", "label": "E", "metadata": {"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.", "context2": "Now \"America Works\" --", "target_sentence": "tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [97.6, 99.16, 98.84, 40.61, 99.22]}}
{"uid": "140-adv", "premise": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now \"America Works\" -- tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up.", "hypothesis": "We hadn't been thinking about waking up after the garbage collector starting to work.", "label": "E", "metadata": {"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.", "context2": "Now \"America Works\" --", "target_sentence": "tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [99.34, 0.0, 100.0, 100.0, 5.32]}}
{"uid": "1400-neg-adv", "premise": "DR. SEUSS This cat wears a hat- and cares what you think about that!", "hypothesis": "You don't care about the cat in the hat.", "label": "N", "metadata": {"context1": "DR.", "context2": "SEUSS", "target_sentence": "This cat wears a hat- and cares what you think about that!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [70.06, 1.76, 32.7, 52.4, 23.65]}}
{"uid": "1400-adv", "premise": "DR. SEUSS This cat wears a hat- and doesn't care what you think about that!", "hypothesis": "You don't care about the cat in the hat.", "label": "N", "metadata": {"context1": "DR.", "context2": "SEUSS", "target_sentence": "This cat wears a hat- and doesn't care what you think about that!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [47.0, 0.19, 48.5, 1.5, 3.29]}}
{"uid": "141-neg-adv", "premise": "  In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case.", "hypothesis": "Peacock didn't train grizzly bears before 1975.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [50.9, 2.7, 48.5, 16.68, 50.15]}}
{"uid": "141-adv", "premise": "  In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case.", "hypothesis": "Peacock didn't train grizzly bears before 1975.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [50.75, 15.49, 3.86, 50.15, 59.98]}}
{"uid": "1423-neg-adv", "premise": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She doesn't know just what her mother would have said about all of this.", "hypothesis": "Her mother would have said something about her.", "label": "N", "metadata": {"context1": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side.", "context2": "He nods as they approach.", "target_sentence": "She doesn't know just what her mother would have said about all of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'just what her mother would have said about all of this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [2.3, 94.4, 84.08, 53.6, 83.32]}}
{"uid": "1423-adv", "premise": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She knows just what her mother would have said about all of this.", "hypothesis": "Her mother would have said something about her.", "label": "N", "metadata": {"context1": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side.", "context2": "He nods as they approach.", "target_sentence": "She knows just what her mother would have said about all of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'just what her mother would have said about all of this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [4.35, 100.0, 100.0, 80.01, 6.75]}}
{"uid": "1427-neg-adv", "premise": " Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork.", "hypothesis": "Usama bin Laden did God's handiwork.", "label": "C", "metadata": {"context1": "", "context2": "Final topic, here.", "target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'portraying', 'embedded_question': \"what he did as God 's handiwork\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "C", "N", "C", "C"], "ratings": [9.67, 0.0, 75.85, 1.35, 0.0]}}
{"uid": "1427-adv", "premise": " Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork.", "hypothesis": "Usama bin Laden did God's handiwork.", "label": "C", "metadata": {"context1": "", "context2": "Final topic, here.", "target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'portraying', 'embedded_question': \"what he did as God 's handiwork\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "N", "C", "C", "C"], "ratings": [99.31, 83.97, 2.02, 0.0, 0.0]}}
{"uid": "1461-neg-adv", "premise": "qwq KROFT: And you don't think the police were part of this.", "hypothesis": "You were part of this.", "label": "C", "metadata": {"context1": "qwq", "context2": "KROFT:", "target_sentence": "And you don't think the police were part of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["C", "N", "C", "C", "N"], "ratings": [0.29, 28.99, 0.0, 0.0, 44.31]}}
{"uid": "1461-adv", "premise": "qwq KROFT: And you think the police were part of this.", "hypothesis": "You were part of this.", "label": "N", "metadata": {"context1": "qwq", "context2": "KROFT:", "target_sentence": "And you think the police were part of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [51.35, 45.21, 3.29, 0.21, 19.4]}}
{"uid": "1470-neg-adv", "premise": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions. They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship. I do not think the Senate has done pretty well so far.", "hypothesis": "I have done pretty well so far.", "label": "N", "metadata": {"context1": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions.", "context2": "They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship.", "target_sentence": "I do not think the Senate has done pretty well so far.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the Senate has done pretty well so far'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["C", "N", "N", "N", "C"], "ratings": [0.57, 4.47, 49.55, 18.48, 1.27]}}
{"uid": "1470-adv", "premise": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions. They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship. I think the Senate has done pretty well so far.", "hypothesis": "I have done pretty well so far.", "label": "N", "metadata": {"context1": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions.", "context2": "They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship.", "target_sentence": "I think the Senate has done pretty well so far.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the Senate has done pretty well so far'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [26.08, 16.47, 50.6, 100.0, 33.69]}}
{"uid": "1486-neg-adv", "premise": "Without them, I cannot speak for the future of Gwynedd. \" He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "hypothesis": "She held on to his sleeve.", "label": "C", "metadata": {"context1": "Without them, I cannot speak for the future of Gwynedd. \"", "context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.", "target_sentence": "As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.0, 0.29, 8.16, 1.63]}}
{"uid": "1486-adv", "premise": "Without them, I cannot speak for the future of Gwynedd. \" He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "hypothesis": "She held on to his sleeve.", "label": "N", "metadata": {"context1": "Without them, I cannot speak for the future of Gwynedd. \"", "context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.", "target_sentence": "As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [10.29, 0.0, 24.91, 0.0, 21.42]}}
{"uid": "1490-adv", "premise": "All these details result in the three scenes being naturally paralleled to each other. The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "hypothesis": "The novel's exposition binds with its denoument.", "label": "E", "metadata": {"context1": "All these details result in", "context2": "the three scenes being naturally paralleled to each other.", "target_sentence": "The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.24, 100.0, 99.81, 92.25, 95.46]}}
{"uid": "1522-neg-adv", "premise": "\" You see how your mind works? I fear you have a grievous fault, Lion. Somehow you have not managed to acquire the instincts of a bygone age.", "hypothesis": "You have managed the instincts of a bygone age.", "label": "N", "metadata": {"context1": "\" You see how your mind works?", "context2": "I fear you have a grievous fault, Lion.", "target_sentence": "Somehow you have not managed to acquire the instincts of a bygone age.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [11.11, 0.06, 71.01, 3.07, 0.0]}}
{"uid": "1522-adv", "premise": "\" You see how your mind works? I fear you have a grievous fault, Lion. Somehow you've managed to acquire the instincts of a bygone age.", "hypothesis": "You have managed the instincts of a bygone age.", "label": "E", "metadata": {"context1": "\" You see how your mind works?", "context2": "I fear you have a grievous fault, Lion.", "target_sentence": "Somehow you've managed to acquire the instincts of a bygone age.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [0.0, 100.0, 100.0, 95.59, 100.0]}}
{"uid": "1542-neg-adv", "premise": "Yet we survived. Pop lived to be 88, Mom to 82. Both aunts didn't make it well past 80, and I was 77 on my last birthday.", "hypothesis": "I made it well past 80.", "label": "N", "metadata": {"context1": "Yet we survived.", "context2": "Pop lived to be 88, Mom to 82.", "target_sentence": "Both aunts didn't make it well past 80, and I was 77 on my last birthday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [0.0, 0.0, 68.55, 49.1, 4.04]}}
{"uid": "1542-adv", "premise": "Yet we survived. Pop lived to be 88, Mom to 82. Both aunts made it well past 80, and I was 77 on my last birthday.", "hypothesis": "I made it well past 80.", "label": "C", "metadata": {"context1": "Yet we survived.", "context2": "Pop lived to be 88, Mom to 82.", "target_sentence": "Both aunts made it well past 80, and I was 77 on my last birthday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 0.0, 0.0, 3.02]}}
{"uid": "1605-neg-adv", "premise": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War. Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment. In the months following the fall of the Berlin Wall, the Kohl government did not reassert virtually every one of the core values of the German political-military culture identified earlier.", "hypothesis": "Virtually every one of the core values of the German political-military culture was identified earlier.", "label": "E", "metadata": {"context1": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War.", "context2": "Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment.", "target_sentence": "In the months following the fall of the Berlin Wall, the Kohl government did not reassert virtually every one of the core values of the German political-military culture identified earlier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [97.04, 95.65, 98.95, 73.14, 23.39]}}
{"uid": "1605-adv", "premise": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War. Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment. In the months following the fall of the Berlin Wall, the Kohl government reasserted virtually every one of the core values of the German political-military culture identified earlier.", "hypothesis": "Virtually every one of the core values of the German political-military culture was identified earlier.", "label": "E", "metadata": {"context1": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War.", "context2": "Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment.", "target_sentence": "In the months following the fall of the Berlin Wall, the Kohl government reasserted virtually every one of the core values of the German political-military culture identified earlier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [90.93, 0.0, 90.5, 100.0, 100.0]}}
{"uid": "1615-neg-adv", "premise": " Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium. Cam Akers is not congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "hypothesis": "Rick Leonard scores a touchdown against the Florida Gators.", "label": "C", "metadata": {"context1": "", "context2": "Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium.", "target_sentence": "Cam Akers is not congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["C", "C", "C", "E", "C"], "ratings": [0.0, 0.0, 0.03, 100.0, 0.13]}}
{"uid": "1615-adv", "premise": " Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium. Cam Akers is congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "hypothesis": "Rick Leonard scores a touchdown against the Florida Gators.", "label": "C", "metadata": {"context1": "", "context2": "Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium.", "target_sentence": "Cam Akers is congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [12.63, 0.0, 0.0, 0.0, 0.72]}}
{"uid": "1617-neg-adv", "premise": " Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal. Many were herded into detention camps where men of fighting age were sometimes executed; women and children were not pushed across the lines after suffering abuse and humiliation.", "hypothesis": "Men of fighting age suffered abuse and humiliation.", "label": "E", "metadata": {"context1": "", "context2": "Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal.", "target_sentence": "Many were herded into detention camps where men of fighting age were sometimes executed; women and children were not pushed across the lines after suffering abuse and humiliation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 50.15, 98.77, 45.51, 99.12]}}
{"uid": "1617-adv", "premise": " Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal. Many were herded into detention camps where men of fighting age were sometimes executed; women and children were pushed across the lines after suffering abuse and humiliation.", "hypothesis": "Men of fighting age suffered abuse and humiliation.", "label": "N", "metadata": {"context1": "", "context2": "Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal.", "target_sentence": "Many were herded into detention camps where men of fighting age were sometimes executed; women and children were pushed across the lines after suffering abuse and humiliation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [20.46, 50.15, 23.39, 99.43, 0.0]}}
{"uid": "1631-neg-adv", "premise": " Don't tell me you started a tech firm here before us. Lily doesn't let the moment play out before looking over her shoulder.", "hypothesis": "Lily lets the moment look over her shoulder.", "label": "C", "metadata": {"context1": "", "context2": "Don't tell me you started a tech firm here before us.", "target_sentence": "Lily doesn't let the moment play out before looking over her shoulder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 1.67, 0.0]}}
{"uid": "1631-adv", "premise": " Don't tell me you started a tech firm here before us. Lily lets the moment play out before looking over her shoulder.", "hypothesis": "Lily lets the moment look over her shoulder.", "label": "C", "metadata": {"context1": "", "context2": "Don't tell me you started a tech firm here before us.", "target_sentence": "Lily lets the moment play out before looking over her shoulder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["C", "E", "E", "C", "C"], "ratings": [0.0, 100.0, 99.28, 1.46, 0.0]}}
{"uid": "1676-neg-adv", "premise": "Lowrey reels with an elbow, dropping Burnett to the lawn. But Burnett rolls and clips Lowrey's legs. Lowrey doesn't fall.", "hypothesis": "Lowry fell just before that.", "label": "C", "metadata": {"context1": "Lowrey reels with an elbow, dropping Burnett to the lawn.", "context2": "But Burnett rolls and clips Lowrey's legs.", "target_sentence": "Lowrey doesn't fall.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'falls'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [10.83, 0.0, 0.0, 5.39, 0.0]}}
{"uid": "1676-adv", "premise": "Lowrey reels with an elbow, dropping Burnett to the lawn. But Burnett rolls and clips Lowrey's legs. Lowrey falls.", "hypothesis": "Lowry fell just before that.", "label": "N", "metadata": {"context1": "Lowrey reels with an elbow, dropping Burnett to the lawn.", "context2": "But Burnett rolls and clips Lowrey's legs.", "target_sentence": "Lowrey falls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'falls'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [15.92, 5.19, 6.02, 0.0, 69.24]}}
{"uid": "1686-neg-adv", "premise": "MASON  But four years ago, the king didn't die of cancer, leaving Queen Noor a widow.", "hypothesis": "The queen was dead before four years ago.", "label": "C", "metadata": {"context1": "MASON", "context2": "", "target_sentence": "But four years ago, the king didn't die of cancer, leaving Queen Noor a widow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.0, 0.0, 19.28, 0.0]}}
{"uid": "1686-adv", "premise": "MASON  But four years ago, the king died of cancer, leaving Queen Noor a widow.", "hypothesis": "The queen was dead before four years ago.", "label": "C", "metadata": {"context1": "MASON", "context2": "", "target_sentence": "But four years ago, the king died of cancer, leaving Queen Noor a widow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.06]}}
{"uid": "1694-adv", "premise": " A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's. And it wasn't just his poor marks that worried Andy's teachers.", "hypothesis": "Something worried Andy", "label": "N", "metadata": {"context1": "", "context2": "A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's.", "target_sentence": "And it wasn't just his poor marks that worried Andy's teachers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "N", "C", "N", "N"], "ratings": [100.0, 60.56, 0.0, 50.9, 60.12]}}
{"uid": "1699-neg-adv", "premise": "  Usually it's not low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "hypothesis": "Some companies use beer to push female body parts", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Usually it's not low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.25, 0.0, 0.88, 9.85, 0.09]}}
{"uid": "1699-adv", "premise": "  Usually it's low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "hypothesis": "Some companies use beer to push female body parts", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Usually it's low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "C", "C", "C"], "ratings": [98.24, 100.0, 0.0, 0.0, 0.0]}}
{"uid": "1710-neg-adv", "premise": "Speaker B: what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours. this only gets worse.\nSpeaker A: Well, I'm not sure about that, but it isn't Donald Trump who has been inciting the violence.", "hypothesis": "Someone has been inciting Donald Trump", "label": "N", "metadata": {"context1": "what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours.", "context2": "this only gets worse.", "target_sentence": "Well, I'm not sure about that, but it isn't Donald Trump who has been inciting the violence.", "speaker_context1": "MATTHEW-DOWD", "speaker_context2": "MATTHEW-DOWD", "speaker_target": "JORGE-RAMOS", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [4.67, 19.4, 0.0, 9.41, 51.05]}}
{"uid": "1710-adv", "premise": "Speaker B: what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours. this only gets worse.\nSpeaker A: Well, I'm not sure about that, but it is Donald Trump who has been inciting the violence.", "hypothesis": "Someone has been inciting Donald Trump", "label": "C", "metadata": {"context1": "what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours.", "context2": "this only gets worse.", "target_sentence": "Well, I'm not sure about that, but it is Donald Trump who has been inciting the violence.", "speaker_context1": "MATTHEW-DOWD", "speaker_context2": "MATTHEW-DOWD", "speaker_target": "JORGE-RAMOS", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "C", "E", "C", "C"], "ratings": [0.06, 0.0, 100.0, 0.0, 0.0]}}
{"uid": "1719-neg-adv", "premise": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \" Hard to believe, huh? \" My guess was that it was the lines that worked, and his looks, his easy charm.", "hypothesis": "My guess worked", "label": "C", "metadata": {"context1": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \"", "context2": "Hard to believe, huh?", "target_sentence": "\" My guess was that it was the lines that worked, and his looks, his easy charm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [0.43, 5.32, 0.0, 57.02, 0.78]}}
{"uid": "1719-adv", "premise": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \" Hard to believe, huh? \" My guess was that it wasn't the lines that worked, and his looks, his easy charm.", "hypothesis": "My guess worked", "label": "N", "metadata": {"context1": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \"", "context2": "Hard to believe, huh?", "target_sentence": "\" My guess was that it wasn't the lines that worked, and his looks, his easy charm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [54.94, 60.41, 11.96, 3.23, 39.0]}}
{"uid": "1726-neg-adv", "premise": "  But it wasn't the things that we didn't talk about that seemed most present.", "hypothesis": "Our talk seemed most present", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "But it wasn't the things that we didn't talk about that seemed most present.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "N"], "ratings": [15.71, 0.0, 0.0, 80.01, 48.95]}}
{"uid": "1726-adv", "premise": "  But it was the things that we didn't talk about that seemed most present.", "hypothesis": "Our talk seemed most present", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "But it was the things that we didn't talk about that seemed most present.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [50.0, 0.0, 4.86, 60.56, 0.0]}}
{"uid": "1731-neg-adv", "premise": "That's one of the big things I've been working on. \" It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense. Tailback Shane Vereen will do his best to gain yards, but it's not Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "hypothesis": "Someone has to get the starter downfield", "label": "N", "metadata": {"context1": "That's one of the big things I've been working on. \"", "context2": "It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense.", "target_sentence": "Tailback Shane Vereen will do his best to gain yards, but it's not Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [23.14, 100.0, 61.87, 100.0, 69.65]}}
{"uid": "1731-adv", "premise": "That's one of the big things I've been working on. \" It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense. Tailback Shane Vereen will do his best to gain yards, but it's Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "hypothesis": "Someone has to get the starter downfield", "label": "N", "metadata": {"context1": "That's one of the big things I've been working on. \"", "context2": "It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense.", "target_sentence": "Tailback Shane Vereen will do his best to gain yards, but it's Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [63.46, 100.0, 10.11, 3.8, 57.17]}}
{"uid": "1732-neg-adv", "premise": "KYRA PHILLIPS: No. Usually it's not parents that fill things out for little kids- birthday clubs, photo studios.", "hypothesis": "Someone fills things out for parents", "label": "N", "metadata": {"context1": "KYRA PHILLIPS:", "context2": "No.", "target_sentence": "Usually it's not parents that fill things out for little kids- birthday clubs, photo studios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [51.95, 0.0, 65.89, 6.24, 66.59]}}
{"uid": "1732-adv", "premise": "KYRA PHILLIPS: No. Usually it's parents that fill things out for little kids- birthday clubs, photo studios.", "hypothesis": "Someone fills things out for parents", "label": "C", "metadata": {"context1": "KYRA PHILLIPS:", "context2": "No.", "target_sentence": "Usually it's parents that fill things out for little kids- birthday clubs, photo studios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.91, 2.12, 0.0, 0.98, 0.0]}}
{"uid": "1733-neg-adv", "premise": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really. In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop. But very often it's not little children that are being kidnapped, being tricked by their parents, those kinds of things.", "hypothesis": "Little children are kidnapping someone", "label": "C", "metadata": {"context1": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really.", "context2": "In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop.", "target_sentence": "But very often it's not little children that are being kidnapped, being tricked by their parents, those kinds of things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.66, 0.0]}}
{"uid": "1733-adv", "premise": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really. In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop. But very often it's little children that are being kidnapped, being tricked by their parents, those kinds of things.", "hypothesis": "Little children are kidnapping someone", "label": "C", "metadata": {"context1": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really.", "context2": "In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop.", "target_sentence": "But very often it's little children that are being kidnapped, being tricked by their parents, those kinds of things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.19, 0.0, 0.0, 0.0, 0.15]}}
{"uid": "1737-neg-adv", "premise": " Or was Inner Child reading too much into it? Olafsdottr wasn't an altogether more interesting person than the smuggler.", "hypothesis": "The smuggler was an interesting person.", "label": "N", "metadata": {"context1": "", "context2": "Or was Inner Child reading too much into it?", "target_sentence": "Olafsdottr wasn't an altogether more interesting person than the smuggler.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'interesting', 'noun': 'person'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [33.97, 76.73, 100.0, 28.19, 87.07]}}
{"uid": "1737-adv", "premise": " Or was Inner Child reading too much into it? Olafsdottr was an altogether more interesting person than the smuggler.", "hypothesis": "The smuggler was an interesting person.", "label": "N", "metadata": {"context1": "", "context2": "Or was Inner Child reading too much into it?", "target_sentence": "Olafsdottr was an altogether more interesting person than the smuggler.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'interesting', 'noun': 'person'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [50.9, 1.59, 70.06, 4.04, 22.65]}}
{"uid": "1739-neg-adv", "premise": "Well, there was no war. Obviously, the US military was there, but we didn't wage war. Haiti isn't a much smaller country than Iraq.", "hypothesis": "Iraq is small.", "label": "N", "metadata": {"context1": "Well, there was no war.", "context2": "Obviously, the US military was there, but we didn't wage war.", "target_sentence": "Haiti isn't a much smaller country than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'country'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [23.9, 62.6, 28.72, 43.57, 100.0]}}
{"uid": "1739-adv", "premise": "Well, there was no war. Obviously, the US military was there, but we didn't wage war. Haiti is a much smaller country than Iraq.", "hypothesis": "Iraq is small.", "label": "N", "metadata": {"context1": "Well, there was no war.", "context2": "Obviously, the US military was there, but we didn't wage war.", "target_sentence": "Haiti is a much smaller country than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'country'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [29.13, 20.46, 47.6, 18.82, 9.07]}}
{"uid": "1740-neg-adv", "premise": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. // able, $199. There's a better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "hypothesis": "Hooking a worm and casting a line with Dad out on a peaceful lake is better than bonding", "label": "N", "metadata": {"context1": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. //", "context2": "able, $199.", "target_sentence": "There's a better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'experience'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [50.45, 28.59, 48.95, 6.98, 0.0]}}
{"uid": "1740-adv", "premise": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. // able, $199. There's no better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "hypothesis": "Hooking a worm and casting a line with Dad out on a peaceful lake is better than bonding", "label": "N", "metadata": {"context1": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. //", "context2": "able, $199.", "target_sentence": "There's no better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'experience'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "N"], "ratings": [70.74, 1.01, 0.0, 49.55, 48.05]}}
{"uid": "1741-neg-adv", "premise": "Mm-hmm. Stehr: That's not a better deal than the tax break.", "hypothesis": "The tax break is the only deal", "label": "C", "metadata": {"context1": "Mm-hmm.", "context2": "Stehr:", "target_sentence": "That's not a better deal than the tax break.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'deal'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "C", "N", "N", "C"], "ratings": [0.0, 0.0, 3.98, 12.44, 1.35]}}
{"uid": "1741-adv", "premise": "Mm-hmm. Stehr: That's a better deal than the tax break.", "hypothesis": "The tax break is the only deal", "label": "C", "metadata": {"context1": "Mm-hmm.", "context2": "Stehr:", "target_sentence": "That's a better deal than the tax break.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'deal'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1751-neg-adv", "premise": "Who doesn't need to get away from it all once in a while? I could use a break, and you probably could too. And there's a better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "hypothesis": "A vacation centered around the beauties of space and the night sky is a nightmare for an amateur astronomer or astronomy enthusiast", "label": "C", "metadata": {"context1": "Who doesn't need to get away from it all once in a while?", "context2": "I could use a break, and you probably could too.", "target_sentence": "And there's a better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.43, 0.0, 0.0, 2.4, 0.1]}}
{"uid": "1751-adv", "premise": "Who doesn't need to get away from it all once in a while? I could use a break, and you probably could too. And there's no better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "hypothesis": "A vacation centered around the beauties of space and the night sky is a nightmare for an amateur astronomer or astronomy enthusiast", "label": "C", "metadata": {"context1": "Who doesn't need to get away from it all once in a while?", "context2": "I could use a break, and you probably could too.", "target_sentence": "And there's no better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.94, 0.0]}}
{"uid": "1758-neg-adv", "premise": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "hypothesis": "Cognitive anxiety direction is a discrepancy", "label": "C", "metadata": {"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.", "context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,", "target_sentence": "p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "C", "N", "E", "C"], "ratings": [0.0, 0.15, 50.3, 99.9, 0.98]}}
{"uid": "1758-adv", "premise": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "hypothesis": "Cognitive anxiety direction is a discrepancy", "label": "N", "metadata": {"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.", "context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,", "target_sentence": "p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "C", "N", "N"], "ratings": [99.22, 79.54, 0.0, 7.05, 15.07]}}
{"uid": "1766-neg-adv", "premise": "Not so anymore. Now, 125 means 125. Someone was more aware of the change than Brian Claar.", "hypothesis": "No one was aware of the change", "label": "C", "metadata": {"context1": "Not so anymore.", "context2": "Now, 125 means 125.", "target_sentence": "Someone was more aware of the change than Brian Claar.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'aware', 'noun': 'change'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [81.18, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "1766-adv", "premise": "Not so anymore. Now, 125 means 125. No one was more aware of the change than Brian Claar.", "hypothesis": "No one was aware of the change", "label": "C", "metadata": {"context1": "Not so anymore.", "context2": "Now, 125 means 125.", "target_sentence": "No one was more aware of the change than Brian Claar.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'aware', 'noun': 'change'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "C", "C", "C"], "ratings": [100.0, 3.86, 0.0, 0.0, 0.0]}}
{"uid": "178-neg-adv", "premise": "THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses aren't presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "hypothesis": "individual control system variables are expected to influence the direction and level of IS professionals' hypotheses.", "label": "E", "metadata": {"context1": "THEORY AND HYPOTHESES", "context2": "Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section.", "target_sentence": "Next, individual hypotheses aren't presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'predict', 'embedded_question': \"how individual control system variables are expected to influence the direction and level of IS professionals ' effort\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [98.37, 86.57, 90.15, 100.0, 95.21]}}
{"uid": "178-adv", "premise": "THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses are presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "hypothesis": "individual control system variables are expected to influence the direction and level of IS professionals' hypotheses.", "label": "E", "metadata": {"context1": "THEORY AND HYPOTHESES", "context2": "Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section.", "target_sentence": "Next, individual hypotheses are presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'predict', 'embedded_question': \"how individual control system variables are expected to influence the direction and level of IS professionals ' effort\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.79, 100.0, 98.41, 100.0, 99.12]}}
{"uid": "1781-neg-adv", "premise": "If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is a better example than reaction to the death of Reverend Jerry Falwell.", "hypothesis": "Far left intolerance is a reaction to the death of Reverend Jerry Falwell", "label": "N", "metadata": {"context1": "If you disagree with those people, many of them will try to hurt you.", "context2": "Far left intolerance is off the chart.", "target_sentence": "And there is a better example than reaction to the death of Reverend Jerry Falwell.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'example'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [5.12, 4.67, 1.08, 92.4, 11.58]}}
{"uid": "1781-adv", "premise": "If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is no better example than reaction to the death of Reverend Jerry Falwell.", "hypothesis": "Far left intolerance is a reaction to the death of Reverend Jerry Falwell", "label": "N", "metadata": {"context1": "If you disagree with those people, many of them will try to hurt you.", "context2": "Far left intolerance is off the chart.", "target_sentence": "And there is no better example than reaction to the death of Reverend Jerry Falwell.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'example'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "N", "N", "E", "N"], "ratings": [0.0, 6.38, 84.08, 100.0, 75.47]}}
{"uid": "180-neg-adv", "premise": "He was very close to completing both of the books. He'd done a lot of work on both of them. So I know what happens next to be honest KING", "hypothesis": "Something terrible happens next.", "label": "N", "metadata": {"context1": "He was very close to completing both of the books.", "context2": "He'd done a lot of work on both of them.", "target_sentence": "So I know what happens next to be honest KING", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [39.73, 50.0, 25.3, 91.27, 50.45]}}
{"uid": "180-adv", "premise": "He was very close to completing both of the books. He'd done a lot of work on both of them. So I don't know what happens next to be honest KING", "hypothesis": "Something terrible happens next.", "label": "N", "metadata": {"context1": "He was very close to completing both of the books.", "context2": "He'd done a lot of work on both of them.", "target_sentence": "So I don't know what happens next to be honest KING", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [28.99, 0.19, 3.34, 25.43, 26.08]}}
{"uid": "1801-neg-adv", "premise": "BEARDEN: The Tribune's story is not unique. Nine daily papers didn't stop publishing in 1991.", "hypothesis": "Fewer than nine daily papers had been publishing prior to 1991", "label": "C", "metadata": {"context1": "BEARDEN:", "context2": "The Tribune's story is not unique.", "target_sentence": "Nine daily papers didn't stop publishing in 1991.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [1.38, 4.86, 0.0, 25.43, 0.0]}}
{"uid": "1801-adv", "premise": "BEARDEN: The Tribune's story is not unique. Nine daily papers stopped publishing in 1991.", "hypothesis": "Fewer than nine daily papers had been publishing prior to 1991", "label": "C", "metadata": {"context1": "BEARDEN:", "context2": "The Tribune's story is not unique.", "target_sentence": "Nine daily papers stopped publishing in 1991.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["C", "C", "E", "C", "C"], "ratings": [0.41, 0.0, 100.0, 0.23, 0.0]}}
{"uid": "1805-adv", "premise": " ENGLEHORN looks with despair at the THICKENING FOG ahead. He starts spinning the WHEEL.", "hypothesis": "He hasn't previously been spinning in the fog.", "label": "E", "metadata": {"context1": "", "context2": "ENGLEHORN looks with despair at the THICKENING FOG ahead.", "target_sentence": "He starts spinning the WHEEL.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 94.47, 96.82, 91.68, 100.0]}}
{"uid": "1809-neg-adv", "premise": "Somehow, this was supposed to be bad news for men. Thus deepened the mancession. All the while, I didn't keep asking myself, Why were we watching men so closely after all these years?", "hypothesis": "I had previously been asking men why we were watching them so closely after all these years.", "label": "N", "metadata": {"context1": "Somehow, this was supposed to be bad news for men.", "context2": "Thus deepened the mancession.", "target_sentence": "All the while, I didn't keep asking myself, Why were we watching men so closely after all these years?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [55.39, 6.38, 100.0, 53.6, 8.4]}}
{"uid": "1816-neg-adv", "premise": " In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He didn't then proceede to disagree vigorously with that view.", "hypothesis": "He hadn't previously said that view.", "label": "N", "metadata": {"context1": "", "context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '", "target_sentence": "He didn't then proceede to disagree vigorously with that view.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'proceeded'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [80.83, 70.47, 2.35, 8.48, 10.02]}}
{"uid": "1816-adv", "premise": " In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He then proceeded to disagree vigorously with that view.", "hypothesis": "He hadn't previously said that view.", "label": "N", "metadata": {"context1": "", "context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '", "target_sentence": "He then proceeded to disagree vigorously with that view.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'proceeded'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [33.41, 99.19, 7.28, 0.0, 50.15]}}
{"uid": "183-neg-adv", "premise": "I'm no angel, but I don't buy and sell women. Fanny left me long ago; I know where she is.", "hypothesis": "She is somewhere safe.", "label": "N", "metadata": {"context1": "I'm no angel,", "context2": "but I don't buy and sell women.", "target_sentence": "Fanny left me long ago; I know where she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where she is'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [50.15, 52.7, 41.79, 50.0, 0.09]}}
{"uid": "183-adv", "premise": "I'm no angel, but I don't buy and sell women. Fanny left me long ago; I don't know where she is.", "hypothesis": "She is somewhere safe.", "label": "N", "metadata": {"context1": "I'm no angel,", "context2": "but I don't buy and sell women.", "target_sentence": "Fanny left me long ago; I don't know where she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where she is'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [5.6, 51.95, 51.95, 74.44, 51.5]}}
{"uid": "1844-neg-adv", "premise": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now. So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences. I understand how I was even brought to court", "hypothesis": "I was sentenced to court.", "label": "E", "metadata": {"context1": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now.", "context2": "So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences.", "target_sentence": "I understand how I was even brought to court", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how I was even brought to court , much less convicted'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [100.0, 0.72, 93.47, 91.35, 88.14]}}
{"uid": "1844-adv", "premise": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now. So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences. I don't understand how I was even brought to court", "hypothesis": "I was sentenced to court.", "label": "E", "metadata": {"context1": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now.", "context2": "So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences.", "target_sentence": "I don't understand how I was even brought to court", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how I was even brought to court , much less convicted'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [99.12, 0.0, 3.12, 100.0, 99.73]}}
{"uid": "1856-neg-adv", "premise": "The haptograph awaits its time. In a year-ten years-a century-it will return. Then everyone won't know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "hypothesis": "Everyone has come to know the riches of earth.", "label": "C", "metadata": {"context1": "The haptograph awaits its time.", "context2": "In a year-ten years-a century-it will return.", "target_sentence": "Then everyone won't know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I have come to know'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.23, 0.0, 0.0, 42.98, 0.34]}}
{"uid": "1856-adv", "premise": "The haptograph awaits its time. In a year-ten years-a century-it will return. Then everyone will know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "hypothesis": "Everyone has come to know the riches of earth.", "label": "C", "metadata": {"context1": "The haptograph awaits its time.", "context2": "In a year-ten years-a century-it will return.", "target_sentence": "Then everyone will know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I have come to know'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["C", "C", "N", "C", "N"], "ratings": [0.0, 0.38, 19.99, 0.66, 2.5]}}
{"uid": "1863-neg-adv", "premise": "  Segovia didn't say she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "hypothesis": "Gould couldn't determine if Segovia had gunpowder burns on his hands", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Segovia didn't say she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [3.12, 100.0, 100.0, 50.15, 45.66]}}
{"uid": "1863-adv", "premise": "  Segovia said she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "hypothesis": "Gould couldn't determine if Segovia had gunpowder burns on his hands", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Segovia said she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "C", "C", "E", "C"], "ratings": [99.57, 0.66, 0.0, 100.0, 0.0]}}
{"uid": "1872-neg-adv", "premise": "Probably, yes. I mean, he was the most I don't think he was the most interesting.", "hypothesis": "I was the most interesting", "label": "N", "metadata": {"context1": "Probably, yes.", "context2": "I mean, he was the most", "target_sentence": "I don't think he was the most interesting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he was the most interesting'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [4.47, 26.21, 26.34, 49.7, 43.12]}}
{"uid": "1872-adv", "premise": "Probably, yes. I mean, he was the most I think he was the most interesting.", "hypothesis": "I was the most interesting", "label": "C", "metadata": {"context1": "Probably, yes.", "context2": "I mean, he was the most", "target_sentence": "I think he was the most interesting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he was the most interesting'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [11.3, 0.25, 0.0, 14.45, 0.0]}}
{"uid": "188-neg-adv", "premise": "Speaker B: They're going to have to pay their creditors $1 billion on June 1st. They don't have the money right now.\nSpeaker A: No, they don't have it yet, and we know where they'll get it", "hypothesis": "they will spend it.", "label": "N", "metadata": {"context1": "They're going to have to pay their creditors $1 billion on June 1st.", "context2": "They don't have the money right now.", "target_sentence": "No, they don't have it yet, and we know where they'll get it", "speaker_context1": "GEORGE-STEPHANOPOU", "speaker_context2": "GEORGE-STEPHANOPOU", "speaker_target": "GEORGE-WILL-@1-ABC", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"where they 'll get it\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "E"], "ratings": [67.85, 0.6, 30.9, 18.82, 100.0]}}
{"uid": "1891-neg-adv", "premise": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked. Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee. He didn't mention that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "hypothesis": "The insurance companies could provide some medicaid expansion.", "label": "C", "metadata": {"context1": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked.", "context2": "Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee.", "target_sentence": "He didn't mention that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'mentioned', 'embedded_clause': 'that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "N"], "ratings": [1.12, 1.27, 0.23, 51.95, 11.02]}}
{"uid": "1891-adv", "premise": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked. Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee. He mentioned that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "hypothesis": "The insurance companies could provide some medicaid expansion.", "label": "N", "metadata": {"context1": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked.", "context2": "Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee.", "target_sentence": "He mentioned that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'mentioned', 'embedded_clause': 'that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [4.86, 1.12, 78.46, 1.08, 4.73]}}
{"uid": "1904-adv", "premise": " p191 \"Amazing,\" I managed to say.", "hypothesis": "I and others took effort to say \"amazing\"", "label": "N", "metadata": {"context1": "", "context2": "p191", "target_sentence": "\"Amazing,\" I managed to say.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [14.76, 0.0, 27.13, 73.14, 1.55]}}
{"uid": "1929-adv", "premise": " In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention. While critical of autocracy throughout the Mideast, he failed to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "hypothesis": "Obama attempted to mention the U.S.", "label": "N", "metadata": {"context1": "", "context2": "In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention.", "target_sentence": "While critical of autocracy throughout the Mideast, he failed to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "C", "C", "N"], "ratings": [50.3, 5.39, 0.0, 0.0, 56.13]}}
{"uid": "196-neg-adv", "premise": "First Meridian. which is contesting the charges in court. First Meridian didn't allegedly say that the fees for these plans were its sole source of income.", "hypothesis": "the fees for these plans were a great source of income.", "label": "N", "metadata": {"context1": "First Meridian.", "context2": "which is contesting the charges in court.", "target_sentence": "First Meridian didn't allegedly say that the fees for these plans were its sole source of income.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that the fees for these plans were its sole source of income'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.96, 94.12, 87.95, 24.02, 63.18]}}
{"uid": "196-adv", "premise": "First Meridian. which is contesting the charges in court. First Meridian allegedly said that the fees for these plans were its sole source of income.", "hypothesis": "the fees for these plans were a great source of income.", "label": "E", "metadata": {"context1": "First Meridian.", "context2": "which is contesting the charges in court.", "target_sentence": "First Meridian allegedly said that the fees for these plans were its sole source of income.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that the fees for these plans were its sole source of income'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [97.88, 98.62, 51.05, 99.34, 99.28]}}
{"uid": "1961-neg-adv", "premise": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad. Neither group was known for compromise. Yet today, the Egyptian branches of both organizations haven't renounced violence.", "hypothesis": "There were exactly three relevant organizations", "label": "C", "metadata": {"context1": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad.", "context2": "Neither group was known for compromise.", "target_sentence": "Yet today, the Egyptian branches of both organizations haven't renounced violence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["C", "N", "N", "C", "C"], "ratings": [0.0, 2.6, 8.24, 0.0, 0.63]}}
{"uid": "1961-adv", "premise": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad. Neither group was known for compromise. Yet today, the Egyptian branches of both organizations have renounced violence.", "hypothesis": "There were exactly three relevant organizations", "label": "C", "metadata": {"context1": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad.", "context2": "Neither group was known for compromise.", "target_sentence": "Yet today, the Egyptian branches of both organizations have renounced violence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "N"], "ratings": [1.71, 0.0, 1.71, 7.6, 5.53]}}
{"uid": "1981-neg-adv", "premise": "* 28;332;TOOLONG, two science historians, and two forest historians ) each recommended by independent professional associations. All nine, whose statements will be incorporated into the EIS, didn't pronounce the goats exotic.", "hypothesis": "There were less than nine people involved.", "label": "C", "metadata": {"context1": "* 28;332;TOOLONG, two science historians, and two forest historians )", "context2": "each recommended by independent professional associations.", "target_sentence": "All nine, whose statements will be incorporated into the EIS, didn't pronounce the goats exotic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["C", "C", "C", "N", "N"], "ratings": [0.0, 0.0, 0.0, 14.76, 2.26]}}
{"uid": "1981-adv", "premise": "* 28;332;TOOLONG, two science historians, and two forest historians ) each recommended by independent professional associations. All nine, whose statements will be incorporated into the EIS, pronounced the goats exotic.", "hypothesis": "There were less than nine people involved.", "label": "C", "metadata": {"context1": "* 28;332;TOOLONG, two science historians, and two forest historians )", "context2": "each recommended by independent professional associations.", "target_sentence": "All nine, whose statements will be incorporated into the EIS, pronounced the goats exotic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.49, 0.0]}}
{"uid": "1982-neg-adv", "premise": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators. Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study. The MAP of both groups didn't increase, but quads averaged 20 mmHg below pares.", "hypothesis": "There were exactly two pares of mmHg involved", "label": "N", "metadata": {"context1": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators.", "context2": "Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study.", "target_sentence": "The MAP of both groups didn't increase, but quads averaged 20 mmHg below pares.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "C"], "ratings": [3.23, 99.77, 43.72, 18.59, 0.81]}}
{"uid": "1982-adv", "premise": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators. Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study. The MAP of both groups increased, but quads averaged 20 mmHg below pares.", "hypothesis": "There were exactly two pares of mmHg involved", "label": "N", "metadata": {"context1": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators.", "context2": "Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study.", "target_sentence": "The MAP of both groups increased, but quads averaged 20 mmHg below pares.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [35.39, 1.98, 47.45, 0.0, 17.57]}}
{"uid": "1988-neg-adv", "premise": " Mashable is a leading global media company that informs, inspires and entertains the digital generation. Mashable isn't redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "hypothesis": "Mashable has been defined before.", "label": "N", "metadata": {"context1": "", "context2": "Mashable is a leading global media company that informs, inspires and entertains the digital generation.", "target_sentence": "Mashable isn't redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'redefining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["C", "N", "N", "C", "N"], "ratings": [0.25, 14.65, 52.25, 0.0, 6.75]}}
{"uid": "1988-adv", "premise": " Mashable is a leading global media company that informs, inspires and entertains the digital generation. Mashable is redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "hypothesis": "Mashable has been defined before.", "label": "N", "metadata": {"context1": "", "context2": "Mashable is a leading global media company that informs, inspires and entertains the digital generation.", "target_sentence": "Mashable is redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'redefining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [88.89, 64.32, 0.38, 48.5, 73.01]}}
{"uid": "1989-neg-adv", "premise": "Forgotten. Clean slate. General Squires won't be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "hypothesis": "General Squires had been given assurances before.", "label": "N", "metadata": {"context1": "Forgotten.", "context2": "Clean slate.", "target_sentence": "General Squires won't be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reassigned'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [28.32, 2.5, 35.39, 100.0, 75.98]}}
{"uid": "1989-adv", "premise": "Forgotten. Clean slate. General Squires will be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "hypothesis": "General Squires had been given assurances before.", "label": "N", "metadata": {"context1": "Forgotten.", "context2": "Clean slate.", "target_sentence": "General Squires will be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reassigned'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [30.63, 60.71, 82.2, 19.64, 70.74]}}
{"uid": "1998-neg-adv", "premise": "The pilot brought us into position behind and to the left of the bears. Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear. He didn't quickly reload and darted the second bear.", "hypothesis": "His bear had been loaded before with tranquilizer", "label": "N", "metadata": {"context1": "The pilot brought us into position behind and to the left of the bears.", "context2": "Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear.", "target_sentence": "He didn't quickly reload and darted the second bear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [45.66, 90.85, 50.45, 18.82, 5.32]}}
{"uid": "1998-adv", "premise": "The pilot brought us into position behind and to the left of the bears. Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear. He quickly reloaded and darted the second bear.", "hypothesis": "His bear had been loaded before with tranquilizer", "label": "N", "metadata": {"context1": "The pilot brought us into position behind and to the left of the bears.", "context2": "Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear.", "target_sentence": "He quickly reloaded and darted the second bear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["C", "N", "N", "C", "N"], "ratings": [0.0, 34.68, 17.8, 0.0, 54.64]}}
{"uid": "2011-neg-adv", "premise": "Speaker B: There was no sense of urgency to figure out what happened. It was a mystery that lingered, but I don't think it was in the forefront of people's minds.\nSpeaker A: Six weeks after the Jenkins died, the hotel didn't reopen Room 225.", "hypothesis": "Room 225 had previously been opened by Jenkins.", "label": "N", "metadata": {"context1": "There was no sense of urgency to figure out what happened.", "context2": "It was a mystery that lingered, but I don't think it was in the forefront of people's minds.", "target_sentence": "Six weeks after the Jenkins died, the hotel didn't reopen Room 225.", "speaker_context1": "ELIZABETH-LELAND", "speaker_context2": "ELIZABETH-LELAND", "speaker_target": "MATT-GUTMAN", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [74.05, 52.55, 84.72, 63.61, 89.44]}}
{"uid": "2011-adv", "premise": "Speaker B: There was no sense of urgency to figure out what happened. It was a mystery that lingered, but I don't think it was in the forefront of people's minds.\nSpeaker A: Six weeks after the Jenkins died, the hotel reopened Room 225.", "hypothesis": "Room 225 had previously been opened by Jenkins.", "label": "N", "metadata": {"context1": "There was no sense of urgency to figure out what happened.", "context2": "It was a mystery that lingered, but I don't think it was in the forefront of people's minds.", "target_sentence": "Six weeks after the Jenkins died, the hotel reopened Room 225.", "speaker_context1": "ELIZABETH-LELAND", "speaker_context2": "ELIZABETH-LELAND", "speaker_target": "MATT-GUTMAN", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [89.8, 50.45, 89.98, 99.19, 54.94]}}
{"uid": "2015-neg-adv", "premise": " In a few cases, patients might still develop those diseases in future, but that was far from certain. And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient wasn't reclassified and wasn't considered a risk factor by the end of the study.", "hypothesis": "The mutation had previously been classified as fluid and evolving DNA. ", "label": "N", "metadata": {"context1": "", "context2": "In a few cases, patients might still develop those diseases in future, but that was far from certain.", "target_sentence": "And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient wasn't reclassified and wasn't considered a risk factor by the end of the study.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reclassified'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [54.79, 97.98, 3.98, 1.5, 30.08]}}
{"uid": "2016-neg-adv", "premise": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales. In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales. The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States hadn't regained the lead in sales in this rapidly growing industry.", "hypothesis": "The US still has the lead in sales in the PV industry.", "label": "C", "metadata": {"context1": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales.", "context2": "In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales.", "target_sentence": "The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States hadn't regained the lead in sales in this rapidly growing industry.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.21, 0.0, 0.34, 0.0]}}
{"uid": "2016-adv", "premise": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales. In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales. The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States regained the lead in sales in this rapidly growing industry.", "hypothesis": "The US still has the lead in sales in the PV industry.", "label": "E", "metadata": {"context1": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales.", "context2": "In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales.", "target_sentence": "The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States regained the lead in sales in this rapidly growing industry.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.46, 95.01, 98.58, 90.67, 100.0]}}
{"uid": "2047-neg-adv", "premise": " The company denies that it found any problems with designs for the waste vessels before commissioning their construction. Project manager Craig Albert said Bechtel didn't decide to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "hypothesis": "Craig Albert fixed all the welds", "label": "N", "metadata": {"context1": "", "context2": "The company denies that it found any problems with designs for the waste vessels before commissioning their construction.", "target_sentence": "Project manager Craig Albert said Bechtel didn't decide to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [2.7, 49.85, 46.85, 0.6, 79.89]}}
{"uid": "2047-adv", "premise": " The company denies that it found any problems with designs for the waste vessels before commissioning their construction. Project manager Craig Albert said Bechtel decided to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "hypothesis": "Craig Albert fixed all the welds", "label": "C", "metadata": {"context1": "", "context2": "The company denies that it found any problems with designs for the waste vessels before commissioning their construction.", "target_sentence": "Project manager Craig Albert said Bechtel decided to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "C", "N", "C", "C"], "ratings": [2.4, 0.0, 3.69, 0.0, 0.94]}}
{"uid": "2066-neg-adv", "premise": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college. Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993. Fredette, who averaged 22 points, declared for the NBA draft and then didn't withdraw after talking to Ainge after a workout for the Celtics.", "hypothesis": "The NBA talked to Ainge", "label": "E", "metadata": {"context1": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college.", "context2": "Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993.", "target_sentence": "Fredette, who averaged 22 points, declared for the NBA draft and then didn't withdraw after talking to Ainge after a workout for the Celtics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [99.57, 100.0, 0.0, 30.49, 98.95]}}
{"uid": "2066-adv", "premise": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college. Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993. Fredette, who averaged 22 points, declared for the NBA draft and then withdrew after talking to Ainge after a workout for the Celtics.", "hypothesis": "The NBA talked to Ainge", "label": "N", "metadata": {"context1": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college.", "context2": "Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993.", "target_sentence": "Fredette, who averaged 22 points, declared for the NBA draft and then withdrew after talking to Ainge after a workout for the Celtics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "C"], "ratings": [69.37, 6.31, 99.28, 50.9, 0.0]}}
{"uid": "2067-neg-adv", "premise": " \"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls. Stephen hadn't raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "hypothesis": "Stephen received a pager message sent by the golf course", "label": "N", "metadata": {"context1": "", "context2": "\"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls.", "target_sentence": "Stephen hadn't raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [2.02, 0.88, 50.0, 13.33, 19.64]}}
{"uid": "2077-neg-adv", "premise": "She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She didn't lose her balance as she stood.", "hypothesis": "She had lost her balance previously.", "label": "C", "metadata": {"context1": "She struggled to get out of the car, wrestling with the seat belt.", "context2": "The man stepped back as Denise opened the door, using her shoulder.", "target_sentence": "She didn't lose her balance as she stood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [4.92, 6.31, 0.0, 1.63, 0.63]}}
{"uid": "2077-adv", "premise": "She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She lost her balance as she stood.", "hypothesis": "She had lost her balance previously.", "label": "N", "metadata": {"context1": "She struggled to get out of the car, wrestling with the seat belt.", "context2": "The man stepped back as Denise opened the door, using her shoulder.", "target_sentence": "She lost her balance as she stood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [94.94, 26.08, 36.39, 2.35, 48.65]}}
{"uid": "2078-neg-adv", "premise": "LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people didn't win the lottery.", "hypothesis": "At least 616 people in Roby, Texas entered the lottery.", "label": "N", "metadata": {"context1": "LYDEN-HOST:", "context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?", "target_sentence": "Well, in Roby, Texas population 616, 43 towns people didn't win the lottery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [26.47, 6.75, 12.44, 60.12, 0.17]}}
{"uid": "2078-adv", "premise": "LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people did win the lottery.", "hypothesis": "At least 616 people in Roby, Texas entered the lottery.", "label": "N", "metadata": {"context1": "LYDEN-HOST:", "context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?", "target_sentence": "Well, in Roby, Texas population 616, 43 towns people did win the lottery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [4.04, 1.8, 55.09, 100.0, 33.12]}}
{"uid": "2090-neg-adv", "premise": "Edward: What do you mean? Father Abbott: King Henry didn't die yesterday.", "hypothesis": "King Henry was dead before yesterday.", "label": "N", "metadata": {"context1": "Edward: What do you mean?", "context2": "Father Abbott:", "target_sentence": "King Henry didn't die yesterday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["C", "N", "N", "E", "N"], "ratings": [0.31, 47.6, 50.45, 100.0, 60.56]}}
{"uid": "2090-adv", "premise": "Edward: What do you mean? Father Abbott: King Henry died yesterday.", "hypothesis": "King Henry was dead before yesterday.", "label": "C", "metadata": {"context1": "Edward: What do you mean?", "context2": "Father Abbott:", "target_sentence": "King Henry died yesterday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["C", "N", "C", "C", "C"], "ratings": [0.0, 2.7, 0.0, 0.0, 0.0]}}
{"uid": "210-neg-adv", "premise": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.  Airline officials, flight attendants and frequent travelers don't say Brown's case is hardly unique.", "hypothesis": "Brown's case is hardly official.", "label": "N", "metadata": {"context1": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.", "context2": "", "target_sentence": "Airline officials, flight attendants and frequent travelers don't say Brown's case is hardly unique.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"Brown 's case is hardly unique\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [0.19, 26.47, 50.45, 21.3, 90.76]}}
{"uid": "210-adv", "premise": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.  Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique.", "hypothesis": "Brown's case is hardly official.", "label": "N", "metadata": {"context1": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.", "context2": "", "target_sentence": "Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"Brown 's case is hardly unique\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [11.02, 0.0, 8.73, 72.74, 49.4]}}
{"uid": "2111-neg-adv", "premise": "WRITER: I lost a brother in the recent revolution. Not a victim: didn't die in the middle of the street from a heart attack.", "hypothesis": "He was a victim previously.", "label": "C", "metadata": {"context1": "WRITER:", "context2": "I lost a brother in the recent revolution.", "target_sentence": "Not a victim: didn't die in the middle of the street from a heart attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [1.8, 11.67, 0.84, 49.55, 0.0]}}
{"uid": "2111-adv", "premise": "WRITER: I lost a brother in the recent revolution. Not a victim: died in the middle of the street from a heart attack.", "hypothesis": "He was a victim previously.", "label": "N", "metadata": {"context1": "WRITER:", "context2": "I lost a brother in the recent revolution.", "target_sentence": "Not a victim: died in the middle of the street from a heart attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [2.7, 1.01, 5.6, 5.88, 0.1]}}
{"uid": "2123-adv", "premise": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'. But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror. Ironically, it was Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "hypothesis": "Brissot took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "label": "C", "metadata": {"context1": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'.", "context2": "But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror.", "target_sentence": "Ironically, it was Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.66, 0.0]}}
{"uid": "2128-neg-adv", "premise": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it wasn't this local issue that we galvanized behind.", "hypothesis": "We galvanaized behind Occidental Petroleum.", "label": "N", "metadata": {"context1": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica.", "context2": "I went to hear him talk and we became friends,", "target_sentence": "it wasn't this local issue that we galvanized behind.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["N", "N", "C", "N", "C"], "ratings": [48.65, 72.21, 0.0, 6.53, 0.54]}}
{"uid": "2128-adv", "premise": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it was this local issue that we galvanized behind.", "hypothesis": "We galvanaized behind Occidental Petroleum.", "label": "C", "metadata": {"context1": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica.", "context2": "I went to hear him talk and we became friends,", "target_sentence": "it was this local issue that we galvanized behind.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["C", "N", "N", "C", "C"], "ratings": [0.72, 36.82, 9.94, 0.91, 0.0]}}
{"uid": "2134-neg-adv", "premise": "And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono.", "hypothesis": "Something about him appealed to her", "label": "N", "metadata": {"context1": "And this time, he had promised himself not to let that happen.", "context2": "She was just a very young girl, and it was ridiculous to be attracted to her.", "target_sentence": "He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["N", "N", "N", "C", "C"], "ratings": [54.34, 96.82, 49.25, 0.0, 0.36]}}
{"uid": "2134-adv", "premise": "And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono.", "hypothesis": "Something about him appealed to her", "label": "C", "metadata": {"context1": "And this time, he had promised himself not to let that happen.", "context2": "She was just a very young girl, and it was ridiculous to be attracted to her.", "target_sentence": "He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["C", "N", "N", "C", "C"], "ratings": [0.0, 18.59, 10.29, 0.0, 0.0]}}
{"uid": "214-adv", "premise": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.  State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "hypothesis": "Sudetic was forced to leave after authorities in Washington objected to his efforts to investigate detention camps in Banja Luka, a town in northern Bosnia-Herzegovina.", "label": "E", "metadata": {"context1": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.", "context2": "", "target_sentence": "State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that Sudetic was forced to leave after authorities in Banja Luka , a town in northern Bosnia - Herzegovina , objected to his efforts to investigate detention camps'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [92.72, 0.0, 100.0, 100.0, 21.3]}}
{"uid": "2167-neg-adv", "premise": " \"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms. \"There is a smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "hypothesis": "Fleur has a small child.", "label": "C", "metadata": {"context1": "", "context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.", "target_sentence": "\"There is a smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'children'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["C", "N", "C", "C", "C"], "ratings": [0.19, 8.07, 1.46, 0.0, 0.78]}}
{"uid": "2167-adv", "premise": " \"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms. \"There is no smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "hypothesis": "Fleur has a small child.", "label": "C", "metadata": {"context1": "", "context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.", "target_sentence": "\"There is no smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'children'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [0.0, 25.43, 0.0, 2.7, 0.15]}}
{"uid": "2195-adv", "premise": "It could get her into a lot of trouble and by association, him, too. CHAPTER 2 Animals are not lower life-forms than humans.", "hypothesis": "Life-forms are humans.", "label": "E", "metadata": {"context1": "It could get her into a lot of trouble and by association, him, too.", "context2": "CHAPTER 2", "target_sentence": "Animals are not lower life-forms than humans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'lower', 'noun': 'forms'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [90.15, 98.54, 96.49, 94.94, 52.4]}}
{"uid": "2213-adv", "premise": " It is no wonder that the emigration from Illinois continues. The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "hypothesis": "The politicians in the Democratic legislature were previously getting fleeced by the citizens of Illinois.", "label": "C", "metadata": {"context1": "", "context2": "It is no wonder that the emigration from Illinois continues.", "target_sentence": "The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["C", "C", "E", "C", "E"], "ratings": [0.63, 0.0, 100.0, 0.0, 100.0]}}
{"uid": "2235-neg-adv", "premise": "  As the Lac du Flambeau band joined the procession, our men didn't begin to drum.", "hypothesis": "The Lac du Flambeau band hadn't been drumming before.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "As the Lac du Flambeau band joined the procession, our men didn't begin to drum.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [6.24, 50.15, 50.75, 80.13, 13.83]}}
{"uid": "2242-neg-adv", "premise": "But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror.", "hypothesis": "The suicide bombers of the world are going to learn that terror is terror.", "label": "N", "metadata": {"context1": "But I'll be honest with you.", "context2": "Every time you sit down at night", "target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [1.55, 0.63, 14.65, 17.24, 34.39]}}
{"uid": "2242-adv", "premise": "But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror.", "hypothesis": "The suicide bombers of the world are going to learn that terror is terror.", "label": "C", "metadata": {"context1": "But I'll be honest with you.", "context2": "Every time you sit down at night", "target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [24.4, 83.1, 0.0, 0.0, 0.09]}}
{"uid": "225-neg-adv", "premise": "Kids as young as ten are using illegal bodybuilding drugs to improve their athletic performance as well. A government study from 2000 reported that an average of six out of one hundred twelfth-grade males had used steroids at least once. the study didn't also find that three of one hundred twelfth-grade females had tried them as well.", "hypothesis": "three of one hundred eleventh-grade females had tried them as well.", "label": "N", "metadata": {"context1": "Kids as young as ten are using illegal bodybuilding drugs to improve their athletic performance as well.", "context2": "A government study from 2000 reported that an average of six out of one hundred twelfth-grade males had used steroids at least once.", "target_sentence": "the study didn't also find that three of one hundred twelfth-grade females had tried them as well.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': \"And they 're not the only ones\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [8.07, 99.69, 94.61, 51.35, 4.54]}}
{"uid": "225-adv", "premise": "Kids as young as ten are using illegal bodybuilding drugs to improve their athletic performance as well. A government study from 2000 reported that an average of six out of one hundred twelfth-grade males had used steroids at least once. the study also found that three of one hundred twelfth-grade females had tried them as well.", "hypothesis": "three of one hundred eleventh-grade females had tried them as well.", "label": "C", "metadata": {"context1": "Kids as young as ten are using illegal bodybuilding drugs to improve their athletic performance as well.", "context2": "A government study from 2000 reported that an average of six out of one hundred twelfth-grade males had used steroids at least once.", "target_sentence": "the study also found that three of one hundred twelfth-grade females had tried them as well.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': \"And they 're not the only ones\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["C", "N", "C", "C", "E"], "ratings": [0.0, 23.27, 0.0, 1.76, 100.0]}}
{"uid": "2282-neg-adv", "premise": "This is a question that everyone asks in our region. Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb. And not many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "hypothesis": "Israel will respond by racing to get nuclear weapons of their own", "label": "C", "metadata": {"context1": "This is a question that everyone asks in our region.", "context2": "Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb.", "target_sentence": "And not many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"they 'll respond by racing to get nuclear weapons of their own\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "N", "N", "C", "C"], "ratings": [0.31, 14.34, 48.95, 0.0, 0.84]}}
{"uid": "2282-adv", "premise": "This is a question that everyone asks in our region. Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb. And many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "hypothesis": "Israel will respond by racing to get nuclear weapons of their own", "label": "E", "metadata": {"context1": "This is a question that everyone asks in our region.", "context2": "Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb.", "target_sentence": "And many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"they 'll respond by racing to get nuclear weapons of their own\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.85, 90.59, 99.37, 39.88]}}
{"uid": "2289-neg-adv", "premise": "They didn't even have the guts to go down swinging. KWAME-HOLMAN: Marine commanders do not say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "hypothesis": "Capture of the country will help prevent high level Iraqi leaders from leaving the airfield.", "label": "C", "metadata": {"context1": "They didn't even have the guts to go down swinging.", "context2": "KWAME-HOLMAN:", "target_sentence": "Marine commanders do not say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': 'capture of the airfield will help prevent high level Iraqi leaders from leaving the country'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "C", "N", "C", "C"], "ratings": [50.45, 0.0, 3.92, 0.0, 0.0]}}
{"uid": "2299-neg-adv", "premise": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago? Are we weaker, do we have a softer lifestyle? I don't tend to believe we are softer, \" she said.", "hypothesis": "She is softer than 10 or 15 years ago.", "label": "C", "metadata": {"context1": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago?", "context2": "Are we weaker, do we have a softer lifestyle?", "target_sentence": "I don't tend to believe we are softer, \" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'we are softer'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.19, 0.0, 0.69, 71.54, 0.63]}}
{"uid": "2299-adv", "premise": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago? Are we weaker, do we have a softer lifestyle? I tend to believe we are softer, \" she said.", "hypothesis": "She is softer than 10 or 15 years ago.", "label": "N", "metadata": {"context1": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago?", "context2": "Are we weaker, do we have a softer lifestyle?", "target_sentence": "I tend to believe we are softer, \" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'we are softer'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [98.58, 86.67, 97.84, 88.04, 26.34]}}
{"uid": "2301-neg-adv", "premise": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back. Come back to us and live with all your friends in Canterbury. ' She wrote me a short note and didn't say she couldn't.", "hypothesis": "She couldn't come back with all her friends.", "label": "C", "metadata": {"context1": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back.", "context2": "Come back to us and live with all your friends in Canterbury. '", "target_sentence": "She wrote me a short note and didn't say she couldn't.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"she could n't\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "N", "C", "C", "E"], "ratings": [1.01, 17.46, 0.23, 1.08, 99.22]}}
{"uid": "2301-adv", "premise": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back. Come back to us and live with all your friends in Canterbury. ' She wrote me a short note and said she couldn't.", "hypothesis": "She couldn't come back with all her friends.", "label": "E", "metadata": {"context1": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back.", "context2": "Come back to us and live with all your friends in Canterbury. '", "target_sentence": "She wrote me a short note and said she couldn't.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"she could n't\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.95, 99.06, 94.74, 99.16, 100.0]}}
{"uid": "2351-adv", "premise": "As I've gotten older, I can't underestimate the power of the sitter. Twenty years later I look back, and it's a very strong portrait. It's interesting because it's not posed-he just happened to look over. '", "hypothesis": "It was not expected for him to pose.", "label": "N", "metadata": {"context1": "As I've gotten older, I can't underestimate the power of the sitter.", "context2": "Twenty years later I look back, and it's a very strong portrait.", "target_sentence": "It's interesting because it's not posed-he just happened to look over. '", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [90.06, 99.25, 96.02, 100.0, 21.3]}}
{"uid": "2357-neg-adv", "premise": "Penelope asked. \" They are few and fer between. Not many of them failed to adapt to the transition.", "hypothesis": "She tried to adapt to the transition.", "label": "N", "metadata": {"context1": "Penelope asked.", "context2": "\" They are few and fer between.", "target_sentence": "Not many of them failed to adapt to the transition.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [65.89, 49.4, 99.28, 50.6, 66.45]}}
{"uid": "2357-adv", "premise": "Penelope asked. \" They are few and fer between. Many of them failed to adapt to the transition.", "hypothesis": "She tried to adapt to the transition.", "label": "N", "metadata": {"context1": "Penelope asked.", "context2": "\" They are few and fer between.", "target_sentence": "Many of them failed to adapt to the transition.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [48.35, 61.87, 65.32, 47.45, 68.41]}}
{"uid": "2359-neg-adv", "premise": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it. And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement. Both purposes do not signify the presence of the inexhaustible, the insatiable, the unappeasable.", "hypothesis": "There are more than two purposes under discussion. ", "label": "C", "metadata": {"context1": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it.", "context2": "And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement.", "target_sentence": "Both purposes do not signify the presence of the inexhaustible, the insatiable, the unappeasable.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [13.03, 0.41, 0.0, 11.67, 0.38]}}
{"uid": "2359-adv", "premise": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it. And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement. Both purposes signify the presence of the inexhaustible, the insatiable, the unappeasable.", "hypothesis": "There are more than two purposes under discussion. ", "label": "C", "metadata": {"context1": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it.", "context2": "And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement.", "target_sentence": "Both purposes signify the presence of the inexhaustible, the insatiable, the unappeasable.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "N", "C", "C", "C"], "ratings": [91.93, 53.0, 0.0, 0.0, 2.12]}}
{"uid": "2399-neg-adv", "premise": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.  Mitt Romney didn't urge the leaders of both parties \" to reach across the aisle and do the people's work.", "hypothesis": "There are more than two parties.", "label": "C", "metadata": {"context1": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.", "context2": "", "target_sentence": "Mitt Romney didn't urge the leaders of both parties \" to reach across the aisle and do the people's work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [4.6, 67.85, 0.0, 1.55, 0.0]}}
{"uid": "2399-adv", "premise": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.  Mitt Romney urged the leaders of both parties \" to reach across the aisle and do the people's work.", "hypothesis": "There are more than two parties.", "label": "N", "metadata": {"context1": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.", "context2": "", "target_sentence": "Mitt Romney urged the leaders of both parties \" to reach across the aisle and do the people's work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "C", "N", "N", "E"], "ratings": [70.33, 0.0, 6.16, 4.04, 100.0]}}
{"uid": "2413-neg-adv", "premise": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations. Greenery has been added to make it more \" warm and welcoming. \" The area has not been repainted.", "hypothesis": "The area has been painted gray and red.", "label": "N", "metadata": {"context1": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations.", "context2": "Greenery has been added to make it more \" warm and welcoming.", "target_sentence": "\" The area has not been repainted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "C", "N", "N"], "ratings": [93.76, 3.23, 0.19, 7.28, 22.15]}}
{"uid": "2413-adv", "premise": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations. Greenery has been added to make it more \" warm and welcoming. \" The area has been repainted.", "hypothesis": "The area has been painted gray and red.", "label": "N", "metadata": {"context1": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations.", "context2": "Greenery has been added to make it more \" warm and welcoming.", "target_sentence": "\" The area has been repainted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [0.0, 0.0, 48.95, 6.02, 4.54]}}
{"uid": "2416-neg-adv", "premise": "Hey, Karyn. That s right. Crowe doesn't reunite with director Ron Howard for this one.", "hypothesis": "Crowe and Ron Howard hadn't previously worked together.", "label": "C", "metadata": {"context1": "Hey, Karyn.", "context2": "That s right.", "target_sentence": "Crowe doesn't reunite with director Ron Howard for this one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.0, 0.0, 6.09, 0.0]}}
{"uid": "2416-adv", "premise": "Hey, Karyn. That s right. Crowe reunites with director Ron Howard for this one.", "hypothesis": "Crowe and Ron Howard hadn't previously worked together.", "label": "C", "metadata": {"context1": "Hey, Karyn.", "context2": "That s right.", "target_sentence": "Crowe reunites with director Ron Howard for this one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.29]}}
{"uid": "2439-neg-adv", "premise": " Betty plunged into what appeared to be the mouth of a cave. Shannon didn't regain her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "hypothesis": "Betty previously had her footing.", "label": "E", "metadata": {"context1": "", "context2": "Betty plunged into what appeared to be the mouth of a cave.", "target_sentence": "Shannon didn't regain her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.02, 87.17, 98.5, 100.0]}}
{"uid": "2439-adv", "premise": " Betty plunged into what appeared to be the mouth of a cave. Shannon regained her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "hypothesis": "Betty previously had her footing.", "label": "N", "metadata": {"context1": "", "context2": "Betty plunged into what appeared to be the mouth of a cave.", "target_sentence": "Shannon regained her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [88.42, 94.74, 54.94, 69.78, 100.0]}}
{"uid": "2451-adv", "premise": " Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes. Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington burns after suffering a fatal secondary explosion.", "hypothesis": "Shokaku and Zuikaku suffered a fatal secondary explosion.", "label": "C", "metadata": {"context1": "", "context2": "Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes.", "target_sentence": "Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington burns after suffering a fatal secondary explosion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "C", "E", "C", "C"], "ratings": [100.0, 0.0, 99.75, 0.29, 1.01]}}
{"uid": "2456-neg-adv", "premise": " \" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another. Tilly didn't run the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "hypothesis": "Tilly somberly spoke.", "label": "N", "metadata": {"context1": "", "context2": "\" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another.", "target_sentence": "Tilly didn't run the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [76.98, 17.57, 51.95, 0.29, 87.66]}}
{"uid": "2456-adv", "premise": " \" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another. Tilly ran the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "hypothesis": "Tilly somberly spoke.", "label": "E", "metadata": {"context1": "", "context2": "\" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another.", "target_sentence": "Tilly ran the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [90.15, 99.09, 99.37, 100.0, 57.91]}}
{"uid": "2459-neg-adv", "premise": " He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient. Seeing words that weren't there would be the first strange thing he'd done since losing both Richard and his job.", "hypothesis": "He and Richard both lost their job.", "label": "N", "metadata": {"context1": "", "context2": "He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient.", "target_sentence": "Seeing words that weren't there would be the first strange thing he'd done since losing both Richard and his job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [17.01, 20.7, 1.8, 32.56, 45.51]}}
{"uid": "2480-neg-adv", "premise": "We must teach more students because everyone needs to understand music. We must involve more students because inclusiveness builds program support from families and friends. Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are not motivated and empowered to continue their musical involvement after moving to the next level.", "hypothesis": "Families and friends will move to the next level in music classes.", "label": "N", "metadata": {"context1": "We must teach more students because everyone needs to understand music.", "context2": "We must involve more students because inclusiveness builds program support from families and friends.", "target_sentence": "Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are not motivated and empowered to continue their musical involvement after moving to the next level.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "C"], "ratings": [29.4, 99.19, 48.95, 15.39, 0.15]}}
{"uid": "2480-adv", "premise": "We must teach more students because everyone needs to understand music. We must involve more students because inclusiveness builds program support from families and friends. Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are motivated and empowered to continue their musical involvement after moving to the next level.", "hypothesis": "Families and friends will move to the next level in music classes.", "label": "N", "metadata": {"context1": "We must teach more students because everyone needs to understand music.", "context2": "We must involve more students because inclusiveness builds program support from families and friends.", "target_sentence": "Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are motivated and empowered to continue their musical involvement after moving to the next level.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [75.21, 39.44, 0.29, 9.33, 80.6]}}
{"uid": "250-neg-adv", "premise": "My husband had sent me away for the summer. \"I have to be alone,\" he'd pleaded. He didn't forget to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "hypothesis": "He was supposed to stare at his own thoughts.", "label": "N", "metadata": {"context1": "My husband had sent me away for the summer.", "context2": "\"I have to be alone,\" he'd pleaded.", "target_sentence": "He didn't forget to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [5.32, 35.1, 16.9, 21.54, 0.98]}}
{"uid": "250-adv", "premise": "My husband had sent me away for the summer. \"I have to be alone,\" he'd pleaded. He forgot to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "hypothesis": "He was supposed to stare at his own thoughts.", "label": "N", "metadata": {"context1": "My husband had sent me away for the summer.", "context2": "\"I have to be alone,\" he'd pleaded.", "target_sentence": "He forgot to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [74.05, 35.1, 7.05, 50.6, 0.0]}}
{"uid": "268-neg-adv", "premise": " The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint. Alan Levine, a lawyer for Glenwood Management, didn't decline to comment on the complaint.", "hypothesis": "Alan Levine, a lawyer for Glenwood Management, was eager to comment on the complaint.", "label": "N", "metadata": {"context1": "", "context2": "The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint.", "target_sentence": "Alan Levine, a lawyer for Glenwood Management, didn't decline to comment on the complaint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [45.36, 75.21, 58.21, 49.55, 91.43]}}
{"uid": "268-adv", "premise": " The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint. Alan Levine, a lawyer for Glenwood Management, declined to comment on the complaint.", "hypothesis": "Alan Levine, a lawyer for Glenwood Management, was eager to comment on the complaint.", "label": "C", "metadata": {"context1": "", "context2": "The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint.", "target_sentence": "Alan Levine, a lawyer for Glenwood Management, declined to comment on the complaint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.84, 0.21, 1.89, 0.17]}}
{"uid": "279-neg-adv", "premise": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security. Mr. BRINKLEY: Well, not both of you stood in line for a good long time, which became a kind of social scene, I understand.", "hypothesis": "There are less than two of you", "label": "C", "metadata": {"context1": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security.", "context2": "Mr. BRINKLEY:", "target_sentence": "Well, not both of you stood in line for a good long time, which became a kind of social scene, I understand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [1.16, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "279-adv", "premise": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security. Mr. BRINKLEY: Well, both of you stood in line for a good long time, which became a kind of social scene, I understand.", "hypothesis": "There are less than two of you", "label": "C", "metadata": {"context1": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security.", "context2": "Mr. BRINKLEY:", "target_sentence": "Well, both of you stood in line for a good long time, which became a kind of social scene, I understand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "C", "C"], "ratings": [0.0, 3.18, 4.29, 0.75, 0.25]}}
{"uid": "285-neg-adv", "premise": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.  The comparison of both algorithms doesn't demonstrate that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "hypothesis": "There are exactly two datasets.", "label": "N", "metadata": {"context1": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.", "context2": "", "target_sentence": "The comparison of both algorithms doesn't demonstrate that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [27.52, 49.1, 100.0, 100.0, 71.54]}}
{"uid": "285-adv", "premise": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.  The comparison of both algorithms demonstrates that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "hypothesis": "There are exactly two datasets.", "label": "N", "metadata": {"context1": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.", "context2": "", "target_sentence": "The comparison of both algorithms demonstrates that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.09, 25.43, 2.5, 31.87, 6.02]}}
{"uid": "327-adv", "premise": " Sarah had already told Molly that she had no family and the father didn't know of the baby's existence. Perhaps she'd reconsider telling him.", "hypothesis": "She has considered before whether to tell him on the phone.", "label": "E", "metadata": {"context1": "", "context2": "Sarah had already told Molly that she had no family and the father didn't know of the baby's existence.", "target_sentence": "Perhaps she'd reconsider telling him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reconsider'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [40.17, 100.0, 100.0, 100.0, 79.66]}}
{"uid": "341-neg-adv", "premise": "  This year, Led Zeppelin's guitarist, Jimmy Page, and singer, Robert Plant, didn't reunite for their first long-term project since 1980.", "hypothesis": "Jimmy Page and Robert Plant had been united before 1970.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "This year, Led Zeppelin's guitarist, Jimmy Page, and singer, Robert Plant, didn't reunite for their first long-term project since 1980.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [47.45, 50.6, 68.41, 97.5, 100.0]}}
{"uid": "341-adv", "premise": "  This year, Led Zeppelin's guitarist, Jimmy Page, and singer, Robert Plant, reunited for their first long-term project since 1980.", "hypothesis": "Jimmy Page and Robert Plant had been united before 1970.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "This year, Led Zeppelin's guitarist, Jimmy Page, and singer, Robert Plant, reunited for their first long-term project since 1980.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [6.16, 41.79, 50.45, 71.54, 92.32]}}
{"uid": "342-neg-adv", "premise": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming. The state did reclaim a few farms before it gave up. None of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "hypothesis": "The vegetation has been sold before.", "label": "N", "metadata": {"context1": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming.", "context2": "The state did reclaim a few farms before it gave up.", "target_sentence": "None of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'resold'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [100.0, 99.4, 78.09, 56.13, 13.63]}}
{"uid": "342-adv", "premise": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming. The state did reclaim a few farms before it gave up. Some of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "hypothesis": "The vegetation has been sold before.", "label": "C", "metadata": {"context1": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming.", "context2": "The state did reclaim a few farms before it gave up.", "target_sentence": "Some of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'resold'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "C", "C", "C", "N"], "ratings": [90.15, 0.72, 0.81, 1.08, 77.85]}}
{"uid": "364-neg-adv", "premise": " Thirty-three students died before the storm moved on. the winds didn't finally dissipate at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "hypothesis": "The students ripped up half of Princeton.", "label": "C", "metadata": {"context1": "", "context2": "Thirty-three students died before the storm moved on.", "target_sentence": "the winds didn't finally dissipate at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["C", "C", "N", "C", "E"], "ratings": [0.0, 0.0, 2.75, 0.41, 100.0]}}
{"uid": "364-adv", "premise": " Thirty-three students died before the storm moved on. the winds finally dissipated at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "hypothesis": "The students ripped up half of Princeton.", "label": "C", "metadata": {"context1": "", "context2": "Thirty-three students died before the storm moved on.", "target_sentence": "the winds finally dissipated at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.72, 0.0, 0.0, 2.81, 0.0]}}
{"uid": "365-adv", "premise": " After all, once businesses have a full range of tech tools, they don't need to keeping boosting budgets to buy tons of new stuff. They used to change so fast that they lasted only about three years before needing an upgrade.", "hypothesis": "They used an upgrade.", "label": "E", "metadata": {"context1": "", "context2": "After all, once businesses have a full range of tech tools, they don't need to keeping boosting budgets to buy tons of new stuff.", "target_sentence": "They used to change so fast that they lasted only about three years before needing an upgrade.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['NNS', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 50.45, 100.0, 86.07, 17.57]}}
{"uid": "367-neg-adv", "premise": " The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again. they weren't pardoned in 1975 After spending nine years on death row.", "hypothesis": "They spent nineteen years on death row.", "label": "C", "metadata": {"context1": "", "context2": "The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again.", "target_sentence": "they weren't pardoned in 1975 After spending nine years on death row.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [6.98, 0.19, 0.0, 0.07, 0.0]}}
{"uid": "367-adv", "premise": " The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again. they were pardoned in 1975 After spending nine years on death row.", "hypothesis": "They spent nineteen years on death row.", "label": "C", "metadata": {"context1": "", "context2": "The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again.", "target_sentence": "they were pardoned in 1975 After spending nine years on death row.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.84, 0.0]}}
{"uid": "37-neg-adv", "premise": "And failed. Such attachment escaped him. The sound of bickering didn't erupt from Jay's room.", "hypothesis": "There wasn't any sound from Jay's room earlier.", "label": "N", "metadata": {"context1": "And failed.", "context2": "Such attachment escaped him.", "target_sentence": "The sound of bickering didn't erupt from Jay's room.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'erupted'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [15.82, 49.4, 80.72, 97.35, 84.51]}}
{"uid": "393-neg-adv", "premise": " Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments. But after entering the University of North Carolina in 1979, he didn't begin to feel \"a general sense that there had to be more than what I could see.\"", "hypothesis": "He graduated from the University of North Carolina before 1979.", "label": "C", "metadata": {"context1": "", "context2": "Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments.", "target_sentence": "But after entering the University of North Carolina in 1979, he didn't begin to feel \"a general sense that there had to be more than what I could see.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.0, 0.0, 3.12, 0.0, 0.0]}}
{"uid": "393-adv", "premise": " Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments. But after entering the University of North Carolina in 1979, he began to feel \"a general sense that there had to be more than what I could see.\"", "hypothesis": "He graduated from the University of North Carolina before 1979.", "label": "C", "metadata": {"context1": "", "context2": "Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments.", "target_sentence": "But after entering the University of North Carolina in 1979, he began to feel \"a general sense that there had to be more than what I could see.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "414-neg-adv", "premise": "It was hard to think of Larry as being from Wyoming. He had no mystique. Sometimes in the early morning I didn't wake up to the sound of the bells on the lead horses as they came in from the open range.", "hypothesis": "The lead horses weren't awake before early morning.", "label": "N", "metadata": {"context1": "It was hard to think of Larry as being from Wyoming.", "context2": "He had no mystique.", "target_sentence": "Sometimes in the early morning I didn't wake up to the sound of the bells on the lead horses as they came in from the open range.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'woke'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [21.67, 51.05, 0.0, 58.95, 3.4]}}
{"uid": "414-adv", "premise": "It was hard to think of Larry as being from Wyoming. He had no mystique. Sometimes in the early morning I woke up to the sound of the bells on the lead horses as they came in from the open range.", "hypothesis": "The lead horses weren't awake before early morning.", "label": "N", "metadata": {"context1": "It was hard to think of Larry as being from Wyoming.", "context2": "He had no mystique.", "target_sentence": "Sometimes in the early morning I woke up to the sound of the bells on the lead horses as they came in from the open range.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'woke'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "C"], "ratings": [54.79, 40.17, 99.43, 8.4, 0.21]}}
{"uid": "421-neg-adv", "premise": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job. As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble. An assignment Mel's husband had been counting on isn't lost.", "hypothesis": "Mel had an assignment before.", "label": "N", "metadata": {"context1": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job.", "context2": "As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble.", "target_sentence": "An assignment Mel's husband had been counting on isn't lost.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "E"], "ratings": [50.75, 13.73, 2.21, 6.83, 99.28]}}
{"uid": "421-adv", "premise": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job. As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble. An assignment Mel's husband had been counting on is lost.", "hypothesis": "Mel had an assignment before.", "label": "N", "metadata": {"context1": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job.", "context2": "As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble.", "target_sentence": "An assignment Mel's husband had been counting on is lost.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [54.05, 0.0, 66.03, 32.84, 12.63]}}
{"uid": "433-neg-adv", "premise": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping. And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing. I didn't close the book and looked at her.", "hypothesis": "The book had been open by Mrs. Randolph before.", "label": "N", "metadata": {"context1": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping.", "context2": "And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing.", "target_sentence": "I didn't close the book and looked at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'close'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [2.91, 9.15, 14.55, 34.68, 5.74]}}
{"uid": "433-adv", "premise": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping. And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing. I closed the book and looked at her.", "hypothesis": "The book had been open by Mrs. Randolph before.", "label": "N", "metadata": {"context1": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping.", "context2": "And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing.", "target_sentence": "I closed the book and looked at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'close'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [2.07, 5.19, 24.15, 24.53, 49.85]}}
{"uid": "441-adv", "premise": "  The opportunities this turnaround presents have not been lost on Washington.", "hypothesis": "Washington lacked the opportunities this turnaround presents before.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "The opportunities this turnaround presents have not been lost on Washington.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [48.5, 6.02, 86.67, 94.61, 87.85]}}
{"uid": "450-neg-adv", "premise": "But that seems too strong. The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better. It deserves careful attention: it is just an image that awakens the spectator's piety ;", "hypothesis": "The spectator awakens the piety.", "label": "C", "metadata": {"context1": "But that seems too strong.", "context2": "The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better.", "target_sentence": "It deserves careful attention: it is just an image that awakens the spectator's piety ;", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.06, 0.13, 61.44, 0.88, 0.0]}}
{"uid": "450-adv", "premise": "But that seems too strong. The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better. It deserves careful attention: it is not just an image that awakens the spectator's piety ;", "hypothesis": "The spectator awakens the piety.", "label": "N", "metadata": {"context1": "But that seems too strong.", "context2": "The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better.", "target_sentence": "It deserves careful attention: it is not just an image that awakens the spectator's piety ;", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "C"], "ratings": [17.91, 100.0, 9.41, 7.99, 0.1]}}
{"uid": "465-neg-adv", "premise": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday. The U.S. Department of Agriculture didn't say tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "hypothesis": "The U.S. Department of Agriculture infected eight other farms in Minnesota.", "label": "C", "metadata": {"context1": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms", "context2": "A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday.", "target_sentence": "The U.S. Department of Agriculture didn't say tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [1.38, 0.0, 0.31, 0.81, 0.0]}}
{"uid": "465-adv", "premise": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday. The U.S. Department of Agriculture said tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "hypothesis": "The U.S. Department of Agriculture infected eight other farms in Minnesota.", "label": "C", "metadata": {"context1": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms", "context2": "A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday.", "target_sentence": "The U.S. Department of Agriculture said tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.72, 0.0, 0.21]}}
{"uid": "467-neg-adv", "premise": "Tartars and Arab clans / tribes exemplify this stage well. Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946). In the analysis of human society, it isn't the fruit-bearing that dominates.", "hypothesis": "In the analysis, human society dominates fruit bearing.", "label": "C", "metadata": {"context1": "Tartars and Arab clans / tribes exemplify this stage well.", "context2": "Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946).", "target_sentence": "In the analysis of human society, it isn't the fruit-bearing that dominates.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [1.42, 9.85, 0.0, 48.8, 0.17]}}
{"uid": "467-adv", "premise": "Tartars and Arab clans / tribes exemplify this stage well. Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946). In the analysis of human society, it is the fruit-bearing that dominates.", "hypothesis": "In the analysis, human society dominates fruit bearing.", "label": "C", "metadata": {"context1": "Tartars and Arab clans / tribes exemplify this stage well.", "context2": "Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946).", "target_sentence": "In the analysis of human society, it is the fruit-bearing that dominates.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "C", "C", "E", "C"], "ratings": [1.23, 0.0, 1.71, 98.11, 1.19]}}
{"uid": "474-neg-adv", "premise": "They won't be able to sit in circle time. They won't have any idea that the rules apply to them. it's not that kind of thing that often brings the child to first attention. GROSS", "hypothesis": "The idea often brings the child to first attention.", "label": "N", "metadata": {"context1": "They won't be able to sit in circle time.", "context2": "They won't have any idea that the rules apply to them.", "target_sentence": "it's not that kind of thing that often brings the child to first attention. GROSS", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["C", "N", "C", "N", "N"], "ratings": [1.98, 50.0, 0.0, 2.35, 2.96]}}
{"uid": "476-neg-adv", "premise": "This year, it's battery power. Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil. A new revolution is underway, and this time, it's not the fuel that's poised for a makeover.", "hypothesis": "A makeover is poised for a new revolution.", "label": "N", "metadata": {"context1": "This year, it's battery power.", "context2": "Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil.", "target_sentence": "A new revolution is underway, and this time, it's not the fuel that's poised for a makeover.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "C"], "ratings": [56.73, 70.74, 0.0, 69.24, 0.0]}}
{"uid": "476-adv", "premise": "This year, it's battery power. Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil. A new revolution is underway, and this time, it's the fuel that's poised for a makeover.", "hypothesis": "A makeover is poised for a new revolution.", "label": "N", "metadata": {"context1": "This year, it's battery power.", "context2": "Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil.", "target_sentence": "A new revolution is underway, and this time, it's the fuel that's poised for a makeover.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "N", "N", "C", "C"], "ratings": [92.56, 12.25, 35.53, 0.0, 0.0]}}
{"uid": "537-neg-adv", "premise": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions", "hypothesis": "Adolescents' condom use decisions are a consideration.", "label": "E", "metadata": {"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.", "context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.", "target_sentence": "Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'consideration'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 50.6, 100.0, 6.02, 100.0]}}
{"uid": "537-adv", "premise": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions", "hypothesis": "Adolescents' condom use decisions are a consideration.", "label": "E", "metadata": {"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.", "context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.", "target_sentence": "Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'consideration'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.16, 100.0, 100.0]}}
{"uid": "539-neg-adv", "premise": "You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes? You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs.", "hypothesis": "Previously, you did not give me the kind of cuts that you want to have in certain entitlement programs.", "label": "E", "metadata": {"context1": "You see, now you've given me", "context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?", "target_sentence": "You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [92.25, 100.0, 2.12, 95.59, 91.84]}}
{"uid": "539-adv", "premise": "You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes? You'd better start giving me the kind of cuts that I want to have in certain entitlement programs.", "hypothesis": "Previously, you did not give me the kind of cuts that you want to have in certain entitlement programs.", "label": "E", "metadata": {"context1": "You see, now you've given me", "context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?", "target_sentence": "You'd better start giving me the kind of cuts that I want to have in certain entitlement programs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 99.75, 91.68, 100.0, 100.0]}}
{"uid": "540-neg-adv", "premise": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "hypothesis": "I hadn't seen how the major themes of the book in which it appears reinforces each passage previously.", "label": "E", "metadata": {"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.", "context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.", "target_sentence": "I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [76.23, 100.0, 88.33, 74.57, 98.81]}}
{"uid": "540-adv", "premise": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "hypothesis": "I hadn't seen how the major themes of the book in which it appears reinforces each passage previously.", "label": "E", "metadata": {"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.", "context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.", "target_sentence": "I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.58, 97.09, 96.37, 100.0]}}
{"uid": "545-adv", "premise": "But by then, Drew says, there were strains in the marriage. Mr-PETERSON: Our relationship started deteriorating.", "hypothesis": "Drew wasn't deteriorating before.", "label": "N", "metadata": {"context1": "But by then, Drew says, there were strains in the marriage.", "context2": "Mr-PETERSON:", "target_sentence": "Our relationship started deteriorating.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "E"], "ratings": [69.51, 69.51, 0.91, 18.25, 99.22]}}
{"uid": "556-neg-adv", "premise": "  Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "hypothesis": "Despite the first two books and the level of cooking knowledge they represented in the past, Katzen didn't feel uncomfortable with her sales figures.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [93.91, 81.29, 99.02, 47.6, 87.27]}}
{"uid": "556-adv", "premise": "  Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "hypothesis": "Despite the first two books and the level of cooking knowledge they represented in the past, Katzen didn't feel uncomfortable with her sales figures.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [66.74, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "569-neg-adv", "premise": "voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia didn't begin writing back.", "hypothesis": "Sonia's friend didn't write back in the past.", "label": "E", "metadata": {"context1": "voice-over", "context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.", "target_sentence": "Sonia didn't begin writing back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [88.42, 100.0, 98.92, 1.63, 100.0]}}
{"uid": "569-adv", "premise": "voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia began writing back.", "hypothesis": "Sonia's friend didn't write back in the past.", "label": "N", "metadata": {"context1": "voice-over", "context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.", "target_sentence": "Sonia began writing back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [74.44, 0.66, 50.0, 93.17, 4.86]}}
{"uid": "580-neg-adv", "premise": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.  That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.", "hypothesis": "Huawei's operating margins somehow plummeted six percentage points to 12% in the first half of 2015 compared to the same period this year.", "label": "E", "metadata": {"context1": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.", "context2": "", "target_sentence": "That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': \"why Huawei 's operating margins plummeted six percentage points to 12 % the first half of this year compared to the same period in 2015\"}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
{"uid": "580-adv", "premise": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.  That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.", "hypothesis": "Huawei's operating margins somehow plummeted six percentage points to 12% in the first half of 2015 compared to the same period this year.", "label": "E", "metadata": {"context1": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.", "context2": "", "target_sentence": "That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': \"why Huawei 's operating margins plummeted six percentage points to 12 % the first half of this year compared to the same period in 2015\"}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [0.0, 100.0, 98.73, 100.0, 98.88]}}
{"uid": "588-neg-adv", "premise": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace. He didn't like it, his peek into her world; it scared the hell out of him. He knew how she did it.", "hypothesis": "She knew how he did it.", "label": "C", "metadata": {"context1": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace.", "context2": "He didn't like it, his peek into her world; it scared the hell out of him.", "target_sentence": "He knew how she did it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how she did it'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "C", "C", "N", "C"], "ratings": [99.19, 0.0, 0.0, 15.18, 1.38]}}
{"uid": "588-adv", "premise": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace. He didn't like it, his peek into her world; it scared the hell out of him. He didn't know how she did it.", "hypothesis": "She knew how he did it.", "label": "C", "metadata": {"context1": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace.", "context2": "He didn't like it, his peek into her world; it scared the hell out of him.", "target_sentence": "He didn't know how she did it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how she did it'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.0, 0.0, 50.15, 0.25, 0.0]}}
{"uid": "602-neg-adv", "premise": "None of us really knew about it until we were sitting here undressing and looked at the scoreboard. \"  Jimy Williams, who mixed and matched his relievers through the no-hitter, didn't realize what was transpiring.", "hypothesis": "Jimy Williams, who mixed and matched his relievers through the no-hitter realized it was the seventh inning.", "label": "N", "metadata": {"context1": "None of us really knew about it until we were sitting here undressing and looked at the scoreboard. \"", "context2": "", "target_sentence": "Jimy Williams, who mixed and matched his relievers through the no-hitter, didn't realize what was transpiring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'realize', 'embedded_question': 'what was transpiring until he peeked at the scoreboard in the seventh inning'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [19.99, 50.6, 39.44, 100.0, 38.56]}}
{"uid": "607-adv", "premise": " All the debate can finally be laid to rest. We know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "hypothesis": "Revenge happened to Jar Jar Binks, and he's been doing something since Return of the Jedi.", "label": "N", "metadata": {"context1": "", "context2": "All the debate can finally be laid to rest.", "target_sentence": "We know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happened to Jar Jar Binks after Revenge of the Sith'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [28.05, 37.84, 0.66, 25.43, 47.3]}}
{"uid": "615-neg-adv", "premise": " Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking. Historical records didn't report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "hypothesis": "Joachim Gans, a metallurgist, and other scientists set historical records at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "label": "C", "metadata": {"context1": "", "context2": "Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking.", "target_sentence": "Historical records didn't report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'report', 'embedded_clause': 'that Joachim Gans , a metallurgist , and other scientists set up shop at the site during the first Raleigh - sponsored expedition to the area , in 1585'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["C", "C", "C", "E", "N"], "ratings": [0.94, 0.0, 0.36, 99.16, 85.14]}}
{"uid": "615-adv", "premise": " Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking. Historical records report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "hypothesis": "Joachim Gans, a metallurgist, and other scientists set historical records at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "label": "N", "metadata": {"context1": "", "context2": "Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking.", "target_sentence": "Historical records report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'report', 'embedded_clause': 'that Joachim Gans , a metallurgist , and other scientists set up shop at the site during the first Raleigh - sponsored expedition to the area , in 1585'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [8.98, 98.33, 100.0, 3.46, 97.88]}}
{"uid": "626-neg-adv", "premise": "Sonia considers herself \" good at languages. \" She has an ear for them. In Spain people don't think Sonia is Italian.", "hypothesis": "Sonia is in Spain.", "label": "N", "metadata": {"context1": "Sonia considers herself \" good at languages.", "context2": "\" She has an ear for them.", "target_sentence": "In Spain people don't think Sonia is Italian.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'she is Italian'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [13.53, 45.36, 86.67, 52.1, 50.15]}}
{"uid": "626-adv", "premise": "Sonia considers herself \" good at languages. \" She has an ear for them. In Spain people think Sonia is Italian.", "hypothesis": "Sonia is in Spain.", "label": "N", "metadata": {"context1": "Sonia considers herself \" good at languages.", "context2": "\" She has an ear for them.", "target_sentence": "In Spain people think Sonia is Italian.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'she is Italian'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [75.6, 50.3, 50.6, 13.63, 65.04]}}
{"uid": "657-neg-adv", "premise": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good. There's nothing wrong with that. You can't avoid making him feel bad or ashamed about the behavior.", "hypothesis": "He expected you to feel bad or ashamed about the behavior.", "label": "N", "metadata": {"context1": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "context2": "There's nothing wrong with that.", "target_sentence": "You can't avoid making him feel bad or ashamed about the behavior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [78.33, 93.98, 1.67, 28.05, 46.4]}}
{"uid": "657-adv", "premise": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good. There's nothing wrong with that. You can avoid making him feel bad or ashamed about the behavior.", "hypothesis": "He expected you to feel bad or ashamed about the behavior.", "label": "N", "metadata": {"context1": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "context2": "There's nothing wrong with that.", "target_sentence": "You can avoid making him feel bad or ashamed about the behavior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [17.8, 1.67, 20.82, 82.43, 0.0]}}
{"uid": "677-neg-adv", "premise": "  Streaks: Victor Santos hasn't failed to make it out of third inning in back-to-back starts.", "hypothesis": "It made Victor Santos go out of third inning in back-to-back starts.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Streaks: Victor Santos hasn't failed to make it out of third inning in back-to-back starts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["C", "N", "N", "E", "N"], "ratings": [0.21, 83.1, 33.69, 100.0, 73.53]}}
{"uid": "677-adv", "premise": "  Streaks: Victor Santos has failed to make it out of third inning in back-to-back starts.", "hypothesis": "It made Victor Santos go out of third inning in back-to-back starts.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Streaks: Victor Santos has failed to make it out of third inning in back-to-back starts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [23.9, 0.25, 74.7, 31.87, 0.0]}}
{"uid": "682-neg-adv", "premise": " Mr. Chapin, 38, knows that many people find this kind of stuff laughable in an age of audioanimatronic theme parks. Yet he doesn't resist updating it.", "hypothesis": "Mr. Chapin's people resist updating it.", "label": "C", "metadata": {"context1": "", "context2": "Mr. Chapin, 38, knows that many people find this kind of stuff laughable in an age of audioanimatronic theme parks.", "target_sentence": "Yet he doesn't resist updating it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'resists', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [63.32, 19.05, 0.0, 0.57, 1.05]}}
{"uid": "684-neg-adv", "premise": "In the taxi on the way to Lutce, I ponder the question of pork.  When we were poor but not impoverished, A-Ma didn't dare to make pork for dinner.", "hypothesis": "Making dinner took courage for A-MA.", "label": "N", "metadata": {"context1": "In the taxi on the way to Lutce, I ponder the question of pork.", "context2": "", "target_sentence": "When we were poor but not impoverished, A-Ma didn't dare to make pork for dinner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [2.26, 100.0, 3.29, 1.19, 5.81]}}
{"uid": "686-neg-adv", "premise": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has not stayed on top of Uganda by being soft. Almost alone among African leaders, Museveni hasn't managed to secure broad international support while defying Western pressure for multi-party democracy.", "hypothesis": "Defying Western pressure for multi-party democracy takes effort for Museveni.", "label": "E", "metadata": {"context1": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "context2": "He has not stayed on top of Uganda by being soft.", "target_sentence": "Almost alone among African leaders, Museveni hasn't managed to secure broad international support while defying Western pressure for multi-party democracy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [88.42, 97.7, 96.31, 100.0, 50.0]}}
{"uid": "686-adv", "premise": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has not stayed on top of Uganda by being soft. Almost alone among African leaders, Museveni has managed to secure broad international support while defying Western pressure for multi-party democracy.", "hypothesis": "Defying Western pressure for multi-party democracy takes effort for Museveni.", "label": "N", "metadata": {"context1": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "context2": "He has not stayed on top of Uganda by being soft.", "target_sentence": "Almost alone among African leaders, Museveni has managed to secure broad international support while defying Western pressure for multi-party democracy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 83.86, 59.98, 92.4, 100.0]}}
{"uid": "696-adv", "premise": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280. In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem. Duquette declined to be interviewed.", "hypothesis": "Duquette asked Vaughn if he wants to be interviewed.", "label": "C", "metadata": {"context1": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280.", "context2": "In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem.", "target_sentence": "Duquette declined to be interviewed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.21, 0.13, 1.46, 0.57, 2.21]}}
{"uid": "7-neg-adv", "premise": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic. The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now. Jason hadn't arrived earlier this week and and been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "hypothesis": "Heather wasn't there before this week.", "label": "N", "metadata": {"context1": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic.", "context2": "The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now.", "target_sentence": "Jason hadn't arrived earlier this week and and been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [48.8, 63.03, 6.09, 0.0, 4.67]}}
{"uid": "7-adv", "premise": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic. The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now. Jason had arrived earlier this week but had been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "hypothesis": "Heather wasn't there before this week.", "label": "N", "metadata": {"context1": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic.", "context2": "The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now.", "target_sentence": "Jason had arrived earlier this week but had been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [3.75, 1.46, 38.27, 22.03, 5.53]}}
{"uid": "719-neg-adv", "premise": "The other, initiated in Uganda, is called the Kampala Process. Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer. M23 is not seen as the stumbling block to progress in both talks.", "hypothesis": "There are less than two talks.", "label": "C", "metadata": {"context1": "The other, initiated in Uganda, is called the Kampala Process.", "context2": "Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer.", "target_sentence": "M23 is not seen as the stumbling block to progress in both talks.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "719-adv", "premise": "The other, initiated in Uganda, is called the Kampala Process. Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer. M23 is seen as the stumbling block to progress in both talks.", "hypothesis": "There are less than two talks.", "label": "C", "metadata": {"context1": "The other, initiated in Uganda, is called the Kampala Process.", "context2": "Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer.", "target_sentence": "M23 is seen as the stumbling block to progress in both talks.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [4.86, 3.63, 0.0, 0.0, 1.27]}}
{"uid": "735-neg-adv", "premise": "  A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, does not urge voters to vote for both measures.", "hypothesis": "The proponents of Proposition 60 vote for state agencies.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, does not urge voters to vote for both measures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [11.86, 1.35, 14.03, 3.51, 94.12]}}
{"uid": "735-adv", "premise": "  A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, urges voters to vote for both measures.", "hypothesis": "The proponents of Proposition 60 vote for state agencies.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, urges voters to vote for both measures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [38.42, 90.06, 0.29, 22.15, 52.4]}}
{"uid": "74-neg-adv", "premise": "And again. Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other. And it wasn't his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "hypothesis": "something was placing the balls back on the same side just where he wanted them.", "label": "E", "metadata": {"context1": "And again.", "context2": "Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other.", "target_sentence": "And it wasn't his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.2, 93.98, 92.72, 99.64, 97.98]}}
{"uid": "74-adv", "premise": "And again. Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other. And it was his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "hypothesis": "something was placing the balls back on the same side just where he wanted them.", "label": "C", "metadata": {"context1": "And again.", "context2": "Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other.", "target_sentence": "And it was his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "C", "C", "C", "E"], "ratings": [100.0, 0.0, 0.0, 0.0, 99.37]}}
{"uid": "748-neg-adv", "premise": "She tells her story in a halting whisper and refuses to give her full name. But she has learned to read and write, to sew and to cut hair. She won't rejoin her family.", "hypothesis": "Her family told her the story before.", "label": "N", "metadata": {"context1": "She tells her story in a halting whisper and refuses to give her full name.", "context2": "But she has learned to read and write, to sew and to cut hair.", "target_sentence": "She won't rejoin her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rejoin'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [11.58, 4.67, 50.6, 5.32, 5.06]}}
{"uid": "748-adv", "premise": "She tells her story in a halting whisper and refuses to give her full name. But she has learned to read and write, to sew and to cut hair. She will rejoin her family.", "hypothesis": "Her family told her the story before.", "label": "C", "metadata": {"context1": "She tells her story in a halting whisper and refuses to give her full name.", "context2": "But she has learned to read and write, to sew and to cut hair.", "target_sentence": "She will rejoin her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'rejoin'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [60.56, 0.19, 0.0, 90.67, 0.0]}}
{"uid": "750-neg-adv", "premise": "A corrections company hired 140 locals to help build a large prison complex. More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs. In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, hadn't reopened.", "hypothesis": "Stitch N Print was open in 2009.", "label": "N", "metadata": {"context1": "A corrections company hired 140 locals to help build a large prison complex.", "context2": "More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs.", "target_sentence": "In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, hadn't reopened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [10.74, 100.0, 77.48, 1.5, 7.91]}}
{"uid": "8-neg-adv", "premise": "Then he remembered what had been done to Ben Zoma. And to Cadwallader. And his sympathy for the woman didn't melt away", "hypothesis": "the woman had had sympathy for him.", "label": "N", "metadata": {"context1": "Then he remembered what had been done to Ben Zoma.", "context2": "And to Cadwallader.", "target_sentence": "And his sympathy for the woman didn't melt away", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'melted'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [48.05, 19.87, 3.57, 1.31, 51.35]}}
{"uid": "8-adv", "premise": "Then he remembered what had been done to Ben Zoma. And to Cadwallader. And his sympathy for the woman melted away.", "hypothesis": "the woman had had sympathy for him.", "label": "N", "metadata": {"context1": "Then he remembered what had been done to Ben Zoma.", "context2": "And to Cadwallader.", "target_sentence": "And his sympathy for the woman melted away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'melted'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [19.17, 4.92, 96.54, 23.39, 50.6]}}
{"uid": "829-neg-adv", "premise": "When Prince came, he was at his height--PRINCE in capital letters. And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor. They didn't close off the entire second floor for Prince.", "hypothesis": "The entire second floor was accessible throughout.", "label": "E", "metadata": {"context1": "When Prince came, he was at his height--PRINCE in capital letters.", "context2": "And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor.", "target_sentence": "They didn't close off the entire second floor for Prince.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "C", "E", "E"], "ratings": [37.4, 99.71, 0.6, 91.02, 100.0]}}
{"uid": "829-adv", "premise": "When Prince came, he was at his height--PRINCE in capital letters. And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor. They closed off the entire second floor for Prince.", "hypothesis": "The entire second floor was accessible throughout.", "label": "C", "metadata": {"context1": "When Prince came, he was at his height--PRINCE in capital letters.", "context2": "And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor.", "target_sentence": "They closed off the entire second floor for Prince.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "C", "C", "C", "C"], "ratings": [99.51, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "868-neg-adv", "premise": "\" I said. I didn't think that she would refuse me. She told me that it wasn't usually the old people who recited things to them in Redtown.", "hypothesis": "Vocal people recited things to them in Redtown.", "label": "N", "metadata": {"context1": "\" I said.", "context2": "I didn't think that she would refuse me.", "target_sentence": "She told me that it wasn't usually the old people who recited things to them in Redtown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 77.48, 53.9, 34.11, 100.0]}}
{"uid": "868-adv", "premise": "\" I said. I didn't think that she would refuse me. She told me that it was usually the old people who recited things to them in Redtown.", "hypothesis": "Vocal people recited things to them in Redtown.", "label": "N", "metadata": {"context1": "\" I said.", "context2": "I didn't think that she would refuse me.", "target_sentence": "She told me that it was usually the old people who recited things to them in Redtown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [100.0, 78.33, 55.84, 50.9, 71.95]}}
{"uid": "87-neg-adv", "premise": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game. He gave Green Bay enough time to win it and the Packers nearly did. Tomlin reasoned that kicking what would have been from extra point range was not a bigger gamble on a sloppy field than running it in.", "hypothesis": "Running it in carefully on a sloppy field was a gamble.", "label": "N", "metadata": {"context1": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game.", "context2": "He gave Green Bay enough time to win it and the Packers nearly did.", "target_sentence": "Tomlin reasoned that kicking what would have been from extra point range was not a bigger gamble on a sloppy field than running it in.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'gamble'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [40.17, 67.02, 100.0, 99.75, 86.57]}}
{"uid": "87-adv", "premise": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game. He gave Green Bay enough time to win it and the Packers nearly did. Tomlin reasoned that kicking what would have been from extra point range was a bigger gamble on a sloppy field than running it in.", "hypothesis": "Running it in carefully on a sloppy field was a gamble.", "label": "N", "metadata": {"context1": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game.", "context2": "He gave Green Bay enough time to win it and the Packers nearly did.", "target_sentence": "Tomlin reasoned that kicking what would have been from extra point range was a bigger gamble on a sloppy field than running it in.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'gamble'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [95.33, 1.46, 31.31, 74.05, 68.82]}}
{"uid": "877-neg-adv", "premise": " Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent. But it isn't radical Islam that has become the lightning rod for this fury.", "hypothesis": "The far left has become the lighting rod for this fury.", "label": "N", "metadata": {"context1": "", "context2": "Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent.", "target_sentence": "But it isn't radical Islam that has become the lightning rod for this fury.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [2.91, 0.51, 35.53, 29.4, 22.52]}}
{"uid": "877-adv", "premise": " Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent. But it is radical Islam that has become the lightning rod for this fury.", "hypothesis": "The far left has become the lighting rod for this fury.", "label": "C", "metadata": {"context1": "", "context2": "Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent.", "target_sentence": "But it is radical Islam that has become the lightning rod for this fury.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 0.0, 0.0, 79.3]}}
{"uid": "881-neg-adv", "premise": "MORIARTY  Suddenly it isn't Steve who's on trial.", "hypothesis": "Naomi is on trial.", "label": "N", "metadata": {"context1": "MORIARTY", "context2": "", "target_sentence": "Suddenly it isn't Steve who's on trial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [0.05, 5.39, 50.9, 51.35, 51.2]}}
{"uid": "881-adv", "premise": "MORIARTY  Suddenly it's Steve who's on trial.", "hypothesis": "Naomi is on trial.", "label": "C", "metadata": {"context1": "MORIARTY", "context2": "", "target_sentence": "Suddenly it's Steve who's on trial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "911-neg-adv", "premise": "( n22 ) Evidently, in more than one sense the area of good governance tends to invite double standards. The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about isn't a more important indicator of good governance than having a low corruption profile.", "hypothesis": "Having a low corruption profile is an indicator of good governance only for the IMF.", "label": "C", "metadata": {"context1": "( n22 )", "context2": "Evidently, in more than one sense the area of good governance tends to invite double standards.", "target_sentence": "The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about isn't a more important indicator of good governance than having a low corruption profile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'indicator'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "C", "C", "C", "E"], "ratings": [16.9, 0.0, 0.46, 0.84, 99.77]}}
{"uid": "911-adv", "premise": "( n22 ) Evidently, in more than one sense the area of good governance tends to invite double standards. The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about is a more important indicator of good governance than having a low corruption profile.", "hypothesis": "Having a low corruption profile is an indicator of good governance only for the IMF.", "label": "C", "metadata": {"context1": "( n22 )", "context2": "Evidently, in more than one sense the area of good governance tends to invite double standards.", "target_sentence": "The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about is a more important indicator of good governance than having a low corruption profile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'indicator'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "C", "C", "C", "N"], "ratings": [99.12, 0.0, 0.0, 0.43, 80.95]}}
{"uid": "915-neg-adv", "premise": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\" The crowd cheered for all the entrants as they paraded to the gate. Yes, there was sadness over what might have been, however there is a more resilient group in the United States than New Yorkers.", "hypothesis": "New Yorkers are a fragile group in the United States.", "label": "N", "metadata": {"context1": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\"", "context2": "The crowd cheered for all the entrants as they paraded to the gate.", "target_sentence": "Yes, there was sadness over what might have been, however there is a more resilient group in the United States than New Yorkers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'resilient', 'noun': 'group'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["C", "N", "C", "N", "N"], "ratings": [0.15, 72.08, 0.6, 7.91, 43.42]}}
{"uid": "915-adv", "premise": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\" The crowd cheered for all the entrants as they paraded to the gate. Yes, there was sadness over what might have been, however there is no more resilient group in the United States than New Yorkers.", "hypothesis": "New Yorkers are a fragile group in the United States.", "label": "C", "metadata": {"context1": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\"", "context2": "The crowd cheered for all the entrants as they paraded to the gate.", "target_sentence": "Yes, there was sadness over what might have been, however there is no more resilient group in the United States than New Yorkers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'resilient', 'noun': 'group'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [54.49, 0.0, 0.0, 0.0, 0.0]}}
{"uid": "947-neg-adv", "premise": "We don't see them on the street. Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become. The same Tommy on the street isn't a different animal than the Tommy we saw here.", "hypothesis": "Tommy is a wild animal.", "label": "C", "metadata": {"context1": "We don't see them on the street.", "context2": "Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become.", "target_sentence": "The same Tommy on the street isn't a different animal than the Tommy we saw here.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'animal'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [0.66, 45.06, 0.0, 4.41, 1.27]}}
{"uid": "947-adv", "premise": "We don't see them on the street. Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become. The same Tommy on the street is a different animal than the Tommy we saw here.", "hypothesis": "Tommy is a wild animal.", "label": "N", "metadata": {"context1": "We don't see them on the street.", "context2": "Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become.", "target_sentence": "The same Tommy on the street is a different animal than the Tommy we saw here.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'animal'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [47.6, 0.09, 51.05, 1.55, 28.86]}}
{"uid": "95-neg-adv", "premise": "But will it ever? \" The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes. Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is not often a far better idea than getting back together only to disappoint the fans.", "hypothesis": "getting back together only to disappoint the fans is an idea they considered. ", "label": "N", "metadata": {"context1": "But will it ever? \"", "context2": "The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes.", "target_sentence": "Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is not often a far better idea than getting back together only to disappoint the fans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "C"], "ratings": [100.0, 7.05, 92.17, 73.14, 2.12]}}
{"uid": "95-adv", "premise": "But will it ever? \" The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes. Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is often a far better idea than getting back together only to disappoint the fans.", "hypothesis": "getting back together only to disappoint the fans is an idea they considered. ", "label": "N", "metadata": {"context1": "But will it ever? \"", "context2": "The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes.", "target_sentence": "Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is often a far better idea than getting back together only to disappoint the fans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [84.18, 79.78, 16.14, 100.0, 100.0]}}
{"uid": "956-neg-adv", "premise": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall. Smith was proud of his horticultural skills. He didn't start growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "hypothesis": "He hadn't been growing the plant before Aug 1 of this year.", "label": "C", "metadata": {"context1": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall.", "context2": "Smith was proud of his horticultural skills.", "target_sentence": "He didn't start growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.02, 0.0, 1.63, 72.48]}}
{"uid": "956-adv", "premise": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall. Smith was proud of his horticultural skills. He started growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "hypothesis": "He hadn't been growing the plant before Aug 1 of this year.", "label": "C", "metadata": {"context1": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall.", "context2": "Smith was proud of his horticultural skills.", "target_sentence": "He started growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "C", "C", "C", "N"], "ratings": [96.2, 0.0, 0.84, 0.0, 5.06]}}
{"uid": "960-neg-adv", "premise": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show. They were fine, holding hands or not. There was nothing to see; we didn't keep on driving, didn't even think about slowing down.", "hypothesis": "We previously had slowed down.", "label": "N", "metadata": {"context1": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show.", "context2": "They were fine, holding hands or not.", "target_sentence": "There was nothing to see; we didn't keep on driving, didn't even think about slowing down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [4.04, 21.42, 0.0, 83.43, 50.6]}}
{"uid": "960-adv", "premise": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show. They were fine, holding hands or not. There was nothing to see; we kept on driving, didn't even think about slowing down.", "hypothesis": "We previously had slowed down.", "label": "C", "metadata": {"context1": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show.", "context2": "They were fine, holding hands or not.", "target_sentence": "There was nothing to see; we kept on driving, didn't even think about slowing down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["C", "C", "N", "C", "N"], "ratings": [0.0, 1.46, 31.59, 1.38, 73.92]}}
{"uid": "968-neg-adv", "premise": "The Dark Knight hit that mark in just five days. But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world. People didn't keep going.", "hypothesis": "People had previously been going to see Lost.", "label": "C", "metadata": {"context1": "The Dark Knight hit that mark in just five days.", "context2": "But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world.", "target_sentence": "People didn't keep going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "C", "C", "C", "N"], "ratings": [7.6, 0.0, 0.0, 0.0, 2.65]}}
{"uid": "968-adv", "premise": "The Dark Knight hit that mark in just five days. But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world. People kept going.", "hypothesis": "People had previously been going to see Lost.", "label": "C", "metadata": {"context1": "The Dark Knight hit that mark in just five days.", "context2": "But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world.", "target_sentence": "People kept going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [2.91, 1.59, 0.0, 4.41, 0.0]}}
{"uid": "989-neg-adv", "premise": "I have a little thing for her. GOLD I don't know how you can keep the show on.", "hypothesis": "You can keep the gold in some way.", "label": "N", "metadata": {"context1": "I have a little thing for her.", "context2": "GOLD", "target_sentence": "I don't know how you can keep the show on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how you can keep the show on'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [48.2, 35.82, 15.82, 0.0, 68.96]}}
{"uid": "989-adv", "premise": "I have a little thing for her. GOLD I know how you can keep the show on.", "hypothesis": "You can keep the gold in some way.", "label": "N", "metadata": {"context1": "I have a little thing for her.", "context2": "GOLD", "target_sentence": "I know how you can keep the show on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how you can keep the show on'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [16.14, 51.05, 0.0, 33.97, 45.51]}}
{"uid": "991-neg-adv", "premise": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy. And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy. It's not the case that you just never know how they'll react.", "hypothesis": "They will react calmly.", "label": "N", "metadata": {"context1": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy.", "context2": "And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy.", "target_sentence": "It's not the case that you just never know how they'll react.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how they 'll react\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [45.81, 0.23, 50.6, 10.11, 47.9]}}
{"uid": "991-adv", "premise": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy. And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy. You just never know how they'll react.", "hypothesis": "They will react calmly.", "label": "N", "metadata": {"context1": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy.", "context2": "And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy.", "target_sentence": "You just never know how they'll react.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how they 'll react\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [45.51, 50.0, 14.34, 16.03, 27.26]}}
{"uid": "993-adv", "premise": "And, of course, at that time my dad was dying, and we had a cat who died. There was a lot of death around. And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and saw what happened.", "hypothesis": "Something left.", "label": "N", "metadata": {"context1": "And, of course, at that time my dad was dying, and we had a cat who died.", "context2": "There was a lot of death around.", "target_sentence": "And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and saw what happened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'saw', 'embedded_question': 'what happened'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [5.39, 13.23, 47.45, 100.0, 89.26]}}
{"uid": "999-neg-adv", "premise": "I felt grubby just looking at her.  I don't know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "hypothesis": "Kyle has a favorite hobby.", "label": "N", "metadata": {"context1": "I felt grubby just looking at her.", "context2": "", "target_sentence": "I don't know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what Elissa 's favorite hobby is\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [50.6, 76.86, 44.46, 72.48, 99.85]}}
{"uid": "999-adv", "premise": "I felt grubby just looking at her.  I know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "hypothesis": "Kyle has a favorite hobby.", "label": "N", "metadata": {"context1": "I felt grubby just looking at her.", "context2": "", "target_sentence": "I know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": true, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what Elissa 's favorite hobby is\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [5.19, 9.41, 35.68, 71.14, 54.64]}}