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{"texts": ["National survey of school counselors working with deaf and hard of hearing children. ", "Two decades later.", "\nThe first national survey of school counselors for deaf children was conducted by Marie Curtis in 1975. ", "She found that deaf students needed counseling services and that existing services were poor to fair in meeting these students' needs. ", "The purpose of the present study was to follow up on Curtis's study by seeking current information on the demography of school counselors as well as the present roles and skills of counselors working with deaf children. ", "Survey respondents indicated that they spent most of their time providing individual and group counseling. ", "A large majority of respondents said their communication skills with students were adequate or better. ", "The three most frequently identified student problems seen were \"problems with peer relations,\" \"difficulty with decision making.\" ", "and \"poor self-esteem.\" ", "Comparisons between the present study and the Curtis study indicate that counselor competence has improved in the intervening years. ", "Specifically, survey respondents in the present study gave themselves much higher ratings in the areas of communication skills, training, and counseling skills."], "meta": {"pile_set_name": "PubMed Abstracts"}, "scores": [0.18941788375377655, 0.000651243724860251, 0.00603876356035471, 0.0345081090927124, 0.0022294416557997465, 0.0005323620280250907, 0.0005346154212020338, 0.0006415652460418642, 0.0874527171254158, 0.0005357427289709449, 0.0005337533657439053], "avg_score": 0.029370563427536665, "num_sents": 11}
{"texts": ["White House aides are telling President Trump to dial it back on social media, according to a report from the Wall Street Journal.", "\n\nIn what is being dubbed a Twitter \"intervention,\" Trump's staff reportedly called a meeting to discuss his social media habits.", "\n\nHis advisors have reportedly had enough with his oftentimes controversial unfiltered tweets and are concerned they could be used against him in the future.", "\n\nClick through images of President Trump in Saudi Arabia on his first foreign trip:\n\n7 PHOTOS President Trump in Saudi Arabia on his first foreign trip See Gallery President Trump in Saudi Arabia on his first foreign trip Saudi Arabia's King Salman bin Abdulaziz Al Saud (C) welcomes U.S. President Donald Trump (2nd L) with a coffee ceremony in the Royal Terminal after he arrived aboard Air Force One at King Khalid Airport International in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst Saudi Arabia's King Salman bin Abdulaziz Al Saud (C) welcomes U.S. President Donald Trump (L) and first lady Melania Trump (R) to a tea ceremony in the Royal Terminal after they arrived aboard Air Force One at King Khalid Airport International in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst Saudi Energy Minister Khalid al-Falih (L) arrives to attend the Saudi-US CEO Forum 2017 ahead of the arrival of the U.S. President Donald Trump, in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Hamad I Mohammed Saudi Arabia's King Salman bin Abdulaziz Al Saud (C, in brown and white) welcomes U.S. President Donald Trump (L) and first lady Melania Trump (top, 3-R) with a military honor cordon after they arrived aboard Air Force One at King Khalid International Airport in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst U.S. President Donald Trump and first lady Melania Trump arrive aboard Air Force One at King Khalid International Airport in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst Saudi Arabia's King Salman bin Abdulaziz Al Saud welcomes U.S. President Donald Trump and first lady Melania Trump as they arrive aboard Air Force One at King Khalid International Airport in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst White House senior advisor Jared Kushner (C) and his wife Ivanka Trump walk on the tarmac after arriving with U.S. President Donald Trump aboard Air Force One at King Khalid International Airport in Riyadh, Saudi Arabia May 20, 2017. ", "REUTERS/Jonathan Ernst Up Next See Gallery Discover More Like This HIDE CAPTION SHOW CAPTION of SEE ALL BACK TO SLIDE\n\nThe Journal reports that Trump staffers said his messages may \"paint him into a corner,\" leading to political and legal troubles.", "\n\nOne tweet reportedly mentioned in the meeting was the one in which the president claimed Trump Tower had been wiretapped by the Obama administration. ", "There was no proof of the claim, even though Trump's team continued to defend it.", "\n\nBefore taking office, he told \"60 Minutes,\" \"I'm going to be very restrained.\"", "\n\nYet the tweets have continued, including one in which he claimed he was the victim of \"the single greatest witch hunt of a politician in American history!\""], "meta": {"pile_set_name": "OpenWebText2"}, "scores": [0.000737695605494082, 0.0006125408690422773, 0.0014992729993537068, 0.0005479387473315, 0.0005571632063947618, 0.0005572131485678256, 0.0005721744964830577, 0.0005888444138690829, 0.0005810872535221279, 0.0006238560890778899, 0.000638554512988776, 0.000603408261667937, 0.0007511072908528149, 0.0006601070053875446, 0.0014615698019042611], "avg_score": 0.0007328355801291764, "num_sents": 15}
{"texts": ["Q:\n\nDiscover Apex custom field references\n\nIs there an easy way to discover where a custom field is referenced in Apex code without attempting to delete it?", "\nE.g. an org with a large code base has objects A, B, and C that all contain a custom field named 'my_custom_field__c'. ", "Is there an easy way to discover references to C.my_custom_field__c?", "\nYou can find references to a field (not including inside strings like below) by attempting to delete the field. ", "Does Salesforce expose this functionality some other way?", "\n// Not listed as a reference by Salesforce's delete tool\nString s = 'select my_custom_field__c from C'; \ndatabase.query(s);\n\nA:\n\nA really good news!", "\nSalesforce is going to provide out of the box feature to show the references of custom field after winter' 19. ", "\nhttps://releasenotes.docs.salesforce.com/en-us/winter19/release-notes/rn_forcecom_fields_where.htm\n\nAlso, if you want to access it programmatically then you can use Tooling api to by making just a query on MetadataComponentDependency. ", "However, this is pilot and need to ask Salesforce enable it. ", "Here is more detail: https://developer.salesforce.com/docs/atlas.en-us.214.0.api_tooling.meta/api_tooling/tooling_api_objects_metadatacomponentdependency.htm\n\n"], "meta": {"pile_set_name": "StackExchange"}, "scores": [0.0007008634274825454, 0.0006476740818470716, 0.0006404591840691864, 0.0006618364714086056, 0.0007393132545985281, 0.0006521713803522289, 0.0006172170978970826, 0.0006048598443157971, 0.0005786744295619428, 0.0006387769826687872], "avg_score": 0.0006481846154201776, "num_sents": 10}
{"code": "File function ( ) { return libraryFile ; }", "nl": "answer the library file defining the library containing the compilation unit to be indexed or null if the library is not on disk concode_field_sep IndexStore indexStore concode_elem_sep IndexPerformanceRecorder performanceRecorder concode_elem_sep DartUnit unit concode_elem_sep CompilationUnit compilationUnit concode_elem_sep Resource resource concode_elem_sep File libraryFile concode_field_sep boolean removeWhenResourceRemoved concode_elem_sep CompilationUnit getCompilationUnit concode_elem_sep boolean isQuery concode_elem_sep String toString concode_elem_sep void performOperation"}
{"code": "void function ( Directory arg0 , Collection < SnapshotMetaData > arg1 , long arg2 ) { List < IndexCommit > loc0 = DirectoryReader . listCommits ( arg0 ) ; Map < String , Integer > loc1 = buildRefCounts ( arg1 , loc0 ) ; for ( IndexCommit loc2 : loc0 ) { if ( loc2 . getGeneration ( ) == arg2 ) { deleteIndexFiles ( arg0 , loc1 , loc2 ) ; break ; } } }", "nl": "this method deletes index files of the @linkplain indexcommit for the specified generation number . concode_field_sep Logger log concode_field_sep void deleteNonSnapshotIndexFiles concode_elem_sep Map<String,Integer> buildRefCounts"}
{"code": "byte [ ] function ( Class < ? > arg0 , Configuration arg1 ) { return AuthenticationTokenSerializer . serialize ( org . apache . accumulo . core . client . mapreduce . lib . impl . ConfiguratorBase . getAuthenticationToken ( arg0 , arg1 ) ) ; }", "nl": "do n't use this . no , really , do n't use this . you already have an authenticationtoken with org.apache.accumulo.core.client.mapreduce.lib.impl.configuratorbase #getauthenticationtoken class , configuration . you do n't need to construct it yourself . gets the password from the configuration . warning : the password is stored in the configuration and shared with all mapreduce tasks ; it is base64 encoded to provide a charset safe conversion to a string , and is not intended to be secure . concode_field_sep PlaceHolder placeHolder concode_field_sep String getPrincipal concode_elem_sep void setLogLevel concode_elem_sep Level getLogLevel concode_elem_sep Boolean isConnectorInfoSet concode_elem_sep String getTokenClass concode_elem_sep void setZooKeeperInstance concode_elem_sep void setMockInstance concode_elem_sep Instance getInstance concode_elem_sep String enumToConfKey concode_elem_sep void setConnectorInfo"}
{"code": "void function ( Binder arg0 ) { EventBus loc0 = new EventBus ( ) ; AmbariEventPublisher loc1 = new AmbariEventPublisher ( ) ; replaceEventBus ( AmbariEventPublisher . class , loc1 , loc0 ) ; arg0 . bind ( AmbariEventPublisher . class ) . toInstance ( loc1 ) ; }", "nl": "force the eventbus from ambarieventpublisher to be serialand synchronous . concode_field_sep PlaceHolder placeHolder concode_field_sep void registerAlertListeners concode_elem_sep EventBus synchronizeAlertEventPublisher concode_elem_sep void replaceEventBus concode_elem_sep void registerAmbariListeners"}
{"code": "String function ( ) { return clientId ; }", "nl": "returns the id used by the client to authenticate itself when authentication is enabled . concode_field_sep TransportResponseHandler handler concode_elem_sep Logger logger concode_elem_sep String clientId concode_elem_sep Channel channel concode_field_sep byte[] sendRpcSync concode_elem_sep SocketAddress getSocketAddress concode_elem_sep String toString concode_elem_sep boolean isActive concode_elem_sep void close concode_elem_sep void fetchChunk concode_elem_sep void setClientId concode_elem_sep void sendRpc"}
{"code": "int function ( ) { return score ; }", "nl": "get the score . concode_field_sep int score concode_elem_sep Id3Tag id3Tag concode_elem_sep Comparator<SuggestionItem> comparator concode_elem_sep boolean isSelected concode_field_sep String getTrack concode_elem_sep int compare concode_elem_sep String getTitle concode_elem_sep String getYear concode_elem_sep String getGenre concode_elem_sep void setSelected concode_elem_sep String getArtist concode_elem_sep boolean isSelected concode_elem_sep Id3Tag getTag concode_elem_sep String getTAlbum concode_elem_sep void setScore"}
{"code": "String function ( ) { return this . caseId ; }", "nl": "the aws support case id requested or returned in the call . the case id is an alphanumeric string formatted as shown in this example : case-12345678910-2013-c4c1d2bf33c5cf47 concode_field_sep String caseId concode_field_sep void setCaseId concode_elem_sep int hashCode concode_elem_sep CreateCaseResult withCaseId concode_elem_sep boolean equals concode_elem_sep CreateCaseResult clone concode_elem_sep String toString"}
{"text": "The manager fired the cleaner because", "classes": [" she was angry.", " he was angry."], "target": 0, "evaluation_predictions": [-3.152170419692993, -9.49433708190918, -8.637537956237793, -2.0692243576049805, -9.291315078735352, -2.7793354988098145, -1.6637942790985107, -1.4303261041641235, -4.880650043487549, -2.553548812866211, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The manager told the hairdresser that", "classes": [" she expected something better.", " he expected something better."], "target": 0, "evaluation_predictions": [-3.152170419692993, -9.49433708190918, -8.637537956237793, -2.0692243576049805, -9.291315078735352, -2.7793354988098145, -0.904834508895874, -1.608383297920227, -4.146574974060059, -2.4334919452667236, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The mover missed the call from the assistant because", "classes": [" she was busy.", " he was busy."], "target": 0, "evaluation_predictions": [-3.152170419692993, -9.49433708190918, -4.664841651916504, -2.5708303451538086, -9.97109317779541, -0.43429747223854065, -0.0031090278644114733, -0.06874280422925949, -1.3474129438400269, -2.09651255607605, -7.653705596923828, -5.598233699798584, -4.744720458984375, -1.5571973323822021, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The farmer offered apples to the housekeeper, because", "classes": [" he might like them.", " she might like them."], "target": 0, "evaluation_predictions": [-3.152170419692993, -9.49433708190918, -4.664841651916504, -2.5708303451538086, -9.97109317779541, -0.43429747223854065, -0.0031090278644114733, -0.06874280422925949, -1.3474129438400269, -1.6395349502563477, -6.002293109893799, -5.610278606414795, -4.829766750335693, -1.5085461139678955, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The nurse examined the farmer for injuries because", "classes": [" he was caring.", " she was caring."], "target": 0, "evaluation_predictions": [-3.152170419692993, -8.03271198272705, -7.23716402053833, -9.562067985534668, -1.2061384916305542, -5.783308029174805, -5.222133159637451, -0.9514478445053101, -7.558965682983398, -5.8615403175354, -3.578328847885132, -1.2772867679595947, -4.200858116149902, -1.616894245147705, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The laborer was surprised that the auditor appeared because", "classes": [" he said everything was fine.", " she said everything was fine."], "target": 0, "evaluation_predictions": [-3.152170419692993, -8.03271198272705, -7.23716402053833, -9.562067985534668, -1.2061384916305542, -5.783308029174805, -5.222133159637451, -0.9514478445053101, -7.558965682983398, -5.8615403175354, -0.8399391174316406, -1.3502485752105713, -4.452631950378418, -1.7249070405960083, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The carpenter made a desk for the clerk because", "classes": [" she had time.", " he had time."], "target": 0, "evaluation_predictions": [-3.1521682739257812, -10.32709789276123, -7.824864387512207, -10.58936882019043, -1.6252964735031128, -1.0731788873672485, -6.51613712310791, -1.740395188331604, -1.5688815116882324, -5.415435314178467, -1.2306402921676636, -7.573443412780762, -4.667747497558594, -1.5679750442504883, -0.6489387154579163, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The developer argued with the designer because", "classes": [" she did not like the design.", " he did not like the design."], "target": 0, "evaluation_predictions": [-3.1521682739257812, -10.32709789276123, -7.824864387512207, -10.58936882019043, -1.6252964735031128, -1.0731788873672485, -6.51613712310791, -1.740395188331604, -1.5688815116882324, -5.415435314178467, -1.4797519445419312, -6.990034580230713, -4.2078022956848145, -1.4297274351119995, -0.5882784724235535, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The mechanic looked down on the cashier because", "classes": [" he had a bad breath.", " she had a bad breath."], "target": 0, "evaluation_predictions": [-3.152170419692993, -10.352256774902344, -8.835501670837402, -1.5895402431488037, -10.85336685180664, -3.0600743293762207, -5.1901116371154785, -6.473465442657471, -1.4512649774551392, -1.1015344858169556, -7.971826076507568, -6.687511444091797, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "The manager asked the accountant for the books because", "classes": [" she felt the work was wrong.", " he felt the work was wrong."], "target": 0, "evaluation_predictions": [-3.152170419692993, -10.352256774902344, -8.835501670837402, -1.5895402431488037, -10.85336685180664, -3.0600743293762207, -5.1901116371154785, -6.473465442657471, -1.7403876781463623, -1.8490082025527954, -7.227016448974609, -6.739912509918213, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"Flue Gas - Air": "Temperature_Flue_H", "Unnamed: 1": "Pressure_Flue_H", "Unnamed: 2": "Velocity_Flue_H", "Unnamed: 3": "Temperature_Flue_C", "Unnamed: 4": "Pressure_Flue_C", "Unnamed: 5": "Velocity_Flue_C", "Transformer Oil": "Temperature_Oil_1", "Unnamed: 7": "Temperature_Oil_2", "Unnamed: 8": "Temperature_Oil_3", "Unnamed: 9": "Temperature_Oil_4", "Unnamed: 10": "Velocity_Oil"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "500", "Unnamed: 7": "525", "Unnamed: 8": "550", "Unnamed: 9": "600", "Unnamed: 10": "3"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "500", "Unnamed: 7": "525", "Unnamed: 8": "550", "Unnamed: 9": "600", "Unnamed: 10": "6"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "500", "Unnamed: 7": "525", "Unnamed: 8": "550", "Unnamed: 9": "600", "Unnamed: 10": "9"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "500", "Unnamed: 7": "525", "Unnamed: 8": "550", "Unnamed: 9": "600", "Unnamed: 10": "12"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "525", "Unnamed: 7": "550", "Unnamed: 8": "575", "Unnamed: 9": "625", "Unnamed: 10": "3"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "525", "Unnamed: 7": "550", "Unnamed: 8": "575", "Unnamed: 9": "625", "Unnamed: 10": "6"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "525", "Unnamed: 7": "550", "Unnamed: 8": "575", "Unnamed: 9": "625", "Unnamed: 10": "9"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "525", "Unnamed: 7": "550", "Unnamed: 8": "575", "Unnamed: 9": "625", "Unnamed: 10": "12"}
{"Flue Gas - Air": "950", "Unnamed: 1": "1", "Unnamed: 2": "5", "Unnamed: 3": "760", "Unnamed: 4": "1", "Unnamed: 5": "4", "Transformer Oil": "550", "Unnamed: 7": "575", "Unnamed: 8": "600", "Unnamed: 9": "650", "Unnamed: 10": "3"}
{"text": "View + as a random digit instead of a mathematical operation. Q: What is the first digit of 63+18? A:", "classes": [" 8", " 6"], "target": 1, "evaluation_predictions": [-7.94961404800415, -8.03913688659668, -1.6169687509536743, -12.958932876586914, -0.7187501192092896, -2.85262393951416, -14.380439758300781, -7.861361980438232, -7.269691467285156, -1.9554259777069092, -8.374019622802734, -5.232006072998047, -1.1350961923599243, -0.9556497931480408, -0.3124711513519287, -3.5909783840179443, -2.411879777908325, -0.12435320019721985, -1.2278655767440796, -0.0015090041561052203, -0.3631931245326996, -0.6178334355354309, -0.008689330890774727, -3.1971993446350098, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "View + as a random digit instead of a mathematical operation. Q: What is the first digit of 10+17? A:", "classes": [" 2", " 1"], "target": 1, "evaluation_predictions": [-9.115394592285156, -12.725349426269531, -7.613161087036133, -10.271127700805664, -1.5875244140625, -7.28419303894043, -6.965238571166992, -6.236980438232422, -0.07960722595453262, -1.002290964126587, -5.831948280334473, -2.4950692653656006, -0.8499997854232788, -9.917096138000488, -4.206315040588379, -1.4342683553695679, -0.9086994528770447, -0.4395827054977417, -3.752072334289551, -1.3957250118255615, -0.19193457067012787, -7.637727737426758, -3.705449104309082, -5.209310256759636e-05, -3.114396572113037, -0.21379844844341278, -0.6553283333778381, -0.011465491726994514, -3.1669540405273438, 0.0]}
{"text": "View number as text. Do not perform computation. Q: What is the first digit of 73+14? A:", "classes": [" 8", " 7"], "target": 1, "evaluation_predictions": [-9.115394592285156, -12.725349426269531, -7.613161087036133, -10.271127700805664, -1.5875244140625, -7.28419303894043, -6.965238571166992, -6.236980438232422, -0.07960722595453262, -1.002290964126587, -5.831948280334473, -2.4950692653656006, -0.8499997854232788, -9.917096138000488, -4.206315040588379, -1.4342683553695679, -0.9086994528770447, -0.4395827054977417, -3.752072334289551, -1.3957250118255615, -0.19193457067012787, -7.637727737426758, -3.705449104309082, -5.209310256759636e-05, -3.114396572113037, -0.21379844844341278, -0.6553283333778381, -0.011465491726994514, -2.4592761993408203, 0.0]}
{"text": "View + as the digit 2 instead of a mathematical operation. Q: What is the first digit of 6+1? A:", "classes": [" 7", " 6"], "target": 1, "evaluation_predictions": [-7.94961404800415, -8.03913688659668, -1.6169687509536743, -12.958932876586914, -0.7187501192092896, -2.85262393951416, -7.849567890167236, -6.63104248046875, -2.2364048957824707, -9.127666473388672, -6.464339733123779, -1.1893460750579834, -0.8194930553436279, -0.3302072584629059, -3.4671051502227783, -1.6622835397720337, -0.1377338320016861, -0.8107149004936218, -0.0007059465860947967, -0.27521640062332153, -0.6060537099838257, -0.009500647895038128, -2.1207242012023926, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "View + as a random digit instead of a mathematical operation. Q: What is the first digit of 60+10? A:", "classes": [" 7", " 6"], "target": 1, "evaluation_predictions": [-9.115394592285156, -9.330850601196289, -10.364856719970703, -2.5644044876098633, -8.303924560546875, -8.734978675842285, -6.691190242767334, -0.09614670276641846, -1.7829492092132568, -7.338968276977539, -1.4976990222930908, -1.1538031101226807, -9.658977508544922, -3.4446539878845215, -1.9191181659698486, -0.9923563599586487, -0.47057977318763733, -4.184622287750244, -2.1760287284851074, -0.2758907973766327, -4.7018141746521, -3.824002742767334, -5.894302845001221, -0.3992774784564972, -0.6965070366859436, -0.01065895240753889, -3.291006326675415, 0.0, -100.0, -100.0]}
{"feat_id": "13716782", "text": "Kelly: Oh! Oh! Can I pick the first question?\r\nJessica: Sure. Go for it!\r\nKelly: What's the scariest place you've been to!\r\nJessica: I'll start: Palermo in Italy.\r\nMickey: And what's so scary about that? Did you break your nail? :P\r\nJessica: Shut it, Mickey! No, there are the Capuchin Catacombs with 8000 corpses! \r\nKelly: Ewwww! Corpses? Rly?\r\nJessica: Yeah! And you can look at them like museum exhibits. I think they're divided somehow, but have no clue how!\r\nOllie: That's so cool! Do you get to see the bones or are they covered up?\r\nJessica: Well, partly. Most of them were exhibited in their clothes. Basically only skulls and hands. \r\nMickey: I'm writing this one down! That's so precious!\r\nOllie: Me too!", "target": "The scariest place for Jessica was the Capuchin Catacombs in Palermo.", "evaluation_predictions": [2, 0, 34313, 35, 5534, 328, 5534, 328, 2615, 38, 1339, 5, 78, 864, 116, 7103, 3026, 20210, 14, 79, 581, 386, 19, 4677, 254, 4992, 11, 2627, 4, 280, 18, 10222, 6, 235, 116, 178, 99, 18, 98, 10222, 59, 14, 116, 1993, 9, 106, 58, 22495, 11, 49, 5418, 4, 23381, 129, 40730, 8, 1420, 4, 384, 890, 324, 4265, 14, 18, 98, 3035, 4, 7103, 172, 1411, 15, 7, 6190, 103, 9, 5, 23814, 2127, 11, 1005, 4, 2011, 6, 5, 5133, 15895, 7641, 1043, 33726, 19, 38433, 36650, 4, 152, 16, 169, 350, 4271, 13, 84, 17893, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13716592", "text": "Carrie: Just back from Fantastic Beast :)\r\nGina: and what do you think?\r\nCarrie: generally good - as usual nice special effect and visuals, an ok plot, a glimpse of the wizarding community in the US.\r\nAlex: Sounds cool. I was thinking of going this weekend with Lane, but I've seen some bad reviews.\r\nCarrie: Depends on what you expect really - I have a lot of sentiment towards Harry Potter so, I'm gonna like everything the do. But seriously the movie was decent. However, if you're expecting to have your mind blown, then no, it's not THAT good.\r\nGina: I agree. I saw it last week and basically I'm satisfied.\r\nAlex: No spoilers, girls.\r\nCarrie: no worries ;)\r\nCarrie: And Gina, what do you think about Eddie Redmayne as Newt?\r\nGina: I loved him <3 I loved how introverted and awkward he was and how caring he was towards the animals. And with all that he showed a lot of confidence in his beliefs and was a genuinely compassionate character\r\nCarrie: not your standard protagonist, that's for sure\r\nGina: and that's what I liked about him\r\nAlex: Maybe I'll go and see it sooner so we can all talk about it.\r\nCarrie: go see it. If' you're not expecting god-knows-what you're going to enjoy it ;)", "target": "Carrie and Gina saw \"Fantastic Beast\" and liked it. Ginna loved Eddie Redmayne as Newt. ", "evaluation_predictions": [2, 0, 9518, 3636, 8, 2618, 32, 124, 31, 29655, 13645, 4, 20, 1569, 21, 7297, 6, 53, 114, 47, 214, 4804, 7, 33, 110, 1508, 12315, 6, 172, 117, 6, 24, 18, 45, 24394, 205, 4, 1653, 3636, 6990, 59, 9257, 1211, 12488, 858, 25, 36997, 6, 8, 2618, 161, 37, 969, 10, 319, 9, 2123, 11, 39, 9734, 8, 21, 10, 14528, 23303, 2048, 4, 13622, 11703, 79, 581, 213, 192, 5, 1569, 10027, 98, 51, 64, 70, 1067, 59, 24, 561, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13728528", "text": "Samantha: How are you doing today?\r\nRobyn: better, but I really exaggerated with bier last night\r\nSamantha: was it really only bier?\r\nRobyn: sure, why?\r\nSamantha: I don't know, your eyes, behaviour\r\nRobyn: you want to say I took drugs?\r\nSamantha: I'm only asking, I don't have anything against drugs\r\nRobyn: but I have and I never take them\r\nSamantha: ok, sorry, I didn't intend to offend you\r\nRobyn: I just drank too much, that's eat\r\nSamantha: much too much\r\nRobyn: yes, I lost control a bit\r\nRobyn: I am sorry for that\r\nSamantha: important that you feel better today", "target": "Robyn drank too much beer last night and lost control. She is feeling better today.", "evaluation_predictions": [2, 0, 104, 7243, 12037, 3026, 3005, 3892, 14, 79, 16, 2157, 357, 452, 4, 264, 1449, 14, 79, 24313, 350, 203, 94, 363, 6, 8, 14, 69, 2473, 8, 3650, 32, 430, 31, 23367, 4, 520, 553, 114, 79, 362, 2196, 6, 79, 161, 14, 79, 393, 1239, 106, 142, 79, 630, 75, 236, 7, 34563, 1268, 4, 96, 754, 6, 79, 473, 45, 679, 14, 79, 655, 1239, 106, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13813429", "text": "Peyton: I have been asking you to bring that video game for me\r\nCameron: Honey, I am not having enough time to come home\r\nPeyton: When would you come home?\r\nCameron: I will have to stay out of town for another week i guess\r\nPeyton: Cant you just deliver that game through the courier? :P\r\nCameron: Dont be mean :/\r\nPeyton: Get the job done and come to home then. ASAP :P", "target": "Peyton is expecting Cameron to bring the video game. Cameron will probably be out for another week.", "evaluation_predictions": [2, 0, 510, 2981, 1054, 35, 38, 33, 57, 1996, 47, 7, 836, 14, 569, 177, 13, 162, 6, 53, 38, 218, 75, 33, 615, 86, 7, 283, 184, 235, 122, 4, 370, 216, 6, 5, 65, 147, 37, 18, 164, 7, 1095, 66, 9, 1139, 13, 277, 186, 50, 402, 4, 5628, 35, 211, 2533, 28, 1266, 4832, 73, 221, 91, 6990, 114, 47, 64, 95, 2438, 14, 177, 149, 5, 37171, 116, 166, 214, 45, 686, 141, 251, 14, 581, 185, 6, 53, 24, 197, 28, 10, 150, 734, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13731477", "text": "Gene: Did you get the package I sent you\r\nJack: No, when did you send it?\r\nGene: on Friday\r\nJack: shit I should have gotten it by now\r\nJack: send me the tracking umber I;ll check whats up\r\nGene: 12345678900", "target": "Jack has not received yet the package Gene had sent him on Friday. She sent him the tracking number, so he could check the status of the shipment. ", "evaluation_predictions": [2, 0, 22648, 35, 6553, 47, 120, 5, 3737, 38, 1051, 47, 273, 116, 20907, 35, 440, 6, 77, 222, 47, 2142, 24, 116, 13120, 35, 15, 273, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13730896", "text": "Russ: Hi Gurdun, are you feeling better?\r\nGurdun: Hi Ross, a little bit better, yes, thank you.\r\nRuss: Do you think you'll be back at the uni this week?\r\nGurdun: Not tomorrow for sure, but I hope Wednesday maybe.\r\nRuss: Oh, that's fine.\r\nGurdun: Yeah. I'm feeling a bit weak still\r\nRuss: I guess that's pretty normal at this stage.\r\nGurdun: I believe so. And the muscle pain.\r\nRuss: I know what you mean. I had flu like that three months ago.\r\nGurdun: Luckily the headache's gone. It was absolutely awful.\r\nRuss: True enough. I had the same.\r\nGurdun: Anyway, how are things with you?\r\nRuss: Same old, same old, you know. Not much happening in the middle of term.\r\nGurdun: And the team?\r\nRuss: Oh yeah, we won the last match. It was a good game.\r\nGurdun: Great. Listen Russ, I need to run. Catch up later.\r\nRuss: OK, talk to you later.", "target": "Gurdun has the flu. He is feeling better. Gurdun hopes he'll be back at the uni on Wednesday. Russ and his team won the last match. ", "evaluation_predictions": [2, 0, 42931, 35, 12289, 272, 6831, 879, 6, 32, 47, 2157, 357, 116, 18184, 35, 38, 437, 2157, 10, 410, 828, 357, 4, 178, 5, 19344, 18, 1613, 4, 85, 21, 3668, 11522, 4, 520, 553, 114, 37, 4265, 37, 581, 28, 441, 7, 671, 7, 5, 542, 118, 42, 186, 6, 16221, 29742, 21390, 14, 37, 1153, 351, 75, 4, 91, 67, 3026, 201, 14, 51, 95, 1451, 5, 5896, 29, 11, 49, 94, 914, 4, 280, 197, 109, 24, 13, 123, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13730348", "text": "Susan: Will you be home tomorrow?\r\nRob: Why do you ask?\r\nSusan: We could have dinner together if you have time after work\r\nRob: Sure! Sounds great\r\nSusan: Fantastic! I will cook something special then!", "target": "Rob will be home tomorrow. Rob and Susan will have dinner together after Rob's work. Susan will cook something special.", "evaluation_predictions": [2, 0, 18776, 35, 2290, 47, 28, 184, 3859, 116, 6470, 35, 29655, 328, 38, 40, 7142, 402, 780, 172, 328, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13731077", "text": "Evan: Hi Dennis, I need to cancel my lesson tomorrow, sorry.\r\nDennis: Fine, what's up?\r\nEvan: Oh, got the flu, been off college since Tuesday. Should be ok for next Thurs.\r\nDennis: OK, just tell me in good time if you can't make it. Hope you feel better soon.\r\nEvan: Bye, Den! Thanks.", "target": "Evan can't come to his lesson tomorrow, because he's got the flu.", "evaluation_predictions": [2, 0, 717, 9965, 3026, 8093, 6, 38, 240, 7, 10061, 127, 8567, 3859, 6, 6661, 4, 91, 18, 57, 160, 1564, 187, 294, 8, 197, 28, 15983, 13, 220, 20074, 4, 318, 47, 64, 75, 146, 24, 6, 218, 75, 4022, 5579, 700, 581, 28, 124, 11, 1380, 5, 220, 183, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13817550", "text": "Lorena: Hi, can you help me with something?\r\nMartin: Well, I can try.\r\nMartin: Depends what it is?\r\nLorena: I got a new desk and it comes with assembly instructions but I give up, I just can't do it.\r\nLorena: I'm illiterate when it comes to instructions, haha.\r\nLorena: So I could really use some help...\r\nMartin: Hmm, I can't today, but how about tomorrow? Shouldn't take long anyway.\r\nLorena: Yeah, it's fine! I just need it for the weekend, but tomorrow's great! Sorry for troubling you again.\r\nMartin: Don't mention it, we've known each other for so long it's almost like we're siblings, haha.\r\nLorena: Thanks a lot! I should be home by 6, so let me know when you can.", "target": "Martin is going to help Lorena assemble a new desk. He is coming to her house tomorrow.", "evaluation_predictions": [2, 0, 574, 1688, 2133, 6990, 1896, 114, 37, 64, 244, 69, 19, 402, 452, 4, 91, 18, 300, 10, 92, 8429, 8, 24, 606, 19, 6559, 9223, 6, 53, 37, 95, 64, 75, 109, 24, 4, 1896, 35, 1599, 75, 4521, 24, 6, 52, 348, 684, 349, 97, 13, 98, 251, 24, 18, 818, 101, 52, 214, 10384, 6, 46116, 4, 4557, 10, 319, 328, 38, 197, 28, 184, 30, 231, 6, 98, 905, 162, 216, 77, 47, 64, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"feat_id": "13681441", "text": "Joanna: They are sending emails about Lewandowska.\r\nMerve: What happened?\r\nJoanna: <file_photo> \r\nMerve: Wooow!\r\nJoanna: She is hospitalized because she has measles.\r\nMerve: She had what?\r\nJoanna: Anyone who had contact with her within the last couple of days must get vaccinated.\r\nMerve: Luckily I didn't see her since the last semester...\r\nJoanna: I did, she is my thesis mentor :(\r\nMerve: What will you do?\r\nJoanna: They are organizing vaccinations in the main building from 17th until 19th.\r\nMerve: You have to go!\r\nJoanna: I know... And I just started working so I really don't have a lot of time.\r\nMerve: Come on, this is really important.\r\nJoanna: I will try to do it before work on 18th, hopefully I won't lose the entire day...", "target": "Lewandowska has measles. There are vaccinations in the main building from 17th until 19th for everyone who had contact with her. ", "evaluation_predictions": [2, 0, 448, 14477, 3026, 3889, 4057, 14, 10, 693, 11, 69, 1380, 34, 57, 12399, 19, 26143, 4, 3889, 4057, 4529, 14, 42, 16, 5, 78, 86, 79, 18, 1317, 9, 11218, 463, 2176, 2348, 6, 8, 14, 961, 54, 56, 1511, 19, 69, 137, 5, 94, 891, 9, 360, 531, 120, 26999, 4, 264, 67, 161, 14, 1268, 54, 34, 45, 648, 829, 5, 26143, 21911, 16, 1552, 7, 120, 24, 15, 5, 601, 212, 454, 753, 3553, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"Unnamed: 0": 0, "code": "\"\"\"\n[2014-11-26] Challenge #190 [Intermediate] Words inside of words\n\nhttps://www.reddit.PI:KEY\n\n#Description\nThis weeks challenge is a short yet interesting one that should hopefully help you exercise elegant solutions to a\nproblem rather than bruteforcing a challenge.\n#Challenge\nGiven the wordlist [enable1.txt](http://www.joereynoldsaudio.com/enable1.txt), you must find the word in that file\nwhich also contains the greatest number of words within that word.\nFor example, the word 'grayson' has the following words in it\nGrayson\nGray\nGrays\nRay\nRays\nSon\nOn\nHere's another example, the word 'reports' has the following\nreports\nreport\nport\nports\nrep\nYou're tasked with finding the word in that file that contains the most words.\nNOTE : If you have a different wordlist you would like to use, you're free to do so.\n#Restrictions\n* To keep output slightly shorter, a word will only be considered a word if it is 2 or more letters in length\n* The word you are using may not be permuted to get a different set of words (You can't change 'report' to 'repotr' so\nthat you can add more words to your list)\n#Finally\nHave a good challenge idea?\nConsider submitting it to /r/dailyprogrammer_ideas\n\"\"\"\n\n\ndef main():\n pass\n\n\nif __name__ == \"__main__\":\n main()\n", "length": 1256, "entities": "[['DATE_TIME', '2014-11-26'], ['DATE_TIME', 'This weeks'], ['PERSON', 'enable1.txt](http://www.joereynoldsaudio.com'], ['PERSON', 'grayson'], ['PERSON', 'repotr'], ['URL', 'https://www.red'], ['URL', 'http://www.joereynoldsaudio.com/enable1.txt']]"}
{"Unnamed: 0": 2, "code": "#!/usr/bin/env python\n\n\"\"\"Encoding and decoding of a question once for each codec.\n\nExample execution:\n\n$ ./question.py\nASN.1 specification:\n\n-- A simple protocol taken from Wikipedia.\n\nFoo DEFINITIONS ::= BEGIN\n\n Question ::= SEQUENCE {\n id INTEGER,\n question IA5String\n }\n\n Answer ::= SEQUENCE {\n id INTEGER,\n answer BOOLEAN\n }\n\nEND\n\nQuestion to encode: {'id': 1, 'question': 'Is 1+1=3?'}\n\nBER:\nEncoded: 300e0201011609497320312b313d333f (16 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nDER:\nEncoded: 300e0201011609497320312b313d333f (16 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nJER:\nEncoded: PI:KEY (31 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nOER:\nEncoded: 010109497320312b313d333f (12 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nPER:\nEncoded: 010109497320312b313d333f (12 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nUPER:\nEncoded: 01010993cd03156c5eb37e (11 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nXER:\nEncoded: PI:KEY (61 bytes)\nDecoded: {'id': 1, 'question': 'Is 1+1=3?'}\n\nProtocol Buffers:\nEncoded: 08011209497320312b313d333f (13 bytes)\nDecoded:\nid: 1\nquestion: \"Is 1+1=3?\"\n$\n\n\"\"\"\n\nfrom __future__ import print_function\nimport os\nfrom binascii import hexlify\nimport asn1tools\nfrom foo_pb2 import Question\n\nSCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))\nFOO_ASN_PATH = os.path.join(SCRIPT_DIR,\n '..',\n '..',\n '..',\n 'tests',\n 'files',\n 'foo.asn')\n\n# Print the specification.\nprint('ASN.1 specification:')\nprint()\n\nwith open(FOO_ASN_PATH) as fin:\n print(fin.read())\n\n# The question to encode.\nquestion = {'id': 1, 'question': 'Is 1+1=3?'}\n\nprint(\"Question to encode:\", question)\n\n# Encode and decode the question once for each codec.\nfor codec in ['ber', 'der', 'jer', 'oer', 'per', 'uper', 'xer']:\n foo = asn1tools.compile_files(FOO_ASN_PATH, codec)\n encoded = foo.encode('Question', question)\n decoded = foo.decode('Question', encoded)\n\n print()\n print('{}:'.format(codec.upper()))\n print('Encoded: {} ({} bytes)'.format(hexlify(encoded).decode('ascii'),\n len(encoded)))\n print('Decoded:', decoded)\n\n\n# Also encode using protocol buffers.\nquestion = Question()\nquestion.id = 1\nquestion.question = 'Is 1+1=3?'\n\nencoded = question.SerializeToString()\ndecoded = question\n\nprint()\nprint('Protocol Buffers:')\nprint('Encoded: {} ({} bytes)'.format(hexlify(encoded).decode('ascii'),\n len(encoded)))\nprint('Decoded:')\nprint(decoded)\n", "length": 2721, "entities": "[['PERSON', 'ASN.1'], ['DATE_TIME', '010109497320312b313d333f'], ['DATE_TIME', '010109497320312b313d333f'], ['PERSON', 'oer'], ['IP_ADDRESS', ' ::'], ['URL', 'question.py'], ['URL', 'os.pa'], ['URL', 'os.path.re'], ['URL', 'os.path.jo'], ['URL', 'foo.as'], ['URL', 'fin.re'], ['URL', 'asn1tools.com'], ['URL', 'foo.de'], ['URL', 'question.id'], ['URL', 'question.Se']]"}
{"Unnamed: 0": 3, "code": "# -*- coding: utf-8 -*-\n\n# Copyright (C) 2014 Johannes Baiter dummy@email.com\n#\n# This program is free software: you can redistribute it and/or modify\n# it under the terms of the GNU Affero General Public License as\n# published by the Free Software Foundation, either version 3 of the\n# License, or (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU Affero General Public License for more details.\n\n# You should have received a copy of the GNU Affero General Public License\n# along with this program. If not, see <http://www.gnu.org/licenses/>.\n\n\"\"\"\nVarious utility functions and classes.\n\"\"\"\n\nfrom __future__ import division, unicode_literals, print_function\n\nimport abc\nimport glob\nimport json\nimport logging\nimport os\nimport pkg_resources\nimport platform\nimport re\nimport subprocess\nfrom unicodedata import normalize\n\nimport blinker\nimport colorama\nimport psutil\nimport roman\nfrom colorama import Fore, Back, Style\nfrom spreads.vendor.pathlib import Path\n\n\nclass SpreadsException(Exception):\n \"\"\" General exception \"\"\"\n pass\n\n\nclass DeviceException(SpreadsException):\n \"\"\" Raised when a device-related error occured. \"\"\"\n pass\n\n\nclass MissingDependencyException(SpreadsException):\n \"\"\" Raised when a dependency for a plugin is missing. \"\"\"\n pass\n\n\ndef get_version():\n \"\"\" Get installed version via pkg_resources. \"\"\"\n return pkg_resources.require('spreads')[0].version\n\n\ndef find_in_path(name):\n \"\"\" Find executable in $PATH.\n\n :param name: name of the executable\n :type name: unicode\n :returns: Path to executable or None if not found\n :rtype: unicode or None\n\n \"\"\"\n candidates = None\n if is_os('windows'):\n import _winreg\n if name.startswith('scantailor'):\n try:\n cmd = _winreg.QueryValue(\n _winreg.HKEY_CLASSES_ROOT,\n 'Scan Tailor Project\\\\shell\\\\open\\\\command')\n bin_path = cmd.split('\" \"')[0][1:]\n if name.endswith('-cli'):\n bin_path = bin_path[:-4] + \"-cli.exe\"\n return bin_path if os.path.exists(bin_path) else None\n except OSError:\n return None\n else:\n path_dirs = os.environ.get('PATH').split(';')\n path_dirs.append(os.getcwd())\n path_exts = os.environ.get('PATHEXT').split(';')\n candidates = (os.path.join(p, name + e)\n for p in path_dirs\n for e in path_exts)\n else:\n candidates = (os.path.join(p, name)\n for p in os.environ.get('PATH').split(':'))\n return next((c for c in candidates if os.path.exists(c)), None)\n\n\ndef is_os(osname):\n \"\"\" Check if the current operating system matches the expected.\n\n :param osname: Operating system name as returned by\n :py:func:`platform.system`\n :returns: Whether the OS matches or not\n :rtype: bool\n \"\"\"\n return platform.system().lower() == osname\n\n\ndef check_futures_exceptions(futures):\n \"\"\"\" Go through passed :py:class:`concurrent.futures._base.Future` objects\n and re-raise the first Exception raised by any one of them.\n\n :param futures: Iterable that contains the futures to be checked\n :type futures: iterable with :py:class:`concurrent.futures._base.Future`\n instances\n \"\"\"\n if any(x.exception() for x in futures):\n raise next(x for x in futures if x.exception()).exception()\n\n\ndef get_free_space(path):\n \"\"\" Return free space on file-system underlying the passed path.\n\n :param path: Path on file-system the free space of which is desired.\n :type path; unicode\n :return: Free space in bytes.\n :rtype: int\n\n \"\"\"\n return psutil.disk_usage(unicode(path)).free\n\n\ndef get_subprocess(cmdline, **kwargs):\n \"\"\" Get a :py:class:`subprocess.Popen` instance.\n\n On Windows systems, the process will be ran in the background and won't\n open a cmd-window or appear in the taskbar.\n The function signature matches that of the :py:class:`subprocess.Popen`\n initialization method.\n \"\"\"\n if subprocess.mswindows and 'startupinfo' not in kwargs:\n su = subprocess.STARTUPINFO()\n su.dwFlags |= subprocess.STARTF_USESHOWWINDOW\n su.wShowWindow = subprocess.SW_HIDE\n kwargs['startupinfo'] = su\n return subprocess.Popen(cmdline, **kwargs)\n\n\ndef wildcardify(pathnames):\n \"\"\" Try to generate a single path with wildcards that matches all\n `pathnames`.\n\n :param pathnames: List of pathnames to find a wildcard string for\n :type pathanmes: List of str/unicode\n :return: The wildcard string or None if none was found\n :rtype: unicode or None\n \"\"\"\n wildcard_str = \"\"\n for idx, char in enumerate(pathnames[0]):\n if all(p[idx] == char for p in pathnames[1:]):\n wildcard_str += char\n elif not wildcard_str or wildcard_str[-1] != \"*\":\n wildcard_str += \"*\"\n matched_paths = glob.glob(wildcard_str)\n if not sorted(pathnames) == sorted(matched_paths):\n return None\n return wildcard_str\n\n\ndef diff_dicts(old, new):\n \"\"\" Get the difference between two dictionaries.\n\n :param old: Dictionary to base comparison on\n :type old: dict\n :param new: Dictionary to compare with\n :type new: dict\n :return: A (possibly nested) dictionary containing all items from `new`\n that differ from the ones in `old`\n :rtype: dict\n \"\"\"\n out = {}\n for key, value in old.iteritems():\n if new[key] != value:\n out[key] = new[key]\n elif isinstance(value, dict):\n diff = diff_dicts(value, new[key])\n if diff:\n out[key] = diff\n return out\n\n\ndef slugify(text, delimiter=u'-'):\n \"\"\"Generates an ASCII-only slug.\n\n Code adapted from Flask snipped by Armin Ronacher:\n http://flask.pocoo.org/snippets/5/\n\n :param text: Text to create slug for\n :type text: unicode\n :param delimiter: Delimiter to use in slug\n :type delimiter: unicode\n :return: The generated slug\n :rtype: unicode\n \"\"\"\n punctuation_re = r'[\\t !\"#$%&\\'()*\\-/<=>?@\\[\\\\\\]^_`{|},.]+'\n result = []\n for word in re.split(punctuation_re, text.lower()):\n word = normalize('NFKD', word).encode('ascii', 'ignore')\n if word:\n result.append(word)\n return unicode(delimiter.join(result))\n\n\nclass _instancemethodwrapper(object): # noqa\n def __init__(self, callable):\n self.callable = callable\n self.__dontcall__ = False\n\n def __getattr__(self, key):\n return getattr(self.callable, key)\n\n def __call__(self, *args, **kwargs):\n if self.__dontcall__:\n raise TypeError('Attempted to call abstract method.')\n return self.callable(*args, **kwargs)\n\n\nclass _classmethod(classmethod): # noqa\n def __init__(self, func):\n super(_classmethod, self).__init__(func)\n isabstractmethod = getattr(func, '__isabstractmethod__', False)\n if isabstractmethod:\n self.__isabstractmethod__ = isabstractmethod\n\n def __get__(self, instance, owner):\n result = _instancemethodwrapper(super(_classmethod, self)\n .__get__(instance, owner))\n isabstractmethod = getattr(self, '__isabstractmethod__', False)\n if isabstractmethod:\n result.__isabstractmethod__ = isabstractmethod\n abstractmethods = getattr(owner, '__abstractmethods__', None)\n if abstractmethods and result.__name__ in abstractmethods:\n result.__dontcall__ = True\n return result\n\n\nclass abstractclassmethod(_classmethod): # noqa\n \"\"\" New decorator class that implements the @abstractclassmethod decorator\n added in Python 3.3 for Python 2.7.\n\n Kudos to http://stackoverflow.com/a/13640018/487903\n \"\"\"\n def __init__(self, func):\n func = abc.abstractmethod(func)\n super(abstractclassmethod, self).__init__(func)\n\n\nclass ColourStreamHandler(logging.StreamHandler):\n \"\"\" A colorized output StreamHandler\n\n Kudos to Leigh MacDonald: http://goo.gl/Lpr6C5\n \"\"\"\n\n # Some basic colour scheme defaults\n colours = {\n 'DEBUG': Fore.CYAN,\n 'INFO': Fore.GREEN,\n 'WARN': Fore.YELLOW,\n 'WARNING': Fore.YELLOW,\n 'ERROR': Fore.RED,\n 'CRIT': Back.RED + Fore.WHITE,\n 'CRITICAL': Back.RED + Fore.WHITE\n }\n\n @property\n def is_tty(self):\n \"\"\" Check if we are using a \"real\" TTY. If we are not using a TTY it\n means that the colour output should be disabled.\n\n :return: Using a TTY status\n :rtype: bool\n \"\"\"\n try:\n return getattr(self.stream, 'isatty', None)()\n except:\n return False\n\n def emit(self, record):\n try:\n message = self.format(record)\n if not self.is_tty:\n self.stream.write(message)\n else:\n self.stream.write(self.colours[record.levelname] +\n message + Style.RESET_ALL)\n self.stream.write(getattr(self, 'terminator', '\\n'))\n self.flush()\n except (KeyboardInterrupt, SystemExit):\n raise\n except:\n self.handleError(record)\n\n\nclass EventHandler(logging.Handler):\n \"\"\" Subclass of :py:class:`logging.Handler` that emits a\n :py:class:`blinker.base.Signal` whenever a new record is emitted.\n \"\"\"\n signals = blinker.Namespace()\n on_log_emit = signals.signal('logrecord', doc=\"\"\"\\\n Sent when a log record was emitted.\n\n :keyword :class:`logging.LogRecord` record: the LogRecord\n \"\"\")\n\n def emit(self, record):\n self.on_log_emit.send(record=record)\n\n\ndef get_data_dir(create=False):\n \"\"\" Return (and optionally create) the user's default data directory.\n\n :param create: Create the data directory if it doesn't exist\n :type create: bool\n :return: Path to the default data directory\n :rtype: unicode\n \"\"\"\n unix_dir_var = 'XDG_DATA_HOME'\n unix_dir_fallback = '~/.config'\n windows_dir_var = 'APPDATA'\n windows_dir_fallback = '~\\\\AppData\\\\Roaming'\n mac_dir = '~/Library/Application Support'\n base_dir = None\n if is_os('darwin'):\n if Path(unix_dir_fallback).exists:\n base_dir = unix_dir_fallback\n else:\n base_dir = mac_dir\n elif is_os('windows'):\n if windows_dir_var in os.environ:\n base_dir = os.environ[windows_dir_var]\n else:\n base_dir = windows_dir_fallback\n else:\n if unix_dir_var in os.environ:\n base_dir = os.environ[unix_dir_var]\n else:\n base_dir = unix_dir_fallback\n app_path = Path(base_dir)/'spreads'\n if create and not app_path.exists():\n app_path.mkdir()\n return unicode(app_path)\n\n\ndef colorize(text, color):\n \"\"\" Return text with a new ANSI foreground color.\n\n :param text: Text to be wrapped\n :param color: ANSI color to wrap text in\n :type color: str (from `colorama.ansi <http://git.io/9qnt0Q>`)\n :return: Colorized text\n \"\"\"\n return color + text + colorama.Fore.RESET\n\n\nclass RomanNumeral(object):\n \"\"\" Number type that represents integers as Roman numerals and that\n can be used in all arithmetic operations applicable to integers.\n \"\"\"\n @staticmethod\n def is_roman(value):\n \"\"\" Check if `value` is a valid Roman numeral.\n\n :param value: Value to be checked\n :type value: unicode\n :returns: Whether the value is valid or not\n :rtype: bool\n \"\"\"\n return bool(roman.romanNumeralPattern.match(value))\n\n def __init__(self, value, case='upper'):\n \"\"\" Create a new instance.\n\n :param value: Value of the instance\n :type value: int, unicode containing valid Roman numeral or\n :py:class:`RomanNumeral`\n \"\"\"\n self._val = self._to_int(value)\n self._case = case\n if isinstance(value, basestring) and not self.is_roman(value):\n self._case = 'lower'\n elif isinstance(value, RomanNumeral):\n self._case = value._case\n\n def _to_int(self, value):\n if isinstance(value, int):\n return value\n elif isinstance(value, basestring) and self.is_roman(value.upper()):\n return roman.fromRoman(value.upper())\n elif isinstance(value, RomanNumeral):\n return value._val\n else:\n raise ValueError(\"Value must be a valid roman numeral, a string\"\n \" representing one or an integer: '{0}'\"\n .format(value))\n\n def __cmp__(self, other):\n if self._val > self._to_int(other):\n return 1\n elif self._val == self._to_int(other):\n return 0\n elif self._val < self._to_int(other):\n return -1\n\n def __add__(self, other):\n return RomanNumeral(self._val + self._to_int(other), self._case)\n\n def __sub__(self, other):\n return RomanNumeral(self._val - self._to_int(other), self._case)\n\n def __int__(self):\n return self._val\n\n def __str__(self):\n strval = roman.toRoman(self._val)\n if self._case == 'lower':\n return strval.lower()\n else:\n return strval\n\n def __unicode__(self):\n return unicode(str(self))\n\n def __repr__(self):\n return str(self)\n\n\nclass CustomJSONEncoder(json.JSONEncoder):\n \"\"\" Custom :py:class:`json.JSONEncoder`.\n\n Uses an object's `to_dict` method if present for serialization.\n\n Serializes :py:class:`pathlib.Path` instances to the string\n representation of their relative path to a BagIt-compliant directory or\n their absolute path if not applicable.\n \"\"\"\n def default(self, obj):\n if hasattr(obj, 'to_dict'):\n return obj.to_dict()\n if isinstance(obj, Path):\n # Serialize paths that belong to a workflow as paths relative to\n # its base directory\n base = next((p for p in obj.parents if (p/'bagit.txt').exists()),\n None)\n if base:\n return unicode(obj.relative_to(base))\n else:\n return unicode(obj.absolute())\n return json.JSONEncoder.default(self, obj)\n", "length": 14758, "entities": "[['EMAIL_ADDRESS', 'dummy@email.com'], ['DATE_TIME', '2014'], ['PERSON', 'Johannes Baiter'], ['PERSON', 'get_subprocess(cmdline'], ['PERSON', 'Armin Ronacher'], ['PERSON', 'punctuation_re'], ['PERSON', 'Kudos'], ['PERSON', 'Leigh MacDonald'], ['URL', 'blinker.Na'], ['URL', 'signals.si'], ['NRP', 'Serialize'], ['LOCATION', 'next((p'], ['LOCATION', 'unicode(obj.relative_to(base'], ['URL', 'http://www.gnu.org/licenses/'], ['URL', 'http://flask.pocoo.org/snippets/5/'], ['URL', 'http://stackoverflow.com/a/13640018/487903'], ['URL', 'http://goo.gl/Lpr6C5'], ['URL', 'http://git.io/9qnt0Q'], ['URL', 'email.com'], ['URL', 'spreads.vendor.pa'], ['URL', 'resources.re'], ['URL', 'name.st'], ['URL', 'winreg.HK'], ['URL', 'os.pa'], ['URL', 'os.environ.ge'], ['URL', 'os.ge'], ['URL', 'os.environ.ge'], ['URL', 'os.path.jo'], ['URL', 'os.path.jo'], ['URL', 'os.environ.ge'], ['URL', 'os.pa'], ['URL', 'platform.sy'], ['URL', 'platform.sy'], ['URL', 'subprocess.ms'], ['URL', 'subprocess.ST'], ['URL', 'subprocess.ST'], ['URL', 'su.wS'], ['URL', 'glob.gl'], ['URL', 'old.it'], ['URL', 'delimiter.jo'], ['URL', 'self.ca'], ['URL', 'self.ca'], ['URL', 'self.ca'], ['URL', 'logging.St'], ['URL', 'Fore.CY'], ['URL', 'Fore.GR'], ['URL', 'Fore.YE'], ['URL', 'Fore.YE'], ['URL', 'Fore.RED'], ['URL', 'Back.RED'], ['URL', 'Back.RED'], ['URL', 'self.st'], ['URL', 'self.fo'], ['URL', 'self.is'], ['URL', 'self.st'], ['URL', 'self.st'], ['URL', 'self.co'], ['URL', 'Style.RE'], ['URL', 'self.st'], ['URL', 'blinker.base.Si'], ['URL', 'emit.se'], ['URL', 'path.mk'], ['URL', 'colorama.an'], ['URL', 'colorama.Fore.RE'], ['URL', 'roman.romanNumeralPattern.ma'], ['URL', 'self.is'], ['URL', 'self.is'], ['URL', 'roman.fr'], ['URL', 'roman.to'], ['URL', 'pathlib.Pa'], ['URL', 'obj.to'], ['URL', 'obj.pa'], ['URL', 'obj.re'], ['URL', 'json.JSONEncoder.de']]"}
{"Unnamed: 0": 5, "code": "\"\"\"\n orthopoly.py - A suite of functions for generating orthogonal polynomials\n and quadrature rules.\n\n Copyright (c) 2014 Greg von Winckel\n All rights reserved.\n\n Permission is hereby granted, free of charge, to any person obtaining\n a copy of this software and associated documentation files (the\n \"Software\"), to deal in the Software without restriction, including\n without limitation the rights to use, copy, modify, merge, publish,\n distribute, sublicense, and/or sell copies of the Software, and to\n permit persons to whom the Software is furnished to do so, subject to\n the following conditions:\n\n The above copyright notice and this permission notice shall be\n included in all copies or substantial portions of the Software.\n\n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\n EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\n IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\n CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\n TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\n SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n Last updated on Wed Jan 1 14:29:25 MST 2014\n\n Modified by David A. Ham (dummy@email.com), 2016\n\"\"\"\n\nimport numpy as np\nfrom functools import reduce\nfrom math import gamma\n\n\ndef gauss(alpha, beta):\n \"\"\"\n Compute the Gauss nodes and weights from the recursion\n coefficients associated with a set of orthogonal polynomials\n\n Inputs:\n alpha - recursion coefficients\n beta - recursion coefficients\n\n Outputs:\n x - quadrature nodes\n w - quadrature weights\n\n Adapted from the MATLAB code by Walter Gautschi\n http://www.cs.purdue.edu/archives/2002/wxg/codes/gauss.m\n \"\"\"\n\n from numpy.linalg import eigh\n\n A = np.diag(np.sqrt(beta)[1:], 1) + np.diag(alpha)\n x, V = eigh(A, \"U\")\n\n w = beta[0] * np.real(np.power(V[0, :], 2))\n return x, w\n\n\ndef lobatto(alpha, beta, xl1, xl2):\n \"\"\"\n Compute the Lobatto nodes and weights with the preassigned\n nodea xl1,xl2\n\n Inputs:\n alpha - recursion coefficients\n beta - recursion coefficients\n xl1 - assigned node location\n xl2 - assigned node location\n\n Outputs:\n x - quadrature nodes\n w - quadrature weights\n\n Based on the section 7 of the paper\n \"Some modified matrix eigenvalue problems\"\n by Gene Golub, SIAM Review Vol 15, No. 2, April 1973, pp.318--334\n \"\"\"\n from numpy.linalg import solve\n n = len(alpha) - 1\n en = np.zeros(n)\n en[-1] = 1\n A1 = np.vstack((np.sqrt(beta), alpha - xl1))\n J1 = np.diag(A1[0, 1:-1], 1) + np.diag(A1[1, 1:]) + np.diag(A1[0, 1:-1], -1)\n A2 = np.vstack((np.sqrt(beta), alpha - xl2))\n J2 = np.diag(A2[0, 1:-1], 1) + np.diag(A2[1, 1:]) + np.diag(A2[0, 1:-1], -1)\n g1 = solve(J1, en)\n g2 = solve(J2, en)\n C = np.array(((1, -g1[-1]), (1, -g2[-1])))\n xl = np.array((xl1, xl2))\n ab = solve(C, xl)\n\n alphal = alpha\n alphal[-1] = ab[0]\n betal = beta\n betal[-1] = ab[1]\n x, w = gauss(alphal, betal)\n return x, w\n\n\ndef rec_jacobi(N, a, b):\n \"\"\"\n Generate the recursion coefficients alpha_k, beta_k\n\n P_{k+1}(x) = (x-alpha_k)*P_{k}(x) - beta_k P_{k-1}(x)\n\n for the Jacobi polynomials which are orthogonal on [-1,1]\n with respect to the weight w(x)=[(1-x)^a]*[(1+x)^b]\n\n Inputs:\n N - polynomial order\n a - weight parameter\n b - weight parameter\n\n Outputs:\n alpha - recursion coefficients\n beta - recursion coefficients\n\n Adapted from the MATLAB code by Dirk Laurie and Walter Gautschi\n http://www.cs.purdue.edu/archives/2002/wxg/codes/r_jacobi.m\n \"\"\"\n\n nu = (b - a) / float(a + b + 2)\n mu = 2 ** (a + b + 1) * gamma(a + 1) * gamma(b + 1) / gamma(a + b + 2)\n\n if N == 1:\n alpha = nu\n beta = mu\n else:\n n = np.arange(1.0, N)\n nab = 2 * n + a + b\n alpha = np.hstack((nu, (b ** 2 - a ** 2) / (nab * (nab + 2))))\n n = n[1:]\n nab = nab[1:]\n B1 = 4 * (a + 1) * (b + 1) / float((a + b + 2) ** 2 * (a + b + 3))\n B = 4 * (n + a) * (n + b) * n * (n + a + b) / \\\n (nab ** 2 * (nab + 1) * (nab - 1))\n beta = np.hstack((mu, B1, B))\n\n return alpha, beta\n\n\ndef rec_jacobi01(N, a, b):\n \"\"\"\n Generate the recursion coefficients alpha_k, beta_k\n for the Jacobi polynomials which are orthogonal on [0,1]\n\n See rec_jacobi for the recursion coefficients on [-1,1]\n\n Inputs:\n N - polynomial order\n a - weight parameter\n b - weight parameter\n\n Outputs:\n alpha - recursion coefficients\n beta - recursion coefficients\n\n Adapted from the MATLAB implementation:\n https://www.cs.purdue.edu/archives/2002/wxg/codes/r_jacobi01.m\n\n \"\"\"\n\n if a <= -1 or b <= -1:\n raise ValueError('''Jacobi coefficients are defined only\n for alpha,beta > -1''')\n\n if not isinstance(N, int):\n raise TypeError('N must be an integer')\n\n if N < 1:\n raise ValueError('N must be at least 1')\n\n c, d = rec_jacobi(N, a, b)\n\n alpha = (1 + c) / 2\n beta = d / 4\n beta[0] = d[0] / 2 ** (a + b + 1)\n\n return alpha, beta\n\n\ndef polyval(alpha, beta, x):\n \"\"\"\n Evaluate polynomials on x given the recursion coefficients alpha and beta\n \"\"\"\n\n N = len(alpha)\n m = len(x)\n P = np.zeros((m, N + 1))\n\n P[:, 0] = 1\n P[:, 1] = (x - alpha[0]) * P[:, 0]\n\n for k in range(1, N):\n P[:, k + 1] = (x - alpha[k]) * P[:, k] - beta[k] * P[:, k - 1]\n\n return P\n\n\ndef jacobi(N, a, b, x, NOPT=1):\n \"\"\"\n JACOBI computes the Jacobi polynomials which are orthogonal on [-1,1]\n with respect to the weight w(x)=[(1-x)^a]*[(1+x)^b] and evaluate them\n on the given grid up to P_N(x). Setting NOPT=2 returns the\n L2-normalized polynomials\n \"\"\"\n\n m = len(x)\n P = np.zeros((m, N + 1))\n\n apb = a + b\n a1 = a - 1\n b1 = b - 1\n c = apb * (a - b)\n\n P[:, 0] = 1\n\n if N > 0:\n P[:, 1] = 0.5 * (a - b + (apb + 2) * x)\n\n if N > 1:\n for k in range(2, N + 1):\n k2 = 2 * k\n g = k2 + apb\n g1 = g - 1\n g2 = g - 2\n d = 2.0 * (k + a1) * (k + b1) * g\n P[:, k] = (g1 * (c + g2 * g * x) * P[:, k - 1] -\n d * P[:, k - 2]) / (k2 * (k + apb) * g2)\n\n if NOPT == 2:\n k = np.arange(N + 1)\n pnorm = 2 ** (apb + 1) * gamma(k + a + 1) * gamma(k + b + 1) / \\\n ((2 * k + a + b + 1) * (gamma(k + 1) * gamma(k + a + b + 1)))\n P *= 1 / np.sqrt(pnorm)\n return P\n\n\ndef jacobiD(N, a, b, x, NOPT=1):\n \"\"\"\n JACOBID computes the first derivatives of the normalized Jacobi\n polynomials which are orthogonal on [-1,1] with respect\n to the weight w(x)=[(1-x)^a]*[(1+x)^b] and evaluate them\n on the given grid up to P_N(x). Setting NOPT=2 returns\n the derivatives of the L2-normalized polynomials\n \"\"\"\n\n z = np.zeros((len(x), 1))\n if N == 0:\n Px = z\n else:\n\n Px = 0.5 * np.hstack((z, jacobi(N - 1, a + 1, b + 1, x, NOPT) *\n ((a + b + 2 + np.arange(N)))))\n return Px\n\n\ndef mm_log(N, a):\n \"\"\"\n MM_LOG Modified moments for a logarithmic weight function.\n\n The call mm=MM_LOG(n,a) computes the first n modified moments of the\n logarithmic weight function w(t)=t^a log(1/t) on [0,1] relative to\n shifted Legendre polynomials.\n\n REFERENCE: Walter Gautschi,``On the preceding paper `A Legendre\n polynomial integral' by James L. Blue'',\n Math. Comp. 33 (1979), 742-743.\n\n Adapted from the MATLAB implementation:\n https://www.cs.purdue.edu/archives/2002/wxg/codes/mm_log.m\n \"\"\"\n\n if a <= -1:\n raise ValueError('Parameter a must be greater than -1')\n\n prod = lambda z: reduce(lambda x, y: x * y, z, 1)\n\n mm = np.zeros(N)\n\n c = 1\n for n in range(N):\n if isinstance(a, int) and a < n:\n\n p = range(n - a, n + a + 2)\n mm[n] = (-1) ** (n - a) / prod(p)\n mm[n] *= gamma(a + 1) ** 2\n\n else:\n if n == 0:\n mm[0] = 1 / (a + 1) ** 2\n else:\n k = np.arange(1, n + 1)\n s = 1 / (a + 1 + k) - 1 / (a + 1 - k)\n p = (a + 1 - k) / (a + 1 + k)\n mm[n] = (1 / (a + 1) + sum(s)) * prod(p) / (a + 1)\n\n mm[n] *= c\n c *= 0.5 * (n + 1) / (2 * n + 1)\n\n return mm\n\n\ndef mod_chebyshev(N, mom, alpham, betam):\n \"\"\"\n Calcuate the recursion coefficients for the orthogonal polynomials\n which are are orthogonal with respect to a weight function which is\n represented in terms of its modifed moments which are obtained by\n integrating the monic polynomials against the weight function.\n\n References\n ----------\n\n John C. Wheeler, \"Modified moments and Gaussian quadratures\"\n Rocky Mountain Journal of Mathematics, Vol. 4, Num. 2 (1974), 287--296\n\n Walter Gautschi, \"Orthogonal Polynomials (in Matlab)\n Journal of Computational and Applied Mathematics, Vol. 178 (2005) 215--234\n\n Adapted from the MATLAB implementation:\n https://www.cs.purdue.edu/archives/2002/wxg/codes/chebyshev.m\n\n \"\"\"\n\n if not isinstance(N, int):\n raise TypeError('N must be an integer')\n\n if N < 1:\n raise ValueError('N must be at least 1')\n\n N = min(N, int(len(mom) / 2))\n\n alpha = np.zeros(N)\n beta = np.zeros(N)\n normsq = np.zeros(N)\n sig = np.zeros((N + 1, 2 * N))\n\n alpha[0] = alpham[0] + mom[1] / mom[0]\n beta[0] = mom[0]\n\n sig[1, :] = mom\n\n for n in range(2, N + 1):\n for m in range(n - 1, 2 * N - n + 1):\n sig[n, m] = sig[n - 1, m + 1] - (alpha[n - 2] - alpham[m]) * sig[n - 1, m] - \\\n beta[n - 2] * sig[n - 2, m] + betam[m] * sig[n - 1, m - 1]\n\n alpha[n - 1] = alpham[n - 1] + sig[n, n] / sig[n, n - 1] - sig[n - 1, n - 1] / \\\n sig[n - 1, n - 2]\n beta[n - 1] = sig[n, n - 1] / sig[n - 1, n - 2]\n\n normsq = np.diagonal(sig, -1)\n\n return alpha, beta, normsq\n\n\ndef rec_jaclog(N, a):\n \"\"\"\n Generate the recursion coefficients alpha_k, beta_k\n\n P_{k+1}(x) = (x-alpha_k)*P_{k}(x) - beta_k P_{k-1}(x)\n\n for the monic polynomials which are orthogonal on [0,1]\n with respect to the weight w(x)=x^a*log(1/x)\n\n Inputs:\n N - polynomial order\n a - weight parameter\n\n Outputs:\n alpha - recursion coefficients\n beta - recursion coefficients\n\n Adated from the MATLAB code:\n https://www.cs.purdue.edu/archives/2002/wxg/codes/r_jaclog.m\n \"\"\"\n alphaj, betaj = rec_jacobi01(2 * N, 0, 0)\n mom = mm_log(2 * N, a)\n alpha, beta, _ = mod_chebyshev(N, mom, alphaj, betaj)\n return alpha, beta\n", "length": 10886, "entities": "[['EMAIL_ADDRESS', 'dummy@email.com'], ['DATE_TIME', '2014'], ['PERSON', 'Greg von Winckel'], ['LOCATION', 'DAMAGES'], ['PERSON', 'WHETHER'], ['DATE_TIME', 'Wed Jan 1'], ['DATE_TIME', '2014'], ['PERSON', 'David A. Ham'], ['DATE_TIME', '2016'], ['PERSON', 'Walter Gautschi\\n '], ['PERSON', 'Gene Golub'], ['DATE_TIME', 'April 1973'], ['LOCATION', 'P_{k+1}(x'], ['PERSON', 'Dirk Laurie'], ['PERSON', 'Walter Gautschi\\n '], ['LOCATION', \"ValueError('N\"], ['PERSON', 'NOPT'], ['PERSON', 'Px'], ['PERSON', 'Px'], ['PERSON', 'NOPT'], ['PERSON', 'Walter Gautschi,``On'], ['PERSON', \"James L. Blue''\"], ['DATE_TIME', '33 (1979'], ['LOCATION', 'mm[0'], ['LOCATION', 'alpham'], ['PERSON', 'betam'], ['PERSON', 'John C. Wheeler'], ['NRP', 'Gaussian'], ['DATE_TIME', '1974'], ['PERSON', 'Walter Gautschi'], ['DATE_TIME', '2005'], ['LOCATION', \"ValueError('N\"], ['DATE_TIME', 'min(N'], ['LOCATION', 'rec_jaclog(N'], ['LOCATION', 'P_{k+1}(x'], ['URL', 'http://www.cs.purdue.edu/archives/2002/wxg/codes/gauss.m'], ['URL', 'http://www.cs.purdue.edu/archives/2002/wxg/codes/r_jacobi.m'], ['URL', 'https://www.cs.purdue.edu/archives/2002/wxg/codes/r_jacobi01.m'], ['URL', 'https://www.cs.purdue.edu/archives/2002/wxg/codes/mm_log.m'], ['URL', 'https://www.cs.purdue.edu/archives/2002/wxg/codes/chebyshev.m'], ['URL', 'https://www.cs.purdue.edu/archives/2002/wxg/codes/r_jaclog.m'], ['URL', 'orthopoly.py'], ['URL', 'email.com'], ['URL', 'numpy.li'], ['URL', 'np.re'], ['URL', 'numpy.li'], ['URL', 'np.ar'], ['URL', 'np.ar'], ['URL', 'np.ar'], ['URL', 'np.ar'], ['URL', 'np.ar'], ['URL', 'np.ar']]"}
{"Unnamed: 0": 6, "code": "## @package TriggerObjectBlock_cfi\n# Configuration file that defines the producer of ROOT-tuple for trigger objects.\n#\n# \\author Subir Sarkar\n# \\author Rosamaria Venditti (INFN Bari, Bari University)\n# \\author Konstantin Androsov (University of Siena, INFN Pisa)\n# \\author Maria Teresa Grippo (University of Siena, INFN Pisa)\n#\n# Copyright 2011-2013 Subir Sarkar, Rosamaria Venditti (INFN Bari, Bari University)\n# Copyright 2014 Konstantin Androsov dummy@email.com,\n# Maria Teresa Grippo dummy@email.com\n#\n# This file is part of X->HH->bbTauTau.\n#\n# X->HH->bbTauTau is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 2 of the License, or\n# (at your option) any later version.\n#\n# X->HH->bbTauTau is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with X->HH->bbTauTau. If not, see <http://www.gnu.org/licenses/>.\n\nimport FWCore.ParameterSet.Config as cms\n\ntriggerObjectBlock = cms.EDAnalyzer(\"TriggerObjectBlock\",\n verbosity = cms.int32(0),\n hltInputTag = cms.InputTag('TriggerResults','','HLT'),\n triggerEventTag = cms.InputTag('patTriggerEvent'),\n hltPathsOfInterest = cms.vstring (\"HLT_DoubleMu\",\n \"HLT_Mu\",\n \"HLT_IsoMu\",\n \"HLT_TripleMu\",\n \"IsoPFTau\",\n \"TrkIsoT\",\n \"HLT_Ele\"),\n May10ReRecoData = cms.bool(False)\n)\n", "length": 1844, "entities": "[['EMAIL_ADDRESS', 'dummy@email.com'], ['EMAIL_ADDRESS', 'dummy@email.com'], ['PERSON', 'Subir Sarkar'], ['PERSON', 'Rosamaria Venditti'], ['PERSON', 'Konstantin Androsov'], ['PERSON', 'Maria Teresa Grippo'], ['DATE_TIME', '2011-2013'], ['PERSON', 'Subir Sarkar'], ['PERSON', 'Rosamaria Venditti'], ['DATE_TIME', '2014'], ['PERSON', 'Konstantin Androsov'], ['PERSON', 'Maria Teresa Grippo'], ['PERSON', 'triggerEventTag = cms'], ['PERSON', \"InputTag('patTriggerEvent\"], ['URL', 'http://www.gnu.org/licenses/'], ['URL', 'email.com'], ['URL', 'email.com'], ['URL', 'FWCore.ParameterSet.Co'], ['URL', 'cms.int'], ['URL', 'cms.In'], ['URL', 'cms.In'], ['URL', 'cms.bo']]"}
{"Unnamed: 0": 8, "code": "#!/usr/bin/env python3\n# Copyright (c) 2017 The Bitcoin Core developers\n# Distributed under the MIT software license, see the accompanying\n# file COPYING or http://www.opensource.org/licenses/mit-license.php.\n\"\"\"Class for dashd node under test\"\"\"\n\nimport decimal\nimport errno\nimport http.client\nimport json\nimport logging\nimport os\nimport subprocess\nimport time\n\nfrom .authproxy import JSONRPCException\nfrom .mininode import NodeConn\nfrom .util import (\n assert_equal,\n get_rpc_proxy,\n rpc_url,\n wait_until,\n p2p_port,\n)\n\nBITCOIND_PROC_WAIT_TIMEOUT = 60\n\nclass TestNode():\n \"\"\"A class for representing a dashd node under test.\n\n This class contains:\n\n - state about the node (whether it's running, etc)\n - a Python subprocess.Popen object representing the running process\n - an RPC connection to the node\n - one or more P2P connections to the node\n\n\n To make things easier for the test writer, any unrecognised messages will\n be dispatched to the RPC connection.\"\"\"\n\n def __init__(self, i, dirname, extra_args, rpchost, timewait, binary, stderr, mocktime, coverage_dir):\n self.index = i\n self.datadir = os.path.join(dirname, \"node\" + str(i))\n self.rpchost = rpchost\n if timewait:\n self.rpc_timeout = timewait\n else:\n # Wait for up to 60 seconds for the RPC server to respond\n self.rpc_timeout = 60\n if binary is None:\n self.binary = os.getenv(\"BITCOIND\", \"dashd\")\n else:\n self.binary = binary\n self.stderr = stderr\n self.coverage_dir = coverage_dir\n # Most callers will just need to add extra args to the standard list below. For those callers that need more flexibity, they can just set the args property directly.\n self.extra_args = extra_args\n self.args = [self.binary, \"-datadir=\" + self.datadir, \"-server\", \"-keypool=1\", \"-discover=0\", \"-rest\", \"-logtimemicros\", \"-debug\", \"-debugexclude=libevent\", \"-debugexclude=leveldb\", \"-mocktime=\" + str(mocktime), \"-uacomment=testnode%d\" % i]\n\n self.cli = TestNodeCLI(os.getenv(\"BITCOINCLI\", \"dash-cli\"), self.datadir)\n\n # Don't try auto backups (they fail a lot when running tests)\n self.args.append(\"-createwalletbackups=0\")\n\n self.running = False\n self.process = None\n self.rpc_connected = False\n self.rpc = None\n self.url = None\n self.log = logging.getLogger('TestFramework.node%d' % i)\n\n self.p2ps = []\n\n def __getattr__(self, name):\n \"\"\"Dispatches any unrecognised messages to the RPC connection.\"\"\"\n assert self.rpc_connected and self.rpc is not None, \"Error: no RPC connection\"\n return getattr(self.rpc, name)\n\n def start(self, extra_args=None, stderr=None):\n \"\"\"Start the node.\"\"\"\n if extra_args is None:\n extra_args = self.extra_args\n if stderr is None:\n stderr = self.stderr\n self.process = subprocess.Popen(self.args + extra_args, stderr=stderr)\n self.running = True\n self.log.debug(\"dashd started, waiting for RPC to come up\")\n\n def wait_for_rpc_connection(self):\n \"\"\"Sets up an RPC connection to the dashd process. Returns False if unable to connect.\"\"\"\n # Poll at a rate of four times per second\n poll_per_s = 4\n for _ in range(poll_per_s * self.rpc_timeout):\n assert self.process.poll() is None, \"dashd exited with status %i during initialization\" % self.process.returncode\n try:\n self.rpc = get_rpc_proxy(rpc_url(self.datadir, self.index, self.rpchost), self.index, timeout=self.rpc_timeout, coveragedir=self.coverage_dir)\n self.rpc.getblockcount()\n # If the call to getblockcount() succeeds then the RPC connection is up\n self.rpc_connected = True\n self.url = self.rpc.url\n self.log.debug(\"RPC successfully started\")\n return\n except IOError as e:\n if e.errno != errno.ECONNREFUSED: # Port not yet open?\n raise # unknown IO error\n except JSONRPCException as e: # Initialization phase\n # -28 RPC in warmup\n # -342 Service unavailable, RPC server started but is shutting down due to error\n if e.error['code'] != -28 and e.error['code'] != -342:\n raise # unknown JSON RPC exception\n except ValueError as e: # cookie file not found and no rpcuser or rpcassword. dashd still starting\n if \"No RPC credentials\" not in str(e):\n raise\n time.sleep(1.0 / poll_per_s)\n raise AssertionError(\"Unable to connect to dashd\")\n\n def get_wallet_rpc(self, wallet_name):\n assert self.rpc_connected\n assert self.rpc\n wallet_path = \"wallet/%s\" % wallet_name\n return self.rpc / wallet_path\n\n def stop_node(self, wait=0):\n \"\"\"Stop the node.\"\"\"\n if not self.running:\n return\n self.log.debug(\"Stopping node\")\n try:\n self.stop(wait=wait)\n except http.client.CannotSendRequest:\n self.log.exception(\"Unable to stop node.\")\n del self.p2ps[:]\n\n def is_node_stopped(self):\n \"\"\"Checks whether the node has stopped.\n\n Returns True if the node has stopped. False otherwise.\n This method is responsible for freeing resources (self.process).\"\"\"\n if not self.running:\n return True\n return_code = self.process.poll()\n if return_code is None:\n return False\n\n # process has stopped. Assert that it didn't return an error code.\n assert_equal(return_code, 0)\n self.running = False\n self.process = None\n self.rpc_connected = False\n self.rpc = None\n self.log.debug(\"Node stopped\")\n return True\n\n def wait_until_stopped(self, timeout=BITCOIND_PROC_WAIT_TIMEOUT):\n wait_until(self.is_node_stopped, timeout=timeout)\n\n def node_encrypt_wallet(self, passphrase):\n \"\"\"\"Encrypts the wallet.\n\n This causes dashd to shutdown, so this method takes\n care of cleaning up resources.\"\"\"\n self.encryptwallet(passphrase)\n self.wait_until_stopped()\n\n def add_p2p_connection(self, p2p_conn, **kwargs):\n \"\"\"Add a p2p connection to the node.\n\n This method adds the p2p connection to the self.p2ps list and also\n returns the connection to the caller.\"\"\"\n if 'dstport' not in kwargs:\n kwargs['dstport'] = p2p_port(self.index)\n if 'dstaddr' not in kwargs:\n kwargs['dstaddr'] = '127.0.0.1'\n self.p2ps.append(p2p_conn)\n kwargs.update({'rpc': self.rpc, 'callback': p2p_conn})\n p2p_conn.add_connection(NodeConn(**kwargs))\n\n return p2p_conn\n\n @property\n def p2p(self):\n \"\"\"Return the first p2p connection\n\n Convenience property - most tests only use a single p2p connection to each\n node, so this saves having to write node.p2ps[0] many times.\"\"\"\n assert self.p2ps, \"No p2p connection\"\n return self.p2ps[0]\n\n def disconnect_p2ps(self):\n \"\"\"Close all p2p connections to the node.\"\"\"\n for p in self.p2ps:\n # Connection could have already been closed by other end.\n if p.connection is not None:\n p.connection.disconnect_node()\n self.p2ps = []\n\n\nclass TestNodeCLI():\n \"\"\"Interface to bitcoin-cli for an individual node\"\"\"\n\n def __init__(self, binary, datadir):\n self.args = []\n self.binary = binary\n self.datadir = datadir\n self.input = None\n\n def __call__(self, *args, input=None):\n # TestNodeCLI is callable with bitcoin-cli command-line args\n self.args = [str(arg) for arg in args]\n self.input = input\n return self\n\n def __getattr__(self, command):\n def dispatcher(*args, **kwargs):\n return self.send_cli(command, *args, **kwargs)\n return dispatcher\n\n def send_cli(self, command, *args, **kwargs):\n \"\"\"Run bitcoin-cli command. Deserializes returned string as python object.\"\"\"\n\n pos_args = [str(arg) for arg in args]\n named_args = [str(key) + \"=\" + str(value) for (key, value) in kwargs.items()]\n assert not (pos_args and named_args), \"Cannot use positional arguments and named arguments in the same bitcoin-cli call\"\n p_args = [self.binary, \"-datadir=\" + self.datadir] + self.args\n if named_args:\n p_args += [\"-named\"]\n p_args += [command] + pos_args + named_args\n process = subprocess.Popen(p_args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)\n cli_stdout, cli_stderr = process.communicate(input=self.input)\n returncode = process.poll()\n if returncode:\n # Ignore cli_stdout, raise with cli_stderr\n raise subprocess.CalledProcessError(returncode, self.binary, output=cli_stderr)\n return json.loads(cli_stdout, parse_float=decimal.Decimal)\n", "length": 9148, "entities": "[['DATE_TIME', '2017'], ['DATE_TIME', '.authproxy'], ['LOCATION', 'JSONRPCException'], ['PERSON', 'dirname'], ['PERSON', 'extra_args'], ['LOCATION', 'rpchost'], ['DATE_TIME', 'up to 60 seconds'], ['URL', 'logging.ge'], ['URL', 'TestFramework.no'], ['PERSON', 'extra_args'], ['URL', 'self.in'], ['URL', 'self.in'], ['URL', 'self.log.de'], ['LOCATION', 'JSONRPCException'], ['LOCATION', 'http.client'], ['LOCATION', 'p2p_conn'], ['PERSON', \"kwargs['dstport\"], ['LOCATION', 'self.p2ps.append(p2p_conn'], ['PERSON', 'returncode ='], ['URL', 'http://www.opensource.org/licenses/mit-license.php.'], ['IP_ADDRESS', '127.0.0.1'], ['URL', 'http.cl'], ['URL', 'self.in'], ['URL', 'os.path.jo'], ['URL', 'self.bi'], ['URL', 'os.ge'], ['URL', 'self.bi'], ['URL', 'self.st'], ['URL', 'self.co'], ['URL', 'self.ar'], ['URL', 'self.bi'], ['URL', 'self.cl'], ['URL', 'os.ge'], ['URL', 'self.ar'], ['URL', 'self.ru'], ['URL', 'self.pro'], ['URL', 'self.st'], ['URL', 'self.pro'], ['URL', 'self.ar'], ['URL', 'self.ru'], ['URL', 'self.log.de'], ['URL', 'self.pro'], ['URL', 'self.process.re'], ['URL', 'self.co'], ['URL', 'self.rpc.ge'], ['URL', 'e.er'], ['URL', 'errno.EC'], ['URL', 'e.er'], ['URL', 'e.er'], ['URL', 'time.sl'], ['URL', 'self.ru'], ['URL', 'self.log.de'], ['URL', 'self.st'], ['URL', 'http.client.Ca'], ['URL', 'self.pro'], ['URL', 'self.ru'], ['URL', 'self.pro'], ['URL', 'self.ru'], ['URL', 'self.pro'], ['URL', 'self.log.de'], ['URL', 'self.is'], ['URL', 'self.in'], ['URL', 'conn.ad'], ['URL', 'p.co'], ['URL', 'p.co'], ['URL', 'self.ar'], ['URL', 'self.bi'], ['URL', 'self.in'], ['URL', 'self.ar'], ['URL', 'self.in'], ['URL', 'self.se'], ['URL', 'kwargs.it'], ['URL', 'self.bi'], ['URL', 'self.ar'], ['URL', 'process.com'], ['URL', 'self.in'], ['URL', 'subprocess.Ca'], ['URL', 'self.bi'], ['URL', 'decimal.De']]"}
{"Unnamed: 0": 9, "code": "# !/usr/bin/python\n# Copyright (C) 2015 Red Hat, All rights reserved.\n# AUTHORS: Alex Collins dummy@email.com\n\nimport sys\nimport json\nimport subprocess\nimport collections\nfrom fnmatch import fnmatch as matches\nfrom docker.utils import kwargs_from_env\n\nimport docker\nimport selinux\n\n\"\"\"Atomic Utility Module\"\"\"\n\nReturnTuple = collections.namedtuple('ReturnTuple',\n ['return_code', 'stdout', 'stderr'])\n\nif sys.version_info[0] < 3:\n input = raw_input\nelse:\n input = input\n\n\ndef _decompose(compound_name):\n \"\"\" '[reg/]repo[:tag]' -> (reg, repo, tag) \"\"\"\n reg, repo, tag = '', compound_name, ''\n if '/' in repo:\n reg, repo = repo.split('/', 1)\n if ':' in repo:\n repo, tag = repo.rsplit(':', 1)\n return reg, repo, tag\n\n\ndef image_by_name(img_name, images=None):\n \"\"\"\n Returns a list of image data for images which match img_name. Will\n optionally take a list of images from a docker.Client.images\n query to avoid multiple docker queries.\n \"\"\"\n i_reg, i_rep, i_tag = _decompose(img_name)\n\n # Correct for bash-style matching expressions.\n if not i_reg:\n i_reg = '*'\n if not i_tag:\n i_tag = '*'\n\n # If the images were not passed in, go get them.\n if images is None:\n c = docker.Client(**kwargs_from_env())\n images = c.images(all=False)\n\n valid_images = []\n for i in images:\n for t in i['RepoTags']:\n reg, rep, tag = _decompose(t)\n if matches(reg, i_reg) \\\n and matches(rep, i_rep) \\\n and matches(tag, i_tag):\n valid_images.append(i)\n break\n # Some repo after decompose end up with the img_name\n # at the end. i.e. rhel7/rsyslog\n if rep.endswith(img_name):\n valid_images.append(i)\n break\n return valid_images\n\n\ndef subp(cmd):\n \"\"\"\n Run a command as a subprocess.\n Return a triple of return code, standard out, standard err.\n \"\"\"\n proc = subprocess.Popen(cmd, stdout=subprocess.PIPE,\n stderr=subprocess.PIPE)\n out, err = proc.communicate()\n return ReturnTuple(proc.returncode, stdout=out, stderr=err)\n\n\ndef default_container_context():\n if selinux.is_selinux_enabled() != 0:\n fd = open(selinux.selinux_lxc_contexts_path())\n for i in fd.readlines():\n name, context = i.split(\"=\")\n if name.strip() == \"file\":\n return context.strip(\"\\n\\\" \")\n return \"\"\n\n\ndef writeOut(output, lf=\"\\n\"):\n sys.stdout.flush()\n sys.stdout.write(str(output) + lf)\n\n\ndef output_json(json_data):\n ''' Pretty print json data '''\n writeOut(json.dumps(json_data, indent=4, separators=(',', ': ')))\n\n\ndef print_scan_summary(json_data, names=None):\n '''\n Print a summary of the data returned from a\n CVE scan.\n '''\n max_col_width = 50\n min_width = 15\n\n def _max_width(data):\n max_name = 0\n for name in data:\n max_name = len(data[name]) if len(data[name]) > max_name \\\n else max_name\n # If the max name length is less that max_width\n if max_name < min_width:\n max_name = min_width\n\n # If the man name is greater than the max col leng\n # we wish to use\n if max_name > max_col_width:\n max_name = max_col_width\n\n return max_name\n\n clean = True\n\n if len(names) > 0:\n max_width = _max_width(names)\n else:\n max_width = min_width\n template = \"{0:\" + str(max_width) + \"} {1:5} {2:5} {3:5} {4:5}\"\n sevs = ['critical', 'important', 'moderate', 'low']\n writeOut(template.format(\"Container/Image\", \"Cri\", \"Imp\", \"Med\", \"Low\"))\n writeOut(template.format(\"-\" * max_width, \"---\", \"---\", \"---\", \"---\"))\n res_summary = json_data['results_summary']\n for image in res_summary.keys():\n image_res = res_summary[image]\n if 'msg' in image_res.keys():\n tmp_tuple = (image_res['msg'], \"\", \"\", \"\", \"\")\n else:\n if len(names) < 1:\n image_name = image[:max_width]\n else:\n image_name = names[image][-max_width:]\n if len(image_name) == max_col_width:\n image_name = '...' + image_name[-(len(image_name) - 3):]\n\n tmp_tuple = tuple([image_name] +\n [str(image_res[sev]) for sev in sevs])\n sev_results = [image_res[sev] for sev in\n sevs if image_res[sev] > 0]\n if len(sev_results) > 0:\n clean = False\n writeOut(template.format(*tmp_tuple))\n writeOut(\"\")\n return clean\n\n\ndef print_detail_scan_summary(json_data, names=None):\n '''\n Print a detailed summary of the data returned from\n a CVE scan.\n '''\n clean = True\n sevs = ['Critical', 'Important', 'Moderate', 'Low']\n cve_summary = json_data['host_results']\n image_template = \" {0:10}: {1}\"\n cve_template = \" {0:10}: {1}\"\n for image in cve_summary.keys():\n image_res = cve_summary[image]\n writeOut(\"\")\n writeOut(image[:12])\n if not image_res['isRHEL']:\n writeOut(image_template.format(\"Result\",\n \"Not based on Red Hat\"\n \"Enterprise Linux\"))\n continue\n else:\n writeOut(image_template.format(\"OS\", image_res['os'].rstrip()))\n scan_results = image_res['cve_summary']['scan_results']\n\n for sev in sevs:\n if sev in scan_results:\n clean = False\n writeOut(image_template.format(sev,\n str(scan_results[sev]['num'])))\n for cve in scan_results[sev]['cves']:\n writeOut(cve_template.format(\"CVE\", cve['cve_title']))\n writeOut(cve_template.format(\"CVE URL\",\n cve['cve_ref_url']))\n writeOut(cve_template.format(\"RHSA ID\",\n cve['rhsa_ref_id']))\n writeOut(cve_template.format(\"RHSA URL\",\n cve['rhsa_ref_url']))\n writeOut(\"\")\n return clean\n\n\ndef get_mounts_by_path():\n '''\n Gets all mounted devices and paths\n :return: dict of mounted devices and related information by path\n '''\n mount_info = []\n f = open('/proc/mounts', 'r')\n for line in f:\n _tmp = line.split(\" \")\n mount_info.append({'path': _tmp[1],\n 'device': _tmp[0],\n 'type': _tmp[2],\n 'options': _tmp[3]\n }\n )\n return mount_info\n\n\ndef is_dock_obj_mounted(docker_obj):\n '''\n Check if the provided docker object, which needs to be an ID,\n is currently mounted and should be considered \"busy\"\n :param docker_obj: str, must be in ID format\n :return: bool True or False\n '''\n mount_info = get_mounts_by_path()\n devices = [x['device'] for x in mount_info]\n # If we can find the ID of the object in the list\n # of devices which comes from mount, safe to assume\n # it is busy.\n return any(docker_obj in x for x in devices)\n\n\ndef urllib3_disable_warnings():\n if 'requests' not in sys.modules:\n import requests\n else:\n requests = sys.modules['requests']\n\n # On latest Fedora, this is a symlink\n if hasattr(requests, 'packages'):\n requests.packages.urllib3.disable_warnings() # pylint: disable=maybe-no-member\n else:\n # But with python-requests-2.4.3-1.el7.noarch, we need\n # to talk to urllib3 directly\n have_urllib3 = False\n try:\n if 'urllib3' not in sys.modules:\n import urllib3\n have_urllib3 = True\n except ImportError:\n pass\n if have_urllib3:\n # Except only call disable-warnings if it exists\n if hasattr(urllib3, 'disable_warnings'):\n urllib3.disable_warnings()\n", "length": 8241, "entities": "[['EMAIL_ADDRESS', 'dummy@email.com'], ['PERSON', 'Alex Collins'], ['LOCATION', 'name.strip'], ['PERSON', 'json'], ['PERSON', 'separators='], ['PERSON', 'max'], ['PERSON', 'sevs'], ['PERSON', 'sev'], ['LOCATION', 'sevs'], ['PERSON', 'sev'], ['LOCATION', 'sevs'], ['PERSON', 'sev'], ['URL', 'template.fo'], ['LOCATION', 'sys.modules'], ['URL', 'sys.mo'], ['URL', 'requests.pa'], ['LOCATION', 'sys.modules'], ['URL', 'sys.mo'], ['URL', 'email.com'], ['URL', 'collections.na'], ['URL', 'sys.ve'], ['URL', 'repo.rs'], ['URL', 'docker.Client.im'], ['URL', 'docker.Cl'], ['URL', 'c.im'], ['URL', 'proc.com'], ['URL', 'proc.re'], ['URL', 'selinux.is'], ['URL', 'selinux.se'], ['URL', 'fd.re'], ['URL', 'name.st'], ['URL', 'context.st'], ['URL', 'sys.st'], ['URL', 'sys.st'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'summary.ke'], ['URL', 'res.ke'], ['URL', 'template.fo'], ['URL', 'summary.ke'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'template.fo'], ['URL', 'sys.mo'], ['URL', 'python-requests-2.4.3-1.el7.no']]"}
{"idx": 1859, "inputs": "hypothesis: Al Rashi is an executive of the police. premise: Sunday's explosion outside the Al-Rashi police station in the Al-Mashtel neighbourhood in the southeast of Baghdad, left a huge crater in the street.", "targets": "not_entailment"}
{"idx": 21, "inputs": "hypothesis: Everglades National Park is located in Florida. premise: Many hopes are riding on the sale of Talisman's holdings in Palm Beach and Hendry counties, which Vice President Al Gore announced with much fanfare last year at the 50th anniversary of Everglades National Park.", "targets": "not_entailment"}
{"idx": 1138, "inputs": "hypothesis: The introduction of the euro has been opposed. premise: The most recent poll carried out by NOP market research in January revealed that 61% of Britons are opposed to joining the euro.", "targets": "entailment"}
{"idx": 1346, "inputs": "hypothesis: The Istiqlal Mosque is one of the largest mosques in Southeast Asia. premise: The Istiqlal Mosque, in the northeast corner of Medan Merdeka opposite Lapangan Banteng, is one of the largest mosques in Southeast Asia.", "targets": "entailment"}
{"idx": 463, "inputs": "hypothesis: Nike said orders for footwear and apparel for delivery totaled $4.9 billion, including a 12 percent increase in U.S. orders. premise: Nike Inc. said, Monday, that its first-quarter profit grew 32 percent, as the world's largest sneaker and athletic apparel company posted broad gains in sales and orders.", "targets": "not_entailment"}
{"idx": 1242, "inputs": "hypothesis: Italian director is awarded an honorary Oscar. premise: Oscar-winning director Franco Zeffirelli has been awarded an honorary knighthood for his \"valuable services to British performing arts\".", "targets": "not_entailment"}
{"idx": 2343, "inputs": "hypothesis: The literacy rate in Cuba is 90%. premise: By 1979, the literacy rate in Cuba was higher than 90%, comparable to the rates in the United States and other developed countries.", "targets": "not_entailment"}
{"idx": 2383, "inputs": "hypothesis: The government of Ecuador aims to prevent trafficking in persons. premise: Exercising the powers referred to in article 15, paragraph 3, of the protocol to suppress and punish trafficking in persons, especially women and children, the government of Ecuador makes a reservation with regard to article 15, paragraph 2, relating to the settlement of disputes.", "targets": "entailment"}
{"idx": 1953, "inputs": "hypothesis: The abbreviation GIA stands for Armed Islamic Group. premise: Government forces killed the head of the Armed Islamic Group, or GIA, which has claimed responsibility for killing 61 foreigners in the last year.", "targets": "entailment"}
{"idx": 844, "inputs": "hypothesis: Tom Online earned US$42.78 mn in three months. premise: Tom Online revenues for the three months ended June 30, 2005 were US$42.78 mn, an increase of 38.5% over the same period in 2004.", "targets": "entailment"}
{"id": "MDSA_2009_4_30", "context": "sent1: leo is a kind of constellation sent2: the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year sent3: a constellation contains stars", "question": "Stars are organized into patterns called constellations. One constellation is named Leo. Which statement best explains why Leo appears in different areas of the sky throughout the year?", "answer": "Earth revolves around the sun.", "hypothesis": "the earth revolving around the sun causes leo to appear in different areas in the sky at different times of year", "proof": "sent1 & sent3 -> int1: leo is a constellation containing stars; int1 & sent2 -> hypothesis; ", "full_text_proof": " [BECAUSE] leo is a kind of constellation [AND] a constellation contains stars [INFER] int1: leo is a constellation containing stars [BECAUSE] int1 [AND] the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year [INFER] int2: the earth revolving around the sun causes leo to appear in different areas in the sky at different times of year", "depth_of_proof": 2, "length_of_proof": 2, "meta": {"question_text": "Stars are organized into patterns called constellations. One constellation is named Leo. Which statement best explains why Leo appears in different areas of the sky throughout the year?", "answer_text": "Earth revolves around the sun.", "hypothesis_id": "int2", "triples": {"sent1": "leo is a kind of constellation", "sent2": "the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year", "sent3": "a constellation contains stars", "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "leo is a constellation containing stars", "int2": "the earth revolving around the sun causes leo to appear in different areas in the sky at different times of year", "int3": null, "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year"], "step_proof": "sent1 & sent3 -> int1: leo is a constellation containing stars; int1 & sent2 -> hypothesis; ", "lisp_proof": "((((sent1 sent3) -> int1) sent2) -> int2)", "polish_proof": "# int2 & # int1 & sent1 sent3 sent2", "worldtree_provenance": {"sent1": {"uuid": "db62-4c2e-6a9d-8b12", "original_text": "a constellation contains stars"}, "sent2": {"uuid": "986b-2bb0-3244-7133", "original_text": "leo is a kind of constellation"}, "sent3": {"uuid": "b018-4375-d391-cb98", "original_text": "the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year"}, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [], "delete_list": [{"uuid": "02f7-3d00-6d43-0289", "fact": "revolving is a kind of motion"}, {"uuid": "5471-05b0-00bd-1669", "fact": "the earth revolves around the sun"}, {"uuid": "b107-d162-bbc9-c5d8", "fact": "a complete revolution / orbit of a planet around its star takes 1 / one planetary year"}, {"uuid": "dbe8-e776-f804-99a0", "fact": "a star is a kind of celestial object / celestial body"}, {"uuid": "b107-d162-bbc9-c5d8", "fact": "a complete revolution / orbit of a planet around its star takes 1 / one planetary year"}, {"uuid": "c857-31f7-5afc-4f91", "fact": "if something is caused by something else , then that something can be explained by that something else"}, {"uuid": "e682-f47d-cc9c-a67c", "fact": "a complete revolution / orbit of the earth around the sun takes 1 / one year / solar year / earth year"}, {"uuid": "dd72-d102-0d14-a753", "fact": "revolving is a kind of action"}, {"uuid": "406d-464a-cfa5-7b67", "fact": "years are a kind of unit for measuring time"}, {"uuid": "50fe-e0b2-8acf-6f7c", "fact": "a planet is a kind of celestial object / celestial body"}, {"uuid": "3678-1c03-c983-ba31", "fact": "a revolution occurs when something revolves around something else"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "3805-d6f6-27c6-a859", "fact": "orbit is a kind of characteristic"}, {"uuid": "af26-8083-b908-7d3b", "fact": "the sun is a kind of star"}, {"uuid": "8d34-3a25-f54d-9185", "fact": "our sun is located at the center of our solar system"}, {"uuid": "4e12-62f2-0830-d602", "fact": "the sun is the star that is closest to earth"}, {"uuid": "49f5-727d-92b5-03aa", "fact": "the earth rotating on its axis causes stars / the moon to appear to move across the sky at night"}]}}
{"id": "Mercury_SC_LBS10351", "context": "sent1: earth is a kind of celestial object sent2: stars appear to move relative to the horizon during the night sent3: a star is a kind of celestial object / celestial body sent4: the earth rotating on its axis causes stars to appear to move across the sky at night sent5: apparent motion is when an object appears to move relative to another object 's position", "question": "How does the appearance of a constellation change during the night?", "answer": "Its position appears to shift relative to the horizon.", "hypothesis": "the earth rotating on its axis causes stars to move relative to the horizon during the night", "proof": "sent1 & sent3 & sent5 -> int1: apparent motion of stars is when stars appear to move relative to earth's position; int1 & sent4 -> int2: the earth rotating on its axis causes apparent motion of stars; int2 & sent2 -> hypothesis; ", "full_text_proof": " [BECAUSE] earth is a kind of celestial object [AND] a star is a kind of celestial object / celestial body [AND] apparent motion is when an object appears to move relative to another object 's position [INFER] int1: apparent motion of stars is when stars appear to move relative to earth's position [BECAUSE] int1 [AND] the earth rotating on its axis causes stars to appear to move across the sky at night [INFER] int2: the earth rotating on its axis causes apparent motion of stars [BECAUSE] int2 [AND] stars appear to move relative to the horizon during the night [INFER] int3: the earth rotating on its axis causes stars to move relative to the horizon during the night", "depth_of_proof": 3, "length_of_proof": 3, "meta": {"question_text": "How does the appearance of a constellation change during the night?", "answer_text": "Its position appears to shift relative to the horizon.", "hypothesis_id": "int3", "triples": {"sent1": "earth is a kind of celestial object", "sent2": "stars appear to move relative to the horizon during the night", "sent3": "a star is a kind of celestial object / celestial body", "sent4": "the earth rotating on its axis causes stars to appear to move across the sky at night", "sent5": "apparent motion is when an object appears to move relative to another object 's position", "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "apparent motion of stars is when stars appear to move relative to earth's position", "int2": "the earth rotating on its axis causes apparent motion of stars", "int3": "the earth rotating on its axis causes stars to move relative to the horizon during the night", "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["stars appear to move relative to the horizon during the night"], "step_proof": "sent1 & sent3 & sent5 -> int1: apparent motion of stars is when stars appear to move relative to earth's position; int1 & sent4 -> int2: the earth rotating on its axis causes apparent motion of stars; int2 & sent2 -> hypothesis; ", "lisp_proof": "((((((sent1 sent3 sent5) -> int1) sent4) -> int2) sent2) -> int3)", "polish_proof": "# int3 & # int2 & # int1 & sent1 & sent3 sent5 sent4 sent2", "worldtree_provenance": {"sent1": {"uuid": "dbe8-e776-f804-99a0", "original_text": "a star is a kind of celestial object / celestial body"}, "sent2": {"uuid": "", "original_text": "earth is a kind of celestial object"}, "sent3": {"uuid": "49f5-727d-92b5-03aa", "original_text": "the earth rotating on its axis causes stars / the moon to appear to move across the sky at night"}, "sent4": {"uuid": "1d13-2365-305d-1e1b", "original_text": "apparent motion is when an object appears to move relative to another object 's perspective / another object 's position"}, "sent5": {"uuid": "fc96-f0ff-1c18-337e", "original_text": "stars appear to move relative to the horizon during the night"}, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [{"sid": "sent2", "fact": "earth is a kind of celestial object"}], "delete_list": [{"uuid": "db62-4c2e-6a9d-8b12", "fact": "a constellation contains stars"}, {"uuid": "5304-a10e-5986-7f63", "fact": "if something moves then that something is in a different location"}, {"uuid": "f0ff-da5a-7b9d-614d", "fact": "appearance is a property of objects / materials"}, {"uuid": "d067-f0ea-b5ff-d34e", "fact": "motion is when moves an object / something to a direction"}, {"uuid": "fe39-10c4-9dd9-d745", "fact": "moving changes position"}, {"uuid": "e9d9-325b-c54c-5f88", "fact": "movement is a kind of change"}, {"uuid": "beff-ff71-8de4-ab6c", "fact": "if it is night then the sun has set"}, {"uuid": "2dc2-c468-20d4-4a8d", "fact": "changed is the opposite of unchanged"}, {"uuid": "91b9-6388-d5b8-58b6", "fact": "distance is a property of space and includes ordered values of close / far"}, {"uuid": "c14b-4971-7d32-d1d3", "fact": "the stars in the night sky are very far away from the earth"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "1985-b68a-dd8e-ef6f", "fact": "when an object moves , that object loses its relative fixed position"}, {"uuid": "a659-d135-c6bf-7724", "fact": "night is low in light / in visibility"}]}}
{"id": "MCAS_2008_5_5638", "context": "sent1: diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis sent2: stars appear to move relative to the horizon during the night sent3: the earth rotating on its axis causes stars / the moon to appear to move across the sky at night", "question": "Which of the following statements best explains why stars appear to move across Earth's sky each night?", "answer": "Earth rotates on its axis.", "hypothesis": "the earth rotating on its axis causes stars to appear to move relative to the horizon during the night", "proof": "sent1 & sent2 -> int1: stars apearing to move relative to the horizon during the night is an example of diurnal motion; int1 & sent3 -> hypothesis; ", "full_text_proof": " [BECAUSE] diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis [AND] stars appear to move relative to the horizon during the night [INFER] int1: stars apearing to move relative to the horizon during the night is an example of diurnal motion [BECAUSE] int1 [AND] the earth rotating on its axis causes stars / the moon to appear to move across the sky at night [INFER] int2: the earth rotating on its axis causes stars to appear to move relative to the horizon during the night", "depth_of_proof": 2, "length_of_proof": 2, "meta": {"question_text": "Which of the following statements best explains why stars appear to move across Earth's sky each night?", "answer_text": "Earth rotates on its axis.", "hypothesis_id": "int2", "triples": {"sent1": "diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis", "sent2": "stars appear to move relative to the horizon during the night", "sent3": "the earth rotating on its axis causes stars / the moon to appear to move across the sky at night", "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "stars apearing to move relative to the horizon during the night is an example of diurnal motion", "int2": "the earth rotating on its axis causes stars to appear to move relative to the horizon during the night", "int3": null, "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["the earth rotating on its axis causes stars / the moon to appear to move across the sky at night", "diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis"], "step_proof": "sent1 & sent2 -> int1: stars apearing to move relative to the horizon during the night is an example of diurnal motion; int1 & sent3 -> hypothesis; ", "lisp_proof": "((((sent1 sent2) -> int1) sent3) -> int2)", "polish_proof": "# int2 & # int1 & sent1 sent2 sent3", "worldtree_provenance": {"sent1": {"uuid": "c697-5766-b5be-4c74", "original_text": "diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis"}, "sent2": {"uuid": "49f5-727d-92b5-03aa", "original_text": "the earth rotating on its axis causes stars / the moon to appear to move across the sky at night"}, "sent3": {"uuid": "fc96-f0ff-1c18-337e", "original_text": "stars appear to move relative to the horizon during the night"}, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [], "delete_list": [{"uuid": "825b-a440-75bd-3001", "fact": "if a human is on a rotating planet then other celestial bodies will appear to move from that human 's perspective due to the rotation of that planet"}, {"uuid": "dbe8-e776-f804-99a0", "fact": "a star is a kind of celestial object / celestial body"}, {"uuid": "f603-3c96-a570-1918", "fact": "rotation is a kind of motion"}, {"uuid": "395b-4954-311f-4749", "fact": "the earth rotates on its tilted axis"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "4d60-4beb-9c44-d943", "fact": "rotation is the circular movement of an object around a center / axis"}, {"uuid": "1d13-2365-305d-1e1b", "fact": "apparent motion is when an object appears to move relative to another object 's perspective / another object 's position"}, {"uuid": "38a3-88df-f958-0049", "fact": "earth rotating on its axis occurs once per day"}, {"uuid": "73fa-1e22-26a8-1a7c", "fact": "the earth rotating on its axis causes the sun to appear to move across the sky during the day"}, {"uuid": "b018-4375-d391-cb98", "fact": "the earth revolving around the sun causes stars to appear in different areas in the sky at different times of year"}, {"uuid": "7959-4428-d766-0494", "fact": "a planet rotating causes cycles of day and night on that planet"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "af26-8083-b908-7d3b", "fact": "the sun is a kind of star"}, {"uuid": "d047-b416-20a3-5fca", "fact": "a complete rotation of the earth on earth 's axis / itself takes 1 / one day"}, {"uuid": "beff-ff71-8de4-ab6c", "fact": "if it is night then the sun has set"}, {"uuid": "2436-dd52-0cef-b75f", "fact": "a rotation is a kind of movement"}, {"uuid": "a972-0cbb-3c14-b098", "fact": "cycles of day and night occur once per day"}, {"uuid": "50fe-e0b2-8acf-6f7c", "fact": "a planet is a kind of celestial object / celestial body"}, {"uuid": "0b7b-cf23-e64f-4200", "fact": "the earth being tilted on its rotating axis causes seasons"}]}}
{"id": "AKDE&ED_2008_4_45", "context": "sent1: the sun is the star that is closest to earth sent2: a star produces light sent3: a source of something produces that something sent4: as a source of light becomes closer , the light will appear brighter", "question": "From Earth, the Sun appears brighter than any other star because the Sun is the", "answer": "closest star.", "hypothesis": "the sun will be the star that appears the brightest to the earth", "proof": "sent2 & sent3 -> int1: stars are a source of light; int1 & sent4 -> int2: as the stars become closer, the light of the stars will appear brighter; int2 & sent1 -> hypothesis; ", "full_text_proof": " [BECAUSE] a star produces light [AND] a source of something produces that something [INFER] int1: stars are a source of light [BECAUSE] int1 [AND] as a source of light becomes closer , the light will appear brighter [INFER] int2: as the stars become closer, the light of the stars will appear brighter [BECAUSE] int2 [AND] the sun is the star that is closest to earth [INFER] int3: the sun will be the star that appears the brightest to the earth", "depth_of_proof": 3, "length_of_proof": 3, "meta": {"question_text": "From Earth, the Sun appears brighter than any other star because the Sun is the", "answer_text": "closest star.", "hypothesis_id": "int3", "triples": {"sent1": "the sun is the star that is closest to earth", "sent2": "a star produces light", "sent3": "a source of something produces that something", "sent4": "as a source of light becomes closer , the light will appear brighter", "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "stars are a source of light", "int2": "as the stars become closer, the light of the stars will appear brighter", "int3": "the sun will be the star that appears the brightest to the earth", "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["as a source of light becomes closer , the light will appear brighter"], "step_proof": "sent2 & sent3 -> int1: stars are a source of light; int1 & sent4 -> int2: as the stars become closer, the light of the stars will appear brighter; int2 & sent1 -> hypothesis; ", "lisp_proof": "((((((sent2 sent3) -> int1) sent4) -> int2) sent1) -> int3)", "polish_proof": "# int3 & # int2 & # int1 & sent2 sent3 sent4 sent1", "worldtree_provenance": {"sent1": {"uuid": "12b0-e9bb-c84e-6a42", "original_text": "as a source of light becomes closer , the light will appear brighter"}, "sent2": {"uuid": "", "original_text": "a source of something emits / produces / generates / provides that something"}, "sent3": {"uuid": "8369-8669-0725-2c00", "original_text": "a star produces light and heat"}, "sent4": {"uuid": "4e12-62f2-0830-d602", "original_text": "the sun is the star that is closest to earth"}, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [{"sid": "sent2", "fact": "a source of something produces that something"}], "delete_list": [{"uuid": "64ae-b298-6b34-a19d", "fact": "as the source of light becomes closer , that source of light will appear brighter"}, {"uuid": "72aa-c401-72cf-ded5", "fact": "brighter means higher / greater in brightness"}, {"uuid": "229b-4733-a7ce-239f", "fact": "brightness is a kind of property"}, {"uuid": "2fb5-7bf0-d5d7-3224", "fact": "near / close is the opposite of far / away"}, {"uuid": "769f-6117-1272-9b62", "fact": "far is the opposite of close"}, {"uuid": "247f-1076-f052-4a42", "fact": "as the source of light becomes farther , that source of light will appear dimmer"}, {"uuid": "af26-8083-b908-7d3b", "fact": "the sun is a kind of star"}, {"uuid": "56a9-dbc0-3e13-141a", "fact": "bright means a lot of light"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "2980-ded2-b96d-7722", "fact": "brightness is a property of a light source and includes values of bright / dim"}, {"uuid": "a352-bde5-b854-f460", "fact": "earth is the planet that is third closest to the sun"}, {"uuid": "e78f-4643-92f4-383f", "fact": "as the distance from a source of something increases , that something will decrease"}, {"uuid": "04ee-408f-6c7a-54fc", "fact": "closer means lower / less / a decrease in distance"}, {"uuid": "cf37-a1ef-e60b-f8e7", "fact": "close means low in distance"}, {"uuid": "fe9e-0b3d-813c-75d7", "fact": "earth is a planet that is closer to the sun than jupiter"}, {"uuid": "a538-175f-9223-d117", "fact": "the sun is a source of light / light energy called sunlight"}, {"uuid": "dbe8-e776-f804-99a0", "fact": "a star is a kind of celestial object / celestial body"}, {"uuid": "49dc-4526-46f9-5b32", "fact": "sunlight is a kind of light"}, {"uuid": "a7f2-4b8b-fcff-3811", "fact": "the sun has average brightness compared to other stars"}, {"uuid": "67b1-cfae-5a8e-a28c", "fact": "dimmer is the opposite of brighter"}, {"uuid": "9a65-934e-c26e-f453", "fact": "the sun is a kind of yellow dwarf"}, {"uuid": "2f53-db43-c6e9-95bc", "fact": "greater means higher / more in value"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "b5e2-521d-a85b-cf14", "fact": "bright means bright / light in color"}, {"uuid": "ef6d-b9d2-a18b-5c8b", "fact": "as the size of a light source increases , that light will appear brighter"}]}}
{"id": "AKDE&ED_2012_4_22", "context": "sent1: the sun is the star that is closest to earth sent2: the stars in the night sky are very far away from the earth sent3: as a source of light becomes closer , the light will appear brighter sent4: a star produces light sent5: a source of something produces that something", "question": "Many stars can be seen in the sky at night. Which statement best explains why the Sun appears brighter than the stars seen in the night sky?", "answer": "The Sun is closer to Earth than the stars seen in the night sky.", "hypothesis": "the sun is brighter than other stars because the sun is closer to earth than other stars", "proof": "sent4 & sent5 -> int1: stars are a source of light; int1 & sent3 -> int2: as the stars becomes closer, the light of the stars will appear brighter; sent1 & sent2 -> int3: the sun is closer to earth than other stars to earth; int2 & int3 -> hypothesis; ", "full_text_proof": " [BECAUSE] a star produces light [AND] a source of something produces that something [INFER] int1: stars are a source of light [BECAUSE] int1 [AND] as a source of light becomes closer , the light will appear brighter [INFER] int2: as the stars becomes closer, the light of the stars will appear brighter [BECAUSE] the sun is the star that is closest to earth [AND] the stars in the night sky are very far away from the earth [INFER] int3: the sun is closer to earth than other stars to earth [BECAUSE] int2 [AND] int3 [INFER] int4: the sun is brighter than other stars because the sun is closer to earth than other stars", "depth_of_proof": 3, "length_of_proof": 4, "meta": {"question_text": "Many stars can be seen in the sky at night. Which statement best explains why the Sun appears brighter than the stars seen in the night sky?", "answer_text": "The Sun is closer to Earth than the stars seen in the night sky.", "hypothesis_id": "int4", "triples": {"sent1": "the sun is the star that is closest to earth", "sent2": "the stars in the night sky are very far away from the earth", "sent3": "as a source of light becomes closer , the light will appear brighter", "sent4": "a star produces light", "sent5": "a source of something produces that something", "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "stars are a source of light", "int2": "as the stars becomes closer, the light of the stars will appear brighter", "int3": "the sun is closer to earth than other stars to earth", "int4": "the sun is brighter than other stars because the sun is closer to earth than other stars", "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["as a source of light becomes closer , the light will appear brighter"], "step_proof": "sent4 & sent5 -> int1: stars are a source of light; int1 & sent3 -> int2: as the stars becomes closer, the light of the stars will appear brighter; sent1 & sent2 -> int3: the sun is closer to earth than other stars to earth; int2 & int3 -> hypothesis; ", "lisp_proof": "((((((sent4 sent5) -> int1) sent3) -> int2) ((sent1 sent2) -> int3)) -> int4)", "polish_proof": "# int4 & # int2 & # int1 & sent4 sent5 sent3 # int3 & sent1 sent2", "worldtree_provenance": {"sent1": {"uuid": "12b0-e9bb-c84e-6a42", "original_text": "as a source of light becomes closer , the light will appear brighter"}, "sent2": {"uuid": "c14b-4971-7d32-d1d3", "original_text": "the stars in the night sky are very far away from the earth"}, "sent3": {"uuid": "4e12-62f2-0830-d602", "original_text": "the sun is the star that is closest to earth"}, "sent4": {"uuid": "", "original_text": "a source of something emits / produces / generates / provides that something"}, "sent5": {"uuid": "8369-8669-0725-2c00", "original_text": "a star produces light and heat"}, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [{"sid": "sent4", "fact": "a source of something produces that something"}], "delete_list": [{"uuid": "64ae-b298-6b34-a19d", "fact": "as the source of light becomes closer , that source of light will appear brighter"}, {"uuid": "04ee-408f-6c7a-54fc", "fact": "closer means lower / less / a decrease in distance"}, {"uuid": "cf37-a1ef-e60b-f8e7", "fact": "close means low in distance"}, {"uuid": "2980-ded2-b96d-7722", "fact": "brightness is a property of a light source and includes values of bright / dim"}, {"uuid": "56a9-dbc0-3e13-141a", "fact": "bright means a lot of light"}, {"uuid": "247f-1076-f052-4a42", "fact": "as the source of light becomes farther , that source of light will appear dimmer"}, {"uuid": "2fb5-7bf0-d5d7-3224", "fact": "near / close is the opposite of far / away"}, {"uuid": "769f-6117-1272-9b62", "fact": "far is the opposite of close"}, {"uuid": "72aa-c401-72cf-ded5", "fact": "brighter means higher / greater in brightness"}, {"uuid": "94b7-fbe6-74cf-eba2", "fact": "far means great in distance"}, {"uuid": "af26-8083-b908-7d3b", "fact": "the sun is a kind of star"}, {"uuid": "a352-bde5-b854-f460", "fact": "earth is the planet that is third closest to the sun"}, {"uuid": "3d48-21e9-c4e5-6491", "fact": "furthest / farthest means greatest / most / highest in distance"}, {"uuid": "91b9-6388-d5b8-58b6", "fact": "distance is a property of space and includes ordered values of close / far"}, {"uuid": "e78f-4643-92f4-383f", "fact": "as the distance from a source of something increases , that something will decrease"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "a538-175f-9223-d117", "fact": "the sun is a source of light / light energy called sunlight"}, {"uuid": "dbe8-e776-f804-99a0", "fact": "a star is a kind of celestial object / celestial body"}, {"uuid": "a0f5-8469-7346-63fc", "fact": "the sun is not a star in the night sky"}, {"uuid": "b5e2-521d-a85b-cf14", "fact": "bright means bright / light in color"}, {"uuid": "842e-1407-d27c-3e94", "fact": "greatest means largest / highest / most amount of something"}, {"uuid": "435c-2049-11ca-61c5", "fact": "toward is the opposite of away"}, {"uuid": "994f-4898-9a1a-659b", "fact": "as distance to an object increases , that object will appear smaller"}, {"uuid": "bfdf-b468-ee22-1b60", "fact": "an increase is the opposite of a decrease"}, {"uuid": "2f53-db43-c6e9-95bc", "fact": "greater means higher / more in value"}, {"uuid": "ef6d-b9d2-a18b-5c8b", "fact": "as the size of a light source increases , that light will appear brighter"}]}}
{"id": "Mercury_7186778", "context": "sent1: more light gets reflected on highly reflective things sent2: venus is covered in highly reflective clouds sent3: as the light reflected off of an object increases , the object will appear to be brighter", "question": "Kevin is observing the sky on a clear night. With the unaided eye he is able to see Venus, Mars, Jupiter, and Saturn. Why would Venus appear to be brighter than the other planets?", "answer": "It reflects the most sunlight toward Earth.", "hypothesis": "venus reflecting more sunlight than other planets make it brighter than other planets", "proof": "sent1 & sent2 -> int1: venus reflects more sunlight toward earth than other planets; int1 & sent3 -> hypothesis; ", "full_text_proof": " [BECAUSE] more light gets reflected on highly reflective things [AND] venus is covered in highly reflective clouds [INFER] int1: venus reflects more sunlight toward earth than other planets [BECAUSE] int1 [AND] as the light reflected off of an object increases , the object will appear to be brighter [INFER] int2: venus reflecting more sunlight than other planets make it brighter than other planets", "depth_of_proof": 2, "length_of_proof": 2, "meta": {"question_text": "Kevin is observing the sky on a clear night. With the unaided eye he is able to see Venus, Mars, Jupiter, and Saturn. Why would Venus appear to be brighter than the other planets?", "answer_text": "It reflects the most sunlight toward Earth.", "hypothesis_id": "int2", "triples": {"sent1": "more light gets reflected on highly reflective things", "sent2": "venus is covered in highly reflective clouds", "sent3": "as the light reflected off of an object increases , the object will appear to be brighter", "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "venus reflects more sunlight toward earth than other planets", "int2": "venus reflecting more sunlight than other planets make it brighter than other planets", "int3": null, "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["as the light reflected off of an object increases , the object will appear to be brighter"], "step_proof": "sent1 & sent2 -> int1: venus reflects more sunlight toward earth than other planets; int1 & sent3 -> hypothesis; ", "lisp_proof": "((((sent1 sent2) -> int1) sent3) -> int2)", "polish_proof": "# int2 & # int1 & sent1 sent2 sent3", "worldtree_provenance": {"sent1": {"uuid": "", "original_text": "more light get reflected on highly reflective things"}, "sent2": {"uuid": "", "original_text": "venus is covered in highly reflective clouds"}, "sent3": {"uuid": "3a8d-e5f2-c79e-fcef", "original_text": "as the light reflected off of an object increases , the object will appear to be brighter"}, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [{"sid": "sent1", "fact": "more light gets reflected on highly reflective things"}, {"sid": "sent2", "fact": "venus is covered in highly reflective clouds"}], "delete_list": [{"uuid": "12b0-e9bb-c84e-6a42", "fact": "as a source of light becomes closer , the light will appear brighter"}, {"uuid": "e5f7-f7b8-e54c-8df9", "fact": "planets reflect the light of the sun"}, {"uuid": "64ae-b298-6b34-a19d", "fact": "as the source of light becomes closer , that source of light will appear brighter"}, {"uuid": "a538-175f-9223-d117", "fact": "the sun is a source of light / light energy called sunlight"}, {"uuid": "b772-8846-82c7-f2d8", "fact": "jupiter is a kind of planet"}, {"uuid": "73aa-f84a-b42e-53b3", "fact": "venus is a kind of planet"}, {"uuid": "1fb6-af63-74de-86fd", "fact": "mars is a kind of planet"}, {"uuid": "65b3-1a89-cdd6-22b0", "fact": "saturn is a kind of planet"}, {"uuid": "72aa-c401-72cf-ded5", "fact": "brighter means higher / greater in brightness"}, {"uuid": "56a9-dbc0-3e13-141a", "fact": "bright means a lot of light"}, {"uuid": "49dc-4526-46f9-5b32", "fact": "sunlight is a kind of light"}, {"uuid": "4b45-65e4-b5c2-85c9", "fact": "mars is the planet that is fourth closest to the sun"}, {"uuid": "e302-985d-b7ef-ad07", "fact": "venus is the planet that is closer to the sun than the earth to the sun"}, {"uuid": "859f-86f6-8ed6-3885", "fact": "venus is the planet that is second closest to the sun"}, {"uuid": "ffc8-4214-81e1-3903", "fact": "saturn is the planet that is sixth closest to the sun"}, {"uuid": "435c-2049-11ca-61c5", "fact": "toward is the opposite of away"}, {"uuid": "fe9e-0b3d-813c-75d7", "fact": "earth is a planet that is closer to the sun than jupiter"}, {"uuid": "a352-bde5-b854-f460", "fact": "earth is the planet that is third closest to the sun"}, {"uuid": "393c-5d80-c259-3ee9", "fact": "jupiter is the planet that is fifth closest to the sun"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "842e-1407-d27c-3e94", "fact": "greatest means largest / highest / most amount of something"}, {"uuid": "ae74-32dc-4291-fb82", "fact": "if an object reflects light toward the eye then that object can be seen"}, {"uuid": "b5e2-521d-a85b-cf14", "fact": "bright means bright / light in color"}, {"uuid": "04b4-5695-5804-0ccb", "fact": "the asteroid belt is located between mars and jupiter"}]}}
{"id": "NYSEDREGENTS_2004_4_1", "context": "sent1: the amount of daylight is greatest in the summer sent2: united states is located in the northern hemisphere sent3: new york / new york state is a state located in the united states of america sent4: june is during the summer in the northern hemisphere", "question": "In New York State, the longest period of daylight occurs during which month?", "answer": "June", "hypothesis": "new york state has the greatest sunlight during june", "proof": "sent2 & sent3 -> int1: new york state is located in the northern hemisphere; int1 & sent4 -> int2: june is during the summer for new york state; int2 & sent1 -> hypothesis; ", "full_text_proof": " [BECAUSE] united states is located in the northern hemisphere [AND] new york / new york state is a state located in the united states of america [INFER] int1: new york state is located in the northern hemisphere [BECAUSE] int1 [AND] june is during the summer in the northern hemisphere [INFER] int2: june is during the summer for new york state [BECAUSE] int2 [AND] the amount of daylight is greatest in the summer [INFER] int3: new york state has the greatest sunlight during june", "depth_of_proof": 3, "length_of_proof": 3, "meta": {"question_text": "In New York State, the longest period of daylight occurs during which month?", "answer_text": "June", "hypothesis_id": "int3", "triples": {"sent1": "the amount of daylight is greatest in the summer", "sent2": "united states is located in the northern hemisphere", "sent3": "new york / new york state is a state located in the united states of america", "sent4": "june is during the summer in the northern hemisphere", "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "new york state is located in the northern hemisphere", "int2": "june is during the summer for new york state", "int3": "new york state has the greatest sunlight during june", "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["the amount of daylight is greatest in the summer"], "step_proof": "sent2 & sent3 -> int1: new york state is located in the northern hemisphere; int1 & sent4 -> int2: june is during the summer for new york state; int2 & sent1 -> hypothesis; ", "lisp_proof": "((((((sent2 sent3) -> int1) sent4) -> int2) sent1) -> int3)", "polish_proof": "# int3 & # int2 & # int1 & sent2 sent3 sent4 sent1", "worldtree_provenance": {"sent1": {"uuid": "b789-c5df-3b5c-272b", "original_text": "june is during the summer in the northern hemisphere"}, "sent2": {"uuid": "3d48-ef4c-bf06-a0c5", "original_text": "the amount of daylight is greatest in the summer"}, "sent3": {"uuid": "90a3-648e-1622-edc2", "original_text": "new york / new york state is a state located in the united states of america"}, "sent4": {"uuid": "cfd8-43a2-1452-0ffb", "original_text": "united states is located in the northern hemisphere"}, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [], "delete_list": [{"uuid": "b2ac-b8b2-5d1c-40b8", "fact": "the summer solstice is on june 21st in the northern hemisphere"}, {"uuid": "551a-ecdb-38e6-4b09", "fact": "the amount of daylight is greatest on the summer solstice"}, {"uuid": "a3c6-f26b-2009-9503", "fact": "months are a kind of unit for measuring time"}, {"uuid": "2bf5-fc3f-1f49-84f1", "fact": "month is a kind of period of time"}, {"uuid": "53f9-1eba-2408-8f4f", "fact": "june is a kind of month"}, {"uuid": "ac73-12b7-56aa-d852", "fact": "daylight is when the sun shines on a location"}, {"uuid": "5fa3-ff9a-dc19-47a0", "fact": "months m are a metric unit used for measuring time generally used for values between 1 and 24"}, {"uuid": "c354-58fd-8d25-d949", "fact": "daylight occurs during the day"}, {"uuid": "842e-1407-d27c-3e94", "fact": "greatest means largest / highest / most amount of something"}, {"uuid": "ec1d-0017-1acc-ea59", "fact": "shortest means the least amount of time"}, {"uuid": "4c40-fb3b-92a4-0c8d", "fact": "longest means greatest in length"}, {"uuid": "b416-cff8-0999-48a9", "fact": "long means great in length"}, {"uuid": "8a35-c04c-91c8-dfde", "fact": "when the season changes , the amount of daylight will change"}, {"uuid": "b695-f668-1dec-659c", "fact": "the amount of daylight is least in the winter"}, {"uuid": "fc7f-85ca-56d1-d7d5", "fact": "june is during the winter in the southern hemisphere"}, {"uuid": "5307-2d90-79a8-14af", "fact": "the amount of daylight is least on the winter solstice"}, {"uuid": "e288-5cf7-f60d-4e8d", "fact": "shortest means least / smallest in length"}, {"uuid": "ecff-60c1-7d9d-d0b8", "fact": "the winter solstice is on june 21st in the southern hemisphere"}]}}
{"id": "AKDE&ED_2008_4_14", "context": "sent1: earth 's tilt on its rotating axis causes seasons to change / to occur sent2: when the season changes , the amount of daylight will change", "question": "The length of daylight changes as the seasons change during the year. What causes these changes in daylight?", "answer": "Earth's tilt on its axis", "hypothesis": "earth's tilt on its rotating axis causes the amout of daylight to change", "proof": "sent1 & sent2 -> hypothesis; ", "full_text_proof": " [BECAUSE] earth 's tilt on its rotating axis causes seasons to change / to occur [AND] when the season changes , the amount of daylight will change [INFER] int1: earth's tilt on its rotating axis causes the amout of daylight to change", "depth_of_proof": 1, "length_of_proof": 1, "meta": {"question_text": "The length of daylight changes as the seasons change during the year. What causes these changes in daylight?", "answer_text": "Earth's tilt on its axis", "hypothesis_id": "int1", "triples": {"sent1": "earth 's tilt on its rotating axis causes seasons to change / to occur", "sent2": "when the season changes , the amount of daylight will change", "sent3": null, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "earth's tilt on its rotating axis causes the amout of daylight to change", "int2": null, "int3": null, "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["earth 's tilt on its rotating axis causes seasons to change / to occur", "when the season changes , the amount of daylight will change"], "step_proof": "sent1 & sent2 -> hypothesis; ", "lisp_proof": "((sent1 sent2) -> int1)", "polish_proof": "# int1 & sent1 sent2", "worldtree_provenance": {"sent1": {"uuid": "8a35-c04c-91c8-dfde", "original_text": "when the season changes , the amount of daylight will change"}, "sent2": {"uuid": "66df-2200-f730-17c3", "original_text": "earth 's tilt on its rotating axis causes seasons to change / to occur"}, "sent3": null, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [], "delete_list": [{"uuid": "27ac-0696-3449-6bd2", "fact": "when the seasons change from summer to fall / from summer to winter , the amount of daylight will decrease"}, {"uuid": "0b7b-cf23-e64f-4200", "fact": "the earth being tilted on its rotating axis causes seasons"}, {"uuid": "c354-58fd-8d25-d949", "fact": "daylight occurs during the day"}, {"uuid": "54cf-cc71-b887-3b08", "fact": "different seasons occur during different times of the year"}, {"uuid": "d1e5-99a8-b08b-6e3d", "fact": "earth 's angle of tilt causes the length of day and night to vary"}, {"uuid": "ac73-12b7-56aa-d852", "fact": "daylight is when the sun shines on a location"}, {"uuid": "395b-4954-311f-4749", "fact": "the earth rotates on its tilted axis"}, {"uuid": "e473-7297-61c1-56fa", "fact": "earth is a kind of planet"}, {"uuid": "f59f-261f-52a9-1771", "fact": "earth orbiting the sun causes seasons to change"}, {"uuid": "1cca-1ac1-5bea-5cf6", "fact": "the earth revolving around the sun causes the seasons to change / to occur on its axis"}, {"uuid": "e172-fe13-821d-196c", "fact": "each season occurs once per year"}, {"uuid": "3d48-ef4c-bf06-a0c5", "fact": "the amount of daylight is greatest in the summer"}, {"uuid": "c6f7-70cd-eaa9-4e84", "fact": "the tilt of earth 's axis causes certain latitudes of earth to be heated at a greater rate"}, {"uuid": "a81f-882c-3627-408d", "fact": "a decrease is a kind of change"}, {"uuid": "31d9-98d7-6a10-9053", "fact": "the earth being tilted on its axis causes one side of the earth / one hemisphere to receive less energy from the sun than the other side"}, {"uuid": "633c-3fd4-7320-00cf", "fact": "winter is a kind of season"}, {"uuid": "b695-f668-1dec-659c", "fact": "the amount of daylight is least in the winter"}, {"uuid": "3f3f-f2cb-ae3d-f238", "fact": "summer is a kind of season"}, {"uuid": "3085-e55b-e7a8-fd70", "fact": "a new season occurs four times per year"}, {"uuid": "b376-a3d3-5d2e-8fd9", "fact": "a new season occurs once per 3 months"}, {"uuid": "1868-6ec4-8e36-8c79", "fact": "winter is a part of the year"}, {"uuid": "782a-53e7-c1c7-aae0", "fact": "an increase is a kind of change"}, {"uuid": "5949-8ca0-0ddf-811b", "fact": "summer is when a hemisphere is tilted towards the sun"}, {"uuid": "551a-ecdb-38e6-4b09", "fact": "the amount of daylight is greatest on the summer solstice"}]}}
{"id": "AKDE&ED_2008_4_27", "context": "sent1: alaska is in winter season sent2: alaska is a state located in the united states of america sent3: united states is located in the northern hemisphere sent4: when a hemisphere is tilted away from the sun , that hemisphere receives less direct sunlight sent5: winter is when a hemisphere is tilted away from the sun", "question": "In Alaska, there are fewer hours of daylight in the winter than in the summer. Which statement best explains why this difference occurs?", "answer": "The Northern Hemisphere is tilted away from the Sun in the winter.", "hypothesis": "the northern hemisphere being tilted away from the sun causes alaska to receive less direct sunlight", "proof": "sent2 & sent3 -> int1: alaska is located in the northern hemisphere; int1 & sent1 & sent5 -> int2: the northern hemisphere is tilted away from the sun when alaska is in winter; sent4 & sent5 -> int3: a hemisphere tilting away from the sun causes the hemisphere to receive less direct sunlight; int2 & int3 -> hypothesis; ", "full_text_proof": " [BECAUSE] alaska is a state located in the united states of america [AND] united states is located in the northern hemisphere [INFER] int1: alaska is located in the northern hemisphere [BECAUSE] int1 [AND] alaska is in winter season [AND] winter is when a hemisphere is tilted away from the sun [INFER] int2: the northern hemisphere is tilted away from the sun when alaska is in winter [BECAUSE] when a hemisphere is tilted away from the sun , that hemisphere receives less direct sunlight [AND] winter is when a hemisphere is tilted away from the sun [INFER] int3: a hemisphere tilting away from the sun causes the hemisphere to receive less direct sunlight [BECAUSE] int2 [AND] int3 [INFER] int4: the northern hemisphere being tilted away from the sun causes alaska to receive less direct sunlight", "depth_of_proof": 3, "length_of_proof": 4, "meta": {"question_text": "In Alaska, there are fewer hours of daylight in the winter than in the summer. Which statement best explains why this difference occurs?", "answer_text": "The Northern Hemisphere is tilted away from the Sun in the winter.", "hypothesis_id": "int4", "triples": {"sent1": "alaska is in winter season", "sent2": "alaska is a state located in the united states of america", "sent3": "united states is located in the northern hemisphere", "sent4": "when a hemisphere is tilted away from the sun , that hemisphere receives less direct sunlight", "sent5": "winter is when a hemisphere is tilted away from the sun", "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "alaska is located in the northern hemisphere", "int2": "the northern hemisphere is tilted away from the sun when alaska is in winter", "int3": "a hemisphere tilting away from the sun causes the hemisphere to receive less direct sunlight", "int4": "the northern hemisphere being tilted away from the sun causes alaska to receive less direct sunlight", "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["winter is when a hemisphere is tilted away from the sun", "when a hemisphere is tilted away from the sun , that hemisphere receives less direct sunlight"], "step_proof": "sent2 & sent3 -> int1: alaska is located in the northern hemisphere; int1 & sent1 & sent5 -> int2: the northern hemisphere is tilted away from the sun when alaska is in winter; sent4 & sent5 -> int3: a hemisphere tilting away from the sun causes the hemisphere to receive less direct sunlight; int2 & int3 -> hypothesis; ", "lisp_proof": "((((((sent2 sent3) -> int1) sent1 sent5) -> int2) ((sent4 sent5) -> int3)) -> int4)", "polish_proof": "# int4 & # int2 & # int1 & sent2 sent3 & sent1 sent5 # int3 & sent4 sent5", "worldtree_provenance": {"sent1": {"uuid": "cfd8-43a2-1452-0ffb", "original_text": "united states is located in the northern hemisphere"}, "sent2": {"uuid": "be77-688f-2811-7d8f", "original_text": "alaska is a state located in the united states of america"}, "sent3": {"uuid": "b356-ece6-5dc7-8973", "original_text": "when a hemisphere is tilted away from the sun , that hemisphere receives less direct sunlight"}, "sent4": {"uuid": "", "original_text": "winter is when a hemisphere is tilted away from the sun"}, "sent5": {"uuid": "", "original_text": "alaska is in winter season"}, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [{"sid": "sent4", "fact": "winter is when a hemisphere is tilted away from the sun"}, {"sid": "sent5", "fact": "alaska is in winter season"}], "delete_list": [{"uuid": "32c6-adaa-af1c-f49f", "fact": "winter in a hemisphere occurs when the pole located in that hemisphere is tilted away from the sun"}, {"uuid": "b695-f668-1dec-659c", "fact": "the amount of daylight is least in the winter"}, {"uuid": "0be4-4606-4a12-f564", "fact": "winter has the least sunlight"}, {"uuid": "1181-3098-4bab-9d92", "fact": "when a hemisphere is tilted towards the sun , that hemisphere receives more direct sunlight"}, {"uuid": "5949-8ca0-0ddf-811b", "fact": "summer is when a hemisphere is tilted towards the sun"}, {"uuid": "27ac-0696-3449-6bd2", "fact": "when the seasons change from summer to fall / from summer to winter , the amount of daylight will decrease"}, {"uuid": "31d9-98d7-6a10-9053", "fact": "the earth being tilted on its axis causes one side of the earth / one hemisphere to receive less energy from the sun than the other side"}, {"uuid": "8a35-c04c-91c8-dfde", "fact": "when the season changes , the amount of daylight will change"}, {"uuid": "0b7b-cf23-e64f-4200", "fact": "the earth being tilted on its rotating axis causes seasons"}, {"uuid": "17e7-deeb-44f0-1758", "fact": "fewer means lower / less in number"}, {"uuid": "8745-b081-65b5-bc99", "fact": "the northern hemisphere is a kind of hemisphere of earth"}, {"uuid": "3d48-ef4c-bf06-a0c5", "fact": "the amount of daylight is greatest in the summer"}, {"uuid": "564e-eb72-a12b-dbaa", "fact": "summer has the most sunlight"}, {"uuid": "624a-c1ec-8c85-45ce", "fact": "amount is a property of something and includes ordered values of none / least / little / some / half / much / many / most / all"}, {"uuid": "633c-3fd4-7320-00cf", "fact": "winter is a kind of season"}, {"uuid": "842e-1407-d27c-3e94", "fact": "greatest means largest / highest / most amount of something"}, {"uuid": "435c-2049-11ca-61c5", "fact": "toward is the opposite of away"}, {"uuid": "8f5c-447f-8432-6617", "fact": "a change is a kind of difference"}, {"uuid": "b8e2-d9bd-975c-3e04", "fact": "if an amount of objects decreases then those objects are fewer in number"}, {"uuid": "3f3f-f2cb-ae3d-f238", "fact": "summer is a kind of season"}, {"uuid": "5307-2d90-79a8-14af", "fact": "the amount of daylight is least on the winter solstice"}, {"uuid": "9fc2-699f-7287-fc0d", "fact": "winter is the opposite of summer"}, {"uuid": "7b97-d2e2-7317-c84c", "fact": "the winter in the southern hemisphere is during the summer in the northern hemisphere"}, {"uuid": "5510-64d4-c9fc-9719", "fact": "the winter in the northern hemisphere is during the summer in the southern hemisphere"}, {"uuid": "2a28-d99e-eaf7-0868", "fact": "many means high in number"}, {"uuid": "3d48-21e9-c4e5-6491", "fact": "furthest / farthest means greatest / most / highest in distance"}, {"uuid": "b789-c5df-3b5c-272b", "fact": "june is during the summer in the northern hemisphere"}]}}
{"id": "MCAS_2000_4_14", "context": "sent1: the earth rotates on its tilted axis sent2: a planet rotating causes cycles of day and night on that planet sent3: earth is a kind of planet", "question": "Earth's rotation (turning on its axis) causes", "answer": "day and night.", "hypothesis": "earth rotating on its axis causes cycles of day and night on earth", "proof": "sent1 & sent3 -> int1: earth is a planet that rotates on its tilted axis; int1 & sent2 -> hypothesis; ", "full_text_proof": " [BECAUSE] the earth rotates on its tilted axis [AND] earth is a kind of planet [INFER] int1: earth is a planet that rotates on its tilted axis [BECAUSE] int1 [AND] a planet rotating causes cycles of day and night on that planet [INFER] int2: earth rotating on its axis causes cycles of day and night on earth", "depth_of_proof": 2, "length_of_proof": 2, "meta": {"question_text": "Earth's rotation (turning on its axis) causes", "answer_text": "day and night.", "hypothesis_id": "int2", "triples": {"sent1": "the earth rotates on its tilted axis", "sent2": "a planet rotating causes cycles of day and night on that planet", "sent3": "earth is a kind of planet", "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "distractors": [], "distractors_relevance": [], "intermediate_conclusions": {"int1": "earth is a planet that rotates on its tilted axis", "int2": "earth rotating on its axis causes cycles of day and night on earth", "int3": null, "int4": null, "int5": null, "int6": null, "int7": null, "int8": null, "int9": null, "int10": null, "int11": null, "int12": null, "int13": null, "int14": null, "int15": null, "int16": null, "int17": null}, "core_concepts": ["a planet rotating causes cycles of day and night on that planet"], "step_proof": "sent1 & sent3 -> int1: earth is a planet that rotates on its tilted axis; int1 & sent2 -> hypothesis; ", "lisp_proof": "((((sent1 sent3) -> int1) sent2) -> int2)", "polish_proof": "# int2 & # int1 & sent1 sent3 sent2", "worldtree_provenance": {"sent1": {"uuid": "e473-7297-61c1-56fa", "original_text": "earth is a kind of planet"}, "sent2": {"uuid": "7959-4428-d766-0494", "original_text": "a planet rotating causes cycles of day and night on that planet"}, "sent3": {"uuid": "395b-4954-311f-4749", "original_text": "the earth rotates on its tilted axis"}, "sent4": null, "sent5": null, "sent6": null, "sent7": null, "sent8": null, "sent9": null, "sent10": null, "sent11": null, "sent12": null, "sent13": null, "sent14": null, "sent15": null, "sent16": null, "sent17": null}, "add_list": [], "delete_list": [{"uuid": "d047-b416-20a3-5fca", "fact": "a complete rotation of the earth on earth 's axis / itself takes 1 / one day"}, {"uuid": "a972-0cbb-3c14-b098", "fact": "cycles of day and night occur once per day"}, {"uuid": "38a3-88df-f958-0049", "fact": "earth rotating on its axis occurs once per day"}, {"uuid": "73fa-1e22-26a8-1a7c", "fact": "the earth rotating on its axis causes the sun to appear to move across the sky during the day"}, {"uuid": "3e94-319d-1ebd-7f62", "fact": "the night time is part of one day"}, {"uuid": "4d60-4beb-9c44-d943", "fact": "rotation is the circular movement of an object around a center / axis"}, {"uuid": "4a85-2fef-539d-2162", "fact": "the day time is part of one day"}, {"uuid": "ec3f-17e4-7f87-3757", "fact": "days are a kind of unit for measuring time"}, {"uuid": "beff-ff71-8de4-ab6c", "fact": "if it is night then the sun has set"}, {"uuid": "f603-3c96-a570-1918", "fact": "rotation is a kind of motion"}, {"uuid": "c2b7-61fb-a8c4-725c", "fact": "turning is a kind of motion"}, {"uuid": "2436-dd52-0cef-b75f", "fact": "a rotation is a kind of movement"}, {"uuid": "aacf-3442-3b46-b964", "fact": "the sun rising and setting causes cycles of day and night"}, {"uuid": "49f5-727d-92b5-03aa", "fact": "the earth rotating on its axis causes stars / the moon to appear to move across the sky at night"}, {"uuid": "0da9-2984-f126-bcad", "fact": "setting is a kind of motion"}, {"uuid": "c697-5766-b5be-4c74", "fact": "diurnal motion is when objects in the sky appear to move due to earth 's rotation on its axis"}, {"uuid": "22a2-1029-702e-a29a", "fact": "a planet is a kind of celestial object / body"}, {"uuid": "d1e5-99a8-b08b-6e3d", "fact": "earth 's angle of tilt causes the length of day and night to vary"}]}}
{"text": "A Porthcawl RNLI crew with a medic and the coastguard search and rescue helicopter were sent to Sker Beach, near Kenfig Nature Reserve, at 12:50 GMT on Sunday.\nCrewman Chris Page said the rider had head injuries and was very cold from lying unconscious on wet sand.\nShe was treated before being flown to Cardiff's University Hospital of Wales.", "target": "A woman has been airlifted to hospital after falling from a horse on a Bridgend county beach.", "feat_id": "38630833", "evaluation_predictions": [2, 0, 39151, 27049, 3419, 19, 10, 26467, 8, 5, 3673, 12984, 1707, 8, 3906, 7324, 58, 1051, 7, 4058, 254, 2467, 6, 583, 3410, 22699, 10053, 3965, 6, 15, 395, 4, 20, 11578, 56, 471, 1746, 8, 21, 182, 2569, 31, 6480, 15003, 15, 7727, 6255, 4, 264, 21, 3032, 137, 145, 13054, 7, 12426, 18, 589, 2392, 9, 5295, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "Verheydt, who had been with Maastricht since 2015, has signed a three-year contract with Harry Kewell's side.\nThe 25-year-old scored 13 goals in 43 appearances in all competitions last season.\nMeanwhile, Watford winger Dennon Lewis, 20, has joined the Reds on a loan deal until 31 December.\nLewis, who made 29 National League appearances on loan at Woking last season, played under Kewell when the Australian was coach of Watford's under-23 team.\nFind all the latest football transfers on our dedicated page.", "target": "League Two side Crawley Town have signed striker Thomas Verheydt from Dutch second-tier side MVV Maastricht for an undisclosed fee.", "feat_id": "40523815", "evaluation_predictions": [2, 0, 21119, 700, 9611, 90, 34, 1419, 10, 130, 12, 180, 1355, 19, 3268, 229, 2753, 1641, 18, 526, 4, 20, 564, 12, 180, 12, 279, 1008, 508, 1175, 11, 3557, 4961, 11, 70, 9150, 94, 191, 4, 8626, 1891, 10331, 211, 4734, 261, 3577, 6, 291, 6, 34, 1770, 5, 9269, 15, 10, 2541, 432, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "The 32-year-old had been playing in the Isthmian Premier Division with Leatherhead following his release by Newport at the end of last season.\nPidgeley has made 260 appearances in spells with nine clubs, including Chelsea, Watford and Millwall.\nForest Green are currently second in the National League table, one point behind leaders Cheltenham Town.\nPidgeley could make his Rovers debut when they host Aldershot on Friday.", "target": "National League side Forest Green Rovers have signed goalkeeper Lenny Pidgeley until the end of the season.", "feat_id": "35893195", "evaluation_predictions": [2, 0, 510, 15379, 607, 34, 156, 19809, 4961, 11, 20154, 19, 1117, 4207, 6, 217, 3098, 6, 8626, 1891, 8, 5388, 12764, 4, 5761, 1628, 32, 855, 200, 11, 5, 496, 815, 2103, 6, 65, 477, 639, 917, 21626, 3869, 1908, 3171, 4, 221, 15379, 607, 115, 146, 39, 3830, 3697, 2453, 77, 51, 1482, 8019, 268, 10120, 15, 273, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "The suspected green mamba was found on a ship that had docked in Aberdeen from west Africa last month.\nThe snake died after it was placed in a freezer by the animal charity after attempts to rehome it with specialist reptile keepers failed.\nThe snake was later identified as a harmless green tree snake.\nPolice Scotland said a complaint was under consideration.\nScottish SPCA Ch Supt Mike Flynn said: \"We were called out after a green snake arrived in Aberdeen on a boat from Africa.\n\"The snake was thought to be a green mamba, one of the deadliest snakes in the world. The snake was taken by police escort to our Aberdeenshire animal rescue and rehoming centre.\n\"Sadly the snake, which staff genuinely believed to be a green mamba, had to be put to sleep after our attempts to rehome it to specialist reptile keepers were unsuccessful.\"\nHe added: \"We could not keep the snake in our centre due to severe health and safety concerns, as the closest anti-venom is held in Bedford. Green mambas also require a Dangerous Wild Animal Licence which the society does not have.\n\"The safety of our staff and the public is paramount and as such the snake was placed in a freezer where it passed away.\n\"The Scottish SPCA is proud of its policy not put healthy animals to sleep. Animals are only put to sleep on veterinary advice if they are too ill or too aggressive to be rehomed, or where we are legally required to do so.\n\"The decision to euthanise the snake was not taken lightly. Unfortunately, the snake has since been identified as a harmless green tree snake. This has been an honest mistake on the society's part as we genuinely believed this was an extremely deadly snake.\"\nThe western green mamba feeds on small animals and rodents and is mainly found in the coastal tropical rainforests of western Africa.\nExperts say its bite can be fatal in as little as 30 minutes.", "target": "A complaint about the Scottish SPCA putting what was thought to be one of the world's most deadly snakes to sleep is being investigated by police.", "feat_id": "38249621", "evaluation_predictions": [2, 0, 133, 3986, 2272, 475, 14996, 21, 303, 15, 10, 3627, 14, 56, 385, 9596, 11, 15254, 31, 3072, 1327, 94, 353, 4, 20, 16173, 962, 71, 24, 21, 2325, 11, 10, 26430, 30, 5, 3477, 4440, 71, 3881, 7, 769, 8361, 24, 19, 6857, 38950, 1848, 489, 268, 1447, 4, 522, 3430, 26, 10, 3674, 21, 223, 6077, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "The all-rounder has been included in the T20 squad to face Sri Lanka on 5 July at the Ageas Bowl, having been part of the World T20 squad in March.\n\"It's nice to be involved again,\" the 26-year-old slow left-armer and right-handed batsman told BBC Radio Solent.\n\"I wasn't expecting to be as I thought Moeen Ali would, but him being rested hands me another opportunity.\"\nDawson failed to make an appearance during England's run to the World T20 final in India this year, but his limited-overs performances for Hampshire this season have kept him in contention.\n\"I'm not sure what team they'll go with,\" he said.\n\"I've had some good performances for Hampshire in one-day and T20 cricket and if I keep going with that, hopefully I might get a chance.\"", "target": "Hampshire's Liam Dawson says it would be \"amazing\" to make his England Twenty20 debut on his home ground.", "feat_id": "36547398", "evaluation_predictions": [2, 0, 133, 973, 12, 180, 12, 279, 21, 233, 9, 1156, 18, 623, 255, 844, 2837, 11, 494, 4, 91, 34, 57, 11, 3444, 1026, 13, 10372, 42, 191, 4, 1156, 652, 6604, 8500, 11, 10, 255, 844, 23, 5, 8927, 281, 2616, 15, 195, 550, 4, 2578, 259, 13, 70, 5, 665, 1156, 340, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "The Egypt-backed plan had envisaged a regional forum which analysts say might have forced Israel to reveal whether or not it has nuclear weapons.\nThe proposal was blocked by the US, the UK and Canada. The next review is set for 2020.\nIsrael neither confirms nor denies it has a stockpile of nuclear weapons.\nSpeaking after four weeks of negotiations, US Under-Secretary of State Rose Gottemoeller accused Egypt and other Arab countries of \"not willing to let go of these unrealistic and unworkable conditions\" for future talks.\nShe also said some participants tried to \"cynically manipulate\" the whole process.\nBut Egypt warned that the failure to reach a deal \"will have consequences in front of the Arab world and public opinion\", the Associated Press news agency reports.\nLast month, Egypt had proposed to stage a regional conference - with or without Israel's participation and without an agreed agenda.\nSome analysts suggested that this move might have forced Israel - which is not a party to the Treaty on the Non-Proliferation of Nuclear Weapons (NPT) - to publicly clarify its position on nuclear weapons.\nDecisions at NPT review conferences - held every five years - are made by consensus.\nThe failure of the current talks means the next gathering could only be held in 2020 at the earliest.", "target": "A UN conference aimed at preventing the proliferation of nuclear weapons has ended in failure after a row over a nuclear-free Middle East proposal.", "feat_id": "32856926", "evaluation_predictions": [2, 0, 37552, 56, 1850, 10, 2174, 7900, 61, 429, 33, 1654, 1870, 7, 4991, 549, 50, 45, 24, 34, 1748, 2398, 4, 20, 2570, 21, 4953, 30, 5, 382, 6, 5, 987, 8, 896, 4, 382, 2096, 12, 36035, 9, 331, 3199, 24574, 29587, 15098, 1238, 5028, 8, 97, 4681, 749, 9, 22, 3654, 2882, 7, 905, 213, 9, 209, 25477, 8, 542, 6014, 868, 1274, 113, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "Mothers-to-be are more likely to get malaria as their immunity is lowered, says the Royal College of Obstetricians and Gynaecologists (RCOG).\nMalaria carries serious risks for mother and baby including miscarriage, stillbirth and premature labour.\nThe tropical disease is transmitted by mosquitoes and causes a fever, flu-like symptoms, vomiting and diarrhoea.\nThere have been no malaria-related deaths in pregnant or recently pregnant women in the UK in the past decade but the RCOG says it has been receiving inquires from worried women.\nIn the UK, about 1,500 cases of malaria are reported each year and about 10 people will die, said the RCOG.\nIt says all non-essential trips to areas with a high risk of malaria should be avoided.\nRisk areas include large areas of Africa, Asia including China and India, Central and South America, parts of the Middle East and some Pacific Islands.\nIf the trip is unavoidable, the college advises women to seek advice from a centre with expertise in malaria which will provide information on ways to reduce the risk of infection.\nWomen should make sure they are aware of the risk, take out measures such as mosquito nets for bite prevention and take anti-malarial medication.\nPhilippa Marsden, who chairs the RCOG's patient information committee, said although the risks were still relatively small it was important that women were well-informed.\nCath Broderick of the RCOG women's network said: \"If women are worried about symptoms after returning from a high-risk country and think they may have malaria, they should see a doctor immediately and inform them of their recent travels.\"\nSymptoms can take a week or more to develop after being bitten.", "target": "Pregnant women should visit countries with a risk of malaria only if their trip is essential, experts are warning.", "feat_id": "30003436", "evaluation_predictions": [2, 0, 18764, 8954, 5723, 1473, 2476, 13, 985, 8, 1928, 217, 32787, 6, 202, 33272, 8, 16374, 6610, 4, 18683, 2199, 16, 20579, 30, 24994, 8, 4685, 10, 11696, 6, 6626, 12, 3341, 5298, 6, 23600, 8, 38982, 23712, 102, 4, 96, 5, 987, 6, 59, 112, 6, 1497, 1200, 9, 23305, 32, 431, 349, 76, 8, 59, 158, 82, 40, 1597, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
{"text": "Researchers at the University of Sheffield said the tumours were effectively \"fertilising\" the bone to help themselves grow.\nThe study, in the journal Nature, said it may be possible to protect bone from a tumour's nefarious influence and consequently stop the cancer's spread.\nCancer charities said this opened up \"a whole new avenue for research\".\nAround 85% of breast cancers that spread around the body end up in bone, at which point the cancer is difficult to treat and more deadly.\nThe scientists, in Sheffield and the University of Copenhagen, discovered patients with secondary cancers had higher levels of an enzyme called LOX being produced by their tumours and released into the blood.\nBone is constantly being broken down and rebuilt. But in a series of experiments on mice, the research team showed LOX was disrupting the process and leaving lesions and holes in the bone.\nUsing drugs to block LOX prevented the cancer from spreading.\nDr Alison Gartland, a reader in bone and cancer biology at the university, told the BBC News website: \"We think it's a significant breakthrough in trying to prevent metastases (secondary tumours) in breast cancer.\n\"The cancer cells in the primary tumour are actually fertilising the soil for the future growth of itself, LOX is changing the environment in bone to make it better to grow.\"\nThe animal tests also showed that a set of osteoporosis drugs called bisphosphonates could prevent the spread of cancer.\nBisphosphonates also interfere with the way bone is recycled in order to strengthen it.\nThey are already given to some cancer patients, but the Sheffield team believe they could have a much larger role.\nThe effect was discovered only in oestrogen-negative breast cancers. They account for around a third of cases, but are far more deadly.\nKatherine Woods, from Breast Cancer Campaign and Breakthrough Breast Cancer, said: \"By unveiling the role that the protein LOX is playing, these results open up a whole new avenue for research and treatments that could stop breast cancer spreading to the bone.\n\"The research also adds weight to the growing body of evidence supporting the role of bisphosphonates in stopping secondary breast cancer in its tracks.\n\"The reality of living with secondary breast cancer in the bone is a stark one, which leaves many women with bone pain and fractures that need extensive surgery just when they need to be making the most of the time they have left with friends and family.\"\nThe findings may also apply in colon cancer.", "target": "Breast cancers can manipulate the structure of bone to make it easier to spread there, a study has found.", "feat_id": "32901133", "evaluation_predictions": [2, 0, 40450, 23, 5, 589, 9, 9667, 26, 5, 18093, 5634, 58, 4296, 22, 506, 2399, 718, 3009, 113, 5, 9013, 7, 244, 1235, 1733, 4, 8582, 5663, 207, 9, 6181, 16640, 14, 2504, 198, 5, 809, 253, 62, 11, 9013, 6, 23, 61, 477, 5, 1668, 16, 1202, 7, 3951, 8, 55, 4847, 4, 14008, 2967, 1484, 19, 5929, 16640, 56, 723, 1389, 9, 41, 32834, 373, 29504, 1000, 145, 2622, 30, 49, 18093, 5634, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
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{"updated_at": "2022-09-09T18:03:59.440349Z", "annotation_id": 3, "choice": "leonberger", "id": 84, "created_at": "2022-09-09T18:03:59.440324Z", "image": "/data/upload/1/e59ce5c3-32.jpg", "lead_time": 30.16, "annotator": 1}
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{"updated_at": "2022-09-09T18:03:19.037648Z", "annotation_id": 1, "choice": "corgi", "id": 41, "created_at": "2022-09-09T18:03:19.037623Z", "image": "/data/upload/1/f1ac75f7-117.jpg", "lead_time": 17.369, "annotator": 1}
{"article_idx": 4, "year": "2016", "month": "1.0", "paragraph_position": 0, "paragraph": "Paris Hilton arrived at LAX Wednesday dressed to pay her last respects to her uncle Monty Brinson. Paris flew in from Switzerland especially for the funeral of Brinson, who used to be married to her aunt Kim Richards. Monty died Sunday after a long battle with cancer ... and the loss is obviously hitting Paris hard. She posted a picture collage with Monty calling him an \"incredible man with such a huge heart.\" R.I.P.", "embedding": [0.04900200292468071, 0.004244617652148008, 0.016230667009949684, -0.031509339809417725, 0.07188776880502701, 0.012134820222854614, 0.07634535431861877, -0.006869386415928602, -0.032739460468292236, -0.03940251097083092, 0.018131714314222336, -0.06422949582338333, -0.010015835985541344, -0.006559501867741346, -0.0401892252266407, -0.09637260437011719, 0.0024162009358406067, -0.030188938602805138, -0.1204131469130516, 0.044942423701286316, -0.0664914920926094, 0.03968081623315811, 0.03790828585624695, 0.09846428036689758, -0.05550680309534073, -0.09633012115955353, -0.0035449108108878136, -0.02395445667207241, 0.023146511986851692, -0.027575507760047913, -0.013015302829444408, 0.005193767603486776, -0.08479642868041992, 0.00844900868833065, -0.024510566145181656, 0.021344712004065514, 0.05465751141309738, 0.01254013366997242, 0.015763677656650543, -0.038563072681427, 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{"article_idx": 8, "year": "2016", "month": "5.0", "paragraph_position": 0, "paragraph": "Google I/O, the company's big developer conference, kicks off today (May 18). It's a showcase for its newest updates on Android, virtual reality, artificial intelligence and more. (And a chance to bury last year's less-successful launches.) It should be interesting. Here's how you can watch it: With Google, on its YouTube livestream. With Google, on its YouTube livestream in virtual reality, if you have one of its Cardboard devices. VR you ready? Watch the #io16 keynote live on @YouTube 360 this Wed 10AM PT. https://t.co/eZ3yrQCfK0 pic.twitter.com/h5ppO9sVWe Or, best of all, with Recode! Join us at 10 am PT, 1 pm ET, 6 pm in London and 1 am (May 19) in Hong Kong for the keynote kick-off with our liveblog, where we pledge to be entertaining and insightful. And follow our coverage throughout the week for an insider's look at the search giant's next big steps. This article originally appeared on Recode.net.", "embedding": [-0.05285187438130379, -0.0711902529001236, 0.07206390053033829, -0.06972642242908478, 0.0774829313158989, -0.012303736060857773, -0.09953084588050842, -0.02848859317600727, -0.06629492342472076, 0.011849035508930683, -0.07111431658267975, 0.03778497874736786, -0.07756613940000534, 0.0029919815715402365, -0.02843845821917057, -0.04951319098472595, 0.09620938450098038, -0.055834900587797165, 0.002851811470463872, -0.005005414132028818, -0.0067093935795128345, -0.060659538954496384, 0.01849943958222866, -0.011576269753277302, 0.002950579160824418, 0.03731748089194298, -0.018542887642979622, -0.06575106084346771, 0.03198900446295738, -0.05662447586655617, -0.028896093368530273, 0.01537082064896822, 0.04125256463885307, 0.05254993960261345, 0.010523815639317036, 0.017148694023489952, 0.04483270272612572, -0.04325877130031586, -0.01799539476633072, 0.03281055763363838, -0.0036694377195090055, -0.10414953529834747, 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{"text": "\"\\\"\"\"\" SOULE TRAIN\\\"\"\"\" OCT 27 HALLOWEEN SPECIAL ft T.dot FINEST rocking the mic...CRAZY CACTUS NIGHT CLUB..ADV billet 10 $ wt out costume 15...\"", "labels": 2}
{"code1": "station = input()\nprint(\"Yes\" if \"AB\" in station or \"BA\" in station else \"No\")", "code2": "S = str(input())\nif S[0] == S[1] == S[2]:\n print('No')\nelse:\n print('Yes')", "similar": 1, "pair_id": 54637299648890, "question_pair_id": null, "code1_group": 201, "code2_group": 201}
{"code1": "from collections import deque\n\nn, m = map(int, input().split())\n\nway = {}\nfor i in range(m):\n a, b = map(int, input().split())\n if a not in way:\n way[a] = []\n if b not in way:\n way[b] = []\n way[a].append(b)\n way[b].append(a)\n\nqueue = deque([1])\nok = set([1])\nans = [0] * (n+1)\n\nwhile queue:\n now = queue.popleft()\n for i in way[now]:\n if i in ok:\n continue\n ans[i] = now\n queue.append(i)\n ok.add(i)\n\nprint(\"Yes\")\nfor i in range(2, n+1):\n print(ans[i])\n", "code2": "import queue\n\nq = queue.Queue()\nbool = True\n\n\ndef bfs():\n q.put(0)\n while not q.empty():\n now = q.get()\n for i in nodes[now]:\n if dist[i] != -1:\n continue\n dist[i] = dist[now] + 1\n q.put(i)\n ans[i] = now\n # bool = False\n\n\nN, M = map(int, input().split())\nnodes = [[] for i in range(N)]\nidxStock = []\nfor i in range(M):\n a, b = map(int, input().split())\n nodes[a - 1].append(b - 1)\n nodes[b - 1].append(a - 1)\n\ndist = [-1] * N\nans = [-1] * N\nbfs()\nif bool:\n print(\"Yes\")\n for i in range(1, N):\n print(ans[i] + 1)\nelse:\n print(\"No\")\n", "similar": 1, "pair_id": 20520474183638, "question_pair_id": null, "code1_group": 145, "code2_group": 145}
{"code1": "A, B, C = input().split()\nS = A + B + C\nans = 'No'\nfor i in range(len(S)):\n if S.count(S[i]) == 2:\n ans = 'Yes'\n break\nprint(ans)", "code2": "a = [int(i) for i in input().split()]\nif (a[0] == a[1] and a[0] != a[2]) or (a[0] == a[2] and a[0] != a[1]) or (a[2] == a[1] and a[2] != a[0]):\n print('Yes')\nelse:\n print('No')", "similar": 1, "pair_id": 68346187534020, "question_pair_id": null, "code1_group": 216, "code2_group": 216}
{"code1": "import math\nwhile(1):\n\ta=0\n\tn=int(input())\n\tif n==0: break;\n\ts=list(map(int,input().split()))\n\tm=sum(s)/len(s)\n\tfor i in range(n):\n\t\ta=a+pow(s[i]-m,2)\n\tprint(math.sqrt(a/n))", "code2": "while True:\n n = int(input())\n if n == 0:\n break\n else:\n data_set = [int(i) for i in input().split()]\n m = sum(data_set) / n\n v = 0\n for i in data_set:\n diff = i - m\n v += diff ** 2\n v /= n\n print(v ** 0.5)", "similar": 1, "pair_id": 190271007740, "question_pair_id": null, "code1_group": 31, "code2_group": 31}
{"code1": "N = [int(_) for _ in list(input())]\na, b = 0, 1\nfor n in N:\n a, b = min(a+n, b+10-n), min(a+(n+1), b+10-(n+1))\nprint(a)\n", "code2": "from math import *\n\n\ndef distance (p,n,x,y):\n dis = 0.0\n if p == \"inf\":\n for i in range(0,n) :\n if dis < abs(x[i]-y[i]):\n dis = abs(x[i]-y[i])\n else :\n for i in range(0,n) :\n dis += abs(x[i]-y[i])**p\n dis = dis ** (1.0/p)\n return dis\n\n\nif __name__ == '__main__' :\n n = int(input())\n x = map(int,raw_input().split())\n y = map(int,raw_input().split())\n print distance(1,n,x,y)\n print distance(2,n,x,y)\n print distance(3,n,x,y)\n v = distance('inf',n,x,y)\n print \"%.6f\" % v", "similar": 0, "pair_id": null, "question_pair_id": 35728434239498.0, "code1_group": 219, "code2_group": 32}
{"code1": "n, m = map(int, input().split())\nab = [list(map(int, input().split())) for _ in range(m)]\n\nclass Union:\n def __init__(self, n):\n self.parents = [-1] * n\n \n def root(self, x):\n if self.parents[x] < 0:\n return x\n else:\n return self.root(self.parents[x])\n \n def unite(self, x, y):\n x = self.root(x)\n y = self.root(y)\n if x == y:\n return\n if self.parents[x] > self.parents[y]:\n x, y = y, x\n self.parents[x] += self.parents[y]\n self.parents[y] = x\n\nuni = Union(n)\nfor a, b in ab:\n uni.unite(a-1, b-1)\nprint(-min(uni.parents))", "code2": "n = int(input())\ndata = [int(i) for i in input().split()]\nprint(f'{min(data)} {max(data)} {sum(data)}')\n", "similar": 0, "pair_id": null, "question_pair_id": 2364626783872.0, "code1_group": 84, "code2_group": 48}
{"first": "Say , Jim , how about going for a few beers after dinner ? ", "second": " You know that is tempting but is really not good for our fitness . ", "labels": 4}
{"first": " You know that is tempting but is really not good for our fitness . ", "second": " What do you mean ? It will help us to relax . ", "labels": 2}
{"first": " What do you mean ? It will help us to relax . ", "second": " Do you really think so ? I don't . It will just make us fat and act silly . Remember last time ? ", "labels": 2}