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train · 26k rows

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{"text": "i feel it so easily like that of a gentle rain that warms the earth and brings laughter and delight from all those that pause to take notice of such a blessing", "target": 3, "evaluation_predictions": [-1.8759765625, -0.3310546875, 6.1328125, -1.2880859375, -1.1474609375, -1.076171875]}
{"text": "i feel remorseful for the crimes that were committed intentionally or unintentionally and whether or not i had known about it or not known about it", "target": 4, "evaluation_predictions": [6.92578125, -1.158203125, -1.2265625, -1.228515625, -1.33203125, -1.6484375]}
{"text": "Michael Willis, 18, was in the Tavern when the bomb went off.", "label": 1}
{"text": "Criminals have been known to use drones to carry drugs and mobile phones into prisons, over borders and even across the Straits of Gibraltar from Africa to Europe.", "label": 0}
{"text": "Ex-IRA chief: Pub attacks left me ashamed and appalled...", "label": 1}
{"text": "FILE - Federal Bureau of Investigation (FBI) officials label and collect evidence near the site of an explosion which took place on Saturday night in the Chelsea neighborhood of Manhattan, New York, Sept. 18, 2016.", "label": 1}
{"text": "Nuttall and Korody were arrested on Monday, the same day that thousands attended the Canada Day celebrations at the provincial legislature in Victoria. Police said the bombs were found outside the legislature before the crowds gathered.", "label": 0}
{"text": "Two security sources, who spoke on condition of anonymity, said the explosion was caused by a homemade explosive device that was planted on the side of the road.", "label": 1}
{"text": "A week later in Paris a twenty-six pound bomb exploded in front of the rue Copernic synagogue, where hundreds of Jews were gathered for sabbath services. The bomb killed four persons and wounded thirteen; if it had gone off twenty minutes later, when services would have ended, it would have killed scores of worshipers leaving the synagogue. The act was claimed by the European National Fasces (FNE), the same group that had machine-gunned five Jewish buildings in Paris a week earlier.", "label": 1}
{"text": "July 18, 2016 - A 17-year-old Afghan refugee wielding an axe and a knife attacks passengers on a train in southern Germany, severely wounding four, before being shot dead by police.", "label": 1}
{"review": "I've seen this movie on several different occasions. I find one of the funniest things to do is to just watch the reactions of the different types of people who go to see it.<br /><br />Type 1: OLD PEOPLE. A lot of old Japanese men and women go to this movie because they think it will be a honest-to-goodness samurai movie with lots of swordplay and medieval Japanese dialogue. As soon the two protagonists begin debating horror movies while inserting expletives almost randomly throughout their sentences, the old people walk out, usually disgusted.<br /><br />Type 2: FILM SNOBS. These people think that just because a movie bears the label of \"Independent\" that it will automatically be a load of hard-to-follow, overemotional crap that may or may not be in English. Yet they see it anyway just to sing praises about it later so that people will think they are intelligent and cultured. They are really in for a surprise when they see this film. As soon as the blood begins to squirt exaggeratedly from anime-inspired sword battles or the over-the-top villain nonchalantly pegs a dog with his crossbow during a phone conversation, these people will be so dismayed, they will walk out. A few will stay just to see \"how bad it will get\" and later they'll rave about what a horrible film it was to their friends.<br /><br />Type 3: PEOPLE EXPECTING TO SEE LIVE-ACTION ANIME OR MATRIX-LIKE SPECIAL EFFECTS. Sorry folks, the martial arts are pretty solid in the film, but director Yamasato really doesn't have the budget for that kind of thing.<br /><br />Type 4: PEOPLE WITH NO EXPECTATIONS. These are the people who really enjoy the film. Whether they had only heard of Blood of the Samurai, picked it at random, or stumbled into the wrong theater in an alcoholic haze, these are the people who will laugh at all the jokes and appreciate the movie for what it ultimately is: ENTERTAINMENT. This movie was not made to enlighten or to provoke deep spiritual thought, it was meant (if I may borrow a line of dialogue from the film) to \"really kick some ass.\" And that's what it does.<br /><br />So depending on what type of person you are, you may or may not enjoy this film; however, if you appreciate the movie for what it is and can enjoy an excess of blood and acting, then go see this movie and make sure to bring your friends.", "review_length": 412}
{"review": "...would probably be the best word to describe this film (in my opinion). besides one great heck of a fan service for fan girls (well, that was redundant~), it was the story that blew me away. hurray for Takahisa Zeze and Gackt! and i know some people will disagree with me on this one, but it wasn't any of the big three actors (the guys that played Sho, son, and Kei) that gave the best performance (for me, anyway). it was Taro Yamamoto, boy #5 from battle Royale! <br /><br />don't get me wrong, i like Hyde, i worship his voice, but the problem was that some of his scenes came a little bit 'off', but i loved that scene where he danced with the dead guy's body killing the other guys. and Gackt wasn't at all that bad too, i preferred how his character was kind of aloof from the start. nothing much i can say about my background on lee-Hom Wang, i won't pretend to know him, but he carried his own weight with the star-studded cast. <br /><br />this movie paved the way for one of the best collaborations I've ever heard, Orenji No Taiyou (forgive my spelling if it's wrong). while the complete song lasts about nine minutes, you wouldn't notice the length because you'd be enjoying hearing Gackt and Hyde together. <br /><br />anyway, this movie is a must-see not only for the fans (huge fan base~) but for those who enjoy sci-fi, futuristic movies, Asian-style.", "review_length": 251}
{"review": "It's very sad that Lucian Pintilie does not stop making movies. They get worse every time. Niki and Flo (2003) is a depressing stab at the camera. It's unfortunate that from the many movies that are made yearly in Romania , the worst of them get to be sent abroad ( e.g. Chicago International Film Festival). This movie without a plot , acting or script is a waste of time and money. Score: 0.02 out of 10.", "review_length": 77}
{"review": "Oh my God what the hell happened here?!! I'm not going to say this again but what sort of backward movie is this? The dubbing in this is way worst than the dubbing in \"King Kong vs Godzilla\",Linda Miller had to be the worst actress in it and the suits are really cheesy.Its about some villain called Dr.Who who gets henchmen to build a robot gorilla that has the same strength as King Kong but when this robot breaks down he builds another one and then tries to kidnap Kong.When he does(thats when Linda Miller gets annoying)he makes Kong his slave but everything goes wrong and King Kong escapes.Then Dr.Who sends the robot after him.<br /><br />Later when I was watching the movie I got a headache when Linda Miller and the other clowns started moaning.As I sat through the misery of watching the DVD while it was playing I was hoping that the madness in the movie was going to end until the fight.The ending has to be a really bad one because they could've shown Kong back on his island fighting dinosaurs again.<br /><br />Don't watch the movie under any circumstances or if you do... beware of the disappointment you will receive.", "review_length": 204}
{"review": "This movie is pretty cheesy, but I do give it credit for at least trying to provide some characterization for it's principles. There are some great moments in the film and the dialogue has some great moments as well.<br /><br />The aerial assault sequence is perhaps the best part of the movie.<br /><br />I guess I really like the idea of what lengths a veteran will go for a fellow veteran. Sure it's not all that well done, but the premise is not at all bad.<br /><br />Tom", "review_length": 88}
{"review": "Initially I was put off renting this movie due to the jacket art for the DVD. In fact, this held true with friends of mine who didn't rent it due to the art and the mental image(s) it conjured of being a movie that held little or no interest to me (or to my friends). But, I rented and watched it and was truly amazed.<br /><br />I agree with another user's comments that this movie is not for everyone due to the blatant sexual inferences, so it is definitely not something I'd want young children to watch (and doubt seriously if they would understand it anyway).<br /><br />I enjoy movies like this whereby the character's personalities and who they are are genuinely defined in a no-nonsense, direct way with no teasers to indicate they will turn out bad. The acting done ... was it acting? Ricci and Jackson performed so well, I was drawn into this movie not even realizing they were acting. Same thing with the story ... may seem far-fetched somewhat, but it was done so very, very well. It reminded me of another movie with Mel Gibson, Tim, where each character had limitations, whether mental or circumstantial, so were well-defined.<br /><br />I found much depth in this movie with the character's involved, so feel that everyone involved (from the cameramen to the actors) should be commended on a perfect fit/result. After viewing this movie, I had talked to a couple of friends who had a negative approach to watching it like I did, so after hearing my comments, they rented and watched it. They, too, were quite surprised at how good it was. It is too bad that the art on the jacket was done the way it was since it is a turn off. I can see now how the art applies, but I'd not heard of this movie before, and the art was my first impression ... art sells or destroys DVD sales/rentals.<br /><br />These characters had more depth to them and good timing was allotted to give an audience like me time to absorb the \"feel\" for each. I felt I could trust the movie to flow well, and it did. So, with the jacket art aside, I would recommend watching this movie.", "review_length": 379}
{"review": "The novel WEAPON which serves as the basis for this atrocious piece of garbage is one of the best techno-thrillers to come down the pike in a long time.The character of SOLO, who is NOT supposed to look like a human, is a wonderful creation and it was simply awful to see him reduced to just another Terminator-clone with Mario Van Peebles horrendously trying to \"act\" like a robot. There is NOTHING worthwhile about this film.<br /><br />Why does Hollywood insist on snapping up the rights to excellent novels and then butchering them? There are so many things wrong with SOLO that listing them seems as unfair as inviting a man with no legs to a brisk game of Hopscotch. Avoid this awful film and seek out the 2 novels by ROBERT MASON that feature the awesome character of SOLO. The books are WEAPON and an excellent sequel SOLO.But don't pay any attention to this awful dreck of a film.", "review_length": 160}
{"review": "El Padrino has just been released in Europe and is really kicking ass. This film with its great cast - Damian Chapa ( Blood in Blood Out ), Robert Wager, Jennifer Tilly, Robert Wagner and many more ) - is the best gangster movie since SCARFACE. A Film that everyone MUST SEE. 2 hours full of action with fantastic unbelievable stunt !!!!<br /><br />GRACIAS JENNIFER !!!! We are eagerly waiting for part 2 !!!! Does anyone know if there will be one ? Keep up the good work !!! I loved it !!", "review_length": 93}
{"review": "In the literal sense....<br /><br />Reminds you of those \"cops-and-robber\" or cowboys-indians\" role-playing games you played with your 8 year old friends. <br /><br />Tedious and un-inspired, the storyline was obviously written to make bad acting and dialogue seem as part of the plot, but all it does is showcase it. I cant believe John Badham let his name be associated with this piece of crap. This could have been done better by a high school film buff who had been given the camera lighting, filmstock and editing<br /><br />Destined to be a time-filler on Sci-fi channel, when they've overused everything else from their library, and barely better than the paid programming shill downstream.", "review_length": 114}
{"review": "I am very surprised by the positive comments because there were four of us that saw this at one screening and we all walked out. We personally felt that it was painfully slow to watch and couldn't sit through the whole movie. And we really tried to stick with it. In particular, those in the group who really wanted to like it because of their personal experiences with sexual orientation alienation in the school years depicted didn't like or identify with it at all. :(<br /><br />That said, it is great to see that this film really resonated with a lot of people here on the boards and with reviewers. That's the beauty of the subjective art form of film. :)", "review_length": 121}
{"sentence1": "Amrozi accused his brother , whom he called \" the witness \" , of deliberately distorting his evidence .", "sentence2": "Referring to him as only \" the witness \" , Amrozi accused his brother of deliberately distorting his evidence .", "label": 1, "idx": 0}
{"sentence1": "Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion .", "sentence2": "Yucaipa bought Dominick 's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 billion in 1998 .", "label": 0, "idx": 1}
{"sentence1": "They had published an advertisement on the Internet on June 10 , offering the cargo for sale , he added .", "sentence2": "On June 10 , the ship 's owners had published an advertisement on the Internet , offering the explosives for sale .", "label": 1, "idx": 2}
{"sentence1": "Around 0335 GMT , Tab shares were up 19 cents , or 4.4 % , at A $ 4.56 , having earlier set a record high of A $ 4.57 .", "sentence2": "Tab shares jumped 20 cents , or 4.6 % , to set a record closing high at A $ 4.57 .", "label": 0, "idx": 3}
{"sentence1": "The stock rose $ 2.11 , or about 11 percent , to close Friday at $ 21.51 on the New York Stock Exchange .", "sentence2": "PG & E Corp. shares jumped $ 1.63 or 8 percent to $ 21.03 on the New York Stock Exchange on Friday .", "label": 1, "idx": 4}
{"sentence1": "Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier .", "sentence2": "With the scandal hanging over Stewart 's company , revenue the first quarter of the year dropped 15 percent from the same period a year earlier .", "label": 1, "idx": 5}
{"sentence1": "The Nasdaq had a weekly gain of 17.27 , or 1.2 percent , closing at 1,520.15 on Friday .", "sentence2": "The tech-laced Nasdaq Composite .IXIC rallied 30.46 points , or 2.04 percent , to 1,520.15 .", "label": 0, "idx": 6}
{"sentence1": "The DVD-CCA then appealed to the state Supreme Court .", "sentence2": "The DVD CCA appealed that decision to the U.S. Supreme Court .", "label": 1, "idx": 7}
{"sentence1": "That compared with $ 35.18 million , or 24 cents per share , in the year-ago period .", "sentence2": "Earnings were affected by a non-recurring $ 8 million tax benefit in the year-ago period .", "label": 0, "idx": 8}
{"sentence1": "Shares of Genentech , a much larger company with several products on the market , rose more than 2 percent .", "sentence2": "Shares of Xoma fell 16 percent in early trade , while shares of Genentech , a much larger company with several products on the market , were up 2 percent .", "label": 0, "idx": 10}
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There is good evidence that re-introduction of probiotic flora, such as pure cultures of the lactobacilli normally found in unpasteurized yogurt, helps restore a healthy balance of microbial populations in intestinal infections in children and encouraging preliminary data in studies on bacterial gastroenteritis, inflammatory bowel diseases, urinary tract infection and post-surgical infections.", "question": "What serves as a biological barrier by competing for space and food in the GI tract?", "answers.text": ["commensal flora", "commensal flora", "commensal flora"], "answers.answer_start": [54, 54, 54], "feat_id": ["5728fd206aef05140015494c", "5728fd206aef05140015494c", "5728fd206aef05140015494c"], "feat_title": ["Immune_system", "Immune_system", "Immune_system"], "start_logits": [2.9921875, -8.0390625, -9.6328125, -9.7578125, -9.6796875, -9.40625, -9.796875, -9.671875, -9.65625, -9.578125, -9.609375, -9.5703125, -9.5546875, -9.53125, -9.546875, -9.234375, -9.7265625, -9.46875, 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{"context": "Loudoun, a capable administrator but a cautious field commander, planned one major operation for 1757: an attack on New France's capital, Quebec. Leaving a sizable force at Fort William Henry to distract Montcalm, he began organizing for the expedition to Quebec. He was then ordered by William Pitt, the Secretary of State responsible for the colonies, to attack Louisbourg first. Beset by delays of all kinds, the expedition was finally ready to sail from Halifax, Nova Scotia in early August. In the meantime French ships had escaped the British blockade of the French coast, and a fleet outnumbering the British one awaited Loudoun at Louisbourg. Faced with this strength, Loudoun returned to New York amid news that a massacre had occurred at Fort William Henry.", "question": "Given the strength of French forces at Louisbourg, what did Loudoun do?", "answers.text": ["returned to New York", "returned to New York", "returned to New York", "returned to New York amid news that a massacre had occurred at Fort William Henry.", "returned to New York"], "answers.answer_start": [685, 685, 685, 685, 685], "feat_id": ["5733fe73d058e614000b6740", "5733fe73d058e614000b6740", "5733fe73d058e614000b6740", "5733fe73d058e614000b6740", "5733fe73d058e614000b6740"], "feat_title": ["French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War"], "start_logits": [-0.295166015625, -8.1484375, -8.5390625, -7.57421875, -9.3125, -8.1328125, -9.1953125, -9.0, -7.8828125, -9.4921875, -9.484375, -8.7109375, -9.03125, -7.6171875, -9.4921875, -9.078125, -9.5234375, -9.4765625, -9.3203125, 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As of 2012[update], Harvard University had a total financial aid reserve of $159 million for students, and a Pell Grant reserve of $4.093 million available for disbursement.", "question": "What amount did Harvard cut from their 2012 financial aid reserve?", "answers.text": [""], "answers.answer_start": [-1], "feat_id": ["5a8224ea31013a001a33524d"], "feat_title": ["Harvard_University"], "start_logits": [3.060546875, -9.15625, -9.2890625, -9.2578125, -9.1015625, -9.0546875, -8.9921875, -9.1640625, -8.7578125, -8.828125, -9.390625, -9.359375, -9.734375, -9.4296875, -9.5546875, -7.2421875, -8.90625, -9.03125, -8.609375, -8.5234375, -8.7734375, -8.2890625, -9.3046875, -9.0859375, -8.9375, -9.3125, -9.921875, -7.64453125, -8.984375, -7.71484375, -7.76953125, -8.8359375, -9.015625, -9.546875, -8.5, -9.0859375, -8.390625, -8.953125, -8.875, -8.6875, -9.3828125, -9.1171875, -8.65625, -7.515625, -8.984375, -8.375, -7.953125, -8.9765625, -8.2265625, -6.11328125, -6.98046875, -8.8828125, -8.84375, 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{"context": "Inflammation is one of the first responses of the immune system to infection. The symptoms of inflammation are redness, swelling, heat, and pain, which are caused by increased blood flow into tissue. Inflammation is produced by eicosanoids and cytokines, which are released by injured or infected cells. Eicosanoids include prostaglandins that produce fever and the dilation of blood vessels associated with inflammation, and leukotrienes that attract certain white blood cells (leukocytes). Common cytokines include interleukins that are responsible for communication between white blood cells; chemokines that promote chemotaxis; and interferons that have anti-viral effects, such as shutting down protein synthesis in the host cell. Growth factors and cytotoxic factors may also be released. These cytokines and other chemicals recruit immune cells to the site of infection and promote healing of any damaged tissue following the removal of pathogens.", "question": "What cytokines are responsible for communication between white blood cells?", "answers.text": ["interleukins", "interleukins", "interleukins"], "answers.answer_start": [517, 517, 517], "feat_id": ["572900f73f37b31900477f6d", "572900f73f37b31900477f6d", "572900f73f37b31900477f6d"], "feat_title": ["Immune_system", "Immune_system", "Immune_system"], "start_logits": [2.212890625, -8.7890625, -7.83984375, -9.8828125, -9.65625, -9.6328125, -9.6640625, -9.6640625, -9.6171875, -9.5078125, -9.6875, -9.9296875, -9.7890625, -9.5625, -9.765625, -7.21875, -8.46875, -9.671875, -9.546875, -9.1640625, -9.375, -9.421875, -9.0390625, -9.140625, -9.390625, -8.9140625, -7.70703125, -9.6953125, -9.3671875, -7.9296875, -7.33203125, -9.1484375, -9.0390625, -9.515625, -8.5234375, -9.625, -8.6875, -9.8359375, -9.6171875, -9.25, -9.671875, 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{"context": "In 1749 the British government gave land to the Ohio Company of Virginia for the purpose of developing trade and settlements in the Ohio Country. The grant required that it settle 100 families in the territory, and construct a fort for their protection. But, as the territory was also claimed by Pennsylvania, both colonies began pushing for action to improve their respective claims. In 1750 Christopher Gist, acting on behalf of both Virginia and the company, explored the Ohio territory and opened negotiations with the Indian tribes at Logstown. He completed the 1752 Treaty of Logstown in which the local Indians, through their \"Half-King\" Tanacharison and an Iroquois representative, agreed to terms that included permission to build a \"strong house\" at the mouth of the Monongahela River (the site of present-day Pittsburgh, Pennsylvania). By the late 17th century, the Iroquois had pushed many tribes out of the Ohio Valley, and kept it as hunting ground by right of conquest.", "question": "When did British government give land for development of Ohio Country?", "answers.text": ["1749", "1749", "1749", "1749", "1749"], "answers.answer_start": [3, 3, 3, 3, 3], "feat_id": ["5733e5a14776f4190066145b", "5733e5a14776f4190066145b", "5733e5a14776f4190066145b", "5733e5a14776f4190066145b", "5733e5a14776f4190066145b"], "feat_title": ["French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War", "French_and_Indian_War"], "start_logits": [1.94921875, -9.125, -9.5078125, -9.3828125, -9.65625, -9.328125, -9.5234375, -9.5234375, -9.5, -9.5546875, -9.2421875, -9.7109375, -9.703125, -9.734375, -9.5703125, 2.951171875, 6.80078125, 0.291259765625, -2.91015625, -2.1328125, -5.0625, -4.7109375, -4.5625, -5.89453125, -4.74609375, -3.912109375, -5.7890625, -8.3203125, -5.09375, -7.38671875, -7.96875, 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{"translation": {"en": "3 Enjoy a delicious buffet dinner and dance late into the night among zombies, skeletons and pumpkins", "it": "3 Per gustare una sfiziosa cena a buffet e ballare fino a tarda notte tra zombi, scheletri e zucche"}}
{"translation": {"en": "It is not for humans in general.", "it": "E non gli esseri umani in generale."}}
{"translation": {"en": "Did you know there are apps to remind you to take naps?", "it": "Lo sapevi che esistono delle app che ti ricordano di bere?"}}
{"docid": "2", "text": "God at Sinai granted Aaron the priesthood for himself and his male descendants, and he became the first High Priest of the Israelites. Aaron died before the Israelites crossed the North Jordan river and he was buried on Mount Hor (Numbers 33:39; Deuteronomy 10:6 says he died and was buried at Moserah). Aaron is also mentioned in the New Testament of the Bible. According to the Book of Exodus, Aaron first functioned as Moses' assistant. Because Moses complained that he could not speak well, God appointed Aaron as Moses' \"prophet\" (Exodus 4:10-17; 7:1). At the command of Moses, he let", "title": "Aaron"}
{"docid": "3", "text": "his rod turn into a snake. Then he stretched out his rod in order to bring on the first three plagues. After that, Moses tended to act and speak for himself. During the journey in the wilderness, Aaron was not always prominent or active. At the battle with Amalek, he was chosen with Hur to support the hand of Moses that held the \"rod of God\". When the revelation was given to Moses at biblical Mount Sinai, he headed the elders of Israel who accompanied Moses on the way to the summit. While Joshua went with Moses to the top,", "title": "Aaron"}
{"docid": "4", "text": "however, Aaron and Hur remained below to look after the people. From here on in Exodus, Leviticus and Numbers, Joshua appears in the role of Moses' assistant while Aaron functions instead as the first high priest. The books of Exodus, Leviticus and Numbers maintain that Aaron received from God a monopoly over the priesthood for himself and his male descendants (Exodus 28:1). The family of Aaron had the exclusive right and responsibility to make offerings on the altar to Yahweh. The rest of his tribe, the Levites, were given subordinate responsibilities within the sanctuary (Numbers 3). Moses anointed and consecrated", "title": "Aaron"}
{"docid": "5", "text": "Aaron and his sons to the priesthood, and arrayed them in the robes of office (Leviticus 8; cf. Exodus 28-29). He also related to them God's detailed instructions for performing their duties while the rest of the Israelites listened (Leviticus 1-7, 11-27). Aaron and his successors as high priest were given control over the Urim and Thummim by which the will of God could be determined (Exodus 28:30). God commissioned the Aaronide priests to distinguish the holy from the common and the clean from the unclean, and to teach the divine laws (the Torah) to the Israelites (Leviticus 10:10-11). The", "title": "Aaron"}
{"docid": "6", "text": "priests were also commissioned to bless the people (Numbers 6:22-27). When Aaron completed the altar offerings for the first time and, with Moses, \"blessed the people: and the glory of the appeared unto all the people: And there came a fire out from before the , and consumed upon the altar the burnt offering and the fat [which] when all the people saw, they shouted, and fell on their faces\" (Leviticus 9:23-24). In this way, the institution of the Aaronide priesthood was established. In later books of the Hebrew Bible, Aaron and his kin are not mentioned very often except", "title": "Aaron"}
{"docid": "7", "text": "in literature dating to the Babylonian captivity and later. The books of Judges, Samuel and Kings mention priests and Levites, but do not mention the Aaronides in particular. The Book of Ezekiel, which devotes much attention to priestly matters, calls the priestly upper class the Zadokites after one of King David's priests. It does reflect a two-tier priesthood with the Levites in subordinate position. A two-tier hierarchy of Aaronides and Levites appears in Ezra, Nehemiah and Chronicles. As a result, many historians think that Aaronide families did not control the priesthood in pre-exilic Israel. What is clear is that high", "title": "Aaron"}
{"docid": "8", "text": "priests claiming Aaronide descent dominated the Second Temple period. Most scholars think the Torah reached its final form early in this period, which may account for Aaron's prominence in Exodus, Leviticus and Numbers. Aaron plays a leading role in several stories of conflicts during Israel's wilderness wanderings. During the prolonged absence of Moses on Mount Sinai, the people provoked Aaron to make a golden calf. (Exodus 32:1-6). This incident nearly caused God to destroy the Israelites (Exodus 32:10). Moses successfully intervened, but then led the loyal Levites in executing many of the culprits; a plague afflicted those who were left", "title": "Aaron"}
{"docid": "9", "text": "(Exodus 32:25-35). Aaron, however, escaped punishment for his role in the affair, because of the intercession of Moses according to Deuteronomy 9:20. Later retellings of this story almost always excuse Aaron for his role. For example, in rabbinic sources and in the Quran, Aaron was not the idol-maker and upon Moses' return begged his pardon because he felt mortally threatened by the Israelites (Quran 7:142-152). On the day of Aaron's consecration, his oldest sons, Nadab and Abihu, were burned up by divine fire because they offered \"strange\" incense (Leviticus 10:1-3). Most interpreters think this story reflects a conflict between priestly", "title": "Aaron"}
{"docid": "10", "text": "families some time in Israel's past. Others argue that the story simply shows what can happen if the priests do not follow God's instructions given through Moses. The Torah generally depicts the siblings, Moses, Aaron, and Miriam, as the leaders of Israel after the Exodus, a view also reflected in the biblical Book of Micah. Numbers 12, however, reports that on one occasion, Aaron and Miriam complained about Moses' exclusive claim to be the 's prophet. Their presumption was rebuffed by God who affirmed Moses' uniqueness as the one with whom the spoke face to face. Miriam was punished with", "title": "Aaron"}
{"text": "Remember when Hell had frozen over?\nThe cold still burns underneath my skin\nThe water is rising all around me\nAnd there is nothing left I can give\nAll these tears Ive shed\nI saw the wildfire spread\nYou said you cheated death\nBut Heaven was in my head\nThey say the good die young\nNo use in saying what is done is done cause its not enough\nAnd when the night gives way\nIts like a brand new doomsday\nWhat will be will be\nEvery river flows into the sea, but its never enough\nAnd when the night gives way\nIts like a brand new doomsday\nNo matter what they say\nIts like a brand new doomsday\nThe embers still glow when Im sober\nThe gold in the flame burns brighter now\nI have to rebuild, now its over\nMaybe now Im lost, I can live\nSouls dont break, they bend\nBut I sometimes forget\nI have to do this for you\nAnd the only way out is through\nYeah, death is an open door\nWords the prophets said\nStill swimming through my head\nNow theres no stars left in the sky\nCause this well will never run dry\nWhat if I completely forget?\nWhat if I never accept?\nCause when you fade away\nIts like a brand new doomsday\nYeah\nThey say the good die young\nNo use in saying what is done is done cause its not enough\nAnd when the night gives way\nIts like a brand new doomsday\nWhat will be will be\nEvery river flows into the sea, but its never enough\nAnd when the night gives way\nIts like a brand new doomsday\nNo matter what they say\nIts like a brand new doomsday"}
{"text": "Now the oceans have drained out\nCan I come up for air?\nCause Ive been learning to live without\nAnd Im fighting with broken bones\nI wasnt ready for the rapture, were only passing through\nBut these words, they mean nothing to me\nI know that time will mend this fracture, Ive been lost in a maze\nAnd every route I take, leads right back to you\nNow the oceans have drained out\nCan I come up for air?\nCause Ive been learning to live without\nAnd Im fighting with broken bones\nNow the skies have been blacked out\nIve got to find my way\nCause its been raining but theres a drought\nAnd Im fighting with broken bones\nIve been searching through the wreckage\nBut its like standing in the eye of a storm\nWhen will I finally get the message?\nSome things are broken beyond repair\nThis is my cross to bear\nMy own meaningless catastrophe\nI never had the time to prepare\nBecause I never knew that all my nightmares could come true\nNow the oceans have drained out\nCan I come up for air?\nCause Ive been learning to live without\nAnd Im fighting with broken bones\nNow the skies have been blacked out\nIve got to find my way\nCause its been raining but theres a drought\nAnd Im fighting with broken bones\nIve spent my fair share\nIn the deepest depths of despair\nCause I was too lost down there to care\nI wasnt braced for the fallout\nI wasnt braced for the fallout\nIve been searching through the wreckage\nBut its like standing in the eye of a storm\nWhen will I finally get the message?\nSome things are broken beyond repair\nNow the oceans have drained out\nCan I come up for air?\nCause Ive been learning to live without\nAnd Im fighting with broken bones\nNow the skies have been blacked out\nIve got to find my way\nCause its been raining but theres a drought\nAnd Im fighting with broken bones"}
{"text": "The weight of the world is resting on thin ice\nWhen the surface breaks, will I find paradise?\nAs I freeze to death, left to reflect\nWhat a waste of time I was in retrospect\nId take a leap of faith, but Id lose my nerve\nIn the end, Ill get the hell that I deserve\nIm always gone with the wind\nCrawling in and out of my mind\nGod knows I lost all my faith\nA sickness with no remedy\nExcept the ones inside of me\nYou ever wonder how deep you could sink into nothing at all?\nDisintegrate, annihilate me\nDo you remember when you said to me: My friend, hope is a prison?\nHope is a prison\nOf all the patterns that I could create\nI built a labyrinth with no escape\nTo keep myself under lock and key\nI am my own worst enemy\nId take a leap of faith, but Id lose my nerve\nIn the end, Ill get the hell that I deserve\nIm always gone with the wind\nCrawling in and out of my mind\nGod knows I lost all my faith\nA sickness with no remedy\nExcept the ones inside of me\nYou ever wonder how deep you could sink into nothing at all?\nDisintegrate, annihilate me\nA sickness with no remedy\nExcept the ones inside of me\nYou ever wonder how deep you could sink into nothing at all?\nDisintegrate, annihilate me\nIf I could silence all the doubt in me\nAccept that what is meant to be \nYou ever wonder how deep you could sink into nothing at all?\nDisintegrate, annihilate me\nI remember when you said to me: My friend, hope is a prison"}
{"text": "We are beggars, we are so fucking weak\nAnd once upon a time, we had the world at our feet\nWell, were all dying to meet our maker\nBut all our gods have abandoned us\nAll our gods have abandoned us\nThis is the great esoteric depression\nWe sold our souls, but couldnt buy salvation\nWe are all the shades of misery\nThe reigning champions of tragedy\nThey use their faith as a weapon, they count our sins by the seven\nBlackwater at the gates of heaven\nAll hail the corporatocracy\nThe word of God written in binary\nAll hail our apostasy\nThe dying notes in an unholy symphony\nAll our gods have abandoned us\nThis is the great esoteric depression\nWe sold our souls, but couldnt buy salvation\nI found God clutching a razor blade\nHe said: Look at the fucking mess theyve made\nTheyd trade their hearts if they were made of gold\nWe are beggars, we are so fucking weak\nAnd once upon a time, we had the world at our feet\nWell, were all dying to meet our maker\nBut all our gods have abandoned us\nAll our gods have abandoned us\nAll our gods have abandoned us\nI found God clutching a razor blade\nHe said: Look at the fucking mess theyve made\nTheyd trade their hearts if they were made of gold\nBut theyre as worthless as the souls they sold"}
{"text": "Seven billion hungry ghosts\nJust a parasite killing its host\nThe emperor wears no clothes, I see those brittle bones\nBut were buried by modern misery\nModern misery\nTheres not enough water in the world\nTo wash the blood from our hands\nWe planted a seed, its roots will suffocate the soul\nIt grows without light and feeds from our bones\nHell must be empty, all the devils are here\nSinging us the Lords Prayer; finally, something that we all share\nI wont go to the grave with the song still in me\nWhat are we hiding in the rain?\nThis is a prison for lost souls\nAnother life circles the drain\nWe used to run with the wolves\nNow we cant see the forest\nCause theres no light in the black hole\nDont try and tell me we are blessed\nWe used to run with the wolves\nAre these our new messiahs?\nCause the saviour has a gun to my head\nDont be fooled by Maya, the kings are all thieves\nAnd the serpents will bite as they please\nHow has it come to this?\nI wont go to the grave with the song still in me\nAnd I wont live like a slave begging from my knees\nWhat are we hiding in the rain?\nThis is a prison for lost souls\nAnother life circles the drain\nWe used to run with the wolves\nNow we cant see the forest\nCause theres no light in the black hole\nDont try and tell me we are blessed\nWe used to run with the wolves\nSeven billion hungry ghosts\nJust a parasite killing its host\nThe emperor wears no clothes, I see those brittle bones\nBut were buried by modern misery\nModern misery\nI wont live like a slave, I wont beg from my knees\nI will not go to the grave with the song still in me\nWe used to run with the wolves\nWe used to run with the wolves\nWe used to run with the wolves\nWe used to run with the wolves"}
{"Question-ID": "FreebaseQA-train-0", "RawQuestion": "What was Pierce Brosnan's first outing as 007?", "ProcessedQuestion": "what was pierce brosnan's first outing as 007", "Parses": {"Parse-Id": ["FreebaseQA-train-0.P0", "FreebaseQA-train-0.P1"], "PotentialTopicEntityMention": ["007", "pierce brosnan"], "TopicEntityName": ["james bond", "pierce brosnan"], "TopicEntityMid": ["m.0clpml", "m.018p4y"], "InferentialChain": ["film.film_character.portrayed_in_films..film.performance.film", "film.actor.film..film.performance.film"], "Answers": [{"AnswersMid": ["m.01npcx"], "AnswersName": [["goldeneye"]]}, {"AnswersMid": ["m.01npcx"], "AnswersName": [["goldeneye"]]}]}}
{"Question-ID": "FreebaseQA-train-1", "RawQuestion": "The 02 Arena is in which London borough?", "ProcessedQuestion": "the 02 arena is in which london borough", "Parses": {"Parse-Id": ["FreebaseQA-train-1.P0"], "PotentialTopicEntityMention": ["02 arena"], "TopicEntityName": ["the o2 arena"], "TopicEntityMid": ["m.09xfv"], "InferentialChain": ["location.location.containedby"], "Answers": [{"AnswersMid": ["m.0nqv1"], "AnswersName": [["greenwich"]]}]}}
{"Question-ID": "FreebaseQA-train-2", "RawQuestion": "Who wrote the 1956 novel '101 Dalmatians'?", "ProcessedQuestion": "who wrote the 1956 novel '101 dalmatians'", "Parses": {"Parse-Id": ["FreebaseQA-train-2.P0", "FreebaseQA-train-2.P1"], "PotentialTopicEntityMention": ["101 dalmatians", "101 dalmatians"], "TopicEntityName": ["101 dalmatians", "101 dalmatians"], "TopicEntityMid": ["m.018gq3", "m.09g8x28"], "InferentialChain": ["film.film.story_by", "book.written_work.author"], "Answers": [{"AnswersMid": ["m.018k1r"], "AnswersName": [["dodie smith"]]}, {"AnswersMid": ["m.018k1r"], "AnswersName": [["dodie smith"]]}]}}
{"Question-ID": "FreebaseQA-train-3", "RawQuestion": "Which band's first top ten single was the 10538 Overture in 1972?", "ProcessedQuestion": "which band's first top ten single was the 10538 overture in 1972", "Parses": {"Parse-Id": ["FreebaseQA-train-3.P0", "FreebaseQA-train-3.P1", "FreebaseQA-train-3.P2"], "PotentialTopicEntityMention": ["10538 overture", "10538 overture", "10538 overture"], "TopicEntityName": ["10538 overture", "10538 overture", "10538 overture"], "TopicEntityMid": ["m.013bsxr", "m.0rqn80n", "m.0v9tgx3"], "InferentialChain": ["music.recording.artist", "music.release_track.release", "music.album.artist"], "Answers": [{"AnswersMid": ["m.02vgh"], "AnswersName": [["electric light orchestra"]]}, {"AnswersMid": ["m.0nsm8rp"], "AnswersName": [["electric light orchestra"]]}, {"AnswersMid": ["m.02vgh"], "AnswersName": [["electric light orchestra"]]}]}}
{"Question-ID": "FreebaseQA-train-4", "RawQuestion": "The 1999 film 10 Things I Hate About You is based on which Shakespeare play?", "ProcessedQuestion": "the 1999 film 10 things i hate about you is based on which shakespeare play", "Parses": {"Parse-Id": ["FreebaseQA-train-4.P0", "FreebaseQA-train-4.P1", "FreebaseQA-train-4.P2"], "PotentialTopicEntityMention": ["10 things i hate about you", "shakespeare", "shakespeare"], "TopicEntityName": ["10 things i hate about you", "william shakespeare", "william shakespeare"], "TopicEntityMid": ["m.023m3f", "m.081k8", "m.081k8"], "InferentialChain": ["media_common.adaptation.adapted_from", "film.film_story_contributor.film_story_credits", "theater.theatrical_lyricist.play_lyrics_written"], "Answers": [{"AnswersMid": ["m.0gxwz"], "AnswersName": [["the taming of the shrew"]]}, {"AnswersMid": ["m.027yntx"], "AnswersName": [["the taming of the shrew"]]}, {"AnswersMid": ["m.0gxwz"], "AnswersName": [["the taming of the shrew"]]}]}}
{"Question-ID": "FreebaseQA-train-5", "RawQuestion": "The film `10 things I hate about you` is based on which Shakespeare play?", "ProcessedQuestion": "the film `10 things i hate about you` is based on which shakespeare play", "Parses": {"Parse-Id": ["FreebaseQA-train-5.P0"], "PotentialTopicEntityMention": ["10 things i hate about you"], "TopicEntityName": ["10 things i hate about you"], "TopicEntityMid": ["m.023m3f"], "InferentialChain": ["media_common.adaptation.adapted_from"], "Answers": [{"AnswersMid": ["m.0gxwz"], "AnswersName": [["the taming of the shrew"]]}]}}
{"Question-ID": "FreebaseQA-train-6", "RawQuestion": "The film '10 things I hate about you', was inspired by which of Shakespeare's plays?", "ProcessedQuestion": "the film '10 things i hate about you', was inspired by which of shakespeare's plays", "Parses": {"Parse-Id": ["FreebaseQA-train-6.P0"], "PotentialTopicEntityMention": ["10 things i hate about you"], "TopicEntityName": ["10 things i hate about you"], "TopicEntityMid": ["m.023m3f"], "InferentialChain": ["media_common.adaptation.adapted_from"], "Answers": [{"AnswersMid": ["m.0gxwz"], "AnswersName": [["the taming of the shrew"]]}]}}
{"Question-ID": "FreebaseQA-train-7", "RawQuestion": "Who directed the 2010 film 127 Hours?", "ProcessedQuestion": "who directed the 2010 film 127 hours", "Parses": {"Parse-Id": ["FreebaseQA-train-7.P0", "FreebaseQA-train-7.P1"], "PotentialTopicEntityMention": ["127 hours", "127 hours"], "TopicEntityName": ["127 hours", "127 hours"], "TopicEntityMid": ["m.09gb_4p", "m.09gb_4p"], "InferentialChain": ["film.film.directed_by", "film.film.produced_by"], "Answers": [{"AnswersMid": ["m.0qf43"], "AnswersName": [["danny boyle"]]}, {"AnswersMid": ["m.0qf43"], "AnswersName": [["danny boyle"]]}]}}
{"Question-ID": "FreebaseQA-train-8", "RawQuestion": "Ciara had a hit with 1,2 Step featuring which other artist?", "ProcessedQuestion": "ciara had a hit with 1,2 step featuring which other artist", "Parses": {"Parse-Id": ["FreebaseQA-train-8.P0", "FreebaseQA-train-8.P1", "FreebaseQA-train-8.P2", "FreebaseQA-train-8.P3", "FreebaseQA-train-8.P4", "FreebaseQA-train-8.P5"], "PotentialTopicEntityMention": ["1,2 step", "1,2 step", "1,2 step", "1,2 step", "1,2 step", "1,2 step"], "TopicEntityName": ["1, 2 step", "1, 2 step", "1, 2 step", "1, 2 step", "1, 2 step", "1, 2 step"], "TopicEntityMid": ["m.01qz7zq", "m.01qz7zq", "m.05ypvl", "m.0n1xn79", "m.0yyd00", "m.0yyd00"], "InferentialChain": ["music.album.contributor..music.recording_contribution.contributor", "music.album.featured_artists", "music.composition.composer", "music.music_video.artist", "music.recording.artist", "music.recording.featured_artists"], "Answers": [{"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}, {"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}, {"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}, {"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}, {"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}, {"AnswersMid": ["m.018n6m"], "AnswersName": [["missy elliot"]]}]}}
{"Question-ID": "FreebaseQA-train-9", "RawQuestion": "Which film director won the Oscar for Best Picture for the film 12 Years a Slave in 2013?", "ProcessedQuestion": "which film director won the oscar for best picture for the film 12 years a slave in 2013", "Parses": {"Parse-Id": ["FreebaseQA-train-9.P0", "FreebaseQA-train-9.P1", "FreebaseQA-train-9.P2", "FreebaseQA-train-9.P3"], "PotentialTopicEntityMention": ["12 years a slave", "12 years a slave", "12 years a slave", "best picture"], "TopicEntityName": ["12 years a slave", "12 years a slave", "12 years a slave", "academy award for best picture"], "TopicEntityMid": ["m.0h32y7j", "m.0h32y7j", "m.0h32y7j", "m.0gq9h"], "InferentialChain": ["award.award_nominated_work.award_nominations..award.award_nomination.award_nominee", "award.award_winning_work.awards_won..award.award_honor.award_winner", "film.film.directed_by", "award.award_category.winners..award.award_honor.award_winner"], "Answers": [{"AnswersMid": ["m.01c0v6"], "AnswersName": [["steve mcqueen"]]}, {"AnswersMid": ["m.01c0v6"], "AnswersName": [["steve mcqueen"]]}, {"AnswersMid": ["m.01c0v6"], "AnswersName": [["steve mcqueen"]]}, {"AnswersMid": ["m.01c0v6"], "AnswersName": [["steve mcqueen"]]}]}}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "svm.py", "language": "python", "identifier": "toPyModel", "parameters": "(model_ptr)", "argument_list": "", "return_statement": "return m", "docstring": "toPyModel(model_ptr) -> svm_model\n\n\tConvert a ctypes POINTER(svm_model) to a Python svm_model", "docstring_summary": "toPyModel(model_ptr) -> svm_model", "docstring_tokens": ["toPyModel", "(", "model_ptr", ")", "-", ">", "svm_model"], "function": "def toPyModel(model_ptr):\n\t\"\"\"\n\ttoPyModel(model_ptr) -> svm_model\n\n\tConvert a ctypes POINTER(svm_model) to a Python svm_model\n\t\"\"\"\n\tif bool(model_ptr) == False:\n\t\traise ValueError(\"Null pointer\")\n\tm = model_ptr.contents\n\tm.__createfrom__ = 'C'\n\treturn m", "function_tokens": ["def", "toPyModel", "(", "model_ptr", ")", ":", "if", "bool", "(", "model_ptr", ")", "==", "False", ":", "raise", "ValueError", "(", "\"Null pointer\"", ")", "m", "=", "model_ptr", ".", "contents", "m", ".", "__createfrom__", "=", "'C'", "return", "m"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/svm.py#L293-L303"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "svmutil.py", "language": "python", "identifier": "svm_read_problem", "parameters": "(data_file_name)", "argument_list": "", "return_statement": "return (prob_y, prob_x)", "docstring": "svm_read_problem(data_file_name) -> [y, x]\n\n\tRead LIBSVM-format data from data_file_name and return labels y\n\tand data instances x.", "docstring_summary": "svm_read_problem(data_file_name) -> [y, x]", "docstring_tokens": ["svm_read_problem", "(", "data_file_name", ")", "-", ">", "[", "y", "x", "]"], "function": "def svm_read_problem(data_file_name):\n\t\"\"\"\n\tsvm_read_problem(data_file_name) -> [y, x]\n\n\tRead LIBSVM-format data from data_file_name and return labels y\n\tand data instances x.\n\t\"\"\"\n\tprob_y = []\n\tprob_x = []\n\tfor line in open(data_file_name):\n\t\tline = line.split(None, 1)\n\t\t# In case an instance with all zero features\n\t\tif len(line) == 1: line += ['']\n\t\tlabel, features = line\n\t\txi = {}\n\t\tfor e in features.split():\n\t\t\tind, val = e.split(\":\")\n\t\t\txi[int(ind)] = float(val)\n\t\tprob_y += [float(label)]\n\t\tprob_x += [xi]\n\treturn (prob_y, prob_x)", "function_tokens": ["def", "svm_read_problem", "(", "data_file_name", ")", ":", "prob_y", "=", "[", "]", "prob_x", "=", "[", "]", "for", "line", "in", "open", "(", "data_file_name", ")", ":", "line", "=", "line", ".", "split", "(", "None", ",", "1", ")", "# In case an instance with all zero features", "if", "len", "(", "line", ")", "==", "1", ":", "line", "+=", "[", "''", "]", "label", ",", "features", "=", "line", "xi", "=", "{", "}", "for", "e", "in", "features", ".", "split", "(", ")", ":", "ind", ",", "val", "=", "e", ".", "split", "(", "\":\"", ")", "xi", "[", "int", "(", "ind", ")", "]", "=", "float", "(", "val", ")", "prob_y", "+=", "[", "float", "(", "label", ")", "]", "prob_x", "+=", "[", "xi", "]", "return", "(", "prob_y", ",", "prob_x", ")"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/svmutil.py#L14-L34"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "svmutil.py", "language": "python", "identifier": "evaluations", "parameters": "(ty, pv)", "argument_list": "", "return_statement": "return (ACC, MSE, SCC)", "docstring": "evaluations(ty, pv) -> (ACC, MSE, SCC)\n\n\tCalculate accuracy, mean squared error and squared correlation coefficient\n\tusing the true values (ty) and predicted values (pv).", "docstring_summary": "evaluations(ty, pv) -> (ACC, MSE, SCC)", "docstring_tokens": ["evaluations", "(", "ty", "pv", ")", "-", ">", "(", "ACC", "MSE", "SCC", ")"], "function": "def evaluations(ty, pv):\n\t\"\"\"\n\tevaluations(ty, pv) -> (ACC, MSE, SCC)\n\n\tCalculate accuracy, mean squared error and squared correlation coefficient\n\tusing the true values (ty) and predicted values (pv).\n\t\"\"\"\n\tif len(ty) != len(pv):\n\t\traise ValueError(\"len(ty) must equal to len(pv)\")\n\ttotal_correct = total_error = 0\n\tsumv = sumy = sumvv = sumyy = sumvy = 0\n\tfor v, y in zip(pv, ty):\n\t\tif y == v:\n\t\t\ttotal_correct += 1\n\t\ttotal_error += (v-y)(v-y)\n\t\tsumv += v\n\t\tsumy += y\n\t\tsumvv += vv\n\t\tsumyy += yy\n\t\tsumvy += vy\n\tl = len(ty)\n\tACC = 100.0total_correct/l\n\tMSE = total_error/l\n\ttry:\n\t\tSCC = ((lsumvy-sumvsumy)(lsumvy-sumvsumy))/((lsumvv-sumvsumv)(lsumyy-sumysumy))\n\texcept:\n\t\tSCC = float('nan')\n\treturn (ACC, MSE, SCC)", "function_tokens": ["def", "evaluations", "(", "ty", ",", "pv", ")", ":", "if", "len", "(", "ty", ")", "!=", "len", "(", "pv", ")", ":", "raise", "ValueError", "(", "\"len(ty) must equal to len(pv)\"", ")", "total_correct", "=", "total_error", "=", "0", "sumv", "=", "sumy", "=", "sumvv", "=", "sumyy", "=", "sumvy", "=", "0", "for", "v", ",", "y", "in", "zip", "(", "pv", ",", "ty", ")", ":", "if", "y", "==", "v", ":", "total_correct", "+=", "1", "total_error", "+=", "(", "v", "-", "y", ")", "", "(", "v", "-", "y", ")", "sumv", "+=", "v", "sumy", "+=", "y", "sumvv", "+=", "v", "", "v", "sumyy", "+=", "y", "", "y", "sumvy", "+=", "v", "", "y", "l", "=", "len", "(", "ty", ")", "ACC", "=", "100.0", "", "total_correct", "/", "l", "MSE", "=", "total_error", "/", "l", "try", ":", "SCC", "=", "(", "(", "l", "", "sumvy", "-", "sumv", "", "sumy", ")", "", "(", "l", "", "sumvy", "-", "sumv", "", "sumy", ")", ")", "/", "(", "(", "l", "", "sumvv", "-", "sumv", "", "sumv", ")", "", "(", "l", "", "sumyy", "-", "sumy", "", "sumy", ")", ")", "except", ":", "SCC", "=", "float", "(", "'nan'", ")", "return", "(", "ACC", ",", "MSE", ",", "SCC", ")"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/svmutil.py#L57-L84"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "svmutil.py", "language": "python", "identifier": "svm_train", "parameters": "(arg1, arg2=None, arg3=None)", "argument_list": "", "return_statement": "", "docstring": "svm_train(y, x [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob, param) -> model \| ACC\| MSE\n\n\tTrain an SVM model from data (y, x) or an svm_problem prob using\n\t'options' or an svm_parameter param.\n\tIf '-v' is specified in 'options' (i.e., cross validation)\n\teither accuracy (ACC) or mean-squared error (MSE) is returned.\n\toptions:\n\t -s svm_type : set type of SVM (default 0)\n\t 0 -- C-SVC\t\t(multi-class classification)\n\t 1 -- nu-SVC\t\t(multi-class classification)\n\t 2 -- one-class SVM\n\t 3 -- epsilon-SVR\t(regression)\n\t 4 -- nu-SVR\t\t(regression)\n\t -t kernel_type : set type of kernel function (default 2)\n\t 0 -- linear: u'v\n\t 1 -- polynomial: (gammau'v + coef0)^degree\n\t 2 -- radial basis function: exp(-gamma\|u-v\|^2)\n\t 3 -- sigmoid: tanh(gammau'v + coef0)\n\t 4 -- precomputed kernel (kernel values in training_set_file)\n\t -d degree : set degree in kernel function (default 3)\n\t -g gamma : set gamma in kernel function (default 1/num_features)\n\t -r coef0 : set coef0 in kernel function (default 0)\n\t -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1)\n\t -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5)\n\t -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1)\n\t -m cachesize : set cache memory size in MB (default 100)\n\t -e epsilon : set tolerance of termination criterion (default 0.001)\n\t -h shrinking : whether to use the shrinking heuristics, 0 or 1 (default 1)\n\t -b probability_estimates : whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0)\n\t -wi weight : set the parameter C of class i to weightC, for C-SVC (default 1)\n\t -v n: n-fold cross validation mode\n\t -q : quiet mode (no outputs)", "docstring_summary": "svm_train(y, x [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob, param) -> model \| ACC\| MSE", "docstring_tokens": ["svm_train", "(", "y", "x", "[", "options", "]", ")", "-", ">", "model", "\|", "ACC", "\|", "MSE", "svm_train", "(", "prob", "[", "options", "]", ")", "-", ">", "model", "\|", "ACC", "\|", "MSE", "svm_train", "(", "prob", "param", ")", "-", ">", "model", "\|", "ACC\|", "MSE"], "function": "def svm_train(arg1, arg2=None, arg3=None):\n\t\"\"\"\n\tsvm_train(y, x [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob [, options]) -> model \| ACC \| MSE\n\tsvm_train(prob, param) -> model \| ACC\| MSE\n\n\tTrain an SVM model from data (y, x) or an svm_problem prob using\n\t'options' or an svm_parameter param.\n\tIf '-v' is specified in 'options' (i.e., cross validation)\n\teither accuracy (ACC) or mean-squared error (MSE) is returned.\n\toptions:\n\t -s svm_type : set type of SVM (default 0)\n\t 0 -- C-SVC\t\t(multi-class classification)\n\t 1 -- nu-SVC\t\t(multi-class classification)\n\t 2 -- one-class SVM\n\t 3 -- epsilon-SVR\t(regression)\n\t 4 -- nu-SVR\t\t(regression)\n\t -t kernel_type : set type of kernel function (default 2)\n\t 0 -- linear: u'v\n\t 1 -- polynomial: (gammau'v + coef0)^degree\n\t 2 -- radial basis function: exp(-gamma\|u-v\|^2)\n\t 3 -- sigmoid: tanh(gammau'v + coef0)\n\t 4 -- precomputed kernel (kernel values in training_set_file)\n\t -d degree : set degree in kernel function (default 3)\n\t -g gamma : set gamma in kernel function (default 1/num_features)\n\t -r coef0 : set coef0 in kernel function (default 0)\n\t -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1)\n\t -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5)\n\t -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1)\n\t -m cachesize : set cache memory size in MB (default 100)\n\t -e epsilon : set tolerance of termination criterion (default 0.001)\n\t -h shrinking : whether to use the shrinking heuristics, 0 or 1 (default 1)\n\t -b probability_estimates : whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0)\n\t -wi weight : set the parameter C of class i to weightC, for C-SVC (default 1)\n\t -v n: n-fold cross validation mode\n\t -q : quiet mode (no outputs)\n\t\"\"\"\n\tprob, param = None, None\n\tif isinstance(arg1, (list, tuple)):\n\t\tassert isinstance(arg2, (list, tuple))\n\t\ty, x, options = arg1, arg2, arg3\n\t\tparam = svm_parameter(options)\n\t\tprob = svm_problem(y, x, isKernel=(param.kernel_type == PRECOMPUTED))\n\telif isinstance(arg1, svm_problem):\n\t\tprob = arg1\n\t\tif isinstance(arg2, svm_parameter):\n\t\t\tparam = arg2\n\t\telse:\n\t\t\tparam = svm_parameter(arg2)\n\tif prob == None or param == None:\n\t\traise TypeError(\"Wrong types for the arguments\")\n\n\tif param.kernel_type == PRECOMPUTED:\n\t\tfor xi in prob.x_space:\n\t\t\tidx, val = xi[0].index, xi[0].value\n\t\t\tif xi[0].index != 0:\n\t\t\t\traise ValueError('Wrong input format: first column must be 0:sample_serial_number')\n\t\t\tif val <= 0 or val > prob.n:\n\t\t\t\traise ValueError('Wrong input format: sample_serial_number out of range')\n\n\tif param.gamma == 0 and prob.n > 0:\n\t\tparam.gamma = 1.0 / prob.n\n\tlibsvm.svm_set_print_string_function(param.print_func)\n\terr_msg = libsvm.svm_check_parameter(prob, param)\n\tif err_msg:\n\t\traise ValueError('Error: %s' % err_msg)\n\n\tif param.cross_validation:\n\t\tl, nr_fold = prob.l, param.nr_fold\n\t\ttarget = (c_double * l)()\n\t\tlibsvm.svm_cross_validation(prob, param, nr_fold, target)\n\t\tACC, MSE, SCC = evaluations(prob.y[:l], target[:l])\n\t\tif param.svm_type in [EPSILON_SVR, NU_SVR]:\n\t\t\tprint(\"Cross Validation Mean squared error = %g\" % MSE)\n\t\t\tprint(\"Cross Validation Squared correlation coefficient = %g\" % SCC)\n\t\t\treturn MSE\n\t\telse:\n\t\t\tprint(\"Cross Validation Accuracy = %g%%\" % ACC)\n\t\t\treturn ACC\n\telse:\n\t\tm = libsvm.svm_train(prob, param)\n\t\tm = toPyModel(m)\n\n\t\t# If prob is destroyed, data including SVs pointed by m can remain.\n\t\tm.x_space = prob.x_space\n\t\treturn m", "function_tokens": ["def", "svm_train", "(", "arg1", ",", "arg2", "=", "None", ",", "arg3", "=", "None", ")", ":", "prob", ",", "param", "=", "None", ",", "None", "if", "isinstance", "(", "arg1", ",", "(", "list", ",", "tuple", ")", ")", ":", "assert", "isinstance", "(", "arg2", ",", "(", "list", ",", "tuple", ")", ")", "y", ",", "x", ",", "options", "=", "arg1", ",", "arg2", ",", "arg3", "param", "=", "svm_parameter", "(", "options", ")", "prob", "=", "svm_problem", "(", "y", ",", "x", ",", "isKernel", "=", "(", "param", ".", "kernel_type", "==", "PRECOMPUTED", ")", ")", "elif", "isinstance", "(", "arg1", ",", "svm_problem", ")", ":", "prob", "=", "arg1", "if", "isinstance", "(", "arg2", ",", "svm_parameter", ")", ":", "param", "=", "arg2", "else", ":", "param", "=", "svm_parameter", "(", "arg2", ")", "if", "prob", "==", "None", "or", "param", "==", "None", ":", "raise", "TypeError", "(", "\"Wrong types for the arguments\"", ")", "if", "param", ".", "kernel_type", "==", "PRECOMPUTED", ":", "for", "xi", "in", "prob", ".", "x_space", ":", "idx", ",", "val", "=", "xi", "[", "0", "]", ".", "index", ",", "xi", "[", "0", "]", ".", "value", "if", "xi", "[", "0", "]", ".", "index", "!=", "0", ":", "raise", "ValueError", "(", "'Wrong input format: first column must be 0:sample_serial_number'", ")", "if", "val", "<=", "0", "or", "val", ">", "prob", ".", "n", ":", "raise", "ValueError", "(", "'Wrong input format: sample_serial_number out of range'", ")", "if", "param", ".", "gamma", "==", "0", "and", "prob", ".", "n", ">", "0", ":", "param", ".", "gamma", "=", "1.0", "/", "prob", ".", "n", "libsvm", ".", "svm_set_print_string_function", "(", "param", ".", "print_func", ")", "err_msg", "=", "libsvm", ".", "svm_check_parameter", "(", "prob", ",", "param", ")", "if", "err_msg", ":", "raise", "ValueError", "(", "'Error: %s'", "%", "err_msg", ")", "if", "param", ".", "cross_validation", ":", "l", ",", "nr_fold", "=", "prob", ".", "l", ",", "param", ".", "nr_fold", "target", "=", "(", "c_double", "*", "l", ")", "(", ")", "libsvm", ".", "svm_cross_validation", "(", "prob", ",", "param", ",", "nr_fold", ",", "target", ")", "ACC", ",", "MSE", ",", "SCC", "=", "evaluations", "(", "prob", ".", "y", "[", ":", "l", "]", ",", "target", "[", ":", "l", "]", ")", "if", "param", ".", "svm_type", "in", "[", "EPSILON_SVR", ",", "NU_SVR", "]", ":", "print", "(", "\"Cross Validation Mean squared error = %g\"", "%", "MSE", ")", "print", "(", "\"Cross Validation Squared correlation coefficient = %g\"", "%", "SCC", ")", "return", "MSE", "else", ":", "print", "(", "\"Cross Validation Accuracy = %g%%\"", "%", "ACC", ")", "return", "ACC", "else", ":", "m", "=", "libsvm", ".", "svm_train", "(", "prob", ",", "param", ")", "m", "=", "toPyModel", "(", "m", ")", "# If prob is destroyed, data including SVs pointed by m can remain.", "m", ".", "x_space", "=", "prob", ".", "x_space", "return", "m"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/svmutil.py#L86-L171"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "svmutil.py", "language": "python", "identifier": "svm_predict", "parameters": "(y, x, m, options=\"\")", "argument_list": "", "return_statement": "return pred_labels, (ACC, MSE, SCC), pred_values", "docstring": "svm_predict(y, x, m [, options]) -> (p_labels, p_acc, p_vals)\n\n\tPredict data (y, x) with the SVM model m.\n\toptions:\n\t -b probability_estimates: whether to predict probability estimates,\n\t 0 or 1 (default 0); for one-class SVM only 0 is supported.\n\t -q : quiet mode (no outputs).\n\n\tThe return tuple contains\n\tp_labels: a list of predicted labels\n\tp_acc: a tuple including accuracy (for classification), mean-squared\n\t error, and squared correlation coefficient (for regression).\n\tp_vals: a list of decision values or probability estimates (if '-b 1'\n\t is specified). If k is the number of classes, for decision values,\n\t each element includes results of predicting k(k-1)/2 binary-class\n\t SVMs. For probabilities, each element contains k values indicating\n\t the probability that the testing instance is in each class.\n\t Note that the order of classes here is the same as 'model.label'\n\t field in the model structure.", "docstring_summary": "svm_predict(y, x, m [, options]) -> (p_labels, p_acc, p_vals)", "docstring_tokens": ["svm_predict", "(", "y", "x", "m", "[", "options", "]", ")", "-", ">", "(", "p_labels", "p_acc", "p_vals", ")"], "function": "def svm_predict(y, x, m, options=\"\"):\n\t\"\"\"\n\tsvm_predict(y, x, m [, options]) -> (p_labels, p_acc, p_vals)\n\n\tPredict data (y, x) with the SVM model m.\n\toptions:\n\t -b probability_estimates: whether to predict probability estimates,\n\t 0 or 1 (default 0); for one-class SVM only 0 is supported.\n\t -q : quiet mode (no outputs).\n\n\tThe return tuple contains\n\tp_labels: a list of predicted labels\n\tp_acc: a tuple including accuracy (for classification), mean-squared\n\t error, and squared correlation coefficient (for regression).\n\tp_vals: a list of decision values or probability estimates (if '-b 1'\n\t is specified). If k is the number of classes, for decision values,\n\t each element includes results of predicting k(k-1)/2 binary-class\n\t SVMs. For probabilities, each element contains k values indicating\n\t the probability that the testing instance is in each class.\n\t Note that the order of classes here is the same as 'model.label'\n\t field in the model structure.\n\t\"\"\"\n\n\tdef info(s):\n\t\tprint(s)\n\n\tpredict_probability = 0\n\targv = options.split()\n\ti = 0\n\twhile i < len(argv):\n\t\tif argv[i] == '-b':\n\t\t\ti += 1\n\t\t\tpredict_probability = int(argv[i])\n\t\telif argv[i] == '-q':\n\t\t\tinfo = print_null\n\t\telse:\n\t\t\traise ValueError(\"Wrong options\")\n\t\ti+=1\n\n\tsvm_type = m.get_svm_type()\n\tis_prob_model = m.is_probability_model()\n\tnr_class = m.get_nr_class()\n\tpred_labels = []\n\tpred_values = []\n\n\tif predict_probability:\n\t\tif not is_prob_model:\n\t\t\traise ValueError(\"Model does not support probabiliy estimates\")\n\n\t\tif svm_type in [NU_SVR, EPSILON_SVR]:\n\t\t\tinfo(\"Prob. model for test data: target value = predicted value + z,\\n\"\n\t\t\t\"z: Laplace distribution e^(-\|z\|/sigma)/(2sigma),sigma=%g\" % m.get_svr_probability());\n\t\t\tnr_class = 0\n\n\t\tprob_estimates = (c_double * nr_class)()\n\t\tfor xi in x:\n\t\t\txi, idx = gen_svm_nodearray(xi, isKernel=(m.param.kernel_type == PRECOMPUTED))\n\t\t\tlabel = libsvm.svm_predict_probability(m, xi, prob_estimates)\n\t\t\tvalues = prob_estimates[:nr_class]\n\t\t\tpred_labels += [label]\n\t\t\tpred_values += [values]\n\telse:\n\t\tif is_prob_model:\n\t\t\tinfo(\"Model supports probability estimates, but disabled in predicton.\")\n\t\tif svm_type in (ONE_CLASS, EPSILON_SVR, NU_SVC):\n\t\t\tnr_classifier = 1\n\t\telse:\n\t\t\tnr_classifier = nr_class(nr_class-1)//2\n\t\tdec_values = (c_double nr_classifier)()\n\t\tfor xi in x:\n\t\t\txi, idx = gen_svm_nodearray(xi, isKernel=(m.param.kernel_type == PRECOMPUTED))\n\t\t\tlabel = libsvm.svm_predict_values(m, xi, dec_values)\n\t\t\tif(nr_class == 1):\n\t\t\t\tvalues = [1]\n\t\t\telse:\n\t\t\t\tvalues = dec_values[:nr_classifier]\n\t\t\tpred_labels += [label]\n\t\t\tpred_values += [values]\n\n\tACC, MSE, SCC = evaluations(y, pred_labels)\n\tl = len(y)\n\tif svm_type in [EPSILON_SVR, NU_SVR]:\n\t\tinfo(\"Mean squared error = %g (regression)\" % MSE)\n\t\tinfo(\"Squared correlation coefficient = %g (regression)\" % SCC)\n\telse:\n\t\tinfo(\"Accuracy = %g%% (%d/%d) (classification)\" % (ACC, int(lACC/100), l))\n\n\treturn pred_labels, (ACC, MSE, SCC), pred_values", "function_tokens": ["def", "svm_predict", "(", "y", ",", "x", ",", "m", ",", "options", "=", "\"\"", ")", ":", "def", "info", "(", "s", ")", ":", "print", "(", "s", ")", "predict_probability", "=", "0", "argv", "=", "options", ".", "split", "(", ")", "i", "=", "0", "while", "i", "<", "len", "(", "argv", ")", ":", "if", "argv", "[", "i", "]", "==", "'-b'", ":", "i", "+=", "1", "predict_probability", "=", "int", "(", "argv", "[", "i", "]", ")", "elif", "argv", "[", "i", "]", "==", "'-q'", ":", "info", "=", "print_null", "else", ":", "raise", "ValueError", "(", "\"Wrong options\"", ")", "i", "+=", "1", "svm_type", "=", "m", ".", "get_svm_type", "(", ")", "is_prob_model", "=", "m", ".", "is_probability_model", "(", ")", "nr_class", "=", "m", ".", "get_nr_class", "(", ")", "pred_labels", "=", "[", "]", "pred_values", "=", "[", "]", "if", "predict_probability", ":", "if", "not", "is_prob_model", ":", "raise", "ValueError", "(", "\"Model does not support probabiliy estimates\"", ")", "if", "svm_type", "in", "[", "NU_SVR", ",", "EPSILON_SVR", "]", ":", "info", "(", "\"Prob. model for test data: target value = predicted value + z,\\n\"", "\"z: Laplace distribution e^(-\|z\|/sigma)/(2sigma),sigma=%g\"", "%", "m", ".", "get_svr_probability", "(", ")", ")", "nr_class", "=", "0", "prob_estimates", "=", "(", "c_double", "", "nr_class", ")", "(", ")", "for", "xi", "in", "x", ":", "xi", ",", "idx", "=", "gen_svm_nodearray", "(", "xi", ",", "isKernel", "=", "(", "m", ".", "param", ".", "kernel_type", "==", "PRECOMPUTED", ")", ")", "label", "=", "libsvm", ".", "svm_predict_probability", "(", "m", ",", "xi", ",", "prob_estimates", ")", "values", "=", "prob_estimates", "[", ":", "nr_class", "]", "pred_labels", "+=", "[", "label", "]", "pred_values", "+=", "[", "values", "]", "else", ":", "if", "is_prob_model", ":", "info", "(", "\"Model supports probability estimates, but disabled in predicton.\"", ")", "if", "svm_type", "in", "(", "ONE_CLASS", ",", "EPSILON_SVR", ",", "NU_SVC", ")", ":", "nr_classifier", "=", "1", "else", ":", "nr_classifier", "=", "nr_class", "", "(", "nr_class", "-", "1", ")", "//", "2", "dec_values", "=", "(", "c_double", "", "nr_classifier", ")", "(", ")", "for", "xi", "in", "x", ":", "xi", ",", "idx", "=", "gen_svm_nodearray", "(", "xi", ",", "isKernel", "=", "(", "m", ".", "param", ".", "kernel_type", "==", "PRECOMPUTED", ")", ")", "label", "=", "libsvm", ".", "svm_predict_values", "(", "m", ",", "xi", ",", "dec_values", ")", "if", "(", "nr_class", "==", "1", ")", ":", "values", "=", "[", "1", "]", "else", ":", "values", "=", "dec_values", "[", ":", "nr_classifier", "]", "pred_labels", "+=", "[", "label", "]", "pred_values", "+=", "[", "values", "]", "ACC", ",", "MSE", ",", "SCC", "=", "evaluations", "(", "y", ",", "pred_labels", ")", "l", "=", "len", "(", "y", ")", "if", "svm_type", "in", "[", "EPSILON_SVR", ",", "NU_SVR", "]", ":", "info", "(", "\"Mean squared error = %g (regression)\"", "%", "MSE", ")", "info", "(", "\"Squared correlation coefficient = %g (regression)\"", "%", "SCC", ")", "else", ":", "info", "(", "\"Accuracy = %g%% (%d/%d) (classification)\"", "%", "(", "ACC", ",", "int", "(", "l", "*", "ACC", "/", "100", ")", ",", "l", ")", ")", "return", "pred_labels", ",", "(", "ACC", ",", "MSE", ",", "SCC", ")", ",", "pred_values"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/svmutil.py#L173-L260"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "pycaptcha/modpython_example.py", "language": "python", "identifier": "test", "parameters": "(req, name=Tests.__all__[0])", "argument_list": "", "return_statement": "return \"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example (for mod_python)</h1>\n<p>\n <b>%s</b>:\n %s\n</p>\n\n<p><img src=\"image?id=%s\"/></p>\n<p>\n <form action=\"solution\" method=\"get\">\n Enter the word shown:\n <input type=\"text\" name=\"word\"/>\n <input type=\"hidden\" name=\"id\" value=\"%s\"/>\n </form>\n</p>\n\n<p>\nOr try...\n<ul>\n%s\n</ul>\n</p>\n\n</body>\n</html>\n\"\"\" % (test.__class__.__name__, test.__doc__, test.id, test.id, others)", "docstring": "Show a newly generated CAPTCHA of the given class.\n Default is the first class name given in Tests.__all__", "docstring_summary": "Show a newly generated CAPTCHA of the given class.\n Default is the first class name given in Tests.__all__", "docstring_tokens": ["Show", "a", "newly", "generated", "CAPTCHA", "of", "the", "given", "class", ".", "Default", "is", "the", "first", "class", "name", "given", "in", "Tests", ".", "__all__"], "function": "def test(req, name=Tests.__all__[0]):\n \"\"\"Show a newly generated CAPTCHA of the given class.\n Default is the first class name given in Tests.__all__\n \"\"\"\n test = _getFactory(req).new(getattr(Tests, name))\n\n # Make a list of tests other than the one we're using\n others = []\n for t in Tests.__all__:\n if t != name:\n others.append('<li><a href=\"?name=%s\">%s</a></li>' % (t,t))\n others = \"\\n\".join(others)\n\n return \"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example (for mod_python)</h1>\n<p>\n <b>%s</b>:\n %s\n</p>\n\n<p><img src=\"image?id=%s\"/></p>\n<p>\n <form action=\"solution\" method=\"get\">\n Enter the word shown:\n <input type=\"text\" name=\"word\"/>\n <input type=\"hidden\" name=\"id\" value=\"%s\"/>\n </form>\n</p>\n\n<p>\nOr try...\n<ul>\n%s\n</ul>\n</p>\n\n</body>\n</html>\n\"\"\" % (test.__class__.__name__, test.__doc__, test.id, test.id, others)", "function_tokens": ["def", "test", "(", "req", ",", "name", "=", "Tests", ".", "__all__", "[", "0", "]", ")", ":", "test", "=", "_getFactory", "(", "req", ")", ".", "new", "(", "getattr", "(", "Tests", ",", "name", ")", ")", "# Make a list of tests other than the one we're using", "others", "=", "[", "]", "for", "t", "in", "Tests", ".", "__all__", ":", "if", "t", "!=", "name", ":", "others", ".", "append", "(", "'<li><a href=\"?name=%s\">%s</a></li>'", "%", "(", "t", ",", "t", ")", ")", "others", "=", "\"\\n\"", ".", "join", "(", "others", ")", "return", "\"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example (for mod_python)</h1>\n<p>\n <b>%s</b>:\n %s\n</p>\n\n<p><img src=\"image?id=%s\"/></p>\n<p>\n <form action=\"solution\" method=\"get\">\n Enter the word shown:\n <input type=\"text\" name=\"word\"/>\n <input type=\"hidden\" name=\"id\" value=\"%s\"/>\n </form>\n</p>\n\n<p>\nOr try...\n<ul>\n%s\n</ul>\n</p>\n\n</body>\n</html>\n\"\"\"", "%", "(", "test", ".", "__class__", ".", "__name__", ",", "test", ".", "__doc__", ",", "test", ".", "id", ",", "test", ".", "id", ",", "others", ")"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/pycaptcha/modpython_example.py#L27-L69"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "pycaptcha/modpython_example.py", "language": "python", "identifier": "image", "parameters": "(req, id)", "argument_list": "", "return_statement": "return apache.OK", "docstring": "Generate an image for the CAPTCHA with the given ID string", "docstring_summary": "Generate an image for the CAPTCHA with the given ID string", "docstring_tokens": ["Generate", "an", "image", "for", "the", "CAPTCHA", "with", "the", "given", "ID", "string"], "function": "def image(req, id):\n \"\"\"Generate an image for the CAPTCHA with the given ID string\"\"\"\n test = _getFactory(req).get(id)\n if not test:\n raise apache.SERVER_RETURN, apache.HTTP_NOT_FOUND\n req.content_type = \"image/jpeg\"\n test.render().save(req, \"JPEG\")\n return apache.OK", "function_tokens": ["def", "image", "(", "req", ",", "id", ")", ":", "test", "=", "_getFactory", "(", "req", ")", ".", "get", "(", "id", ")", "if", "not", "test", ":", "raise", "apache", ".", "SERVER_RETURN", ",", "apache", ".", "HTTP_NOT_FOUND", "req", ".", "content_type", "=", "\"image/jpeg\"", "test", ".", "render", "(", ")", ".", "save", "(", "req", ",", "\"JPEG\"", ")", "return", "apache", ".", "OK"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/pycaptcha/modpython_example.py#L72-L79"}
{"nwo": "00nanhai/captchacker2", "sha": "7609141b51ff0cf3329608b8101df967cb74752f", "path": "pycaptcha/modpython_example.py", "language": "python", "identifier": "solution", "parameters": "(req, id, word)", "argument_list": "", "return_statement": "return \"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example</h1>\n<h2>%s</h2>\n<p><img src=\"image?id=%s\"/></p>\n<p><b>%s</b></p>\n<p>You guessed: %s</p>\n<p>Possible solutions: %s</p>\n<p><a href=\"test\">Try again</a></p>\n</body>\n</html>\n\"\"\" % (test.__class__.__name__, test.id, result, word, \", \".join(test.solutions))", "docstring": "Grade a CAPTCHA given a solution word", "docstring_summary": "Grade a CAPTCHA given a solution word", "docstring_tokens": ["Grade", "a", "CAPTCHA", "given", "a", "solution", "word"], "function": "def solution(req, id, word):\n \"\"\"Grade a CAPTCHA given a solution word\"\"\"\n test = _getFactory(req).get(id)\n if not test:\n raise apache.SERVER_RETURN, apache.HTTP_NOT_FOUND\n\n if not test.valid:\n # Invalid tests will always return False, to prevent\n # random trial-and-error attacks. This could be confusing to a user...\n result = \"Test invalidated, try another test\"\n elif test.testSolutions([word]):\n result = \"Correct\"\n else:\n result = \"Incorrect\"\n\n return \"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example</h1>\n<h2>%s</h2>\n<p><img src=\"image?id=%s\"/></p>\n<p><b>%s</b></p>\n<p>You guessed: %s</p>\n<p>Possible solutions: %s</p>\n<p><a href=\"test\">Try again</a></p>\n</body>\n</html>\n\"\"\" % (test.__class__.__name__, test.id, result, word, \", \".join(test.solutions))", "function_tokens": ["def", "solution", "(", "req", ",", "id", ",", "word", ")", ":", "test", "=", "_getFactory", "(", "req", ")", ".", "get", "(", "id", ")", "if", "not", "test", ":", "raise", "apache", ".", "SERVER_RETURN", ",", "apache", ".", "HTTP_NOT_FOUND", "if", "not", "test", ".", "valid", ":", "# Invalid tests will always return False, to prevent", "# random trial-and-error attacks. This could be confusing to a user...", "result", "=", "\"Test invalidated, try another test\"", "elif", "test", ".", "testSolutions", "(", "[", "word", "]", ")", ":", "result", "=", "\"Correct\"", "else", ":", "result", "=", "\"Incorrect\"", "return", "\"\"\"<html>\n<head>\n<title>PyCAPTCHA Example</title>\n</head>\n<body>\n<h1>PyCAPTCHA Example</h1>\n<h2>%s</h2>\n<p><img src=\"image?id=%s\"/></p>\n<p><b>%s</b></p>\n<p>You guessed: %s</p>\n<p>Possible solutions: %s</p>\n<p><a href=\"test\">Try again</a></p>\n</body>\n</html>\n\"\"\"", "%", "(", "test", ".", "__class__", ".", "__name__", ",", "test", ".", "id", ",", "result", ",", "word", ",", "\", \"", ".", "join", "(", "test", ".", "solutions", ")", ")"], "url": "https://github.com/00nanhai/captchacker2/blob/7609141b51ff0cf3329608b8101df967cb74752f/pycaptcha/modpython_example.py#L82-L111"}
{"actor1": "Unidentified Armed Group (Pakistan)", "actor2": "Civilians (Pakistan)", "notes": "Three people were killed while 27 others injured when a Peshawar-bound train hit a bomb planted by unidentified militants on railway tracks in Tul town in Jacobabad district in Sindh.", "target_text": "actor1: Unidentified Armed Group (Pakistan), actor2: Civilians (Pakistan)"}
{"actor1": "Military Forces of Somalia (2012-2017)", "actor2": "Civilians (Somalia)", "notes": "Government security forces opened fire at a private residential house in Berdale neighbourhood (Baidoa) in the evening of 03/05. The motive behind the shooting is currently unclear. The house belongs to a local businessman but was not in at the time of the shooting.", "target_text": "actor1: Military Forces of Somalia (2012-2017), actor2: Civilians (Somalia)"}
{"actor1": "Al Shabaab", "actor2": "Military Forces of Somalia (2004-2012)", "notes": "Al Shabaab forces attacked government forces backed by Ethiopian forces.", "target_text": "actor1: Al Shabaab, actor2: Military Forces of Somalia (2004-2012)"}
{"actor1": "MNLA: National Movement for the Liberation of Azawad", "actor2": "Government of Mali (2013-2020)", "notes": "Agreement: Rebels resumed peace talks with the Malian government for the first time since September 26th.", "target_text": "actor1: MNLA: National Movement for the Liberation of Azawad, actor2: Government of Mali (2013-2020)"}
{"actor1": "Unidentified Armed Group (Kenya)", "actor2": "Civilians (Kenya)", "notes": "Unidentified assailants launched an attack targetting civilians. Details uncertain.", "target_text": "actor1: Unidentified Armed Group (Kenya), actor2: Civilians (Kenya)"}
{"actor1": "ULFA-I: United Liberation Front of Asom-Independent", "actor2": "Police Forces of India (2014-)", "notes": "An ULFA (I) militant was killed in an encounter with security forces in Assam's Udalguri district on December 1.", "target_text": "actor1: ULFA-I: United Liberation Front of Asom-Independent, actor2: Police Forces of India (2014-)"}
{"actor1": "Unidentified Armed Group (Somalia)", "actor2": "Military Forces of Somalia (2000-2004)", "notes": "approximately ten killed and fifteen wounded, including police in armed attack", "target_text": "actor1: Unidentified Armed Group (Somalia), actor2: Military Forces of Somalia (2000-2004)"}
{"actor1": "Military Forces of India (2014-)", "actor2": "Military Forces of Pakistan (2013-2018)", "notes": "Indian and Pakistani forces exchanged fired aross the LoC on the night of Aug 23 and continuing for hours into Aug 24. In AJK, the Charwa, Chaprar, Jarwal, Anula, Nandpur, Jand Merajke, Khadral, Bajra Garhi, Kaseera, Rangpur Jattan, Sucheetgarh, Beeni, Meendarwal, Thathi Khurd, and Thathi Kalan villages of Sialkot tehsil/district in Punjab were affected. 1 civilian was injured in Jarwal, 65 houses were damaged/destroyed, and livestock were killed.", "target_text": "actor1: Military Forces of India (2014-), actor2: Military Forces of Pakistan (2013-2018)"}
{"actor1": "Unidentified Armed Group (Bangladesh)", "actor2": "Police Forces of Bangladesh (2009-)", "notes": "On Nov 4, one police constable was killed and four others were injured as some unidentified men armed with sharp weapons made a sudden attack on them at Baraipara in Ashulia (Savar, Dhaka).", "target_text": "actor1: Unidentified Armed Group (Bangladesh), actor2: Police Forces of Bangladesh (2009-)"}
{"actor1": "Aman Lashkar", "actor2": "LeI: Lashkar-e-Islam", "notes": "3 militants from LI were killed and 2 others injured in a clash with TI in Tirah", "target_text": "actor1: Aman Lashkar, actor2: LeI: Lashkar-e-Islam"}
{"text": "help me find a new position as a programmer", "target": 80, "evaluation_predictions": [2.21484375, 0.162353515625, 0.437744140625, 0.36669921875, -0.4765625, -0.6591796875, -0.290283203125, 1.0361328125, -0.92138671875, 0.1929931640625, 0.625, -0.95654296875, -0.27099609375, -0.7392578125, 0.1363525390625, 0.1827392578125, 1.001953125, -0.0297393798828125, 0.30419921875, 0.552734375, -0.79638671875, 0.37939453125, -0.25341796875, -1.328125, -0.54638671875, 0.248779296875, 0.427978515625, -0.316162109375, -0.337890625, -0.56005859375, -0.6240234375, 0.231689453125, 0.1378173828125, 1.6796875, 0.646484375, -0.0771484375, 0.1673583984375, 0.53466796875, -0.00397491455078125, -0.22607421875, 0.1085205078125, -0.86767578125, 6.01953125, -1.08203125, -1.041015625, 0.032196044921875, 0.73876953125, -0.759765625, 0.06622314453125, -0.96044921875, 0.46142578125, -0.77001953125, 0.7099609375, -0.24658203125, -0.31591796875, 0.8291015625, -0.384765625, 5.140625, -0.1312255859375, -0.199462890625, -1.2421875, -1.376953125, -0.08502197265625, 0.1593017578125, -0.69970703125, 1.4443359375, 0.8271484375, -0.5078125, -1.0009765625, -0.4921875, -0.693359375, -0.37939453125, -0.09625244140625, -0.449951171875, 0.4951171875, 0.2396240234375, -0.1353759765625, -0.139892578125, -0.685546875, -0.67333984375, 0.3193359375, -0.419921875, 0.10357666015625, -0.26708984375, -1.068359375, -0.281005859375, -0.0198822021484375, -0.1292724609375, -0.353759765625, -0.85009765625, -0.467529296875, -0.724609375, 1.1220703125, 1.1533203125, -0.96337890625, 0.2442626953125, 0.5791015625, 2.162109375, 0.0322265625, -1.162109375, 1.2216796875, 0.3349609375, 0.8115234375, -0.249267578125, 0.6884765625, -1.3681640625, 0.314208984375, -0.52001953125, -0.256591796875, -1.177734375, -1.2041015625, -0.97509765625, 1.0830078125, -0.859375, 1.431640625, 0.984375, 0.421142578125, 0.279052734375, 0.219970703125, 0.454833984375, -0.290771484375, 1.58203125, -0.7666015625, -0.09429931640625, 1.2236328125, -0.623046875, -0.07244873046875, 0.052581787109375, 0.2900390625, 0.2386474609375, 0.059326171875, -0.728515625, 0.0303192138671875, 0.2076416015625, -0.732421875, 0.18408203125, -0.74169921875, -0.1182861328125, 1.33984375, -0.04443359375, -1.185546875, -0.276123046875, -0.4375, 0.15234375, -0.09185791015625, 0.82080078125, 0.367431640625, 0.2469482421875, -0.065673828125, 1.5068359375, 0.439453125]}
{"text": "plug used in china", "target": 88, "evaluation_predictions": [0.1614990234375, 0.428466796875, -0.6884765625, -0.368408203125, 0.60693359375, -0.363037109375, -0.414794921875, -0.183837890625, -0.063232421875, 0.5390625, 1.056640625, -0.63330078125, -0.94482421875, -1.0341796875, 0.52294921875, -0.56396484375, 1.1611328125, 0.85400390625, 0.3359375, -0.46142578125, -1.1201171875, 0.0300140380859375, 0.098388671875, 0.5078125, 0.340087890625, 0.92138671875, -0.01099395751953125, 0.6259765625, 0.2059326171875, 0.1287841796875, -0.425048828125, 0.392822265625, -1.0078125, -0.337890625, -0.53173828125, -0.47802734375, 0.1217041015625, -0.037750244140625, -0.45751953125, 0.274658203125, 0.1475830078125, 0.51220703125, 0.45068359375, 0.51416015625, -1.1005859375, 1.2138671875, -0.47900390625, -0.2490234375, -0.00896453857421875, 0.16455078125, -0.28955078125, 0.258056640625, -0.076904296875, 0.18359375, -0.478515625, -0.6572265625, 0.6552734375, -0.34375, -0.67041015625, -0.004070281982421875, -0.1689453125, 0.5927734375, -1.0283203125, -0.130615234375, 0.057281494140625, -0.081298828125, 0.41064453125, 0.25244140625, 0.411376953125, -0.11297607421875, 0.70361328125, -0.84765625, 0.276123046875, -0.2020263671875, 0.65966796875, 0.09857177734375, 0.2626953125, -0.308349609375, -0.38818359375, -0.48046875, 0.02435302734375, 1.7568359375, -0.395263671875, 0.0247039794921875, -0.38671875, 0.1942138671875, -0.3037109375, 0.99560546875, 0.027374267578125, 0.358154296875, -1.0078125, -0.428955078125, -0.2357177734375, -0.353271484375, -0.591796875, -0.62744140625, 0.626953125, -0.58837890625, 0.03509521484375, 0.358154296875, -0.64697265625, -0.39111328125, -0.5166015625, -0.9443359375, -0.08807373046875, -0.2010498046875, 0.24853515625, -0.42236328125, -0.61669921875, -0.10595703125, 0.29931640625, 1.3291015625, 0.4189453125, 0.380615234375, -1.251953125, -0.8134765625, -1.1787109375, 0.4140625, -0.321533203125, -0.5869140625, 9.734375, -0.7060546875, 0.15673828125, -0.464599609375, -0.828125, -0.3681640625, -0.461181640625, -0.55224609375, -0.57421875, -0.418701171875, 2.822265625, 0.463623046875, 0.70166015625, 0.235107421875, 1.353515625, -0.22900390625, 0.1988525390625, -1.2548828125, -0.88623046875, -0.2685546875, -0.23779296875, -0.6630859375, -0.14990234375, 0.39404296875, -0.71435546875, -0.2763671875, -1.3837890625, 0.0721435546875, -0.5146484375, -0.1878662109375, 0.69873046875]}
{"text": "what's the exhange rate between mxn and gbp", "target": 39, "evaluation_predictions": [0.471435546875, 0.51220703125, -0.2039794921875, 0.037261962890625, 0.109619140625, 0.20458984375, 0.254638671875, 6.9609375, 0.62060546875, -0.04925537109375, -0.7666015625, -0.2188720703125, -0.39599609375, -0.650390625, 0.55712890625, -0.60888671875, 0.289794921875, -0.440673828125, -0.92236328125, -0.63623046875, -0.4052734375, -0.16796875, -0.2025146484375, -1.3447265625, -0.5810546875, 0.007415771484375, 0.61474609375, 0.1959228515625, -0.50927734375, -0.220947265625, 0.041900634765625, 0.331787109375, -0.046875, 2.12109375, 0.17333984375, 0.462890625, 0.10772705078125, 0.1680908203125, 4.953125, -1.01953125, 0.2568359375, -0.58642578125, 4.62890625, -1.0341796875, 0.1953125, 1.15625, 0.54345703125, 0.05218505859375, -0.806640625, -1.087890625, 0.1361083984375, -0.1396484375, -0.263671875, -0.28271484375, 0.1832275390625, 0.0303955078125, -0.26123046875, 0.274169921875, 0.08062744140625, -0.341552734375, -1.2978515625, 1.1923828125, 0.56494140625, -0.322265625, -0.470703125, -0.7353515625, -0.268798828125, -0.037628173828125, 0.20849609375, 0.37841796875, -0.73974609375, -0.2127685546875, -0.701171875, 0.469482421875, -0.156982421875, -0.1837158203125, -0.7177734375, 0.73974609375, -0.199951171875, -1.1474609375, 0.67333984375, -0.2489013671875, 0.000499725341796875, -0.1397705078125, 0.53076171875, -0.88134765625, 0.302001953125, -0.5234375, -0.28173828125, 0.51611328125, -0.450439453125, -0.9375, -0.383544921875, -0.421875, 0.0077056884765625, 0.360595703125, -0.7412109375, 0.7763671875, 1.0400390625, -0.469970703125, 0.703125, -0.08587646484375, -0.2191162109375, -0.7783203125, -0.7060546875, -0.5048828125, 1.33203125, 0.06719970703125, -0.420654296875, -1.3681640625, 0.1156005859375, -0.1348876953125, 0.4833984375, -0.77294921875, -0.1915283203125, -0.45751953125, -0.313232421875, 0.71142578125, -0.17138671875, 0.61328125, -0.282958984375, 0.075927734375, -0.36376953125, -0.1434326171875, 0.85693359375, -1.4912109375, -0.513671875, -0.8251953125, 0.5888671875, -0.206298828125, -0.1929931640625, -0.198974609375, 0.463623046875, 0.6591796875, 0.280029296875, 0.08648681640625, -0.14404296875, 0.587890625, 1.40234375, 0.6572265625, -0.265380859375, 1.04296875, 1.1533203125, -0.68896484375, -1.1630859375, -0.469482421875, 1.2099609375, -0.2496337890625, -0.58837890625, 0.45849609375, -0.02569580078125]}
{"text": "let me know what ingredients i need to make pasta", "target": 56, "evaluation_predictions": [0.206787109375, 0.7001953125, -0.0953369140625, 1.9130859375, 0.04693603515625, -0.77001953125, -0.4365234375, -0.215087890625, -0.4921875, 0.1971435546875, 0.4326171875, 0.0231475830078125, 0.1756591796875, -0.056732177734375, 0.1561279296875, 0.60302734375, 1.033203125, -0.19140625, -0.64501953125, -0.9541015625, -0.81591796875, 0.4970703125, -0.1756591796875, -0.234619140625, 0.51220703125, -0.483642578125, -0.06683349609375, -0.80029296875, 0.61181640625, -0.1868896484375, -0.16796875, 1.2099609375, -0.0096893310546875, -0.423095703125, 0.406494140625, -0.705078125, -0.390380859375, -0.054840087890625, 0.083984375, -0.198974609375, -0.58251953125, -1.439453125, 1.4755859375, 0.57373046875, -1.3515625, 0.4775390625, 1.22265625, 0.462646484375, -0.457763671875, -0.1851806640625, 0.53271484375, 0.10833740234375, -0.265869140625, 0.23828125, 0.315673828125, -1.3115234375, -0.62158203125, 0.95654296875, -0.06903076171875, 0.16552734375, -1.2265625, 0.27392578125, -0.2247314453125, 0.15283203125, 0.036712646484375, 0.356201171875, -0.81982421875, -0.043060302734375, -0.99560546875, 0.7119140625, -0.68310546875, -0.460205078125, 0.5654296875, -0.310791015625, 0.369140625, -0.2073974609375, 0.182373046875, 0.517578125, 0.43115234375, -0.96044921875, 0.275146484375, -0.09442138671875, -0.359375, 0.8212890625, -0.7919921875, 0.45556640625, 0.1356201171875, -0.5400390625, -2.288818359375e-05, 0.305908203125, -0.34130859375, 0.007488250732421875, -0.64208984375, 0.27880859375, -0.280517578125, -0.78076171875, 0.039764404296875, -0.269775390625, -1.005859375, -0.3896484375, 0.7900390625, 0.69921875, -0.205078125, -0.736328125, 2.94921875, -0.9130859375, 0.220458984375, -0.43310546875, -0.8984375, -1.1103515625, -0.8701171875, -0.84619140625, 9.84375, 0.60009765625, -0.0009188652038574219, 0.48193359375, -0.363525390625, -0.321533203125, 0.44873046875, -1.2705078125, 0.268798828125, 0.552734375, 0.125244140625, 0.4326171875, 0.313232421875, -0.63671875, 0.0287628173828125, -1.333984375, -0.345703125, -0.71923828125, -0.2578125, -0.87060546875, -0.86767578125, 0.412109375, 1.9267578125, -0.08831787109375, -0.5126953125, -0.47607421875, 0.9150390625, -0.10009765625, 0.525390625, 0.70849609375, -0.453857421875, -0.2100830078125, -0.294921875, -0.00023663043975830078, -1.3291015625, -0.12091064453125, -0.765625, -0.05938720703125, 0.06793212890625]}
{"text": "tell me what pokemon is", "target": 80, "evaluation_predictions": [1.666015625, 1.068359375, -0.31982421875, -0.1217041015625, -0.431640625, -0.55859375, -0.281005859375, 1.75390625, -0.5625, 0.79052734375, 0.295166015625, -0.69677734375, -0.4990234375, -0.576171875, -0.82275390625, 0.349853515625, 0.43310546875, -0.27734375, 0.23388671875, 0.3173828125, -0.460205078125, 0.8154296875, 0.3720703125, -1.173828125, -0.257080078125, -0.42333984375, 0.31298828125, 0.16162109375, -0.426513671875, -0.826171875, -0.53271484375, 0.5791015625, 0.10369873046875, 1.640625, 1.6572265625, -0.05181884765625, 1.150390625, 0.826171875, 0.368408203125, -1.0146484375, -0.408447265625, -0.457275390625, 10.5703125, -0.734375, 0.079833984375, -0.0013179779052734375, 0.9169921875, -0.87255859375, 0.0980224609375, -1.0126953125, 0.82421875, -1.6474609375, 0.2186279296875, 0.1630859375, 0.62109375, -0.344482421875, -0.10552978515625, -0.142578125, 0.755859375, -0.388916015625, -0.274169921875, -1.1181640625, 0.18115234375, 0.08197021484375, -0.6279296875, -0.6689453125, 1.2431640625, -0.449462890625, -0.36962890625, 0.459716796875, -0.96435546875, -0.387451171875, -0.8037109375, 0.677734375, 1.4033203125, -0.517578125, 0.157470703125, 0.334716796875, -0.40771484375, -1.046875, 0.97509765625, 0.06671142578125, -0.31298828125, 0.9267578125, 0.284912109375, 0.267578125, -0.1800537109375, -0.395263671875, -0.25439453125, -0.177734375, 0.28955078125, -1.0751953125, 0.32568359375, 0.2239990234375, -0.488037109375, 1.001953125, 0.900390625, -0.1719970703125, 0.044708251953125, 0.2242431640625, -0.2337646484375, -0.46875, -0.0267486572265625, -0.447265625, 0.70458984375, -0.42822265625, 0.6875, -0.86181640625, -0.0665283203125, -1.86328125, -0.356201171875, -0.465087890625, 0.99169921875, -0.26953125, -0.60302734375, -0.0017528533935546875, -0.2283935546875, 0.75244140625, -0.39697265625, -0.5283203125, 0.6640625, 0.69189453125, -0.292724609375, -0.1353759765625, 0.289794921875, -1.3544921875, -0.57470703125, 0.21337890625, 0.377197265625, 1.2802734375, -0.2423095703125, -0.363037109375, 0.3203125, -0.2098388671875, -0.4775390625, -0.78662109375, 0.52587890625, -0.14013671875, 1.234375, 0.435791015625, -0.5146484375, -0.1666259765625, 0.55419921875, -0.7314453125, -1.107421875, 0.05517578125, -1.0615234375, -0.75244140625, -0.2841796875, 0.849609375, -0.0457763671875]}
{"text": "i was in thailand and i could not use my card to buy snacks", "target": 18, "evaluation_predictions": [-0.2119140625, 0.20458984375, 2.453125, 0.071044921875, -0.1695556640625, 0.77685546875, 0.89501953125, -1.44921875, 0.421875, -0.30908203125, -1.029296875, -1.177734375, 1.779296875, -1.3515625, -0.50146484375, -0.1500244140625, -0.1292724609375, 0.282958984375, 0.677734375, -0.383544921875, 0.662109375, -0.07440185546875, -0.03564453125, 0.02069091796875, 0.1298828125, -0.36328125, -0.87353515625, -1.1083984375, 0.55322265625, -0.12548828125, -0.60595703125, -0.982421875, -0.771484375, 0.67724609375, -1.5390625, 0.1595458984375, -0.81982421875, -0.96435546875, -0.341552734375, -0.80810546875, -0.0712890625, 1.4794921875, -0.6982421875, 0.79150390625, 0.982421875, -0.8701171875, -0.60693359375, -0.89306640625, 0.359375, 8.7890625, 0.99853515625, 0.55517578125, -0.40380859375, -0.5439453125, -0.9072265625, -0.953125, -0.9111328125, -0.3583984375, 0.10113525390625, 0.71875, 0.84326171875, -0.12744140625, 0.0755615234375, 0.22802734375, -0.343994140625, -0.77392578125, -0.360107421875, -0.294677734375, 0.72119140625, 0.18115234375, 1.974609375, -0.061614990234375, 0.2646484375, -0.1785888671875, -0.0750732421875, -0.0455322265625, -0.2244873046875, -0.1378173828125, -0.48046875, -0.319091796875, -0.984375, -0.33740234375, -0.5068359375, -0.9091796875, -0.454345703125, -0.341552734375, -0.83154296875, 3.41796875, -0.43408203125, 0.31005859375, 0.9228515625, 1.626953125, 0.046356201171875, -0.5068359375, -1.212890625, -0.2939453125, 0.22607421875, -1.0361328125, -0.421630859375, -0.499755859375, 0.349853515625, -1.935546875, 0.27099609375, 1.8642578125, -1.220703125, -0.463623046875, 0.036163330078125, 0.03704833984375, 0.7412109375, 0.8359375, -0.49267578125, -0.2430419921875, -0.22021484375, -0.1856689453125, -0.6240234375, 0.134521484375, 0.441162109375, 0.380126953125, -0.73388671875, -0.7021484375, 0.1768798828125, 0.0360107421875, 0.7900390625, -0.681640625, 0.06494140625, 0.0239105224609375, -0.2119140625, 0.701171875, -0.12347412109375, -0.2041015625, -0.64501953125, -0.443603515625, 1.8076171875, 0.32275390625, -0.478271484375, -0.2044677734375, 0.054534912109375, 2.546875, -1.36328125, -0.7802734375, -0.2236328125, -0.53173828125, -0.171875, -0.4013671875, 0.1419677734375, 0.018798828125, 0.413330078125, -1.240234375, -0.2822265625, -0.262939453125, -0.9365234375]}
{"text": "i want to reserve table for 5 at red robin under the name sara at 5", "target": 102, "evaluation_predictions": [-0.326171875, -0.234619140625, 0.099365234375, 0.9609375, 0.220947265625, -0.47802734375, 0.1268310546875, -0.7578125, -1.26953125, 0.380859375, -0.6181640625, 1.16015625, -1.064453125, -0.193603515625, -0.225341796875, 0.58740234375, -0.9111328125, 0.18798828125, 1.921875, -0.58056640625, 0.1407470703125, -0.015899658203125, 0.2242431640625, 10.0390625, -0.276611328125, 0.5390625, -0.164794921875, -0.454833984375, 0.240478515625, -0.41015625, -0.80126953125, -0.55615234375, -0.379638671875, -0.22265625, -0.1358642578125, 0.09698486328125, -0.69970703125, -0.305908203125, -1.5498046875, 0.6201171875, -0.24755859375, -0.6259765625, -1.2041015625, -0.040618896484375, -0.279541015625, -0.59228515625, 0.0755615234375, 0.281005859375, 0.489013671875, 0.740234375, -0.39794921875, -0.35693359375, 0.11651611328125, -0.08746337890625, -0.7783203125, 1.0615234375, 0.352294921875, -0.74462890625, -1.087890625, 0.448486328125, 0.43310546875, 0.20849609375, 0.69091796875, -0.185546875, -0.270263671875, -0.8759765625, 0.291259765625, 1.1513671875, -0.2193603515625, -0.255615234375, -0.033111572265625, -0.26806640625, 0.321533203125, -1.3544921875, -0.71875, 0.94287109375, -0.78662109375, 0.83642578125, -0.08758544921875, 0.7109375, 0.5068359375, -0.06640625, 0.11151123046875, 0.2327880859375, -0.0906982421875, 2.4375, 0.316162109375, -0.91064453125, -0.341552734375, -0.68505859375, -0.1287841796875, 0.040679931640625, 0.07733154296875, 0.019439697265625, -0.6298828125, 0.057098388671875, -0.462890625, 0.2265625, -1.33203125, 0.919921875, 0.449462890625, 0.1573486328125, -0.0099334716796875, 0.56494140625, -0.1444091796875, 1.234375, -0.1551513671875, -0.47802734375, 0.2763671875, -0.60546875, 0.148193359375, 0.19091796875, 0.1016845703125, 1.369140625, -0.25341796875, -0.19189453125, 0.318359375, -0.69287109375, -0.361328125, 0.01299285888671875, 0.6171875, 0.033935546875, 0.047393798828125, -0.399658203125, -0.1361083984375, 0.36376953125, -0.9423828125, -0.420166015625, 0.1895751953125, 0.6708984375, -0.75927734375, 0.21484375, -0.246826171875, 0.951171875, 0.548828125, -0.4892578125, 0.39453125, -0.2301025390625, -0.611328125, 0.736328125, 0.3720703125, 0.1373291015625, 0.176513671875, -1.1484375, 0.16845703125, -0.4345703125, 0.454833984375, -0.30615234375, -0.5283203125, -1.228515625, -0.186767578125]}
{"text": "my check engine light is on so is anyone available to check it out for me", "target": 109, "evaluation_predictions": [-0.51806640625, 0.2119140625, -0.4609375, 0.81103515625, -0.30712890625, -0.206298828125, -0.52880859375, -0.54248046875, 0.3759765625, -0.59375, 0.1375732421875, 0.0208587646484375, 0.5185546875, 0.841796875, -0.23583984375, 0.335205078125, -0.51904296875, 2.28515625, 0.3984375, 0.1673583984375, 0.29248046875, -0.611328125, -0.0858154296875, 0.53076171875, 0.222412109375, -0.366943359375, -0.72509765625, -0.08856201171875, 0.1732177734375, 0.218505859375, -0.40380859375, -1.541015625, 0.289794921875, -0.265380859375, 0.31787109375, -1.2724609375, -0.284423828125, 2.84375, 0.2115478515625, 0.29150390625, 0.6728515625, -0.81201171875, -0.427490234375, -0.51416015625, -0.25390625, 0.0775146484375, -0.67333984375, 2.115234375, 0.08319091796875, 0.057647705078125, -1.4541015625, -0.049652099609375, -0.11090087890625, -0.47509765625, -0.213134765625, -0.07647705078125, 0.71484375, -0.99267578125, -0.12054443359375, 0.05657958984375, -0.2418212890625, -0.50439453125, -0.541015625, -0.2388916015625, 0.64404296875, -0.08038330078125, 0.2265625, 0.578125, -0.08233642578125, 0.70849609375, 0.439453125, -1.185546875, -0.170654296875, -0.52587890625, -0.58740234375, 0.0394287109375, -0.5556640625, -0.77734375, -0.705078125, -0.1898193359375, -0.09210205078125, 0.77783203125, -0.306396484375, 0.153076171875, -0.2076416015625, 0.36279296875, -0.006916046142578125, 0.002166748046875, -0.2381591796875, -0.70263671875, 0.974609375, -0.65380859375, 0.12548828125, 0.1964111328125, -0.5869140625, 0.13037109375, 0.06494140625, 0.239990234375, 1.337890625, -0.81396484375, -0.0197906494140625, 0.47998046875, -0.1798095703125, -0.36962890625, -0.01015472412109375, -0.587890625, -0.181884765625, 0.480712890625, 1.3076171875, 0.323974609375, 0.3271484375, 0.58056640625, -0.56396484375, 0.039764404296875, -0.23779296875, -0.64111328125, -0.982421875, -0.274169921875, -0.342041015625, 0.20361328125, 0.13818359375, -0.5478515625, -0.451904296875, 1.9716796875, -0.427001953125, -0.263916015625, -0.50732421875, -1.03125, -0.430908203125, -0.00873565673828125, 0.71630859375, 9.890625, -0.270751953125, -0.353759765625, -0.798828125, -1.2685546875, 0.37890625, -0.7119140625, -0.5244140625, 0.177734375, 0.11932373046875, 0.5849609375, 0.66552734375, -0.193603515625, 0.2213134765625, 0.342041015625, -0.0184478759765625, 0.4912109375, -0.337890625, -0.5927734375, -0.50732421875]}
{"text": "i need more checkbooks mailed as soon as possible", "target": 82, "evaluation_predictions": [-0.06939697265625, -0.10003662109375, 0.079345703125, -0.1318359375, -1.1171875, 0.85400390625, 0.82080078125, -0.4765625, -0.034393310546875, 0.409912109375, -0.34521484375, -0.4404296875, 0.4375, -0.51708984375, -0.452880859375, -0.473388671875, 0.96435546875, -0.78173828125, -0.80078125, -0.1529541015625, 0.6337890625, 0.4111328125, -0.83447265625, -0.1619873046875, -0.17138671875, 0.62744140625, -0.13330078125, -0.32666015625, -1.435546875, -0.9423828125, 0.344482421875, -0.144287109375, 0.67138671875, 0.348876953125, -0.433837890625, 0.6669921875, -1.0888671875, 0.03271484375, 0.302734375, -0.89697265625, -0.4169921875, -0.463623046875, 0.310302734375, 0.2578125, 1.6875, 0.023284912109375, -0.41748046875, -0.350341796875, 0.48876953125, 1.046875, 1.052734375, -0.455322265625, -0.423828125, 0.41748046875, 1.25, -0.63671875, -0.0106048583984375, -0.319580078125, -0.51123046875, -0.429443359375, -0.274169921875, -1.2373046875, 0.265625, 0.8134765625, -1.0673828125, -0.3671875, -0.400390625, 0.67578125, 0.8505859375, 0.15771484375, 0.0179443359375, 0.7685546875, -1.0537109375, 0.92431640625, -0.137451171875, -0.262939453125, 0.6728515625, -1.158203125, -0.58837890625, 0.541015625, 0.4619140625, 0.077392578125, -1.123046875, -0.06494140625, 0.724609375, -1.2265625, 0.60107421875, 0.87353515625, -0.2315673828125, 0.5546875, 1.236328125, 1.3056640625, 1.1689453125, 0.434326171875, -0.6298828125, -0.2452392578125, 0.318603515625, -0.251708984375, -1.009765625, -0.48388671875, -0.3642578125, -0.448486328125, 0.61181640625, 0.724609375, -0.6435546875, 0.7216796875, -0.135009765625, -0.8681640625, 1.796875, -0.32763671875, 0.81689453125, 0.2003173828125, -1.212890625, -0.112060546875, -0.240966796875, -0.485107421875, -0.316162109375, -0.52734375, 0.05194091796875, -0.16455078125, -0.76025390625, -1.03515625, 0.8984375, -0.1978759765625, 0.62841796875, 0.685546875, 0.165283203125, 9.9375, -1.2939453125, -0.47705078125, -0.491943359375, -0.93994140625, 1.30078125, 1.4873046875, -0.73681640625, 0.364501953125, 0.5771484375, 0.2110595703125, -0.8486328125, -0.6728515625, -0.58740234375, -1.53125, -0.299072265625, 0.67333984375, -0.5244140625, -0.65869140625, 0.1939697265625, 0.27587890625, -0.01284027099609375, -0.9521484375, 0.0589599609375]}
{"text": "i watched \"were the millers\" on netflix last night", "target": 80, "evaluation_predictions": [2.78125, 1.0888671875, -0.43798828125, 0.469482421875, -0.4833984375, -0.4365234375, -0.382568359375, 1.62890625, -0.6689453125, 1.0078125, 0.4423828125, -0.9169921875, -0.75, -0.57275390625, -1.107421875, 0.325439453125, 0.9990234375, -0.5732421875, -0.07965087890625, -0.2169189453125, -0.67626953125, 0.6728515625, 0.1527099609375, -0.9990234375, 0.306396484375, -0.34130859375, 0.314697265625, -0.02496337890625, 0.08135986328125, -0.9951171875, -1.0849609375, 0.80712890625, 0.1300048828125, 1.1669921875, 0.79345703125, -0.396240234375, 0.7666015625, 0.75927734375, 0.08270263671875, -0.75439453125, -0.1943359375, -0.49609375, 10.1171875, -0.41162109375, -0.119140625, 0.090576171875, 1.3837890625, -0.99267578125, -0.136962890625, -1.1025390625, 0.7060546875, -1.57421875, 0.2203369140625, -0.25048828125, 0.6904296875, -0.60693359375, -0.36474609375, 0.03045654296875, 0.410400390625, 0.0100555419921875, -0.29248046875, -1.48046875, 0.513671875, 0.1239013671875, -0.408447265625, -0.428955078125, 0.546875, -0.346435546875, -0.0084075927734375, 0.5849609375, -0.91796875, 0.344482421875, -0.467041015625, 0.06817626953125, 1.4580078125, -0.9482421875, 0.5625, 0.1497802734375, -0.2403564453125, -1.208984375, 0.65283203125, 0.035736083984375, -0.12457275390625, 0.5458984375, 0.372314453125, 0.609375, -0.272216796875, -0.51123046875, -0.47265625, -0.414306640625, -0.01251220703125, -1.435546875, -0.1436767578125, 0.85498046875, -0.6904296875, 0.76025390625, 0.489013671875, 0.599609375, 0.444580078125, -0.2509765625, -0.646484375, -0.5859375, -0.0372314453125, -0.233154296875, 1.056640625, -1.0185546875, 1.3427734375, -0.6103515625, -0.027801513671875, -1.966796875, -0.1788330078125, -0.54296875, 1.5048828125, 0.3017578125, -0.45947265625, -0.265380859375, 0.1890869140625, -0.07757568359375, 0.077392578125, -0.2802734375, 0.470947265625, 0.6142578125, -0.237548828125, -0.1934814453125, 0.277587890625, -1.287109375, -0.6201171875, -0.276611328125, 0.06903076171875, 0.26513671875, -0.6123046875, -0.26025390625, -0.09832763671875, -0.490234375, -0.055206298828125, -0.82958984375, 0.053375244140625, -0.39892578125, 1.287109375, 0.05303955078125, -0.5595703125, 0.62451171875, 0.297607421875, -0.61328125, -1.6181640625, 0.669921875, -1.357421875, -0.28076171875, -0.59033203125, 0.82275390625, 0.48583984375]}
{"feat_bid": 161, "feat_is_aggregate": false, "feat_source": "pinkmonkey", "feat_chapter_path": "all_chapterized_books/161-chapters/12.txt", "feat_summary_path": "finished_summaries/pinkmonkey/Sense and Sensibility/section_11_part_0.txt", "feat_book_id": "Sense and Sensibility.chapter 12", "feat_summary_id": "chapter 12", "feat_content": null, "feat_summary": "{\"name\": \"Chapter 12\", \"url\": \"https://web.archive.org/web/20180820034609/http://www.pinkmonkey.com/booknotes/monkeynotes/pmSenseSensibility27.asp\", \"summary\": \"Mrs. Dashwood and her daughters are busy attending parties and balls. Marianne is in her element. She is overjoyed in the company of Willoughby, who showers much affection and attention on her. Elinor even feels left out at times. Deprived of friends of her own age, she is often thrown in the company of Mrs. Jennings and Lady Middleton. At such times she welcomes the presence of Colonel Brandon. Brandon often talks of Marianne and asks Elinor about her sister's preferences.\", \"analysis\": \"Notes Jane Austen paints the picture of an eighteenth-century upper middle-class society. The Dashwoods and Middletons are shown to be busy attending parties and balls. Their main occupation is socializing, and they take pleasure in entertaining people. Every young girl waits for a respectable young man to woo her, and her parents hope for a match between them. They lead a leisurely life, perhaps unusual to the modern reader. Marianne is exhilarated by the looks and manners of her lover. She does not care to understand his essential nature. Obsessed with Willoughby, she ignores Colonel Brandon and unconsciously hurts him. Blinded by her infatuation for Willoughby, she is not able to realize the worth of the Colonel or detect the intensity of his feelings. This chapter again emphasizes the difference in attitudes between Willoughby and Colonel Brandon. Both men are attracted to Marianne. Willoughby displays his affection by wooing Marianne, like a dashing hero would, while Colonel Brandon admires his lady love from a distance and silently hopes to win her favor. Willoughby is interested only in flirting with Marianne, but the Colonel, like a sincere person, looks forward to a lasting relationship. CHAPTER 12 Summary Marianne gets carried away by Willoughby's showy gestures. When he offers her a horse, she accepts it readily and talks about it to her sister. Elinor is shocked to learn this and asks Marianne to decline the offer, as it would prove too costly for them. Elinor observes Willoughby's behavior towards her sister and detects a note of intimacy in it. Margaret tells Elinor about her suspicion of an engagement between Marianne and Willoughby. Later, at Mrs. Jennings' insistence, Margaret gives a hint about Elinor's attachment to Edward, much to Elinor's embarrassment. Notes The chapter hints at the extent of the involvement of Marianne with Willoughby. Willoughby tries to impress Marianne by offering her a horse as a gift, and Marianne foolishly accepts the offer without giving a thought to the expenditure involved. Willoughby's superficiality and Marianne's gullibility are exposed in this episode. Chapter 12 also reveals the character of the youngest of the Dashwood girls. Margaret, one of the minor characters in the novel, is otherwise ignored by Austen. Only a few chapters give a glimpse into her personality. Margaret, like a typical teenager, gets excited over little things and jumps to conclusions easily. She derives pleasure from revealing secrets. She informs Elinor about the impending marriage between Marianne and Willoughby because she saw the young man taking a lock of hair from her sister . At the Park, she gives hints about the relationship between Elinor and Edward to Mrs. Jennings, much to the embarrassment of her sister. Like a reckless teenager, she is always in a hurry to impart information not meant to be disclosed publicly. CHAPTER 13 Summary Everyone is eagerly looking forward to their picnic at Whitewell. However, on the morning of the outing, a letter arrives for Colonel Brandon and alters the situation. The letter disturbs Brandon, and he informs the others about his decision to leave immediately for the town. The picnic is canceled, much to the disappointment of all, since it is not possible to proceed to Whitewell without the assistance of the Colonel. Sir John Middleton suggests that they should go for a ride in the carriage around the countryside. Marianne and Willoughby take a separate carriage. They visit Allenham on the sly. When Elinor learns about their visit, she is angry with Marianne for not observing the rules of propriety. Marianne justifies her action. Notes An element of suspense is introduced in this chapter. After the Colonel reads the letter, he turns grave and decides to leave for the town immediately. He evades the questions of Mrs. Jennings and declines to postpone his visit. After he leaves, Mrs. Jennings hints at the possibility of his visiting his illegitimate daughter, Miss Williams. Through this bit of information, Austen arouses the curiosity of the reader regarding the mysterious past of Colonel Brandon. Marianne and Willoughby are insensitive to the feelings of the Colonel and fail to sympathize with his plight. They criticize Brandon for spoiling the afternoon. Colonel Brandon comes across as a man in control of his emotions. Even though he is disturbed by the contents of the letter, he does not reveal his misery to others. Like a gentleman, he excuses himself from the party and bows to Marianne before taking his leave. His silence speaks volumes. The chapter relates one more incident which creates a clash between the good sense of Elinor and the sensibility of Marianne. Marianne makes a secret visit to Allenham with Willoughby but does not feel guilty about what she has done. Elinor's sense of decorum causes her to condemn her sister's actions, as she does not approve of Marianne's visiting a stranger's house with a man to whom she is not even engaged, at least not openly.\"}", "text": "\n\nAs Elinor and Marianne were walking together the next morning the\nlatter communicated a piece of news to her sister, which in spite of\nall that she knew before of Marianne's imprudence and want of thought,\nsurprised her by its extravagant testimony of both. Marianne told her,\nwith the greatest delight, that Willoughby had given her a horse, one\nthat he had bred himself on his estate in Somersetshire, and which was\nexactly calculated to carry a woman. Without considering that it was\nnot in her mother's plan to keep any horse, that if she were to alter\nher resolution in favour of this gift, she must buy another for the\nservant, and keep a servant to ride it, and after all, build a stable\nto receive them, she had accepted the present without hesitation, and\ntold her sister of it in raptures.\n\n\"He intends to send his groom into Somersetshire immediately for it,\"\nshe added, \"and when it arrives we will ride every day. You shall\nshare its use with me. Imagine to yourself, my dear Elinor, the\ndelight of a gallop on some of these downs.\"\n\nMost unwilling was she to awaken from such a dream of felicity to\ncomprehend all the unhappy truths which attended the affair; and for\nsome time she refused to submit to them. As to an additional servant,\nthe expense would be a trifle; Mama she was sure would never object to\nit; and any horse would do for HIM; he might always get one at the\npark; as to a stable, the merest shed would be sufficient. Elinor then\nventured to doubt the propriety of her receiving such a present from a\nman so little, or at least so lately known to her. This was too much.\n\n\"You are mistaken, Elinor,\" said she warmly, \"in supposing I know very\nlittle of Willoughby. I have not known him long indeed, but I am much\nbetter acquainted with him, than I am with any other creature in the\nworld, except yourself and mama. It is not time or opportunity that is\nto determine intimacy;--it is disposition alone. Seven years would be\ninsufficient to make some people acquainted with each other, and seven\ndays are more than enough for others. I should hold myself guilty of\ngreater impropriety in accepting a horse from my brother, than from\nWilloughby. Of John I know very little, though we have lived together\nfor years; but of Willoughby my judgment has long been formed.\"\n\nElinor thought it wisest to touch that point no more. She knew her\nsister's temper. Opposition on so tender a subject would only attach\nher the more to her own opinion. But by an appeal to her affection for\nher mother, by representing the inconveniences which that indulgent\nmother must draw on herself, if (as would probably be the case) she\nconsented to this increase of establishment, Marianne was shortly\nsubdued; and she promised not to tempt her mother to such imprudent\nkindness by mentioning the offer, and to tell Willoughby when she saw\nhim next, that it must be declined.\n\nShe was faithful to her word; and when Willoughby called at the\ncottage, the same day, Elinor heard her express her disappointment to\nhim in a low voice, on being obliged to forego the acceptance of his\npresent. The reasons for this alteration were at the same time\nrelated, and they were such as to make further entreaty on his side\nimpossible. His concern however was very apparent; and after\nexpressing it with earnestness, he added, in the same low voice,--\"But,\nMarianne, the horse is still yours, though you cannot use it now. I\nshall keep it only till you can claim it. When you leave Barton to\nform your own establishment in a more lasting home, Queen Mab shall\nreceive you.\"\n\nThis was all overheard by Miss Dashwood; and in the whole of the\nsentence, in his manner of pronouncing it, and in his addressing her\nsister by her Christian name alone, she instantly saw an intimacy so\ndecided, a meaning so direct, as marked a perfect agreement between\nthem. From that moment she doubted not of their being engaged to each\nother; and the belief of it created no other surprise than that she, or\nany of their friends, should be left by tempers so frank, to discover\nit by accident.\n\nMargaret related something to her the next day, which placed this\nmatter in a still clearer light. Willoughby had spent the preceding\nevening with them, and Margaret, by being left some time in the parlour\nwith only him and Marianne, had had opportunity for observations,\nwhich, with a most important face, she communicated to her eldest\nsister, when they were next by themselves.\n\n\"Oh, Elinor!\" she cried, \"I have such a secret to tell you about\nMarianne. I am sure she will be married to Mr. Willoughby very soon.\"\n\n\"You have said so,\" replied Elinor, \"almost every day since they first\nmet on High-church Down; and they had not known each other a week, I\nbelieve, before you were certain that Marianne wore his picture round\nher neck; but it turned out to be only the miniature of our great\nuncle.\"\n\n\"But indeed this is quite another thing. I am sure they will be\nmarried very soon, for he has got a lock of her hair.\"\n\n\"Take care, Margaret. It may be only the hair of some great uncle of\nHIS.\"\n\n\"But, indeed, Elinor, it is Marianne's. I am almost sure it is, for I\nsaw him cut it off. Last night after tea, when you and mama went out\nof the room, they were whispering and talking together as fast as could\nbe, and he seemed to be begging something of her, and presently he took\nup her scissors and cut off a long lock of her hair, for it was all\ntumbled down her back; and he kissed it, and folded it up in a piece of\nwhite paper; and put it into his pocket-book.\"\n\nFor such particulars, stated on such authority, Elinor could not\nwithhold her credit; nor was she disposed to it, for the circumstance\nwas in perfect unison with what she had heard and seen herself.\n\nMargaret's sagacity was not always displayed in a way so satisfactory\nto her sister. When Mrs. Jennings attacked her one evening at the\npark, to give the name of the young man who was Elinor's particular\nfavourite, which had been long a matter of great curiosity to her,\nMargaret answered by looking at her sister, and saying, \"I must not\ntell, may I, Elinor?\"\n\nThis of course made every body laugh; and Elinor tried to laugh too.\nBut the effort was painful. She was convinced that Margaret had fixed\non a person whose name she could not bear with composure to become a\nstanding joke with Mrs. Jennings.\n\nMarianne felt for her most sincerely; but she did more harm than good\nto the cause, by turning very red and saying in an angry manner to\nMargaret,\n\n\"Remember that whatever your conjectures may be, you have no right to\nrepeat them.\"\n\n\"I never had any conjectures about it,\" replied Margaret; \"it was you\nwho told me of it yourself.\"\n\nThis increased the mirth of the company, and Margaret was eagerly\npressed to say something more.\n\n\"Oh! pray, Miss Margaret, let us know all about it,\" said Mrs.\nJennings. \"What is the gentleman's name?\"\n\n\"I must not tell, ma'am. But I know very well what it is; and I know\nwhere he is too.\"\n\n\"Yes, yes, we can guess where he is; at his own house at Norland to be\nsure. He is the curate of the parish I dare say.\"\n\n\"No, THAT he is not. He is of no profession at all.\"\n\n\"Margaret,\" said Marianne with great warmth, \"you know that all this is\nan invention of your own, and that there is no such person in\nexistence.\"\n\n\"Well, then, he is lately dead, Marianne, for I am sure there was such\na man once, and his name begins with an F.\"\n\nMost grateful did Elinor feel to Lady Middleton for observing, at this\nmoment, \"that it rained very hard,\" though she believed the\ninterruption to proceed less from any attention to her, than from her\nladyship's great dislike of all such inelegant subjects of raillery as\ndelighted her husband and mother. The idea however started by her, was\nimmediately pursued by Colonel Brandon, who was on every occasion\nmindful of the feelings of others; and much was said on the subject of\nrain by both of them. Willoughby opened the piano-forte, and asked\nMarianne to sit down to it; and thus amidst the various endeavours of\ndifferent people to quit the topic, it fell to the ground. But not so\neasily did Elinor recover from the alarm into which it had thrown her.\n\nA party was formed this evening for going on the following day to see a\nvery fine place about twelve miles from Barton, belonging to a\nbrother-in-law of Colonel Brandon, without whose interest it could not\nbe seen, as the proprietor, who was then abroad, had left strict orders\non that head. The grounds were declared to be highly beautiful, and\nSir John, who was particularly warm in their praise, might be allowed\nto be a tolerable judge, for he had formed parties to visit them, at\nleast, twice every summer for the last ten years. They contained a\nnoble piece of water; a sail on which was to a form a great part of the\nmorning's amusement; cold provisions were to be taken, open carriages\nonly to be employed, and every thing conducted in the usual style of a\ncomplete party of pleasure.\n\nTo some few of the company it appeared rather a bold undertaking,\nconsidering the time of year, and that it had rained every day for the\nlast fortnight;--and Mrs. Dashwood, who had already a cold, was\npersuaded by Elinor to stay at home.\n\n\n", "feat_chapter_length": 1559.0, "feat_summary_name": "Chapter 12", "feat_summary_url": "https://web.archive.org/web/20180820034609/http://www.pinkmonkey.com/booknotes/monkeynotes/pmSenseSensibility27.asp", "target": "Mrs. Dashwood and her daughters are busy attending parties and balls. Marianne is in her element. She is overjoyed in the company of Willoughby, who showers much affection and attention on her. Elinor even feels left out at times. Deprived of friends of her own age, she is often thrown in the company of Mrs. Jennings and Lady Middleton. At such times she welcomes the presence of Colonel Brandon. Brandon often talks of Marianne and asks Elinor about her sister's preferences.", "feat_summary_analysis": "Notes Jane Austen paints the picture of an eighteenth-century upper middle-class society. The Dashwoods and Middletons are shown to be busy attending parties and balls. Their main occupation is socializing, and they take pleasure in entertaining people. Every young girl waits for a respectable young man to woo her, and her parents hope for a match between them. They lead a leisurely life, perhaps unusual to the modern reader. Marianne is exhilarated by the looks and manners of her lover. She does not care to understand his essential nature. Obsessed with Willoughby, she ignores Colonel Brandon and unconsciously hurts him. Blinded by her infatuation for Willoughby, she is not able to realize the worth of the Colonel or detect the intensity of his feelings. This chapter again emphasizes the difference in attitudes between Willoughby and Colonel Brandon. Both men are attracted to Marianne. Willoughby displays his affection by wooing Marianne, like a dashing hero would, while Colonel Brandon admires his lady love from a distance and silently hopes to win her favor. Willoughby is interested only in flirting with Marianne, but the Colonel, like a sincere person, looks forward to a lasting relationship. CHAPTER 12 Summary Marianne gets carried away by Willoughby's showy gestures. When he offers her a horse, she accepts it readily and talks about it to her sister. Elinor is shocked to learn this and asks Marianne to decline the offer, as it would prove too costly for them. Elinor observes Willoughby's behavior towards her sister and detects a note of intimacy in it. Margaret tells Elinor about her suspicion of an engagement between Marianne and Willoughby. Later, at Mrs. Jennings' insistence, Margaret gives a hint about Elinor's attachment to Edward, much to Elinor's embarrassment. Notes The chapter hints at the extent of the involvement of Marianne with Willoughby. Willoughby tries to impress Marianne by offering her a horse as a gift, and Marianne foolishly accepts the offer without giving a thought to the expenditure involved. Willoughby's superficiality and Marianne's gullibility are exposed in this episode. Chapter 12 also reveals the character of the youngest of the Dashwood girls. Margaret, one of the minor characters in the novel, is otherwise ignored by Austen. Only a few chapters give a glimpse into her personality. Margaret, like a typical teenager, gets excited over little things and jumps to conclusions easily. She derives pleasure from revealing secrets. She informs Elinor about the impending marriage between Marianne and Willoughby because she saw the young man taking a lock of hair from her sister . At the Park, she gives hints about the relationship between Elinor and Edward to Mrs. Jennings, much to the embarrassment of her sister. Like a reckless teenager, she is always in a hurry to impart information not meant to be disclosed publicly. CHAPTER 13 Summary Everyone is eagerly looking forward to their picnic at Whitewell. However, on the morning of the outing, a letter arrives for Colonel Brandon and alters the situation. The letter disturbs Brandon, and he informs the others about his decision to leave immediately for the town. The picnic is canceled, much to the disappointment of all, since it is not possible to proceed to Whitewell without the assistance of the Colonel. Sir John Middleton suggests that they should go for a ride in the carriage around the countryside. Marianne and Willoughby take a separate carriage. They visit Allenham on the sly. When Elinor learns about their visit, she is angry with Marianne for not observing the rules of propriety. Marianne justifies her action. Notes An element of suspense is introduced in this chapter. After the Colonel reads the letter, he turns grave and decides to leave for the town immediately. He evades the questions of Mrs. Jennings and declines to postpone his visit. After he leaves, Mrs. Jennings hints at the possibility of his visiting his illegitimate daughter, Miss Williams. Through this bit of information, Austen arouses the curiosity of the reader regarding the mysterious past of Colonel Brandon. Marianne and Willoughby are insensitive to the feelings of the Colonel and fail to sympathize with his plight. They criticize Brandon for spoiling the afternoon. Colonel Brandon comes across as a man in control of his emotions. Even though he is disturbed by the contents of the letter, he does not reveal his misery to others. Like a gentleman, he excuses himself from the party and bows to Marianne before taking his leave. His silence speaks volumes. The chapter relates one more incident which creates a clash between the good sense of Elinor and the sensibility of Marianne. Marianne makes a secret visit to Allenham with Willoughby but does not feel guilty about what she has done. Elinor's sense of decorum causes her to condemn her sister's actions, as she does not approve of Marianne's visiting a stranger's house with a man to whom she is not even engaged, at least not openly.", "feat_summary_length": 81.0, "feat_analysis_length": 819.0, "evaluation_predictions": [0, 37, 416, 1379, 6, 8, 192, 887, 33, 3214, 544, 5, 328, 817, 10149, 4515, 24, 2003, 2999, 969, 1891, 160, 3, 9, 126, 4952, 11, 255, 1845, 7, 34, 406, 29457, 5, 451, 9460, 7, 12, 1845, 48, 1876, 250, 255, 4054, 385, 81, 2003, 4607, 969, 117, 255, 19, 394, 801, 145, 1321, 1307, 16, 8, 296, 5, 451, 987, 7, 160, 4806, 59, 12, 752, 160, 2039, 483, 160, 1357, 10, 255, 405, 59, 241, 160, 2039, 12, 428, 376, 136, 540, 5, 451, 2065, 7, 12, 103, 78, 116, 255, 217, 7, 376, 541, 5, 366, 255, 5146, 234, 45, 112, 719, 6, 255, 3384, 7, 24, 79, 33, 5908, 5, 451, 669, 7, 24, 56, 4607, 969, 65, 1340, 326, 160, 1268, 298, 255, 11, 160, 2039, 130, 2508, 5, 451, 92, 817, 7, 160, 24, 255, 1509, 376, 1340, 326, 128, 13, 160, 1268, 227, 2198, 5, 451, 845, 24, 255, 141, 894, 376, 1340, 550, 30, 8, 337, 706, 116, 255, 11, 1347, 3912, 877, 91, 28, 135, 5, 216, 17387, 15, 26, 160, 223, 11, 23166, 34, 139, 112, 23525, 2567, 5, 86, 685, 6, 255, 317, 7, 255, 54, 31, 17, 1520, 160, 998, 5, 451, 744, 31, 17, 214, 125, 255, 31, 7, 1943, 42, 894, 6257, 5, 555, 239, 6, 8667, 5, 7851, 9416, 7, 6032, 160, 80, 2272, 57, 5188, 160, 8, 564, 13, 841, 113, 47, 160, 1305, 5, 94, 5050, 91, 24, 132, 31, 7, 150, 568, 16, 6831, 5, 451, 3337, 7, 491, 1063, 26, 149, 255, 228, 36, 10802, 26, 28, 8667, 5, 446, 9303, 7, 5, 100, 656, 921, 8719, 5, 451, 2347, 12603, 44, 16689, 21, 271, 396, 29773, 12, 497, 959, 72, 5, 451, 258, 1550, 12, 129, 3, 9, 1088, 12, 719, 3, 9, 786, 286, 1084, 1386, 17, 106, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"feat_bid": 110, "feat_is_aggregate": false, "feat_source": "gradesaver", "feat_chapter_path": "all_chapterized_books/110-chapters/20.txt", "feat_summary_path": "finished_summaries/gradesaver/Tess of the D'Urbervilles/section_2_part_5.txt", "feat_book_id": "Tess of the D'Urbervilles.chapter 20", "feat_summary_id": "chapter 20", "feat_content": null, "feat_summary": "{\"name\": \"Chapter 20\", \"url\": \"https://web.archive.org/web/20210410060617/https://www.gradesaver.com/tess-of-the-durbervilles/study-guide/summary-phase-3-chapters-16-24\", \"summary\": \"Tess had never in her recent life been so happy and would possibly never be so happy again. She and Tess stand between predilection and love. For Angel, Tess represents a visionary essence of woman, and calls her Artemis, Demeter, and other fanciful names, but she insists that he call her simply Tess. Tess seems to exhibit a dignified largeness of disposition and physique. The two are always the first to awake at the dairy house, where they feel an impressive isolation, as if they are Adam and Eve.\", \"analysis\": \"Hardy makes explicit that Tess's time at Talbothays dairy is an idyllic respite from her normal toil and hardship, yet states that this happiness will be short-lived, foreshadowing greater adversity for Tess Durbeyfield. Hardy compares Angel and Tess to Adam and Eve in the mornings, thus foreshadowing a later fall from perfection. It is the idealism and perfection that Tess finds at Talbothays that leads to this shaky foundation for her happiness; Angel Clare adores Tess as a representation of perfection. To Angel, Tess is a goddess such as Artemis or Demeter, a symbol of perfection rather than a person with obvious faults and foibles. There is a great irony in Angel's adoration for Tess; Angel exalts Tess as a goddess for her strength and disposition, yet this perfection comes from the adversity stemming from her greatest weakness\"}", "text": "\n\nThe season developed and matured. Another year's instalment of\nflowers, leaves, nightingales, thrushes, finches, and such ephemeral\ncreatures, took up their positions where only a year ago others had\nstood in their place when these were nothing more than germs and\ninorganic particles. Rays from the sunrise drew forth the buds and\nstretched them into long stalks, lifted up sap in noiseless streams,\nopened petals, and sucked out scents in invisible jets and\nbreathings.\n\nDairyman Crick's household of maids and men lived on comfortably,\nplacidly, even merrily. Their position was perhaps the happiest of\nall positions in the social scale, being above the line at which\nneediness ends, and below the line at which the _convenances_ begin\nto cramp natural feelings, and the stress of threadbare modishness\nmakes too little of enough.\n\nThus passed the leafy time when arborescence seems to be the one\nthing aimed at out of doors. Tess and Clare unconsciously studied\neach other, ever balanced on the edge of a passion, yet apparently\nkeeping out of it. All the while they were converging, under an\nirresistible law, as surely as two streams in one vale.\n\nTess had never in her recent life been so happy as she was now,\npossibly never would be so happy again. She was, for one thing,\nphysically and mentally suited among these new surroundings. The\nsapling which had rooted down to a poisonous stratum on the spot of\nits sowing had been transplanted to a deeper soil. Moreover she, and\nClare also, stood as yet on the debatable land between predilection\nand love; where no profundities have been reached; no reflections\nhave set in, awkwardly inquiring, \"Whither does this new current tend\nto carry me? What does it mean to my future? How does it stand\ntowards my past?\"\n\nTess was the merest stray phenomenon to Angel Clare as yet--a rosy,\nwarming apparition which had only just acquired the attribute of\npersistence in his consciousness. So he allowed his mind to be\noccupied with her, deeming his preoccupation to be no more than a\nphilosopher's regard of an exceedingly novel, fresh, and interesting\nspecimen of womankind.\n\nThey met continually; they could not help it. They met daily in that\nstrange and solemn interval, the twilight of the morning, in the\nviolet or pink dawn; for it was necessary to rise early, so very\nearly, here. Milking was done betimes; and before the milking came\nthe skimming, which began at a little past three. It usually fell\nto the lot of some one or other of them to wake the rest, the first\nbeing aroused by an alarm-clock; and, as Tess was the latest arrival,\nand they soon discovered that she could be depended upon not to sleep\nthough the alarm as others did, this task was thrust most frequently\nupon her. No sooner had the hour of three struck and whizzed,\nthan she left her room and ran to the dairyman's door; then up the\nladder to Angel's, calling him in a loud whisper; then woke her\nfellow-milkmaids. By the time that Tess was dressed Clare was\ndownstairs and out in the humid air. The remaining maids and the\ndairyman usually gave themselves another turn on the pillow, and did\nnot appear till a quarter of an hour later.\n\nThe gray half-tones of daybreak are not the gray half-tones of the\nday's close, though the degree of their shade may be the same. In\nthe twilight of the morning, light seems active, darkness passive;\nin the twilight of evening it is the darkness which is active and\ncrescent, and the light which is the drowsy reverse.\n\nBeing so often--possibly not always by chance--the first two persons\nto get up at the dairy-house, they seemed to themselves the first\npersons up of all the world. In these early days of her residence\nhere Tess did not skim, but went out of doors at once after rising,\nwhere he was generally awaiting her. The spectral, half-compounded,\naqueous light which pervaded the open mead impressed them with\na feeling of isolation, as if they were Adam and Eve. At this\ndim inceptive stage of the day Tess seemed to Clare to exhibit a\ndignified largeness both of disposition and physique, an almost\nregnant power, possibly because he knew that at that preternatural\ntime hardly any woman so well endowed in person as she was likely to\nbe walking in the open air within the boundaries of his horizon; very\nfew in all England. Fair women are usually asleep at mid-summer\ndawns. She was close at hand, and the rest were nowhere.\n\nThe mixed, singular, luminous gloom in which they walked along\ntogether to the spot where the cows lay often made him think of the\nResurrection hour. He little thought that the Magdalen might be\nat his side. Whilst all the landscape was in neutral shade his\ncompanion's face, which was the focus of his eyes, rising above the\nmist stratum, seemed to have a sort of phosphorescence upon it. She\nlooked ghostly, as if she were merely a soul at large. In reality\nher face, without appearing to do so, had caught the cold gleam of\nday from the north-east; his own face, though he did not think of\nit, wore the same aspect to her.\n\nIt was then, as has been said, that she impressed him most deeply.\nShe was no longer the milkmaid, but a visionary essence of woman--a\nwhole sex condensed into one typical form. He called her Artemis,\nDemeter, and other fanciful names half teasingly, which she did not\nlike because she did not understand them.\n\n\"Call me Tess,\" she would say askance; and he did.\n\nThen it would grow lighter, and her features would become simply\nfeminine; they had changed from those of a divinity who could confer\nbliss to those of a being who craved it.\n\nAt these non-human hours they could get quite close to the waterfowl.\nHerons came, with a great bold noise as of opening doors and\nshutters, out of the boughs of a plantation which they frequented at\nthe side of the mead; or, if already on the spot, hardily maintained\ntheir standing in the water as the pair walked by, watching them by\nmoving their heads round in a slow, horizontal, passionless wheel,\nlike the turn of puppets by clockwork.\n\nThey could then see the faint summer fogs in layers, woolly, level,\nand apparently no thicker than counterpanes, spread about the meadows\nin detached remnants of small extent. On the gray moisture of the\ngrass were marks where the cows had lain through the night--dark-green\nislands of dry herbage the size of their carcasses, in the general\nsea of dew. From each island proceeded a serpentine trail, by which\nthe cow had rambled away to feed after getting up, at the end of\nwhich trail they found her; the snoring puff from her nostrils, when\nshe recognized them, making an intenser little fog of her own amid\nthe prevailing one. Then they drove the animals back to the barton,\nor sat down to milk them on the spot, as the case might require.\n\nOr perhaps the summer fog was more general, and the meadows lay like\na white sea, out of which the scattered trees rose like dangerous\nrocks. Birds would soar through it into the upper radiance, and\nhang on the wing sunning themselves, or alight on the wet rails\nsubdividing the mead, which now shone like glass rods. Minute\ndiamonds of moisture from the mist hung, too, upon Tess's eyelashes,\nand drops upon her hair, like seed pearls. When the day grew quite\nstrong and commonplace these dried off her; moreover, Tess then\nlost her strange and ethereal beauty; her teeth, lips, and eyes\nscintillated in the sunbeams and she was again the dazzlingly fair\ndairymaid only, who had to hold her own against the other women of\nthe world.\n\nAbout this time they would hear Dairyman Crick's voice, lecturing the\nnon-resident milkers for arriving late, and speaking sharply to old\nDeborah Fyander for not washing her hands.\n\n\"For Heaven's sake, pop thy hands under the pump, Deb! Upon my soul,\nif the London folk only knowed of thee and thy slovenly ways, they'd\nswaller their milk and butter more mincing than they do a'ready; and\nthat's saying a good deal.\"\n\nThe milking progressed, till towards the end Tess and Clare, in\ncommon with the rest, could hear the heavy breakfast table dragged\nout from the wall in the kitchen by Mrs Crick, this being the\ninvariable preliminary to each meal; the same horrible scrape\naccompanying its return journey when the table had been cleared.\n\n\n", "feat_chapter_length": 1349.0, "feat_summary_name": "Chapter 20", "feat_summary_url": "https://web.archive.org/web/20210410060617/https://www.gradesaver.com/tess-of-the-durbervilles/study-guide/summary-phase-3-chapters-16-24", "target": "Tess had never in her recent life been so happy and would possibly never be so happy again. She and Tess stand between predilection and love. For Angel, Tess represents a visionary essence of woman, and calls her Artemis, Demeter, and other fanciful names, but she insists that he call her simply Tess. Tess seems to exhibit a dignified largeness of disposition and physique. The two are always the first to awake at the dairy house, where they feel an impressive isolation, as if they are Adam and Eve.", "feat_summary_analysis": "Hardy makes explicit that Tess's time at Talbothays dairy is an idyllic respite from her normal toil and hardship, yet states that this happiness will be short-lived, foreshadowing greater adversity for Tess Durbeyfield. Hardy compares Angel and Tess to Adam and Eve in the mornings, thus foreshadowing a later fall from perfection. It is the idealism and perfection that Tess finds at Talbothays that leads to this shaky foundation for her happiness; Angel Clare adores Tess as a representation of perfection. To Angel, Tess is a goddess such as Artemis or Demeter, a symbol of perfection rather than a person with obvious faults and foibles. There is a great irony in Angel's adoration for Tess; Angel exalts Tess as a goddess for her strength and disposition, yet this perfection comes from the adversity stemming from her greatest weakness", "feat_summary_length": 89.0, "feat_analysis_length": 138.0, "evaluation_predictions": [0, 37, 774, 13919, 11, 10281, 7, 5, 328, 619, 30, 16725, 6, 3, 9, 207, 1102, 16, 8, 569, 358, 5, 328, 33, 373, 44, 8, 3023, 13, 333, 117, 79, 31, 60, 59, 417, 125, 12, 103, 81, 34, 5, 328, 942, 1444, 334, 239, 116, 79, 7178, 95, 778, 5, 366, 79, 129, 17101, 6, 79, 217, 24, 255, 19, 46, 10933, 2335, 113, 1416, 13909, 120, 38, 3, 99, 132, 130, 3, 9, 13759, 44, 508, 5, 451, 1330, 12, 43, 2130, 45, 160, 23567, 485, 113, 54, 11323, 26078, 12, 841, 113, 15147, 34, 5, 486, 48, 97, 6, 79, 54, 217, 8, 1248, 20735, 7, 3060, 300, 8, 140, 9, 1846, 7, 5, 94, 31, 7, 1134, 964, 24, 66, 8, 3702, 904, 369, 1480, 21, 70, 3702, 53, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"feat_bid": 1232, "feat_is_aggregate": false, "feat_source": "shmoop", "feat_chapter_path": "all_chapterized_books/1232-chapters/09.txt", "feat_summary_path": "finished_summaries/shmoop/The Prince/section_9_part_0.txt", "feat_book_id": "The Prince.chapter 9", "feat_summary_id": "chapter 9", "feat_content": null, "feat_summary": "{\"name\": \"Chapter 9\", \"url\": \"https://web.archive.org/web/20210420060055/https://www.shmoop.com/study-guides/literature/prince-machiavelli/summary/chapter-9\", \"summary\": \"Rulers that come to power because of the support of the people are the total opposite of bloody conquers. Everyone loves 'em. They're not too smart, or even extra lucky, but just enough to get by. Our new ruler has three options for his new place: a monarchy where power goes to the nobles, a republic where power goes to the people, and anarchy. In monarchies, either the nobles or the people decide to concentrate all the power in one person, the king. Seems simple enough, but a king who comes to power because of the nobles will have a hard time. After all, the nobles have lots of power to throw around, too. Remember, you don't want anyone who can compete with you around, and these are the people with the weapons. What are the regular people going to do to you? Poke you with their potatoes? Bottom line: be friends with the people, because the nobles have too many tricks up their sleeves. More on nobles. There are two kinds, those who are totally 100% loyally part of your fan club and those who aren't. Out of those who aren't, there are two kinds. Those who are just scaredy-cats , and those who are planning something. The latter are the ones to watch out for because they will turn on you at the drop of a hat. Okay, back to the people. You need to be on their side. It's pretty easy, actually, because they basically just don't want to be oppressed and tortured. Also, if they thought you were going to be super mean, and you turn out to be okay, they will love you even more than if they loved you from the start. They're easy to please. Some people say that it's a bad idea to depend on the support of the people. Machiavelli just doesn't agree--he says that's only the case if you're stupid and think they'll fight for you or rescue you. That's not going to happen. But they can support you and not turn against you. Problems for the ruler supported by the people? When they want to become an absolute ruler, they need either give direct command or rule though other people who they give power to. The problem is, these people aren't always the most trustworthy--before you know it, everything is up in flames. So, make sure your people always need not only your government , but you specifically, and everything will be okay.\", \"analysis\": \"\"}", "text": "\nBut coming to the other point--where a leading citizen becomes the\nprince of his country, not by wickedness or any intolerable violence,\nbut by the favour of his fellow citizens--this may be called a civil\nprincipality: nor is genius or fortune altogether necessary to attain to\nit, but rather a happy shrewdness. I say then that such a principality\nis obtained either by the favour of the people or by the favour of the\nnobles. Because in all cities these two distinct parties are found,\nand from this it arises that the people do not wish to be ruled nor\noppressed by the nobles, and the nobles wish to rule and oppress the\npeople; and from these two opposite desires there arises in cities one\nof three results, either a principality, self-government, or anarchy.\n\nA principality is created either by the people or by the nobles,\naccordingly as one or other of them has the opportunity; for the nobles,\nseeing they cannot withstand the people, begin to cry up the reputation\nof one of themselves, and they make him a prince, so that under his\nshadow they can give vent to their ambitions. The people, finding\nthey cannot resist the nobles, also cry up the reputation of one of\nthemselves, and make him a prince so as to be defended by his authority.\nHe who obtains sovereignty by the assistance of the nobles maintains\nhimself with more difficulty than he who comes to it by the aid of\nthe people, because the former finds himself with many around him who\nconsider themselves his equals, and because of this he can neither rule\nnor manage them to his liking. But he who reaches sovereignty by popular\nfavour finds himself alone, and has none around him, or few, who are not\nprepared to obey him.\n\nBesides this, one cannot by fair dealing, and without injury to others,\nsatisfy the nobles, but you can satisfy the people, for their object is\nmore righteous than that of the nobles, the latter wishing to oppress,\nwhile the former only desire not to be oppressed. It is to be added also\nthat a prince can never secure himself against a hostile people, because\nof there being too many, whilst from the nobles he can secure himself,\nas they are few in number. The worst that a prince may expect from a\nhostile people is to be abandoned by them; but from hostile nobles he\nhas not only to fear abandonment, but also that they will rise against\nhim; for they, being in these affairs more far-seeing and astute, always\ncome forward in time to save themselves, and to obtain favours from him\nwhom they expect to prevail. Further, the prince is compelled to live\nalways with the same people, but he can do well without the same nobles,\nbeing able to make and unmake them daily, and to give or take away\nauthority when it pleases him.\n\nTherefore, to make this point clearer, I say that the nobles ought to\nbe looked at mainly in two ways: that is to say, they either shape their\ncourse in such a way as binds them entirely to your fortune, or they do\nnot. Those who so bind themselves, and are not rapacious, ought to be\nhonoured and loved; those who do not bind themselves may be dealt\nwith in two ways; they may fail to do this through pusillanimity and a\nnatural want of courage, in which case you ought to make use of them,\nespecially of those who are of good counsel; and thus, whilst in\nprosperity you honour them, in adversity you do not have to fear them.\nBut when for their own ambitious ends they shun binding themselves, it\nis a token that they are giving more thought to themselves than to you,\nand a prince ought to guard against such, and to fear them as if they\nwere open enemies, because in adversity they always help to ruin him.\n\nTherefore, one who becomes a prince through the favour of the people\nought to keep them friendly, and this he can easily do seeing they\nonly ask not to be oppressed by him. But one who, in opposition to\nthe people, becomes a prince by the favour of the nobles, ought, above\neverything, to seek to win the people over to himself, and this he may\neasily do if he takes them under his protection. Because men, when they\nreceive good from him of whom they were expecting evil, are bound more\nclosely to their benefactor; thus the people quickly become more devoted\nto him than if he had been raised to the principality by their favours;\nand the prince can win their affections in many ways, but as these vary\naccording to the circumstances one cannot give fixed rules, so I omit\nthem; but, I repeat, it is necessary for a prince to have the people\nfriendly, otherwise he has no security in adversity.\n\nNabis,() Prince of the Spartans, sustained the attack of all Greece,\nand of a victorious Roman army, and against them he defended his country\nand his government; and for the overcoming of this peril it was only\nnecessary for him to make himself secure against a few, but this would\nnot have been sufficient had the people been hostile. And do not let any\none impugn this statement with the trite proverb that \"He who builds on\nthe people, builds on the mud,\" for this is true when a private citizen\nmakes a foundation there, and persuades himself that the people will\nfree him when he is oppressed by his enemies or by the magistrates;\nwherein he would find himself very often deceived, as happened to the\nGracchi in Rome and to Messer Giorgio Scali(+) in Florence. But granted\na prince who has established himself as above, who can command, and is\na man of courage, undismayed in adversity, who does not fail in other\nqualifications, and who, by his resolution and energy, keeps the whole\npeople encouraged--such a one will never find himself deceived in them,\nand it will be shown that he has laid his foundations well.\n\n () Nabis, tyrant of Sparta, conquered by the Romans under\n Flamininus in 195 B.C.; killed 192 B.C.\n\n (+) Messer Giorgio Scali. This event is to be found in\n Machiavelli's \"Florentine History,\" Book III.\n\nThese principalities are liable to danger when they are passing from the\ncivil to the absolute order of government, for such princes either rule\npersonally or through magistrates. In the latter case their government\nis weaker and more insecure, because it rests entirely on the goodwill\nof those citizens who are raised to the magistracy, and who, especially\nin troubled times, can destroy the government with great ease, either\nby intrigue or open defiance; and the prince has not the chance amid\ntumults to exercise absolute authority, because the citizens and\nsubjects, accustomed to receive orders from magistrates, are not of\na mind to obey him amid these confusions, and there will always be in\ndoubtful times a scarcity of men whom he can trust. For such a prince\ncannot rely upon what he observes in quiet times, when citizens have\nneed of the state, because then every one agrees with him; they all\npromise, and when death is far distant they all wish to die for him;\nbut in troubled times, when the state has need of its citizens, then\nhe finds but few. And so much the more is this experiment dangerous,\ninasmuch as it can only be tried once. Therefore a wise prince ought to\nadopt such a course that his citizens will always in every sort and\nkind of circumstance have need of the state and of him, and then he will\nalways find them faithful.\n\n\n\n", "feat_chapter_length": 1217.0, "feat_summary_name": "Chapter 9", "feat_summary_url": "https://web.archive.org/web/20210420060055/https://www.shmoop.com/study-guides/literature/prince-machiavelli/summary/chapter-9", "target": "Rulers that come to power because of the support of the people are the total opposite of bloody conquers. Everyone loves 'em. They're not too smart, or even extra lucky, but just enough to get by. Our new ruler has three options for his new place: a monarchy where power goes to the nobles, a republic where power goes to the people, and anarchy. In monarchies, either the nobles or the people decide to concentrate all the power in one person, the king. Seems simple enough, but a king who comes to power because of the nobles will have a hard time. After all, the nobles have lots of power to throw around, too. Remember, you don't want anyone who can compete with you around, and these are the people with the weapons. What are the regular people going to do to you? Poke you with their potatoes? Bottom line: be friends with the people, because the nobles have too many tricks up their sleeves. More on nobles. There are two kinds, those who are totally 100% loyally part of your fan club and those who aren't. Out of those who aren't, there are two kinds. Those who are just scaredy-cats , and those who are planning something. The latter are the ones to watch out for because they will turn on you at the drop of a hat. Okay, back to the people. You need to be on their side. It's pretty easy, actually, because they basically just don't want to be oppressed and tortured. Also, if they thought you were going to be super mean, and you turn out to be okay, they will love you even more than if they loved you from the start. They're easy to please. Some people say that it's a bad idea to depend on the support of the people. Machiavelli just doesn't agree--he says that's only the case if you're stupid and think they'll fight for you or rescue you. That's not going to happen. But they can support you and not turn against you. Problems for the ruler supported by the people? When they want to become an absolute ruler, they need either give direct command or rule though other people who they give power to. The problem is, these people aren't always the most trustworthy--before you know it, everything is up in flames. So, make sure your people always need not only your government , but you specifically, and everything will be okay.", "feat_summary_analysis": null, "feat_summary_length": 414.0, "feat_analysis_length": 1.0, "evaluation_predictions": [0, 37, 3, 29, 291, 52, 1016, 817, 7, 178, 24, 8, 3218, 485, 13, 112, 684, 19, 5105, 893, 190, 8, 4971, 13, 8, 151, 3701, 57, 8, 14499, 5, 216, 845, 24, 48, 19, 3, 9, 207, 3, 7, 13296, 120, 655, 6, 68, 59, 38, 3, 9, 1095, 96, 7, 13296, 26, 18154, 535, 86, 66, 3119, 6, 80, 133, 36, 3, 179, 12, 22417, 42, 22566, 8, 151, 250, 79, 1178, 8891, 135, 5, 37, 17243, 7, 11, 8, 151, 33, 5241, 12, 12676, 95, 70, 4948, 21, 80, 430, 11, 143, 376, 46, 22277, 78, 24, 365, 165, 8552, 79, 54, 462, 9370, 12, 70, 17091, 15147, 5, 37, 1076, 113, 3442, 29139, 57, 8, 3052, 45, 8, 17243, 904, 1961, 1452, 28, 72, 10308, 145, 3, 88, 116, 639, 12, 34, 1009, 8, 199, 13, 8, 2449, 5, 328, 253, 2448, 2238, 6, 578, 5839, 300, 376, 42, 360, 113, 33, 59, 1065, 12, 24375, 376, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"feat_bid": 23042, "feat_is_aggregate": false, "feat_source": "sparknotes", "feat_chapter_path": "all_chapterized_books/23042-chapters/4.txt", "feat_summary_path": "finished_summaries/sparknotes/The Tempest/section_4_part_0.txt", "feat_book_id": "The Tempest.act ii.scene ii", "feat_summary_id": "act ii, scene ii", "feat_content": null, "feat_summary": "{\"name\": \"Act II, scene ii\", \"url\": \"https://web.archive.org/web/20210131162607/https://www.sparknotes.com/shakespeare/tempest/section5/\", \"summary\": \"Caliban enters with a load of wood, and thunder sounds in the background. Caliban curses and describes the torments that Prospero's spirits subject him to: they pinch, bite, and prick him, especially when he curses. As he is thinking of these spirits, Caliban sees Trinculo and imagines him to be one of the spirits. Hoping to avoid pinching, he lies down and covers himself with his cloak. Trinculo hears the thunder and looks about for some cover from the storm. The only thing he sees is the cloak-covered Caliban on the ground. He is not so much repulsed by Caliban as curious. He cannot decide whether Caliban is a \\\"man or a fish\\\" . He thinks of a time when he traveled to England and witnessed freak-shows there. Caliban, he thinks, would bring him a lot of money in England. Thunder sounds again and Trinculo decides that the best shelter in sight is beneath Caliban's cloak, and so he joins the man-monster there. Stephano enters singing and drinking. He hears Caliban cry out to Trinculo, \\\"Do not torment me! O!\\\" . Hearing this and seeing the four legs sticking out from the cloak, Stephano thinks the two men are a four-legged monster with a fever. He decides to relieve this fever with a drink. Caliban continues to resist Trinculo, whom he still thinks is a spirit tormenting him. Trinculo recognizes Stephano's voice and says so. Stephano, of course, assumes for a moment that the monster has two heads, and he promises to pour liquor in both mouths. Trinculo now calls out to Stephano, and Stephano pulls his friend out from under the cloak. While the two men discuss how they arrived safely on shore, Caliban enjoys the liquor and begs to worship Stephano. The men take full advantage of Caliban's drunkenness, mocking him as a \\\"most ridiculous monster\\\" as he promises to lead them around and show them the isle.\", \"analysis\": \"Analysis Trinculo and Stephano are the last new characters to be introduced in the play. They act as comic foils to the main action, and will in later acts become specific parodies of Antonio and Sebastian. At this point, their role is to present comically some of the more serious issues in the play concerning Prospero and Caliban. In Act I, scene ii, Prospero calls Caliban a \\\"slave\\\" , \\\"thou earth\\\" , \\\"Filth\\\" , and \\\"Hag-seed\\\" . Stephano and Trinculo's epithet of choice in Act II, scene ii and thereafter is \\\"monster.\\\" But while these two make quite clear that Caliban is seen as less than human by the Europeans on the island, they also treat him more humanely than Prospero does. Stephano and Trinculo, a butler and a jester respectively, remain at the low end of the social scale in the play, and have little difficulty finding friendship with the strange islander they meet. \\\" Misery acquaints a man with strange bedfellows,\\\" says Trinculo , and then hastens to crawl beneath Caliban's garment in order to get out of the rain. The similarity, socially and perhaps physically as well, between Trinculo and Caliban is further emphasized when Stephano, drunk, initially mistakes the two for a single monster: \\\"This is some monster of the isle with four legs\\\" . More important than the emphasis on the way in which Caliban seems to others more monster than man, is the way in which this scene dramatizes the initial encounter between an almost completely isolated, \\\"primitive\\\" culture and a foreign, \\\"civilized\\\" one. The reader discovers during Caliban and Prospero's confrontation in Act I, scene ii that Prospero initially \\\"made much of\\\" Caliban ; that he gave Caliban \\\"Water with berries in't\\\" ; that Caliban showed him around the island; and that Prospero later imprisoned Caliban, after he had taken all he could take from him. The reader can see these events in Act II, scene ii, with Trinculo and Stephano in the place of Prospero. Stephano calls Caliban a \\\"brave monster,\\\" as they set off singing around the island. In addition, Stephano and Trinculo give Caliban wine, which Caliban finds to be a \\\"celestial liquor\\\" . Moreover, Caliban initially mistakes Stephano and Trinculo for Prospero's spirits, but alcohol convinces him that Stephano is a \\\"brave god\\\" and decides unconditionally to \\\"kneel to him\\\" . This scene shows the foreign, civilized culture as decadent and manipulative: Stephano immediately plans to \\\"inherit\\\" the island , using Caliban to show him all its virtues. Stephano and Trinculo are a grotesque, parodic version of Prospero upon his arrival twelve years ago. Godlike in the eyes of the native, they slash and burn their way to power. By this point, Caliban has begun to resemble a parody of himself. Whereas he would \\\"gabble like / A thing most brutish\\\" upon Prospero's arrival, because he did not know language, he now is willfully inarticulate in his drunkenness. Immediately putting aside his fear that these men are spirits sent to do him harm, Caliban puts his trust in them for all the wrong reasons. What makes Caliban's behavior in this scene so tragic is that we might expect him, especially after his eloquent curses of Prospero in Act I, scene ii, to know better.\"}", "text": "SCENE II.\n\n_Another part of the island._\n\n _Enter CALIBAN with a burden of wood. A noise of thunder heard._\n\n_Cal._ All the infections that the sun sucks up\nFrom bogs, fens, flats, on Prosper fall, and make him\nBy inch-meal a disease! His spirits hear me,\nAnd yet I needs must curse. But they'll nor pinch,\nFright me with urchin-shows, pitch me i' the mire, 5\nNor lead me, like a firebrand, in the dark\nOut of my way, unless he bid 'em: but\nFor every trifle are they set upon me;\nSometime like apes, that mow and chatter at me,\nAnd after bite me; then like hedgehogs, which 10\nLie tumbling in my barefoot way, and mount\nTheir pricks at my footfall; sometime am I\nAll wound with adders, who with cloven tongues\nDo hiss me into madness.\n\n _Enter TRINCULO._\n\n Lo, now, lo!\nHere comes a spirit of his, and to torment me 15\nFor bringing wood in slowly. I'll fall flat;\nPerchance he will not mind me.\n\n_Trin._ Here's neither bush nor shrub, to bear off any\nweather at all, and another storm brewing; I hear it sing i'\nthe wind: yond same black cloud, yond huge one, looks 20\nlike a foul bombard that would shed his liquor. If it should\nthunder as it did before, I know not where to hide my head:\nyond same cloud cannot choose but fall by pailfuls. What\nhave we here? a man or a fish? dead or alive? A fish: he\nsmells like a fish; a very ancient and fish-like smell; a kind 25\nof not of the newest Poor-John. A strange fish! Were I\nin England now, as once I was, and had but this fish\npainted, not a holiday fool there but would give a piece of\nsilver: there would this monster make a man; any strange\nbeast there makes a man: when they will not give a doit to 30\nrelieve a lame beggar, they will lay out ten to see a dead\nIndian. Legged like a man! and his fins like arms! Warm\no' my troth! I do now let loose my opinion; hold it no\nlonger: this is no fish, but an islander, that hath lately\nsuffered by a thunderbolt. [_Thunder._] Alas, the storm is come 35\nagain! my best way is to creep under his gaberdine; there\nis no other shelter hereabout: misery acquaints a man with\nstrange bed-fellows. I will here shroud till the dregs of the\nstorm be past.\n\n _Enter STEPHANO, singing: a bottle in his hand._\n\n_Ste._ I shall no more to sea, to sea, 40\n Here shall I die a-shore,--\n\nThis is a very scurvy tune to sing at a man's funeral: well,\nhere's my comfort. [_Drinks._\n\n\n[_Sings._ The master, the swabber, the boatswain, and I,\n The gunner, and his mate, 45\n Loved Mall, Meg, and Marian, and Margery,\n But none of us cared for Kate;\n For she had a tongue with a tang,\n Would cry to a sailor, Go hang!\n She loved not the savour of tar nor of pitch; 50\n Yet a tailor might scratch her where'er she did itch.\n Then, to sea, boys, and let her go hang!\n\nThis is a scurvy tune too: but here's my comfort. [_Drinks._\n\n_Cal._ Do not torment me:--O!\n\n_Ste._ What's the matter? Have we devils here? Do 55\nyou put tricks upon 's with savages and men of Ind, ha? I\nhave not scaped drowning, to be afeard now of your four\nlegs; for it hath been said, As proper a man as ever went\non four legs cannot make him give ground; and it shall be\nsaid so again, while Stephano breathes at's nostrils. 60\n\n_Cal._ The spirit torments me:--O!\n\n_Ste._ This is some monster of the isle with four legs, who\nhath got, as I take it, an ague. Where the devil should he\nlearn our language? I will give him some relief, if it be\nbut for that. If I can recover him, and keep him tame, and 65\nget to Naples with him, he's a present for any emperor that\never trod on neat's-leather.\n\n_Cal._ Do not torment me, prithee; I'll bring my wood\nhome faster.\n\n_Ste._ He's in his fit now, and does not talk after the 70\nwisest. He shall taste of my bottle: if he have never drunk\nwine afore, it will go near to remove his fit. If I can recover\nhim, and keep him tame, I will not take too much for\nhim; he shall pay for him that hath him, and that soundly.\n\n_Cal._ Thou dost me yet but little hurt; thou wilt anon, I 75\nknow it by thy trembling: now Prosper works upon thee.\n\n_Ste._ Come on your ways; open your mouth; here is that\nwhich will give language to you, cat: open your mouth; this\nwill shake your shaking, I can tell you, and that soundly:\nyou cannot tell who's your friend: open your chaps again. 80\n\n_Trin._ I should know that voice: it should be--but he\nis drowned; and these are devils:--O defend me!\n\n_Ste._ Four legs and two voices,--a most delicate monster!\nHis forward voice, now, is to speak well of his friend;\nhis backward voice is to utter foul speeches and to detract. 85\nIf all the wine in my bottle will recover him, I will help\nhis ague. Come:--Amen! I will pour some in thy other\nmouth.\n\n_Trin._ Stephano!\n\n_Ste._ Doth thy other mouth call me? Mercy, mercy! 90\nThis is a devil, and no monster: I will leave him; I have\nno long spoon.\n\n_Trin._ Stephano! If thou beest Stephano, touch me,\nand speak to me; for I am Trinculo,--be not afeard,--thy\ngood friend Trinculo. 95\n\n_Ste._ If thou beest Trinculo, come forth: I'll pull thee\nby the lesser legs: if any be Trinculo's legs, these are they.\nThou art very Trinculo indeed! How earnest thou to be\nthe siege of this moon-calf? can he vent Trinculos?\n\n_Trin._ I took him to be killed with a thunder-stroke. 100\nBut art thou not drowned, Stephano? I hope, now, thou\nart not drowned. Is the storm overblown? I hid me\nunder the dead moon-calf's gaberdine for fear of the storm.\nAnd art thou living, Stephano? O Stephano, two Neapolitans\nscaped! 105\n\n_Ste._ Prithee, do not turn me about; my stomach is not\nconstant.\n\n_Cal._ [_aside_] These be fine things, an if they be not sprites.\nThat's a brave god, and bears celestial liquor:\nI will kneel to him. 110\n\n_Ste._ How didst thou 'scape? How camest thou hither?\nswear, by this bottle, how thou camest hither. I escaped\nupon a butt of sack, which the sailors heaved o'erboard, by\nthis bottle! which I made of the bark of a tree with mine\nown hands, since I was cast ashore. 115\n\n_Cal._ I'll swear, upon that bottle, to be thy true subject;\nfor the liquor is not earthly.\n\n_Ste._ Here; swear, then, how thou escapedst.\n\n_Trin._ Swum ashore, man, like a duck: I can swim\nlike a duck, I'll be sworn. 120\n\n_Ste._ Here, kiss the book. Though thou canst swim\nlike a duck, thou art made like a goose.\n\n_Trin._ O Stephano, hast any more of this?\n\n_Ste._ The whole butt, man: my cellar is in a rock by\nthe sea-side, where my wine is hid. How now, moon-calf! 125\nhow does thine ague?\n\n_Cal._ Hast thou not dropp'd from heaven?\n\n_Ste._ Out o' the moon, I do assure thee: I was the man\ni' the moon when time was.\n\n_Cal._ I have seen thee in her, and I do adore thee: 130\nMy mistress show'd me thee, and thy dog, and thy bush.\n\n_Ste._ Come, swear to that; kiss the book: I will furnish\nit anon with new contents: swear.\n\n_Trin._ By this good light, this is a very shallow monster!\nI afeard of him! A very weak monster! The 135\nman i' the moon! A most poor credulous monster! Well\ndrawn, monster, in good sooth!\n\n_Cal._ I'll show thee every fertile inch o' th' island;\nAnd I will kiss thy foot: I prithee, be my god.\n\n_Trin._ By this light, a most perfidious and drunken 140\nmonster! when's god's asleep, he'll rob his bottle.\n\n_Cal._ I'll kiss thy foot; I'll swear myself thy subject.\n\n_Ste._ Come on, then; down, and swear.\n\n_Trin._ I shall laugh myself to death at this puppy-headed\nmonster. A most scurvy monster! I could find in 145\nmy heart to beat him,--\n\n_Ste._ Come, kiss.\n\n_Trin._ But that the poor monster's in drink: an abominable\nmonster!\n\n_Cal._ I'll show thee the best springs; I'll pluck thee berries; 150\nI'll fish for thee, and get thee wood enough.\nA plague upon the tyrant that I serve!\nI'll bear him no more sticks, but follow thee,\nThou wondrous man.\n\n_Trin._ A most ridiculous monster, to make a wonder 155\nof a poor drunkard!\n\n_Cal._ I prithee, let me bring thee where crabs grow;\nAnd I with my long nails will dig thee pig-nuts;\nShow thee a jay's nest, and instruct thee how\nTo snare the nimble marmoset; I'll bring thee 160\nTo clustering filberts, and sometimes I'll get thee\nYoung scamels from the rock. Wilt thou go with me?\n\n_Ste._ I prithee now, lead the way, without any more\ntalking. Trinculo, the king and all our company else being\ndrowned, we will inherit here: here; bear my bottle: fellow 165\nTrinculo, we'll fill him by and by again.\n\n_Cal. sings drunkenly._] Farewell, master; farewell, farewell!\n\n_Trin._ A howling monster; a drunken monster!\n\n_Cal._ No more dams I'll make for fish;\n Nor fetch in firing 170\n At requiring;\n Nor scrape trencher, nor wash dish:\n 'Ban, 'Ban, Cacaliban\n Has a new master:--get a new man.\n\nFreedom, hey-day! hey-day, freedom! freedom, hey-day, 175\nfreedom!\n\n_Ste._ O brave monster! Lead the way. [_Exeunt._\n\n\n Notes: II, 2.\n\n 4: _nor_] F1 F2. _not_ F3 F4.\n 15: _and_] _now_ Pope. _sent_ Edd. conj. (so Dryden).\n 21: _foul_] _full_ Upton conj.\n 35: [Thunder] Capell.\n 38: _dregs_] _drench_ Collier MS.\n 40: SCENE III. Pope.\n [a bottle in his hand] Capell.]\n 46: _and Marian_] _Mirian_ Pope.\n 56: _savages_] _salvages_ Ff.\n 60: _at's nostrils_] Edd. _at 'nostrils_ F1. _at nostrils_ F2 F3 F4.\n _at his nostrils_ Pope.\n 78: _you, cat_] _you Cat_ Ff. _a cat_ Hanmer. _your cat_ Edd. conj.\n 84: _well_] F1 om. F2 F3 F4.\n 115, 116: Steevens prints as verse, _I'll ... thy True ... earthly._\n 118: _swear, then, how thou escapedst_] _swear then: how escapedst\n thou?_ Pope.\n 119: _Swum_] _Swom_ Ff.\n 131: _and thy dog, and thy bush_] _thy dog and bush_ Steevens.\n 133: _new_] F1. _the new_ F2 F3 F4.\n 135: _weak_] F1. _shallow_ F2 F3 F4.\n 138: _island_] F1. _isle_ F2 F3 F4.\n 150-154, 157-162, printed as verse by Pope (after Dryden).\n 162: _scamels_] _shamois_ Theobald. _seamalls, stannels_ id. conj.\n 163: Ste.] F1. Cal. F2 F3 F4.\n 165: Before _here; bear my bottle_ Capell inserts [To Cal.].\n See note (XII).\n 172: _trencher_] Pope (after Dryden). _trenchering_ Ff.\n 175: _hey-day_] Rowe. _high-day_ Ff.\n\n\n\n\n\n", "feat_chapter_length": 2642.0, "feat_summary_name": "Act II, scene ii", "feat_summary_url": "https://web.archive.org/web/20210131162607/https://www.sparknotes.com/shakespeare/tempest/section5/", "target": "Caliban enters with a load of wood, and thunder sounds in the background. Caliban curses and describes the torments that Prospero's spirits subject him to: they pinch, bite, and prick him, especially when he curses. As he is thinking of these spirits, Caliban sees Trinculo and imagines him to be one of the spirits. Hoping to avoid pinching, he lies down and covers himself with his cloak. Trinculo hears the thunder and looks about for some cover from the storm. The only thing he sees is the cloak-covered Caliban on the ground. He is not so much repulsed by Caliban as curious. He cannot decide whether Caliban is a \"man or a fish\" . He thinks of a time when he traveled to England and witnessed freak-shows there. Caliban, he thinks, would bring him a lot of money in England. Thunder sounds again and Trinculo decides that the best shelter in sight is beneath Caliban's cloak, and so he joins the man-monster there. Stephano enters singing and drinking. He hears Caliban cry out to Trinculo, \"Do not torment me! O!\" . Hearing this and seeing the four legs sticking out from the cloak, Stephano thinks the two men are a four-legged monster with a fever. He decides to relieve this fever with a drink. Caliban continues to resist Trinculo, whom he still thinks is a spirit tormenting him. Trinculo recognizes Stephano's voice and says so. Stephano, of course, assumes for a moment that the monster has two heads, and he promises to pour liquor in both mouths. Trinculo now calls out to Stephano, and Stephano pulls his friend out from under the cloak. While the two men discuss how they arrived safely on shore, Caliban enjoys the liquor and begs to worship Stephano. The men take full advantage of Caliban's drunkenness, mocking him as a \"most ridiculous monster\" as he promises to lead them around and show them the isle.", "feat_summary_analysis": "Analysis Trinculo and Stephano are the last new characters to be introduced in the play. They act as comic foils to the main action, and will in later acts become specific parodies of Antonio and Sebastian. At this point, their role is to present comically some of the more serious issues in the play concerning Prospero and Caliban. In Act I, scene ii, Prospero calls Caliban a \"slave\" , \"thou earth\" , \"Filth\" , and \"Hag-seed\" . Stephano and Trinculo's epithet of choice in Act II, scene ii and thereafter is \"monster.\" But while these two make quite clear that Caliban is seen as less than human by the Europeans on the island, they also treat him more humanely than Prospero does. Stephano and Trinculo, a butler and a jester respectively, remain at the low end of the social scale in the play, and have little difficulty finding friendship with the strange islander they meet. \" Misery acquaints a man with strange bedfellows,\" says Trinculo , and then hastens to crawl beneath Caliban's garment in order to get out of the rain. The similarity, socially and perhaps physically as well, between Trinculo and Caliban is further emphasized when Stephano, drunk, initially mistakes the two for a single monster: \"This is some monster of the isle with four legs\" . More important than the emphasis on the way in which Caliban seems to others more monster than man, is the way in which this scene dramatizes the initial encounter between an almost completely isolated, \"primitive\" culture and a foreign, \"civilized\" one. The reader discovers during Caliban and Prospero's confrontation in Act I, scene ii that Prospero initially \"made much of\" Caliban ; that he gave Caliban \"Water with berries in't\" ; that Caliban showed him around the island; and that Prospero later imprisoned Caliban, after he had taken all he could take from him. The reader can see these events in Act II, scene ii, with Trinculo and Stephano in the place of Prospero. Stephano calls Caliban a \"brave monster,\" as they set off singing around the island. In addition, Stephano and Trinculo give Caliban wine, which Caliban finds to be a \"celestial liquor\" . Moreover, Caliban initially mistakes Stephano and Trinculo for Prospero's spirits, but alcohol convinces him that Stephano is a \"brave god\" and decides unconditionally to \"kneel to him\" . This scene shows the foreign, civilized culture as decadent and manipulative: Stephano immediately plans to \"inherit\" the island , using Caliban to show him all its virtues. Stephano and Trinculo are a grotesque, parodic version of Prospero upon his arrival twelve years ago. Godlike in the eyes of the native, they slash and burn their way to power. By this point, Caliban has begun to resemble a parody of himself. Whereas he would \"gabble like / A thing most brutish\" upon Prospero's arrival, because he did not know language, he now is willfully inarticulate in his drunkenness. Immediately putting aside his fear that these men are spirits sent to do him harm, Caliban puts his trust in them for all the wrong reasons. What makes Caliban's behavior in this scene so tragic is that we might expect him, especially after his eloquent curses of Prospero in Act I, scene ii, to know better.", "feat_summary_length": 321.0, "feat_analysis_length": 546.0, "evaluation_predictions": [0, 37, 11604, 2058, 7, 28, 3, 9, 9872, 13, 1679, 5, 216, 65, 1943, 3, 9, 4661, 13, 26783, 6, 11, 112, 16370, 1616, 376, 5, 216, 523, 12, 19375, 117, 68, 79, 56, 59, 19785, 6, 377, 2632, 140, 28, 3, 5905, 5675, 10049, 7, 6, 26372, 140, 3, 23, 52, 5883, 257, 16, 8, 2164, 91, 13, 82, 194, 1636, 150, 991, 140, 114, 3, 9, 3655, 12164, 16, 8, 7597, 3387, 13, 39, 194, 18, 18, 2780, 21, 334, 6467, 89, 965, 33, 79, 356, 30, 140, 5, 886, 715, 114, 96, 9, 855, 7, 976, 24, 2288, 210, 44, 140, 6, 7175, 227, 9133, 140, 121, 3, 5, 366, 2702, 29, 1071, 32, 2058, 7, 6, 3, 88, 217, 7, 34, 19, 3, 9, 6765, 19744, 113, 5949, 7, 38, 3, 9, 2495, 5, 216, 3337, 7, 125, 31, 7, 132, 10, 3, 9, 388, 58, 94, 31, 7, 46, 3368, 49, 113, 8151, 45, 3, 9, 26783, 12862, 17, 5, 216, 317, 7, 48, 19, 1327, 68, 46, 2834, 49, 4068, 3, 88, 4227, 54, 143, 3, 9, 936, 5, 216, 2204, 7, 12, 7387, 365, 8, 7852, 49, 221, 630, 552, 8, 5536, 639, 541, 5, 451, 10159, 7, 160, 2324, 78, 255, 54, 36, 339, 12, 281, 5168, 5, 621, 6663, 128, 2013, 6, 14337, 152, 32, 817, 7, 376, 24, 3, 88, 31, 26, 470, 24614, 15, 26, 406, 271, 4682, 5, 216, 987, 7, 213, 8, 20, 6372, 133, 669, 70, 1612, 5, 216, 845, 3, 88, 751, 31, 17, 428, 376, 136, 4956, 250, 3, 88, 744, 31, 17, 241, 12, 199, 376, 5, 299, 116, 3, 88, 2347, 18364, 6, 3557, 152, 32, 3088, 376, 3, 9, 1782, 5, 328, 66, 2065, 12, 240, 135, 223, 12, 29287, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
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{"premise": "Conceptually cream skimming has two basic dimensions - product and geography.", "hypothesis": "Product and geography are what make cream skimming work. ", "label": 1, "idx": 0}

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