uid
stringlengths 1
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| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
|---|---|---|---|---|
1488-neg | The radio announcer said that clearing up the problem was likely to take all day. Proceeding at a crawl, Lynn did not manage to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott. | Steering the car up towards Seventh Avenue would take effort for Lynn. | E | {
"context1": "",
"context2": "The radio announcer said that clearing up the problem was likely to take all day.",
"target_sentence": "Proceeding at a crawl, Lynn did not manage to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
94.19,
100,
88.04,
96.88,
100
]
} |
1488 | The radio announcer said that clearing up the problem was likely to take all day. Proceeding at a crawl, Lynn managed to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott. | Steering the car up towards Seventh Avenue would take effort for Lynn. | E | {
"context1": "",
"context2": "The radio announcer said that clearing up the problem was likely to take all day.",
"target_sentence": "Proceeding at a crawl, Lynn managed to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
98.81,
79.66,
99.49,
98.65,
83.43
]
} |
149-neg | She had never enrolled at the middle school. The search was practicaUy over. They hadn't stopped running her picture on TV, but most of the missing signs around the neighborhood were gone. | They had been running her picture on TV before. | E | {
"context1": "She had never enrolled at the middle school.",
"context2": "The search was practicaUy over.",
"target_sentence": "They hadn't stopped running her picture on TV, but most of the missing signs around the neighborhood were gone.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.54,
97.45,
99.96,
100
]
} |
149 | She had never enrolled at the middle school. The search was practicaUy over. They had stopped running her picture on TV, and most of the missing signs around the neighborhood were gone. | They had been running her picture on TV before. | E | {
"context1": "She had never enrolled at the middle school.",
"context2": "The search was practicaUy over.",
"target_sentence": "They had stopped running her picture on TV, and most of the missing signs around the neighborhood were gone.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
93.17,
100,
100,
100,
100
]
} |
1490-neg | All these details result in the three scenes being naturally paralleled to each other. The parallelism itself does not manage to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle. | Binding the novel's exposition with its denouement would take effort. | N | {
"context1": "All these details result in",
"context2": "the three scenes being naturally paralleled to each other.",
"target_sentence": "The parallelism itself does not manage to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"N",
"N"
],
"ratings": [
60.27,
100,
81.75,
72.74,
52.7
]
} |
1490 | All these details result in the three scenes being naturally paralleled to each other. The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle. | Binding the novel's exposition with its denouement would take effort. | N | {
"context1": "All these details result in",
"context2": "the three scenes being naturally paralleled to each other.",
"target_sentence": "The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
94.26,
64.9,
5.06,
59.98,
24.53
]
} |
1492-neg | She'd had short stories published in Scribner's Magazine. She had had poems published. But she had dared to allow herself to think of herself as a professional writer. | Thinking of herself as a professional writer would take courage. | E | {
"context1": "She'd had short stories published in Scribner's Magazine.",
"context2": "She had had poems published.",
"target_sentence": "But she had dared to allow herself to think of herself as a professional writer.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
81.64,
95.4,
100,
97.3,
97.35
]
} |
1492 | She'd had short stories published in Scribner's Magazine. She had had poems published. But she had never dared to allow herself to think of herself as a professional writer. | Thinking of herself as a professional writer would take courage. | E | {
"context1": "She'd had short stories published in Scribner's Magazine.",
"context2": "She had had poems published.",
"target_sentence": "But she had never dared to allow herself to think of herself as a professional writer.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.57,
100,
87.56,
100,
88.33
]
} |
1494 | M, " Lotto said. " It's Christmas. She probably left yesterday for some relative's place, forgot to tell us. | She was supposed to tell us that she was going. | E | {
"context1": "M, \" Lotto said.",
"context2": "\" It's Christmas.",
"target_sentence": "She probably left yesterday for some relative's place, forgot to tell us.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.49,
100,
100,
97.14,
65.32
]
} |
1495-neg | His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment. Those letters that were able to move the stars, as she called them, did not fail to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert. | The letters attempted the effort to sprout wings. | E | {
"context1": "",
"context2": "His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment.",
"target_sentence": "Those letters that were able to move the stars, as she called them, did not fail to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"C",
"E",
"C",
"E"
],
"ratings": [
100,
0,
87.37,
1.08,
100
]
} |
1495 | His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment. Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert. | The letters attempted the effort to sprout wings. | N | {
"context1": "",
"context2": "His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment.",
"target_sentence": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"N",
"N"
],
"ratings": [
90.24,
50.3,
91.35,
19.4,
50
]
} |
1496-neg | It wouldn't stop barking. " The man laid the paper beside him on the black metal slats of the bench. Though breathing with difficulty, he did not manage to cough out a few words. | Coughing out a few words would take effort for him. | E | {
"context1": "It wouldn't stop barking. \"",
"context2": "The man laid the paper beside him on the black metal slats of the bench.",
"target_sentence": "Though breathing with difficulty, he did not manage to cough out a few words.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.19,
97.88,
89.89,
92.01,
100
]
} |
1496 | It wouldn't stop barking. " The man laid the paper beside him on the black metal slats of the bench. Though breathing with difficulty, he managed to cough out a few words. | Coughing out a few words would take effort for him. | E | {
"context1": "It wouldn't stop barking. \"",
"context2": "The man laid the paper beside him on the black metal slats of the bench.",
"target_sentence": "Though breathing with difficulty, he managed to cough out a few words.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
96.49,
100,
100,
95.21,
100
]
} |
1497-neg | Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves. One cold, blustery day, he rode farther than usual, searching high near the tree line. Tad bothered to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder. | Looking up would require a small effort for Tad. | N | {
"context1": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves.",
"context2": "One cold, blustery day, he rode farther than usual, searching high near the tree line.",
"target_sentence": "Tad bothered to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"N",
"N"
],
"ratings": [
69.78,
54.34,
99.43,
2.4,
58.5
]
} |
1497 | Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves. One cold, blustery day, he rode farther than usual, searching high near the tree line. Tad didn't bother to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder. | Looking up would require a small effort for Tad. | N | {
"context1": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves.",
"context2": "One cold, blustery day, he rode farther than usual, searching high near the tree line.",
"target_sentence": "Tad didn't bother to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
65.46,
90.76,
81.18,
70.87,
100
]
} |
1499-neg | June 10, 2016 Beth Nakamura / StaffBeth Nakamura * * All school year, Anderson did not avoid walking down Snyder Hall's southern breezeway while heading to class. | It was expected that Anderson would walk down Snyder Hall's southern breezeway while heading to class. | N | {
"context1": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura",
"context2": "* *",
"target_sentence": "All school year, Anderson did not avoid walking down Snyder Hall's southern breezeway while heading to class.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"N",
"N"
],
"ratings": [
81.06,
100,
93.25,
92.09,
36.82
]
} |
1499 | June 10, 2016 Beth Nakamura / StaffBeth Nakamura * * All school year, Anderson avoided walking down Snyder Hall's southern breezeway while heading to class. | It was expected that Anderson would walk down Snyder Hall's southern breezeway while heading to class. | N | {
"context1": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura",
"context2": "* *",
"target_sentence": "All school year, Anderson avoided walking down Snyder Hall's southern breezeway while heading to class.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"C",
"E",
"N"
],
"ratings": [
28.86,
23.14,
0.94,
100,
36.39
]
} |
15-neg | Yet Tuesday's revelation shocked the Golden State. It also raises questions about what the future will hold for Schwarzenegger, 63. While he indicated that he does not plan to run for office anytime soon, he has entirely left politics. | He was in politics before. | E | {
"context1": "Yet Tuesday's revelation shocked the Golden State.",
"context2": "It also raises questions about what the future will hold for Schwarzenegger, 63.",
"target_sentence": "While he indicated that he does not plan to run for office anytime soon, he has entirely left politics.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
73.92,
100,
98.88,
99.16
]
} |
15 | Yet Tuesday's revelation shocked the Golden State. It also raises questions about what the future will hold for Schwarzenegger, 63. While he indicated that he does not plan to run for office anytime soon, he has not entirely left politics. | He was in politics before. | E | {
"context1": "Yet Tuesday's revelation shocked the Golden State.",
"context2": "It also raises questions about what the future will hold for Schwarzenegger, 63.",
"target_sentence": "While he indicated that he does not plan to run for office anytime soon, he has not entirely left politics.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.75,
26.47,
100,
100,
100
]
} |
150-neg | In the caf the six pay their bill and prepare to leave. Someone washes his hands, others don't endlessly keep putting things on while somebody helps someone else put something on. | others were putting things on earlier. | E | {
"context1": "",
"context2": "In the caf the six pay their bill and prepare to leave.",
"target_sentence": "Someone washes his hands, others don't endlessly keep putting things on while somebody helps someone else put something on.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
100,
98.99,
98.37,
66.31,
34.25
]
} |
150 | In the caf the six pay their bill and prepare to leave. Someone washes his hands, others endlessly keep putting things on while somebody helps someone else put something on. | others were putting things on earlier. | N | {
"context1": "",
"context2": "In the caf the six pay their bill and prepare to leave.",
"target_sentence": "Someone washes his hands, others endlessly keep putting things on while somebody helps someone else put something on.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
61.29,
100,
42.98,
100,
91.27
]
} |
1500-neg | It doesn't matter. I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year And they have not managed to win every game. | Winning every game would take effort for them. | E | {
"context1": "It doesn't matter.",
"context2": "I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year",
"target_sentence": "And they have not managed to win every game.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
2.86,
95.21,
100,
100
]
} |
1500 | It doesn't matter. I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year And they've managed to win every game. | Winning every game would take effort for them. | N | {
"context1": "It doesn't matter.",
"context2": "I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year",
"target_sentence": "And they've managed to win every game.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"N",
"E"
],
"ratings": [
23.65,
27.66,
100,
27.39,
100
]
} |
1502-neg | GeoVax is a publicly owned company and an Emory University spinoff. Merck's vaccine did not fail to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus. | Merck's vaccine attempted to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus. | E | {
"context1": "GeoVax is a publicly owned company and an Emory University spinoff.",
"context2": "",
"target_sentence": "Merck's vaccine did not fail to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.16,
84.93,
100,
100,
100
]
} |
1502 | GeoVax is a publicly owned company and an Emory University spinoff. Merck's vaccine failed to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus. | Merck's vaccine attempted to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus. | E | {
"context1": "GeoVax is a publicly owned company and an Emory University spinoff.",
"context2": "",
"target_sentence": "Merck's vaccine failed to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.66,
100,
100,
100,
69.1
]
} |
1503-neg | After a brief pause the Constructor replied, " In a way, I am here to protect you. I take it that yours is a civilization not so thoroughly military as that of the Flight Captain. We had to encapsulate his simulation before we put him into storage, and even then he did not manage to break through the capsule and to harm us. | Breaking through the capsule would take effort for him. | N | {
"context1": "After a brief pause the Constructor replied, \" In a way, I am here to protect you.",
"context2": "I take it that yours is a civilization not so thoroughly military as that of the Flight Captain.",
"target_sentence": "We had to encapsulate his simulation before we put him into storage, and even then he did not manage to break through the capsule and to harm us.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"E",
"N"
],
"ratings": [
95.33,
90.76,
68.41,
96.37,
73.14
]
} |
1503 | After a brief pause the Constructor replied, " In a way, I am here to protect you. I take it that yours is a civilization not so thoroughly military as that of the Flight Captain. We had to encapsulate his simulation before we put him into storage, and even then he managed to break through the capsule and to harm us. | Breaking through the capsule would take effort for him. | N | {
"context1": "After a brief pause the Constructor replied, \" In a way, I am here to protect you.",
"context2": "I take it that yours is a civilization not so thoroughly military as that of the Flight Captain.",
"target_sentence": "We had to encapsulate his simulation before we put him into storage, and even then he managed to break through the capsule and to harm us.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
100,
20.22,
34.25,
95.53,
89.89
]
} |
1505-neg | Lincoln, Nebraska. Despite more than a quarter-million residents, Lincoln does not manage to maintain its hometown feel. | Maintaining its hometown feel would take effort for Lincoln. | E | {
"context1": "",
"context2": "Lincoln, Nebraska.",
"target_sentence": "Despite more than a quarter-million residents, Lincoln does not manage to maintain its hometown feel.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
92.72,
94.4,
84.18,
75.6,
100
]
} |
1505 | Lincoln, Nebraska. Despite more than a quarter-million residents, Lincoln manages to maintain its hometown feel. | Maintaining its hometown feel would take effort for Lincoln. | N | {
"context1": "",
"context2": "Lincoln, Nebraska.",
"target_sentence": "Despite more than a quarter-million residents, Lincoln manages to maintain its hometown feel.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
99.34,
47.75,
91.68,
59.24,
19.17
]
} |
1506-neg | Lidia Bastianich The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she did not always manage to cook for them. | Cooking for them took effort. | E | {
"context1": "Lidia Bastianich",
"context2": "The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP",
"target_sentence": "Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she did not always manage to cook for them.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
90.76,
95.9,
90.5,
94.05,
84.61
]
} |
1506 | Lidia Bastianich The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she always managed to cook for them. | Cooking for them took effort. | E | {
"context1": "Lidia Bastianich",
"context2": "The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP",
"target_sentence": "Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she always managed to cook for them.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"C",
"E",
"N"
],
"ratings": [
97.6,
100,
0.84,
100,
74.18
]
} |
1507-neg | "No." "Then why are you chasing me?" Somehow Harris does not manage to laugh. | Laughing would take effort for Harris. | E | {
"context1": "\"No.\"",
"context2": "\"Then why are you chasing me?\"",
"target_sentence": "Somehow Harris does not manage to laugh.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
5.95,
96.02,
52.25,
95.59,
100
]
} |
1507 | "No." "Then why are you chasing me?" Somehow Harris manages to laugh. | Laughing would take effort for Harris. | E | {
"context1": "\"No.\"",
"context2": "\"Then why are you chasing me?\"",
"target_sentence": "Somehow Harris manages to laugh.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"N",
"E"
],
"ratings": [
92.79,
67.85,
96.25,
51.05,
100
]
} |
1509-neg | Through a Merrill spokesman, Tully did not decline to be interviewed. | Tully was asked to be interviewed. | E | {
"context1": "",
"context2": "",
"target_sentence": "Through a Merrill spokesman, Tully did not decline to be interviewed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.25,
89.71,
94.68,
100,
80.95
]
} |
1509 | Through a Merrill spokesman, Tully declined to be interviewed. | Tully was asked to be interviewed. | E | {
"context1": "",
"context2": "",
"target_sentence": "Through a Merrill spokesman, Tully declined to be interviewed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.75,
99.16,
100
]
} |
151-neg | Giving me a thumbs-up. And then all of the sudden Hugh didn't start coughing in an embarrassing manner. | Hugh wasn't coughing in an embarrassing manner earlier. | E | {
"context1": "",
"context2": "Giving me a thumbs-up.",
"target_sentence": "And then all of the sudden Hugh didn't start coughing in an embarrassing manner.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
97.3,
15.92,
49.7,
99.43,
99.25
]
} |
1510-neg | Oops! I did not forget to say that when you begin, you each have thirty-six marbles. | I was supposed to say that when you begin, you each have thirty-six marbles. | E | {
"context1": "",
"context2": "Oops!",
"target_sentence": "I did not forget to say that when you begin, you each have thirty-six marbles.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
81.41,
100,
22.77,
100,
99.06
]
} |
1510 | Oops! I forgot to say that when you begin, you each have thirty-six marbles. | I was supposed to say that when you begin, you each have thirty-six marbles. | E | {
"context1": "",
"context2": "Oops!",
"target_sentence": "I forgot to say that when you begin, you each have thirty-six marbles.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
97.04,
99.12,
100
]
} |
1511-neg | "It amuses me." Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley. Her attention was distracted from this question, for, in examining the Prince's coat, she did not happen to spy the glamural beyond him. | It was unexpected that she would spy the glamural beyond the Prince. | N | {
"context1": "\"It amuses me.\"",
"context2": "Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley.",
"target_sentence": "Her attention was distracted from this question, for, in examining the Prince's coat, she did not happen to spy the glamural beyond him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"C",
"E",
"N"
],
"ratings": [
22.77,
44.61,
0,
100,
26.86
]
} |
1511 | "It amuses me." Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley. Her attention was distracted from this question, for, in examining the Prince's coat, she happened to spy the glamural beyond him. | It was unexpected that she would spy the glamural beyond the Prince. | N | {
"context1": "\"It amuses me.\"",
"context2": "Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley.",
"target_sentence": "Her attention was distracted from this question, for, in examining the Prince's coat, she happened to spy the glamural beyond him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"C",
"N",
"N",
"N"
],
"ratings": [
71.81,
0.13,
42.53,
78.09,
25.04
]
} |
1513-neg | The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick. FIELD TEST: I did not forget to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling. | I was supposed to to use it on several runs. | E | {
"context1": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick.",
"context2": "FIELD TEST:",
"target_sentence": "I did not forget to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
84.18,
100,
100,
72.61,
100
]
} |
1513 | The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick. FIELD TEST: I forgot to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling. | I was supposed to to use it on several runs. | N | {
"context1": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick.",
"context2": "FIELD TEST:",
"target_sentence": "I forgot to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
77.48,
97.55,
100,
90.67,
91.35
]
} |
1514-neg | I was amused at criminal defense attorney Phil Cherner's letter (" Death penalty is morally bankrupt ") attacking capital punishment. Liberal extremists such as Phil do not fail to acknowledge that reasonable and moral people can disagree about the death penalty. | Liberal extremists such as Phil attempt to acknowledge that reasonable and moral people can disagree about the death penalty. | E | {
"context1": "",
"context2": "I was amused at criminal defense attorney Phil Cherner's letter (\" Death penalty is morally bankrupt \") attacking capital punishment.",
"target_sentence": "Liberal extremists such as Phil do not fail to acknowledge that reasonable and moral people can disagree about the death penalty.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
82.32,
100,
100,
100,
100
]
} |
1516-neg | In the Noels' case, the foundation contacted Kmart. Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined. Kmart did not decline to comment. | Kmart was asked to comment. | E | {
"context1": "In the Noels' case, the foundation contacted Kmart.",
"context2": "Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined.",
"target_sentence": "Kmart did not decline to comment.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.06,
100,
100,
100,
100
]
} |
1516 | In the Noels' case, the foundation contacted Kmart. Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined. Kmart declined to comment. | Kmart was asked to comment. | E | {
"context1": "In the Noels' case, the foundation contacted Kmart.",
"context2": "Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined.",
"target_sentence": "Kmart declined to comment.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.09,
100,
96.14,
97.4,
100
]
} |
1519-neg | Or she had, until she heard the sound of someone fumbling with a doorknob. Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall. She did not manage to keep the table upright, but her right knee collided with one of the table legs. | Keeping the table upright would take effort. | E | {
"context1": "Or she had, until she heard the sound of someone fumbling with a doorknob.",
"context2": "Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall.",
"target_sentence": "She did not manage to keep the table upright, but her right knee collided with one of the table legs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"C",
"E"
],
"ratings": [
99.43,
87.75,
90.76,
0.57,
100
]
} |
1519 | Or she had, until she heard the sound of someone fumbling with a doorknob. Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall. She managed to keep the table upright, but her right knee collided with one of the table legs. | Keeping the table upright would take effort. | E | {
"context1": "Or she had, until she heard the sound of someone fumbling with a doorknob.",
"context2": "Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall.",
"target_sentence": "She managed to keep the table upright, but her right knee collided with one of the table legs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
98.54,
100,
99.75,
89.62,
100
]
} |
1522-neg | " You see how your mind works? I fear you have a grievous fault, Lion. Somehow you have not managed to acquire the instincts of a bygone age. | Acquiring the instincts of a bygone age would take effort. | E | {
"context1": "\" You see how your mind works?",
"context2": "I fear you have a grievous fault, Lion.",
"target_sentence": "Somehow you have not managed to acquire the instincts of a bygone age.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
64.75,
99.43,
83.1,
88.42,
98.54
]
} |
1522 | " You see how your mind works? I fear you have a grievous fault, Lion. Somehow you've managed to acquire the instincts of a bygone age. | Acquiring the instincts of a bygone age would take effort. | N | {
"context1": "\" You see how your mind works?",
"context2": "I fear you have a grievous fault, Lion.",
"target_sentence": "Somehow you've managed to acquire the instincts of a bygone age.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
63.32,
97.3,
51.5,
95.27,
78.09
]
} |
1524-neg | We did not fail to resurrect our girls with tender thoughts and prayers. | We attempted to resurrect our girls with tender thoughts and prayers. | E | {
"context1": "",
"context2": "",
"target_sentence": "We did not fail to resurrect our girls with tender thoughts and prayers.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
90.24,
99.9,
93.84
]
} |
1524 | We failed to resurrect our girls with tender thoughts and prayers. | We attempted to resurrect our girls with tender thoughts and prayers. | E | {
"context1": "",
"context2": "",
"target_sentence": "We failed to resurrect our girls with tender thoughts and prayers.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.83,
100,
100,
97.98
]
} |
1525-neg | 50 Regardless of the accuracy of the historical description and the quality of the theoretical model, Homer-Dixon's case studies do not fail to provide an empirical basis for comparison. | Homer-Dixon's case studies attempt to provide an empirical basis for comparison. | E | {
"context1": "",
"context2": "50",
"target_sentence": "Regardless of the accuracy of the historical description and the quality of the theoretical model, Homer-Dixon's case studies do not fail to provide an empirical basis for comparison.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.2,
92.17,
100,
100,
99.28
]
} |
1526-neg | Mr-MEDAVOY: "Amadeus" came out of Orion. We had four Academy Award-winning movies in that period: "Platoon "," Amadeus ", "Dances With Wolves" and " Silence of the Lambs. Not all four movies mentioned above are really good movies. | There are four movies mentioned above. | E | {
"context1": "Mr-MEDAVOY: \"Amadeus\" came out of Orion.",
"context2": "We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs.",
"target_sentence": "Not all four movies mentioned above are really good movies.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'All'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1526 | Mr-MEDAVOY: "Amadeus" came out of Orion. We had four Academy Award-winning movies in that period: "Platoon "," Amadeus ", "Dances With Wolves" and " Silence of the Lambs. All four movies mentioned above are really good movies. | There are four movies mentioned above. | E | {
"context1": "Mr-MEDAVOY: \"Amadeus\" came out of Orion.",
"context2": "We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs.",
"target_sentence": "All four movies mentioned above are really good movies.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'All'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.71
]
} |
1527-neg | A spray of blood filled the air and the boy shrieked. Venera peered through the blue cloud of gunsmoke. Chaison's would-be assassin was twitching in the air, and both noblemen in the room were not staring past him, at her. | There were two noblemen in the room | E | {
"context1": "A spray of blood filled the air and the boy shrieked.",
"context2": "Venera peered through the blue cloud of gunsmoke.",
"target_sentence": "Chaison's would-be assassin was twitching in the air, and both noblemen in the room were not staring past him, at her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.62,
100,
100,
100,
90.5
]
} |
1527 | A spray of blood filled the air and the boy shrieked. Venera peered through the blue cloud of gunsmoke. Chaison's would-be assassin was twitching in the air, and both noblemen in the room were staring past him, at her. | There were two noblemen in the room | E | {
"context1": "A spray of blood filled the air and the boy shrieked.",
"context2": "Venera peered through the blue cloud of gunsmoke.",
"target_sentence": "Chaison's would-be assassin was twitching in the air, and both noblemen in the room were staring past him, at her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.83,
98.37,
100,
98.2
]
} |
1528-neg | Speaker B: Why not?
Speaker A: There were, of course, plenty of reasons why not. Both candidates in the race have not had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates. | There are two candidates in the race. | E | {
"context1": "Why not?",
"context2": "There were, of course, plenty of reasons why not.",
"target_sentence": "Both candidates in the race have not had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.",
"speaker_context1": "RICK-WARREN-@1PAST",
"speaker_context2": "CYNTHIA-MCFADDEN-@",
"speaker_target": "CYNTHIA-MCFADDEN-@",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.85,
100,
100,
100
]
} |
1528 | Speaker B: Why not?
Speaker A: There were, of course, plenty of reasons why not. Both candidates in the race have had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates. | There are two candidates in the race. | E | {
"context1": "Why not?",
"context2": "There were, of course, plenty of reasons why not.",
"target_sentence": "Both candidates in the race have had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.",
"speaker_context1": "RICK-WARREN-@1PAST",
"speaker_context2": "CYNTHIA-MCFADDEN-@",
"speaker_target": "CYNTHIA-MCFADDEN-@",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.37,
100,
88.42,
100
]
} |
1530-neg | Also ask whether the accreditation is regional or national. Both types of accreditation offered are not recognized by the federal government, but regional accreditation carries more weight with many employers. | There are two types of accreditation offered. | E | {
"context1": "",
"context2": "Also ask whether the accreditation is regional or national.",
"target_sentence": "Both types of accreditation offered are not recognized by the federal government, but regional accreditation carries more weight with many employers.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
90.24,
100
]
} |
1530 | Also ask whether the accreditation is regional or national. Both types of accreditation offered are recognized by the federal government, but regional accreditation carries more weight with many employers. | There are two types of accreditation offered. | E | {
"context1": "",
"context2": "Also ask whether the accreditation is regional or national.",
"target_sentence": "Both types of accreditation offered are recognized by the federal government, but regional accreditation carries more weight with many employers.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
93.76,
100,
100,
100
]
} |
1531-neg | They carried him unconscious across the tent. The doctor didn't glare at both of the people carrying the unconscious man. | There were two people carrying the unconscious man. | E | {
"context1": "They carried him unconscious across the tent.",
"context2": "",
"target_sentence": "The doctor didn't glare at both of the people carrying the unconscious man.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.94
]
} |
1531 | They carried him unconscious across the tent. The doctor glared at both of the people carrying the unconscious man. | There were two people carrying the unconscious man. | E | {
"context1": "They carried him unconscious across the tent.",
"context2": "",
"target_sentence": "The doctor glared at both of the people carrying the unconscious man.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
50.9,
100,
99.49,
97.45,
100
]
} |
1534-neg | Do it with your hands, " she urged. Marion was smiling. Both of us were not idiots. | There were two of us. | E | {
"context1": "Do it with your hands, \" she urged.",
"context2": "Marion was smiling.",
"target_sentence": "Both of us were not idiots.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
96.31,
96.31,
71.41,
100,
100
]
} |
1534 | Do it with your hands, " she urged. Marion was smiling. Both of us were, like idiots. | There were two of us. | E | {
"context1": "Do it with your hands, \" she urged.",
"context2": "Marion was smiling.",
"target_sentence": "Both of us were, like idiots.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
97.5,
98.41,
100
]
} |
1536-neg | It was hardly their fault. I have doubt that all three of the people we have been discussing are good professional broadcasters. | We have been discussing three people. | E | {
"context1": "",
"context2": "It was hardly their fault.",
"target_sentence": "I have doubt that all three of the people we have been discussing are good professional broadcasters.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'all'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.93,
100,
100,
100,
100
]
} |
1536 | It was hardly their fault. I have no doubt that all three of the people we have been discussing are good professional broadcasters. | We have been discussing three people. | E | {
"context1": "",
"context2": "It was hardly their fault.",
"target_sentence": "I have no doubt that all three of the people we have been discussing are good professional broadcasters.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'all'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.77,
100,
99.85
]
} |
154-neg | Speaker B: But a war criminal cannot receive honors and money from our college.
Speaker A: I appreciate it, Carmelo. I wouldn't like to see who makes that list. | Someone will make that list. | N | {
"context1": "But a war criminal cannot receive honors and money from our college.",
"context2": "I appreciate it, Carmelo.",
"target_sentence": "I wouldn't like to see who makes that list.",
"speaker_context1": "CINTRON",
"speaker_context2": "INGRAHAM",
"speaker_target": "INGRAHAM",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'who makes that list'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"N",
"E",
"E"
],
"ratings": [
50.45,
63.03,
86.67,
100,
89.89
]
} |
154 | Speaker B: But a war criminal cannot receive honors and money from our college.
Speaker A: I appreciate it, Carmelo. I'd like to see who makes that list. | Someone will make that list. | N | {
"context1": "But a war criminal cannot receive honors and money from our college.",
"context2": "I appreciate it, Carmelo.",
"target_sentence": "I'd like to see who makes that list.",
"speaker_context1": "CINTRON",
"speaker_context2": "INGRAHAM",
"speaker_target": "INGRAHAM",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'who makes that list'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
80.83,
99.71,
100,
49.55,
36.82
]
} |
1542-neg | Yet we survived. Pop lived to be 88, Mom to 82. Both aunts on my mom's side didn't make it well past 80, and I was 77 on my last birthday. | I had two aunts on my mom's side. | E | {
"context1": "Yet we survived.",
"context2": "Pop lived to be 88, Mom to 82.",
"target_sentence": "Both aunts on my mom's side didn't make it well past 80, and I was 77 on my last birthday.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1542 | Yet we survived. Pop lived to be 88, Mom to 82. Both aunts on my mom's side made it well past 80, and I was 77 on my last birthday. | I had two aunts on my mom's side. | E | {
"context1": "Yet we survived.",
"context2": "Pop lived to be 88, Mom to 82.",
"target_sentence": "Both aunts on my mom's side made it well past 80, and I was 77 on my last birthday.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.98,
98.81,
99.66,
100,
100
]
} |
1546-neg | Speaker A: This is the sixteenth day of the pre-- of the partial government shutdown. It is also the last day for Congress to act before hitting the federal debt ceiling at midnight. Officials from both parties in Congress did not spend all night working on a compromise to reopen the government and raise the debt limit. | There are two parties in Congress. | E | {
"context1": "This is the sixteenth day of the pre-- of the partial government shutdown.",
"context2": "It is also the last day for Congress to act before hitting the federal debt ceiling at midnight.",
"target_sentence": "Officials from both parties in Congress did not spend all night working on a compromise to reopen the government and raise the debt limit.",
"speaker_context1": "CHARLIE-ROSE",
"speaker_context2": "CHARLIE-ROSE",
"speaker_target": "CHARLIE-ROSE",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
95.21,
100
]
} |
1546 | Speaker A: This is the sixteenth day of the pre-- of the partial government shutdown. It is also the last day for Congress to act before hitting the federal debt ceiling at midnight. Officials from both parties in Congress spent all night working on a compromise to reopen the government and raise the debt limit. | There are two parties in Congress. | E | {
"context1": "This is the sixteenth day of the pre-- of the partial government shutdown.",
"context2": "It is also the last day for Congress to act before hitting the federal debt ceiling at midnight.",
"target_sentence": "Officials from both parties in Congress spent all night working on a compromise to reopen the government and raise the debt limit.",
"speaker_context1": "CHARLIE-ROSE",
"speaker_context2": "CHARLIE-ROSE",
"speaker_target": "CHARLIE-ROSE",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
95.14,
100,
99.64,
100
]
} |
155-neg | I knew only his absence. Several months ago I went back to Mississippi in search of my father. I knew what I would find after all this time, only that I needed to go. | I would find something | N | {
"context1": "I knew only his absence.",
"context2": "Several months ago I went back to Mississippi in search of my father.",
"target_sentence": "I knew what I would find after all this time, only that I needed to go.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what I would find after all this time'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"N",
"N",
"N"
],
"ratings": [
85.45,
100,
83.86,
78.09,
85.35
]
} |
155 | I knew only his absence. Several months ago I went back to Mississippi in search of my father. I didn't know what I would find after all this time, only that I needed to go. | I would find something | N | {
"context1": "I knew only his absence.",
"context2": "Several months ago I went back to Mississippi in search of my father.",
"target_sentence": "I didn't know what I would find after all this time, only that I needed to go.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what I would find after all this time'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"N",
"N",
"E"
],
"ratings": [
64.75,
100,
51.65,
50,
100
]
} |
1550-neg | GREG VALLIERE: Well, I think this sort of looks like NAFTA and GATT did at the early stages. Both of the major trade agreements that were passed in recent years didn't look like they might not make it, and with extraordinary arm twisting and lobbying, we got both. | There were two major trade agreements passed in recent years. | E | {
"context1": "GREG VALLIERE:",
"context2": "Well, I think this sort of looks like NAFTA and GATT did at the early stages.",
"target_sentence": "Both of the major trade agreements that were passed in recent years didn't look like they might not make it, and with extraordinary arm twisting and lobbying, we got both.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1550 | GREG VALLIERE: Well, I think this sort of looks like NAFTA and GATT did at the early stages. Both of the major trade agreements that were passed in recent years looked like they might not make it, and with extraordinary arm twisting and lobbying, we got both. | There were two major trade agreements passed in recent years. | E | {
"context1": "GREG VALLIERE:",
"context2": "Well, I think this sort of looks like NAFTA and GATT did at the early stages.",
"target_sentence": "Both of the major trade agreements that were passed in recent years looked like they might not make it, and with extraordinary arm twisting and lobbying, we got both.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.25,
100
]
} |
1554-neg | Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: " The Big Three, " " The Triple Threat. All three of UCLA's starting guards didn't make first team all-conference. | UCLA has three starting guards. | E | {
"context1": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \"",
"context2": "The Big Three, \" \" The Triple Threat.",
"target_sentence": "All three of UCLA's starting guards didn't make first team all-conference.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'All'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.22,
100
]
} |
1554 | Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: " The Big Three, " " The Triple Threat. All three of UCLA's starting guards made first team all-conference. | UCLA has three starting guards. | E | {
"context1": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \"",
"context2": "The Big Three, \" \" The Triple Threat.",
"target_sentence": "All three of UCLA's starting guards made first team all-conference.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'All'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.75,
93.91,
100,
100,
100
]
} |
1556-neg | After her brief response, he turns away, though line 34 indicates she has not said all she needs to say. The Troubles Delwar Divined Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts. Both sets of tapes I revisited do not reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery. | There are two sets of tapes I revisited. | E | {
"context1": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say.",
"context2": "The Troubles Delwar Divined Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts.",
"target_sentence": "Both sets of tapes I revisited do not reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.37,
97.09,
100,
100,
98.29
]
} |
1556 | After her brief response, he turns away, though line 34 indicates she has not said all she needs to say. The Troubles Delwar Divined Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts. Both sets of tapes I revisited reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery. | There are two sets of tapes I revisited. | E | {
"context1": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say.",
"context2": "The Troubles Delwar Divined Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts.",
"target_sentence": "Both sets of tapes I revisited reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.37,
100,
100,
100,
99.37
]
} |
1557-neg | Usually, female crabs comprise 70-80 percent of the catch. Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm. Wholesalers do not buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988). | There are two sexes of crabs. | E | {
"context1": "Usually, female crabs comprise 70-80 percent of the catch.",
"context2": "Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm.",
"target_sentence": "Wholesalers do not buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1557 | Usually, female crabs comprise 70-80 percent of the catch. Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm. Wholesalers buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988). | There are two sexes of crabs. | E | {
"context1": "Usually, female crabs comprise 70-80 percent of the catch.",
"context2": "Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm.",
"target_sentence": "Wholesalers buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.02,
99.37,
100,
100,
100
]
} |
1558-neg | The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard. Two large bore IV lines were not started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open. | There were two antecubital spaces on the patient's body. | E | {
"context1": "",
"context2": "The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard.",
"target_sentence": "Two large bore IV lines were not started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"C",
"E",
"E"
],
"ratings": [
100,
100,
1.08,
99.46,
100
]
} |
1558 | The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard. Two large bore IV lines were started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open. | There were two antecubital spaces on the patient's body. | E | {
"context1": "",
"context2": "The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard.",
"target_sentence": "Two large bore IV lines were started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.06,
97.25,
100,
100,
100
]
} |
1559-neg | MARGARET-WARNER: All right. Now staying with you, Bob Zoellick, for a moment, both sides of the debate have not been talking about this charter. | There are two sides of the debate. | E | {
"context1": "MARGARET-WARNER:",
"context2": "All right.",
"target_sentence": "Now staying with you, Bob Zoellick, for a moment, both sides of the debate have not been talking about this charter.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
98.69,
100,
98.5
]
} |
1559 | MARGARET-WARNER: All right. Now staying with you, Bob Zoellick, for a moment, both sides of the debate have been talking about this charter. | There are two sides of the debate. | E | {
"context1": "MARGARET-WARNER:",
"context2": "All right.",
"target_sentence": "Now staying with you, Bob Zoellick, for a moment, both sides of the debate have been talking about this charter.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
55.39,
100
]
} |
1560-neg | YOUR MOM WAS PRO-LIFE? Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, "To force any woman to bear a child against her will is slavery." In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are not among the most zealous warriors on both sides of hte battle. | There are two sides of the battle. | E | {
"context1": "YOUR MOM WAS PRO-LIFE?",
"context2": "Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\"",
"target_sentence": "In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are not among the most zealous warriors on both sides of hte battle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.37,
100,
100,
100
]
} |
1560 | YOUR MOM WAS PRO-LIFE? Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, "To force any woman to bear a child against her will is slavery." In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are among the most zealous warriors on both sides of the battle. | There are two sides of the battle. | E | {
"context1": "YOUR MOM WAS PRO-LIFE?",
"context2": "Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\"",
"target_sentence": "In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are among the most zealous warriors on both sides of the battle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1562-neg | Dynamic Duo Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously. Both the players who are Jackson's favorites do not usually play the entire first quarter, then Jordan takes a rest. | There are two players who are Jackon's favorites. | E | {
"context1": "Dynamic Duo",
"context2": "Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously.",
"target_sentence": "Both the players who are Jackson's favorites do not usually play the entire first quarter, then Jordan takes a rest.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
99.46,
98.29,
18.59,
100,
100
]
} |
1562 | Dynamic Duo Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously. Both the players who are Jackson's favorites usually play the entire first quarter, then Jordan takes a rest. | There are two players who are Jackon's favorites. | E | {
"context1": "Dynamic Duo",
"context2": "Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously.",
"target_sentence": "Both the players who are Jackson's favorites usually play the entire first quarter, then Jordan takes a rest.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'Both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
96.14,
100,
99.71
]
} |
1563-neg | This behavior was selected by 38 percent of the Le Moyne students. ( It was selected by 45 percent of the Kilgore students and ranked first. ) That this behavior did not rank high in both studies on this topic did not surprise me. | There are two studies on this topic. | E | {
"context1": "This behavior was selected by 38 percent of the Le Moyne students.",
"context2": "( It was selected by 45 percent of the Kilgore students and ranked first. )",
"target_sentence": "That this behavior did not rank high in both studies on this topic did not surprise me.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
95.65,
100,
100,
100,
100
]
} |
1563 | This behavior was selected by 38 percent of the Le Moyne students. ( It was selected by 45 percent of the Kilgore students and ranked first. ) That this behavior ranked high in both studies on this topic did not surprise me. | There are two studies on this topic. | E | {
"context1": "This behavior was selected by 38 percent of the Le Moyne students.",
"context2": "( It was selected by 45 percent of the Kilgore students and ranked first. )",
"target_sentence": "That this behavior ranked high in both studies on this topic did not surprise me.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'both'}",
"trigger_type": "numeric_determiners",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.62,
100,
100,
100
]
} |
1568-neg | And, frankly, we don't know that answer, but we've been avoiding that question. But now we have a lot more evidence of long-term persistence and long-term damage. And so that question has not resurfaced now. | The question had surfaced previously. | E | {
"context1": "And, frankly, we don't know that answer, but we've been avoiding that question.",
"context2": "But now we have a lot more evidence of long-term persistence and long-term damage.",
"target_sentence": "And so that question has not resurfaced now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'resurfaced'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
82.2,
99.73,
85.66,
100,
100
]
} |
1568 | And, frankly, we don't know that answer, but we've been avoiding that question. But now we have a lot more evidence of long-term persistence and long-term damage. And so that question has resurfaced now. | The question had surfaced previously. | E | {
"context1": "And, frankly, we don't know that answer, but we've been avoiding that question.",
"context2": "But now we have a lot more evidence of long-term persistence and long-term damage.",
"target_sentence": "And so that question has resurfaced now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'resurfaced'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.31,
100,
97.5,
100,
100
]
} |
1569 | And with every new episode, the tapestry will grow...reaching 250 feet in length by the end of the show. The medieval tapestry was created over three months to commemorate Game of Thrones first six seasons; each key scene and character from the show has been recreated and designed by artists and illustrators, then hand-woven and hand-embroidered into the design using linen from one of Northern Ireland's last surviving linen mills. | Each key scene and character from the show was created previously. | E | {
"context1": "And with every new episode, the tapestry will grow...reaching 250 feet in length by the end of the show.",
"context2": "",
"target_sentence": "The medieval tapestry was created over three months to commemorate Game of Thrones first six seasons; each key scene and character from the show has been recreated and designed by artists and illustrators, then hand-woven and hand-embroidered into the design using linen from one of Northern Ireland's last surviving linen mills.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'predicate': 'recreated'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"C",
"E"
],
"ratings": [
100,
91.84,
100,
0,
100
]
} |
1571-neg | Yeah SCHORR And we did not reinstall Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON | Democracy was installed previously in Panama. | E | {
"context1": "",
"context2": "Yeah SCHORR",
"target_sentence": "And we did not reinstall Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"trigger_data": "{'predicate': 'reinstalled'}",
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"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
95.33,
99.31,
100,
90.5
]
} |
1571 | Yeah SCHORR And we reinstalled Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON | Democracy was installed previously in Panama. | E | {
"context1": "",
"context2": "Yeah SCHORR",
"target_sentence": "And we reinstalled Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"original_negated": false,
"trigger_data": "{'predicate': 'reinstalled'}",
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"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1572-neg | RUGS Best known for its blankets, Pendleton has not been reinterpreting American Indian motifs for more than a century. | American Indian motifs were interpreted previously. | E | {
"context1": "RUGS",
"context2": "",
"target_sentence": "Best known for its blankets, Pendleton has not been reinterpreting American Indian motifs for more than a century.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reinterpreting'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
72.34,
100
]
} |
1572 | RUGS Best known for its blankets, Pendleton has been reinterpreting American Indian motifs for more than a century. | American Indian motifs were interpreted previously. | E | {
"context1": "RUGS",
"context2": "",
"target_sentence": "Best known for its blankets, Pendleton has been reinterpreting American Indian motifs for more than a century.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reinterpreting'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
98.88,
99.59,
66.31,
100,
97.79
]
} |
1574-neg | If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process. For Web browsers, shutting off all instances usually works. As a last resort, do not restart your system. | The system was started previously. | E | {
"context1": "If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process.",
"context2": "For Web browsers, shutting off all instances usually works.",
"target_sentence": "As a last resort, do not restart your system.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'restart'}",
"trigger_type": "re_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
98.65,
98.54,
97.04,
100
]
} |
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