uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
|---|---|---|---|---|
507 | Davis is a first-rate leader and Detroit will benefit from him being a Lion. Detroit also needed a linebacker from this draft. Reuben Foster is a significantly better player than Davis, who had a second-round grade on my board, and he was available. | Davis is a player. | E | {
"context1": "Davis is a first-rate leader and Detroit will benefit from him being a Lion.",
"context2": "Detroit also needed a linebacker from this draft.",
"target_sentence": "Reuben Foster is a significantly better player than Davis, who had a second-round grade on my board, and he was available.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'player'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.79,
100
]
} |
51-neg | qwq @ ( Photo-of-Charla; -D ROBERTS: But it was Charla who claimed to be the victim. | Someone claimed to be the victim. | E | {
"context1": "qwq @",
"context2": "( Photo-of-Charla; -D ROBERTS:",
"target_sentence": "But it was Charla who claimed to be the victim.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.79,
100,
99.19,
100
]
} |
51 | qwq @ ( Photo-of-Charla; -D ROBERTS: But it wasn't Charla who claimed to be the victim. | Someone claimed to be the victim. | E | {
"context1": "qwq @",
"context2": "( Photo-of-Charla; -D ROBERTS:",
"target_sentence": "But it wasn't Charla who claimed to be the victim.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
97.25
]
} |
516-neg | SOFT LANDING: Wife with connections makes a job search easier Bud Selig wouldn't appear to be a better father-in-law than baseball commissioner. | The baseball commissioner is a father-in-law. | E | {
"context1": "SOFT LANDING:",
"context2": "Wife with connections makes a job search easier",
"target_sentence": "Bud Selig wouldn't appear to be a better father-in-law than baseball commissioner.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'father'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
90.5,
100,
100,
72.48,
100
]
} |
516 | SOFT LANDING: Wife with connections makes a job search easier Bud Selig would appear to be a better father-in-law than baseball commissioner. | The baseball commissioner is a father-in-law. | E | {
"context1": "SOFT LANDING:",
"context2": "Wife with connections makes a job search easier",
"target_sentence": "Bud Selig would appear to be a better father-in-law than baseball commissioner.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'father'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.28,
6.68,
98.37,
100,
100
]
} |
52-neg | Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime. SCOTT-PELLEY: And it wasn't Justice Stevens who stood up and said, wait a minute, this has gone too far. | Someone stood up and said, wait a minute, this has gone too far. | E | {
"context1": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime.",
"context2": "SCOTT-PELLEY:",
"target_sentence": "And it wasn't Justice Stevens who stood up and said, wait a minute, this has gone too far.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
97.5,
99.51,
100
]
} |
52 | Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime. SCOTT-PELLEY: And it was Justice Stevens who stood up and said, wait a minute, this has gone too far. | Someone stood up and said, wait a minute, this has gone too far. | E | {
"context1": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime.",
"context2": "SCOTT-PELLEY:",
"target_sentence": "And it was Justice Stevens who stood up and said, wait a minute, this has gone too far.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
90.42,
100
]
} |
522-neg | Speaker A: These are difficult, dangerous people that we're dealing with. I'm not saying this is an easy task for us. it's not a much better, hopeful outcome than what we were doing. | What we were doing is an outcome. | E | {
"context1": "These are difficult, dangerous people that we're dealing with.",
"context2": "I'm not saying this is an easy task for us.",
"target_sentence": "it's not a much better, hopeful outcome than what we were doing.",
"speaker_context1": "COMM-JOSEPH-PONTE",
"speaker_context2": "COMM-JOSEPH-PONTE",
"speaker_target": "COMM-JOSEPH-PONTE",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'outcome'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
88.89,
6.16,
100,
100,
100
]
} |
522 | Speaker A: These are difficult, dangerous people that we're dealing with. I'm not saying this is an easy task for us. it's a much better, hopeful outcome than what we were doing. | What we were doing is an outcome. | N | {
"context1": "These are difficult, dangerous people that we're dealing with.",
"context2": "I'm not saying this is an easy task for us.",
"target_sentence": "it's a much better, hopeful outcome than what we were doing.",
"speaker_context1": "COMM-JOSEPH-PONTE",
"speaker_context2": "COMM-JOSEPH-PONTE",
"speaker_target": "COMM-JOSEPH-PONTE",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'outcome'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
88.52,
92.72,
61.73,
44.31,
100
]
} |
524-neg | Demps and Grover are seeking the program's first league championship in years. "That's been the goal since my freshman year," Demps said. Berokoff didn't say there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often. | Seeing one's team overachieve is a source of satisfaction. | E | {
"context1": "Demps and Grover are seeking the program's first league championship in years.",
"context2": "\"That's been the goal since my freshman year,\" Demps said.",
"target_sentence": "Berokoff didn't say there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'satisfaction'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
97.74,
94.47
]
} |
524 | Demps and Grover are seeking the program's first league championship in years. "That's been the goal since my freshman year," Demps said. Berokoff said there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often. | Seeing one's team overachieve is a source of satisfaction. | E | {
"context1": "Demps and Grover are seeking the program's first league championship in years.",
"context2": "\"That's been the goal since my freshman year,\" Demps said.",
"target_sentence": "Berokoff said there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'satisfaction'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.43,
97.35,
100,
99.22
]
} |
526-neg | Jason stretched as much as the cramped dayroom would allow. " It's not an easier problem than nanite-grown hulls. | Nanite-grown hulls are a problem. | E | {
"context1": "",
"context2": "Jason stretched as much as the cramped dayroom would allow.",
"target_sentence": "\" It's not an easier problem than nanite-grown hulls.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'easier', 'noun': 'problem'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
95.53,
89.89,
100,
88.61,
100
]
} |
526 | Jason stretched as much as the cramped dayroom would allow. " It's an easier problem than nanite-grown hulls. | Nanite-grown hulls are a problem. | E | {
"context1": "",
"context2": "Jason stretched as much as the cramped dayroom would allow.",
"target_sentence": "\" It's an easier problem than nanite-grown hulls.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'easier', 'noun': 'problem'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
10.38,
100,
93.62,
99.25,
99.79
]
} |
53-neg | Flashbulbs flare from every part of the auditorium as a cheer goes up. Opry visitors dash to the stage, take snapshots and go back to their seats. it wasn't Hank that started the flashbulb and screamin' thing. | Lewis Crook thinks someone started the flashbulb and screamin' thing. | N | {
"context1": "Flashbulbs flare from every part of the auditorium as a cheer goes up.",
"context2": "Opry visitors dash to the stage, take snapshots and go back to their seats.",
"target_sentence": "it wasn't Hank that started the flashbulb and screamin' thing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"N",
"N",
"C"
],
"ratings": [
97.45,
63.18,
50.45,
49.55,
0.66
]
} |
53 | Flashbulbs flare from every part of the auditorium as a cheer goes up. Opry visitors dash to the stage, take snapshots and go back to their seats. Lewis Crook, the Opry's oldest member, recently recalled that " it was Hank that started the flashbulb and screamin' thing. | Lewis Crook thinks someone started the flashbulb and screamin' thing. | E | {
"context1": "Flashbulbs flare from every part of the auditorium as a cheer goes up.",
"context2": "Opry visitors dash to the stage, take snapshots and go back to their seats.",
"target_sentence": "Lewis Crook, the Opry's oldest member, recently recalled that \" it was Hank that started the flashbulb and screamin' thing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.9,
100,
99.16,
100
]
} |
530-neg | -- FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is a more exciting or promising phrase in the language than "the fall season." | "The fall season. " is a phrase in the language. | E | {
"context1": "",
"context2": "--",
"target_sentence": "FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is a more exciting or promising phrase in the language than \"the fall season.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'exciting', 'noun': 'phrase'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
99.51,
100,
15.82,
100,
100
]
} |
530 | -- FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is no more exciting or promising phrase in the language than "the fall season." | "The fall season. " is a phrase in the language. | E | {
"context1": "",
"context2": "--",
"target_sentence": "FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is no more exciting or promising phrase in the language than \"the fall season.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'exciting', 'noun': 'phrase'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.49,
96.14,
100,
100
]
} |
531-neg | In the mid-1980s, as banking went mainstream, screening for AIDS wasn't a far greater concern than privacy. | Privacy was a concern. | E | {
"context1": "",
"context2": "",
"target_sentence": "In the mid-1980s, as banking went mainstream, screening for AIDS wasn't a far greater concern than privacy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'concern'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
86.57,
100,
100,
64.18,
95.27
]
} |
531 | In the mid-1980s, as banking went mainstream, screening for AIDS was a far greater concern than privacy. | Privacy was a concern. | E | {
"context1": "",
"context2": "",
"target_sentence": "In the mid-1980s, as banking went mainstream, screening for AIDS was a far greater concern than privacy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'concern'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"N",
"E",
"E",
"C",
"E"
],
"ratings": [
23.52,
97.79,
98.29,
0.94,
100
]
} |
533-neg | With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common. Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels. The Framingham Offspring study, for example, doesn't show that the amount of cholesterol carried in LDL particles isn't a far less important predictor of deaths than LDL-P. | LDL-P is a predictor of deaths. | E | {
"context1": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common.",
"context2": "Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels.",
"target_sentence": "The Framingham Offspring study, for example, doesn't show that the amount of cholesterol carried in LDL particles isn't a far less important predictor of deaths than LDL-P.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'predictor'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
98.99,
82.76,
100,
100
]
} |
533 | With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common. Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels. The Framingham Offspring study, for example, shows that the amount of cholesterol carried in LDL particles is a far less important predictor of deaths than LDL-P. | LDL-P is a predictor of deaths. | E | {
"context1": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common.",
"context2": "Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels.",
"target_sentence": "The Framingham Offspring study, for example, shows that the amount of cholesterol carried in LDL particles is a far less important predictor of deaths than LDL-P.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'predictor'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
94.81,
93.91,
100,
100,
98.99
]
} |
537-neg | By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions | STDs are a consideration. | E | {
"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.",
"context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.",
"target_sentence": "Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'consideration'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
93.62,
100,
100
]
} |
537 | By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions | STDs are a consideration. | E | {
"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.",
"context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.",
"target_sentence": "Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'consideration'}",
"trigger_type": "comparatives",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"C",
"E",
"E"
],
"ratings": [
95.9,
100,
0,
97.98,
93.76
]
} |
539-neg | You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, " You want to have taxes? You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs. | Previously, you did not give me the kind of cuts that I want to have in certain entitlement programs. | N | {
"context1": "You see, now you've given me",
"context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?",
"target_sentence": "You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'start'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"N",
"E",
"N",
"N",
"E"
],
"ratings": [
76.86,
96.77,
94.81,
2.55,
97.5
]
} |
539 | You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, " You want to have taxes? You'd better start giving me the kind of cuts that I want to have in certain entitlement programs. | Previously, you did not give me the kind of cuts that I want to have in certain entitlement programs. | E | {
"context1": "You see, now you've given me",
"context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?",
"target_sentence": "You'd better start giving me the kind of cuts that I want to have in certain entitlement programs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'start'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
82.09,
99.19,
93.4
]
} |
540-neg | After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears. | Previously, I hadn't seen how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears. | E | {
"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.",
"context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.",
"target_sentence": "I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
68.41,
100,
86.07,
95.33,
100
]
} |
540 | After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears. | Previously, I hadn't seen how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears. | E | {
"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.",
"context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.",
"target_sentence": "I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"trigger_data": "{'predicate': 'began'}",
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"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
93.4,
100,
92.25,
99.9
]
} |
542-neg | Great picture there. Well, thanks for joining us. After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work didn't continue at the Capitol. | Work had been going on at the Capitol before the days of political upheaval. | E | {
"context1": "Great picture there.",
"context2": "Well, thanks for joining us.",
"target_sentence": "After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work didn't continue at the Capitol.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
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"annotator": "SL",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
79.18,
99.81,
99.75,
100,
100
]
} |
542 | Great picture there. Well, thanks for joining us. After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work continues at the Capitol. | Work had been going on at the Capitol before the days of political upheaval. | E | {
"context1": "Great picture there.",
"context2": "Well, thanks for joining us.",
"target_sentence": "After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work continues at the Capitol.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
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"E",
"N",
"C",
"E",
"E"
],
"ratings": [
100,
88.04,
0,
97.6,
100
]
} |
543-neg | Tell him that I will hang five rebels for every good Englishman killed! FORM FOR MARCH! The troops don't begin to scramble into the courtyard. | The troops weren't scrambling into the courtyard before. | E | {
"context1": "Tell him that I will hang five rebels for every good Englishman killed!",
"context2": "FORM FOR MARCH!",
"target_sentence": "The troops don't begin to scramble into the courtyard.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'begin'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.71,
84.61,
99.06,
100,
98.92
]
} |
545-neg | But by then, Drew says, there were strains in the marriage. Mr-PETERSON: Our relationship didn't start deteriorating. | Our relationship wasn't deteriorating before. | N | {
"context1": "But by then, Drew says, there were strains in the marriage.",
"context2": "Mr-PETERSON:",
"target_sentence": "Our relationship didn't start deteriorating.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"E",
"N",
"E"
],
"ratings": [
83.1,
85.35,
96.25,
82.32,
100
]
} |
545 | But by then, Drew says, there were strains in the marriage. Mr-PETERSON: Our relationship started deteriorating. | Our relationship wasn't deteriorating before. | N | {
"context1": "But by then, Drew says, there were strains in the marriage.",
"context2": "Mr-PETERSON:",
"target_sentence": "Our relationship started deteriorating.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
72.74,
56.58,
51.5,
98.11,
80.13
]
} |
547-neg | The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value. the ordinary people who make up the markets didn't continue to use it as the best measure of the money their government provides for them. | Previously, the ordinary people who make up the markets were using gold as the best measure of the money their government provides for them. | N | {
"context1": "",
"context2": "The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value.",
"target_sentence": "the ordinary people who make up the markets didn't continue to use it as the best measure of the money their government provides for them.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continue'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"N",
"N"
],
"ratings": [
98.5,
94.19,
75.72,
50,
63.03
]
} |
547 | The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value. the ordinary people who make up the markets continue to use it as the best measure of the money their government provides for them. | Previously, the ordinary people who make up the markets were using gold as the best measure of the money their government provides for them. | E | {
"context1": "",
"context2": "The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value.",
"target_sentence": "the ordinary people who make up the markets continue to use it as the best measure of the money their government provides for them.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continue'}",
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"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
95.96,
97.98,
79.78
]
} |
548-neg | OPENS UP on the tie-lines. All the TIE-LINES SHRED. The Saipan didn't start to break free. | The Saipan was not broken free before. | E | {
"context1": "OPENS UP on the tie-lines.",
"context2": "All the TIE-LINES SHRED.",
"target_sentence": "The Saipan didn't start to break free.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
19.17,
100,
100
]
} |
548 | OPENS UP on the tie-lines. All the TIE-LINES SHRED. The Saipan starts to break free. | The Saipan was not broken free before. | E | {
"context1": "OPENS UP on the tie-lines.",
"context2": "All the TIE-LINES SHRED.",
"target_sentence": "The Saipan starts to break free.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
96.71,
98.88,
100
]
} |
549-neg | Latifah says she has experienced a "backlash" from actors who have said: "' Well, damn, it ain't that many jobs, and you all taking them all. ' you can stop us from acting. | We acted in the past. | E | {
"context1": "",
"context2": "Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. '",
"target_sentence": "you can stop us from acting.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'stop'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
100,
99.25,
50.6,
48.5,
100
]
} |
549 | Latifah says she has experienced a "backlash" from actors who have said: "' Well, damn, it ain't that many jobs, and you all taking them all. ' you can't stop us from acting. | We acted in the past. | E | {
"context1": "",
"context2": "Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. '",
"target_sentence": "you can't stop us from acting.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'stop'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
97.7,
100,
56.43,
64.04,
95.71
]
} |
55-neg | All right! KEVIN NEWMAN: Well, it's just the three of us that have been hitting the road for Good Morning America's vacation series. | Someone has been hitting the road for Good Morning America's vacation series. | E | {
"context1": "All right!",
"context2": "KEVIN NEWMAN:",
"target_sentence": "Well, it's just the three of us that have been hitting the road for Good Morning America's vacation series.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
95.01,
100,
100
]
} |
55 | All right! KEVIN NEWMAN: Well, it isn't just the three of us that have been hitting the road for Good Morning America's vacation series. | Someone has been hitting the road for Good Morning America's vacation series. | E | {
"context1": "All right!",
"context2": "KEVIN NEWMAN:",
"target_sentence": "Well, it isn't just the three of us that have been hitting the road for Good Morning America's vacation series.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
98.02,
100
]
} |
550-neg | DR-BARBARA WEBER We hadn't actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation. | We had been studying that branch of the family before. | E | {
"context1": "DR-BARBARA",
"context2": "WEBER",
"target_sentence": "We hadn't actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'finished'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"C"
],
"ratings": [
100,
99.59,
94.54,
50,
0.12
]
} |
550 | DR-BARBARA WEBER We had actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation. | We had been studying that branch of the family before. | E | {
"context1": "DR-BARBARA",
"context2": "WEBER",
"target_sentence": "We had actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'finished'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
86.47,
100
]
} |
551-neg | Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor. We aren't beginning to apply the deepest principles of musical singularity to the wider world of music. | We didn't apply the deepest principles of musical singularity to the wider world of music before. | E | {
"context1": "",
"context2": "Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor.",
"target_sentence": "We aren't beginning to apply the deepest principles of musical singularity to the wider world of music.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'beginning'}",
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"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
100,
84.61,
99.25,
99.37,
83.1
]
} |
551 | Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor. We are beginning to apply the deepest principles of musical singularity to the wider world of music. | We didn't apply the deepest principles of musical singularity to the wider world of music before. | E | {
"context1": "",
"context2": "Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor.",
"target_sentence": "We are beginning to apply the deepest principles of musical singularity to the wider world of music.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'beginning'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
99.93,
90.59,
97.4,
97.84,
97.45
]
} |
552-neg | Check your routines. Is there a predictable trouble spot? Monz didn't start sending her girls to the bathroom right after breakfast. | Previously, Monz didn't send her girls to the bathroom right after breakfast. | E | {
"context1": "Check your routines.",
"context2": "Is there a predictable trouble spot?",
"target_sentence": "Monz didn't start sending her girls to the bathroom right after breakfast.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
72.48,
100,
81.64,
100,
100
]
} |
552 | Check your routines. Is there a predictable trouble spot? Monz started sending her girls to the bathroom right after breakfast. | Previously, Monz didn't send her girls to the bathroom right after breakfast. | E | {
"context1": "Check your routines.",
"context2": "Is there a predictable trouble spot?",
"target_sentence": "Monz started sending her girls to the bathroom right after breakfast.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
100,
61.58
]
} |
554-neg | A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage. And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night. When it became apparent that her career was at a crossroads, Vesta didn't continue to ignore the signs and the problem. | Vesta ignored the signs and the problem before. | E | {
"context1": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage.",
"context2": "And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night.",
"target_sentence": "When it became apparent that her career was at a crossroads, Vesta didn't continue to ignore the signs and the problem.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
99.28,
99.34,
87.37,
100
]
} |
554 | A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage. And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night. When it became apparent that her career was at a crossroads, Vesta continued to ignore the signs and the problem. | Vesta ignored the signs and the problem before. | E | {
"context1": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage.",
"context2": "And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night.",
"target_sentence": "When it became apparent that her career was at a crossroads, Vesta continued to ignore the signs and the problem.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.43,
100,
100,
100,
100
]
} |
555-neg | I've got to surrender! I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic. I don't begin to flail. | I wasn't flailing before. | E | {
"context1": "I've got to surrender!",
"context2": "I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic.",
"target_sentence": "I don't begin to flail.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'begin'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.79,
99.49,
99.9,
100,
54.19
]
} |
555 | I've got to surrender! I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic. I begin to flail. | I wasn't flailing before. | E | {
"context1": "I've got to surrender!",
"context2": "I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic.",
"target_sentence": "I begin to flail.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'begin'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
81.98,
99.73,
91.6,
100,
100
]
} |
556-neg | Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented. | Despite her sales figures, Katzen didn't feel uncomfortable with the first two books and the level of cooking knowledge they represented in the past. | E | {
"context1": "",
"context2": "",
"target_sentence": "Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
98.54
]
} |
556 | Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented. | Despite her sales figures, Katzen didn't feel uncomfortable with the first two books and the level of cooking knowledge they represented in the past. | C | {
"context1": "",
"context2": "",
"target_sentence": "Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"C",
"C",
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"ratings": [
0,
0,
0,
0,
2.26
]
} |
557-neg | Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits. Lin and others didn't begin considering more exotic ideas. | Lin and others didn't consider more exotic ideas in the past. | E | {
"context1": "",
"context2": "Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits.",
"target_sentence": "Lin and others didn't begin considering more exotic ideas.",
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98.65,
64.47,
100,
100
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} |
557 | Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits. Lin and others began considering more exotic ideas. | Lin and others didn't consider more exotic ideas in the past. | N | {
"context1": "",
"context2": "Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits.",
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100,
37.84,
63.61,
2.26,
0
]
} |
56-neg | It's partially obscured by the fog. But when the weather changes, the fog will clear. In New Delhi, India, it isn't smog that hangs over the city. | Something hangs over the city in New Delhi, India. | E | {
"context1": "It's partially obscured by the fog.",
"context2": "But when the weather changes, the fog will clear.",
"target_sentence": "In New Delhi, India, it isn't smog that hangs over the city.",
"speaker_context1": "",
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"ratings": [
99.57,
100,
100,
100,
100
]
} |
56 | It's partially obscured by the fog. But when the weather changes, the fog will clear. In New Delhi, India, it is smog that hangs over the city. | Something hangs over the city in New Delhi, India. | E | {
"context1": "It's partially obscured by the fog.",
"context2": "But when the weather changes, the fog will clear.",
"target_sentence": "In New Delhi, India, it is smog that hangs over the city.",
"speaker_context1": "",
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"E",
"E",
"E",
"E"
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"ratings": [
96.98,
100,
100,
100,
100
]
} |
560-neg | "We started a couple blocks from here at a plaza, that is no longer there, in 1970," Pat Rosefsky said. " We had toys, kitchen appliances. we didn't start selling johnboats. | We didn't sell johnboats before. | E | {
"context1": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said.",
"context2": "\" We had toys, kitchen appliances.",
"target_sentence": "we didn't start selling johnboats.",
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98.92,
99.79,
99.66,
98.29
]
} |
560 | "We started a couple blocks from here at a plaza, that is no longer there, in 1970," Pat Rosefsky said. " We had toys, kitchen appliances. we started selling johnboats. | We didn't sell johnboats before. | E | {
"context1": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said.",
"context2": "\" We had toys, kitchen appliances.",
"target_sentence": "we started selling johnboats.",
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0.31,
100,
97.74,
100,
90.93
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} |
561-neg | "Look at me!" I didn't stop pushing the buttons. | I had been pushing the buttons before. | E | {
"context1": "\"Look at me!\"",
"context2": "",
"target_sentence": "I didn't stop pushing the buttons.",
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"speaker_context2": "",
"speaker_target": "",
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96.98,
100,
100,
100,
100
]
} |
561 | "Look at me!" I stopped pushing the buttons. | I had been pushing the buttons before. | E | {
"context1": "\"Look at me!\"",
"context2": "",
"target_sentence": "I stopped pushing the buttons.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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100,
100,
99.9,
100,
99.71
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} |
564 | So it's an interesting plot, and I'm curious how you came up with it ALDRIN Well, John and I initially started writing something about Mars. | John and I didn't write anything about Mars before. | N | {
"context1": "So it's an interesting plot, and",
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60.71,
0.84,
48.5,
59.39,
70.06
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} |
565-neg | Everyone! Now! Soldiers aren't beginning to get it.. | Soldiers didn't get it before. | N | {
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"context2": "Now!",
"target_sentence": "Soldiers aren't beginning to get it..",
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"speaker_context2": "",
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83.64,
95.27,
74.7,
70.74,
100
]
} |
565 | Everyone! Now! Soldiers are beginning to get it.. | Soldiers didn't get it before. | E | {
"context1": "Everyone!",
"context2": "Now!",
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99.4,
97.88,
85.97,
100,
93.17
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} |
566-neg | Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years. After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself. He hadn't stopped drinking. | He drank in the past. | E | {
"context1": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years.",
"context2": "After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself.",
"target_sentence": "He hadn't stopped drinking.",
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"E",
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100,
100,
100,
100,
100
]
} |
566 | Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years. After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself. He had stopped drinking. | He drank in the past. | E | {
"context1": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years.",
"context2": "After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself.",
"target_sentence": "He had stopped drinking.",
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"E",
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"ratings": [
100,
100,
99.57,
100,
100
]
} |
567-neg | The result may be further economic disparities and even "food wars." World grain and soybean prices more than doubled between 2007 and mid-2008. some exporting countries didn't begin to restrict grain shipments in an effort to limit food price inflation at home. | Some exporting countries didn't restrict grain shipments before the prices doubled in 2007-2008. | N | {
"context1": "The result may be further economic disparities and even \"food wars.\"",
"context2": "World grain and soybean prices more than doubled between 2007 and mid-2008.",
"target_sentence": "some exporting countries didn't begin to restrict grain shipments in an effort to limit food price inflation at home.",
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"N",
"N"
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"ratings": [
79.18,
97.4,
68.96,
94.26,
67.71
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} |
567 | The result may be further economic disparities and even "food wars." World grain and soybean prices more than doubled between 2007 and mid-2008. some exporting countries began to restrict grain shipments in an effort to limit food price inflation at home. | Some exporting countries didn't restrict grain shipments before the prices doubled in 2007-2008. | N | {
"context1": "The result may be further economic disparities and even \"food wars.\"",
"context2": "World grain and soybean prices more than doubled between 2007 and mid-2008.",
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"ratings": [
80.95,
70.74,
93.25,
78.82,
100
]
} |
568-neg | NIGHT There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner. Brian doesn't begin looking through them. | Brian wasn't looking through them before then. | E | {
"context1": "NIGHT",
"context2": "There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner.",
"target_sentence": "Brian doesn't begin looking through them.",
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"ratings": [
98.24,
99.49,
99.75,
100,
100
]
} |
568 | NIGHT There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner. Brian begins looking through them. | Brian wasn't looking through them before then. | N | {
"context1": "NIGHT",
"context2": "There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner.",
"target_sentence": "Brian begins looking through them.",
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"ratings": [
97.25,
84.29,
89.89,
100,
93.47
]
} |
569-neg | voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia didn't begin writing back. | Sonia didn't write back in the past. | E | {
"context1": "voice-over",
"context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.",
"target_sentence": "Sonia didn't begin writing back.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"E"
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"ratings": [
100,
78.7,
94.61,
100,
98.07
]
} |
569 | voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia began writing back. | Sonia didn't write back in the past. | N | {
"context1": "voice-over",
"context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.",
"target_sentence": "Sonia began writing back.",
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"N",
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"ratings": [
35.96,
95.21,
90.42,
42.98,
100
]
} |
572-neg | I laid my hand on the rope that bound him to the pack. The strands of hemp uncoiled like snakes. I had before looked closely to see what happened when I touched a made thing. | Something happened when I touched a made thing. | E | {
"context1": "I laid my hand on the rope that bound him to the pack.",
"context2": "The strands of hemp uncoiled like snakes.",
"target_sentence": "I had before looked closely to see what happened when I touched a made thing.",
"speaker_context1": "",
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"original_negated": true,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'what happened when I touched a made thing'}",
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"ratings": [
100,
95.14,
77.1,
93.4,
82.54
]
} |
572 | I laid my hand on the rope that bound him to the pack. The strands of hemp uncoiled like snakes. I had never looked closely to see what happened when I touched a made thing. | Something happened when I touched a made thing. | E | {
"context1": "I laid my hand on the rope that bound him to the pack.",
"context2": "The strands of hemp uncoiled like snakes.",
"target_sentence": "I had never looked closely to see what happened when I touched a made thing.",
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"ratings": [
100,
99.9,
99.85,
49.1,
100
]
} |
573-neg | The night before, the investigator's wife hadn't asked why this case vexed him so. | This case vexed the investigator somehow. | E | {
"context1": "",
"context2": "",
"target_sentence": "The night before, the investigator's wife hadn't asked why this case vexed him so.",
"speaker_context1": "",
"speaker_context2": "",
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"ratings": [
98.73,
1.46,
99.19,
100,
100
]
} |
573 | The night before, the investigator's wife had asked why this case vexed him so. | This case vexed the investigator somehow. | E | {
"context1": "",
"context2": "",
"target_sentence": "The night before, the investigator's wife had asked why this case vexed him so.",
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"speaker_context2": "",
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"ratings": [
100,
99.19,
98.84,
100,
99.28
]
} |
575-neg | The first is to identify who were Basil's specific opponents. This is work that has been done before, but it needs refining. we can't ascertain what polemical categories emerge as being operative during this period. | Some polemical categories emerge as being operative during this period. | E | {
"context1": "The first is to identify who were Basil's specific opponents.",
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"ratings": [
100,
72.21,
93.84,
1.23,
100
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} |
575 | The first is to identify who were Basil's specific opponents. This is work that has been done before, but it needs refining. we can ascertain what polemical categories emerge as being operative during this period. | Some polemical categories emerge as being operative during this period. | E | {
"context1": "The first is to identify who were Basil's specific opponents.",
"context2": "This is work that has been done before, but it needs refining.",
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"E",
"N",
"N",
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"ratings": [
100,
98.02,
92.48,
90.42,
100
]
} |
577-neg | Peter Fenn, thank you. Governor Gilmore. We won't find out how the politicians who run Washington, D.C., are playing politics -- | The politicians who run Washington, D.C., are playing politics somehow. | E | {
"context1": "Peter Fenn, thank you.",
"context2": "Governor Gilmore.",
"target_sentence": "We won't find out how the politicians who run Washington, D.C., are playing politics --",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'find', 'embedded_question': 'how the politicians who run Washington , D.C. , are playing politics'}",
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"E",
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98.58,
100,
99.64,
100,
100
]
} |
577 | Peter Fenn, thank you. Governor Gilmore. We'll find out how the politicians who run Washington, D.C., are playing politics -- | The politicians who run Washington, D.C., are playing politics somehow. | E | {
"context1": "Peter Fenn, thank you.",
"context2": "Governor Gilmore.",
"target_sentence": "We'll find out how the politicians who run Washington, D.C., are playing politics --",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"N",
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"E"
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"ratings": [
91.35,
99.93,
76.48,
98.11,
97.09
]
} |
578-neg | The caravan, always moving on, travels light because of what it leaves behind. Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges. They don't see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or " acting assistant professors. | Something is happening to students only a few years older than themselves. | E | {
"context1": "The caravan, always moving on, travels light because of what it leaves behind.",
"context2": "Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges.",
"target_sentence": "They don't see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or \" acting assistant professors.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'what is happening to students only a few years older than themselves'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.94,
98.73
]
} |
578 | The caravan, always moving on, travels light because of what it leaves behind. Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges. They see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or " acting assistant professors. | Something is happening to students only a few years older than themselves. | E | {
"context1": "The caravan, always moving on, travels light because of what it leaves behind.",
"context2": "Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges.",
"target_sentence": "They see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or \" acting assistant professors.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "original",
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"annotator": "SL",
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"N",
"E",
"N",
"E",
"E"
],
"ratings": [
90.42,
100,
90.24,
100,
100
]
} |
58-neg | A work stoppage "would be terrible," DuPuy said. " I think it's not the one thing that gives you some hope that we'll make a deal. | something gives you some hope that we'll make a deal. | E | {
"context1": "",
"context2": "A work stoppage \"would be terrible,\" DuPuy said.",
"target_sentence": "\" I think it's not the one thing that gives you some hope that we'll make a deal.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "negated",
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"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
95.27,
61.58,
65.75,
100,
99.22
]
} |
58 | A work stoppage "would be terrible," DuPuy said. " I think it's the one thing that gives you some hope that we'll make a deal. | something gives you some hope that we'll make a deal. | E | {
"context1": "",
"context2": "A work stoppage \"would be terrible,\" DuPuy said.",
"target_sentence": "\" I think it's the one thing that gives you some hope that we'll make a deal.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
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"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
99.79,
96.77,
100,
100
]
} |
580-neg | The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said. That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015. | Huawei's operating margins somehow plummeted six percentage points to 12% the first half of this year compared to the same period in 2015. | E | {
"context1": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.",
"context2": "",
"target_sentence": "That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'explains', 'embedded_question': \"why Huawei 's operating margins plummeted six percentage points to 12 % the first half of this year compared to the same period in 2015\"}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
580 | The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said. That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015. | Huawei's operating margins somehow plummeted six percentage points to 12% the first half of this year compared to the same period in 2015. | E | {
"context1": "The number of outlets selling Huawei globally increased by 116% to 35,000 stores as of May this year, the company said.",
"context2": "",
"target_sentence": "That explains why Huawei's operating margins plummeted six percentage points to 12% the first half of this year compared to the same period in 2015.",
"speaker_context1": "",
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"type": "original",
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"trigger_data": "{'predicate': 'explains', 'embedded_question': \"why Huawei 's operating margins plummeted six percentage points to 12 % the first half of this year compared to the same period in 2015\"}",
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"N",
"E",
"E",
"E",
"E"
],
"ratings": [
36.11,
100,
100,
100,
100
]
} |
584-neg | A simple enough proposition. The elderly understand it: Silber received a standing ovation from residents of a senior citizens' housing complex when he appeared there to speak not long after his remark. That his Democratic-establishment opponents cannot understand it doesn't explain why the state has been crippled in its efforts to control spending. | The state has been crippled in its efforts to control spending somehow. | E | {
"context1": "A simple enough proposition.",
"context2": "The elderly understand it: Silber received a standing ovation from residents of a senior citizens' housing complex when he appeared there to speak not long after his remark.",
"target_sentence": "That his Democratic-establishment opponents cannot understand it doesn't explain why the state has been crippled in its efforts to control spending.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "negated",
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"trigger_data": "{'predicate': 'explains', 'embedded_question': 'why the state has been crippled in its efforts to control spending'}",
"trigger_type": "embedded_question",
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"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.54,
100,
100,
100,
74.57
]
} |
584 | A simple enough proposition. The elderly understand it: Silber received a standing ovation from residents of a senior citizens' housing complex when he appeared there to speak not long after his remark. That his Democratic-establishment opponents cannot understand it explains why the state has been crippled in its efforts to control spending. | The state has been crippled in its efforts to control spending somehow. | E | {
"context1": "A simple enough proposition.",
"context2": "The elderly understand it: Silber received a standing ovation from residents of a senior citizens' housing complex when he appeared there to speak not long after his remark.",
"target_sentence": "That his Democratic-establishment opponents cannot understand it explains why the state has been crippled in its efforts to control spending.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"trigger_data": "{'predicate': 'explains', 'embedded_question': 'why the state has been crippled in its efforts to control spending'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
93.69,
100,
100,
94.68,
100
]
} |
585-neg | I didn't ask her what she'll do when she finds her. | She'll do soomething when she finds her. | N | {
"context1": "",
"context2": "",
"target_sentence": "I didn't ask her what she'll do when she finds her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'asked', 'embedded_question': \"what she 'll do when she finds her\"}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
74.57,
50.75,
19.52,
50.15,
100
]
} |
585 | I asked her what she'll do when she finds her. | She'll do soomething when she finds her. | N | {
"context1": "",
"context2": "",
"target_sentence": "I asked her what she'll do when she finds her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'asked', 'embedded_question': \"what she 'll do when she finds her\"}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"N",
"N",
"N",
"N",
"N"
],
"ratings": [
74.44,
80.72,
50.15,
15.6,
50.6
]
} |
586-neg | The stranger did. " My people have had this way of sharing memories for many thousand of your years. We acquired it from an even more ancient race, and fully understand how it does what it does. | It does what it does somehow. | E | {
"context1": "The stranger did.",
"context2": "\" My people have had this way of sharing memories for many thousand of your years.",
"target_sentence": "We acquired it from an even more ancient race, and fully understand how it does what it does.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how it does what it does'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"C",
"N",
"E"
],
"ratings": [
100,
99.25,
0,
83.43,
100
]
} |
586 | The stranger did. " My people have had this way of sharing memories for many thousand of your years. We acquired it from an even more ancient race, and do not fully understand how it does what it does. | It does what it does somehow. | E | {
"context1": "The stranger did.",
"context2": "\" My people have had this way of sharing memories for many thousand of your years.",
"target_sentence": "We acquired it from an even more ancient race, and do not fully understand how it does what it does.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how it does what it does'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
96.37,
95.14,
100,
66.17,
100
]
} |
588-neg | Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace. He didn't like it, his peek into her world; it scared the hell out of him. He knew how she did it. | She did it somehow. | E | {
"context1": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace.",
"context2": "He didn't like it, his peek into her world; it scared the hell out of him.",
"target_sentence": "He knew how she did it.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'how she did it'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.22,
100,
100
]
} |
588 | Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace. He didn't like it, his peek into her world; it scared the hell out of him. He didn't know how she did it. | She did it somehow. | E | {
"context1": "Sometimes she came right from the set, still flushed, stinking of sex, in shorts and a halter top, and she held his hand until his racing heart slowed to a regular pace.",
"context2": "He didn't like it, his peek into her world; it scared the hell out of him.",
"target_sentence": "He didn't know how she did it.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'predicate': 'know', 'embedded_question': 'how she did it'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.14,
100,
100,
100,
100
]
} |
590-neg | At the recent CNN / YouTube debate, Hillary Clinton wasn't asked to define what a liberal is and declare whether she was one. | A liberal is something. | E | {
"context1": "",
"context2": "",
"target_sentence": "At the recent CNN / YouTube debate, Hillary Clinton wasn't asked to define what a liberal is and declare whether she was one.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'define', 'embedded_question': 'what a liberal is'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
85.66,
100
]
} |
590 | At the recent CNN / YouTube debate, Hillary Clinton was asked to define what a liberal is and declare whether she was one. | A liberal is something. | E | {
"context1": "",
"context2": "",
"target_sentence": "At the recent CNN / YouTube debate, Hillary Clinton was asked to define what a liberal is and declare whether she was one.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'predicate': 'define', 'embedded_question': 'what a liberal is'}",
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"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.12,
100,
97.5,
100
]
} |
591-neg | It's what we're good at; we're not good at organizing millions of people. The Yes Men haven't realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago. | The godfather of the modem figured out something long ago. | E | {
"context1": "It's what we're good at; we're not good at organizing millions of people.",
"context2": "",
"target_sentence": "The Yes Men haven't realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "negated",
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"trigger_data": "{'predicate': 'realized', 'embedded_question': 'what Abbie Hoffman , the godfather of the modem political put - on , figured out long ago'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"C",
"E",
"E",
"E",
"E"
],
"ratings": [
1.76,
100,
95.21,
100,
99.91
]
} |
591 | It's what we're good at; we're not good at organizing millions of people. The Yes Men have realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago. | The godfather of the modem figured out something long ago. | E | {
"context1": "It's what we're good at; we're not good at organizing millions of people.",
"context2": "",
"target_sentence": "The Yes Men have realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"original_negated": false,
"trigger_data": "{'predicate': 'realized', 'embedded_question': 'what Abbie Hoffman , the godfather of the modem political put - on , figured out long ago'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
95.71,
99.02,
100,
94.81,
100
]
} |
592-neg | CALLER Hi, how are you? You didn't ask earlier why this young womans death was nt covered. | This young womans death wasn't covered for some reason. | E | {
"context1": "CALLER",
"context2": "Hi, how are you?",
"target_sentence": "You didn't ask earlier why this young womans death was nt covered.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'asked', 'embedded_question': 'why this young womans death was nt covered'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.77,
100,
98.62
]
} |
592 | CALLER Hi, how are you? You asked earlier why this young womans death was nt covered. | This young womans death wasn't covered for some reason. | E | {
"context1": "CALLER",
"context2": "Hi, how are you?",
"target_sentence": "You asked earlier why this young womans death was nt covered.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'asked', 'embedded_question': 'why this young womans death was nt covered'}",
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"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.99,
100,
100,
98.62,
100
]
} |
596-neg | My mother joined him. We knew what was in it, they protested; it was just a favor for a friend. | Something was in it. | E | {
"context1": "",
"context2": "My mother joined him.",
"target_sentence": "We knew what was in it, they protested; it was just a favor for a friend.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what was in it'}",
"trigger_type": "embedded_question",
"annotator": "SL",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
97.3,
100,
100,
100
]
} |
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