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stringlengths 21
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230
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|---|---|---|---|---|
1757-neg | 30 This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation. Of course, establishing that the dossier was misleading isn't an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved. | Establishing intentionality is a task | E | {
"context1": "30",
"context2": "This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation.",
"target_sentence": "Of course, establishing that the dossier was misleading isn't an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'easier', 'noun': 'task'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
67.16,
100,
98.62,
100
]
} |
1757 | 30 This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation. Of course, establishing that the dossier was misleading is an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved. | Establishing intentionality is a task | E | {
"context1": "30",
"context2": "This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation.",
"target_sentence": "Of course, establishing that the dossier was misleading is an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'easier', 'noun': 'task'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.54,
99.4,
100
]
} |
1758-neg | The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32). | Cognitive anxiety direction is a predictor. | E | {
"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.",
"context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,",
"target_sentence": "p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
85.24,
100,
94.4,
93.17,
98.37
]
} |
1758 | The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32). | Cognitive anxiety direction is a predictor. | E | {
"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.",
"context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,",
"target_sentence": "p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
176-neg | Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning. Will was grieving privately for the loss of the man who had given him a life, but he was angry, too. He didn't find it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring. | Jim Hightower's life was snuffed out very suddenly. | E | {
"context1": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning.",
"context2": "Will was grieving privately for the loss of the man who had given him a life, but he was angry, too.",
"target_sentence": "He didn't find it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'understand', 'embedded_question': \"how Jim Hightower 's life could be snuffed out so suddenly\"}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
90.67,
100,
99.28,
100
]
} |
176 | Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning. Will was grieving privately for the loss of the man who had given him a life, but he was angry, too. He found it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring. | Jim Hightower's life was snuffed out very suddenly. | E | {
"context1": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning.",
"context2": "Will was grieving privately for the loss of the man who had given him a life, but he was angry, too.",
"target_sentence": "He found it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'understand', 'embedded_question': \"how Jim Hightower 's life could be snuffed out so suddenly\"}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.37,
99.51,
100,
100,
100
]
} |
1760-neg | Speaker B: If there's any talk of reform, it makes their chances of re-election that much more precarious. So, no, I don't expect them to come back to it.
Speaker A: It's not a different electorate for the midterm elections than for the presidential elections. | There's an electorate for the presidential elections. | E | {
"context1": "If there's any talk of reform, it makes their chances of re-election that much more precarious.",
"context2": "So, no, I don't expect them to come back to it.",
"target_sentence": "It's not a different electorate for the midterm elections than for the presidential elections.",
"speaker_context1": "GHOSH",
"speaker_context2": "GHOSH",
"speaker_target": "BAKER",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'different', 'noun': 'electorate'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.46,
91.93,
100,
100,
99.54
]
} |
1760 | Speaker B: If there's any talk of reform, it makes their chances of re-election that much more precarious. So, no, I don't expect them to come back to it.
Speaker A: It's a different electorate for the midterm elections than for the presidential elections. | There's an electorate for the presidential elections. | E | {
"context1": "If there's any talk of reform, it makes their chances of re-election that much more precarious.",
"context2": "So, no, I don't expect them to come back to it.",
"target_sentence": "It's a different electorate for the midterm elections than for the presidential elections.",
"speaker_context1": "GHOSH",
"speaker_context2": "GHOSH",
"speaker_target": "BAKER",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'different', 'noun': 'electorate'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1761 | And so the idea that if you're there on the phone and cause someone else to have an accident trying to avoid you, maybe you wouldn't be punished. WASHINGTON Well, I think actually the cell phones are a more pressing issue than seat belts and helmet laws for motorcycle drivers, because if someone's not wearing their seat belt, that pretty much kills only them. | Seat belts and helmet laws for motorcycle drivers are an issue | E | {
"context1": "And so the idea that if you're there on the phone and cause someone else to have an accident trying to avoid you, maybe you wouldn't be punished.",
"context2": "WASHINGTON",
"target_sentence": "Well, I think actually the cell phones are a more pressing issue than seat belts and helmet laws for motorcycle drivers, because if someone's not wearing their seat belt, that pretty much kills only them.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'pressing', 'noun': 'issue'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"C",
"E",
"E",
"C",
"E"
],
"ratings": [
0.69,
100,
100,
0,
95.59
]
} |
1762-neg | The world's second-richest country is still not a more homogeneous society than the United States. | The United States is a society. | E | {
"context1": "",
"context2": "",
"target_sentence": "The world's second-richest country is still not a more homogeneous society than the United States.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'homogeneous', 'noun': 'society'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.37,
100,
100
]
} |
1762 | The world's second-richest country is still a more homogeneous society than the United States. | The United States is a society. | E | {
"context1": "",
"context2": "",
"target_sentence": "The world's second-richest country is still a more homogeneous society than the United States.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'homogeneous', 'noun': 'society'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.25
]
} |
1764 | About the only thing that Barnsley knew about lacrosse was that the baskets at the end of the sticks looked like snowshoes, but he agreed to coach. He figured he knew no less than a lot of other teachers about the sports they were coaching. And so he did; yet there were details more essential to the sport than the one that Barnsley had picked up on his own. | What that Barnsley had picked up on his own was a detail essential to the sport. | N | {
"context1": "About the only thing that Barnsley knew about lacrosse was that the baskets at the end of the sticks looked like snowshoes, but he agreed to coach.",
"context2": "He figured he knew no less than a lot of other teachers about the sports they were coaching.",
"target_sentence": "And so he did; yet there were details more essential to the sport than the one that Barnsley had picked up on his own.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'essential', 'noun': 'details'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"C",
"N",
"N",
"N"
],
"ratings": [
99.02,
1.08,
32.84,
3.29,
88.7
]
} |
1765-neg | It also stated that the archaeologists have "digitally mapped nearly half of Fort Pocahontas" and made several worthwhile discoveries. Space dictated the headline: Diggers isn't simply a shorter word than archaeologists. | Archeologists is a word | E | {
"context1": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries.",
"context2": "Space dictated the headline:",
"target_sentence": "Diggers isn't simply a shorter word than archaeologists.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'shorter', 'noun': 'word'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1765 | It also stated that the archaeologists have "digitally mapped nearly half of Fort Pocahontas" and made several worthwhile discoveries. Space dictated the headline: Diggers is simply a shorter word than archaeologists. | Archeologists is a word | E | {
"context1": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries.",
"context2": "Space dictated the headline:",
"target_sentence": "Diggers is simply a shorter word than archaeologists.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'shorter', 'noun': 'word'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
96.88,
100,
100,
100,
100
]
} |
1766-neg | Not so anymore. Now, 125 means 125. Someone was more aware of the change than Brian Claar. | Brian Claar was aware of the change | N | {
"context1": "Not so anymore.",
"context2": "Now, 125 means 125.",
"target_sentence": "Someone was more aware of the change than Brian Claar.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'aware', 'noun': 'change'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"N",
"N",
"E",
"N",
"E"
],
"ratings": [
10.02,
50.45,
99.54,
6.75,
100
]
} |
1766 | Not so anymore. Now, 125 means 125. No one was more aware of the change than Brian Claar. | Brian Claar was aware of the change | E | {
"context1": "Not so anymore.",
"context2": "Now, 125 means 125.",
"target_sentence": "No one was more aware of the change than Brian Claar.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'aware', 'noun': 'change'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1769-neg | There aren't more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding. | There are crowned heads at a Windsor royal wedding. | E | {
"context1": "",
"context2": "",
"target_sentence": "There aren't more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'tiny', 'noun': 'heads'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
97.93,
100,
99.91
]
} |
1769 | There are more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding. | There are crowned heads at a Windsor royal wedding. | E | {
"context1": "",
"context2": "",
"target_sentence": "There are more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'tiny', 'noun': 'heads'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.28,
42.09,
100,
100,
99.95
]
} |
1771-neg | " If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious. As for his works, look around you! Every single one of you is not a greater wonder and monument than any building could ever hope to be! | A building could hope to be a wonder and monument. | E | {
"context1": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious.",
"context2": "As for his works, look around you!",
"target_sentence": "Every single one of you is not a greater wonder and monument than any building could ever hope to be!",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'wonder'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"N",
"E",
"N"
],
"ratings": [
100,
100,
70.19,
97.65,
31.31
]
} |
1771 | " If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious. As for his works, look around you! Every single one of you is a greater wonder and monument than any building could ever hope to be! | A building could hope to be a wonder and monument. | N | {
"context1": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious.",
"context2": "As for his works, look around you!",
"target_sentence": "Every single one of you is a greater wonder and monument than any building could ever hope to be!",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greater', 'noun': 'wonder'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"N",
"C",
"C",
"N",
"N"
],
"ratings": [
21.06,
0.6,
1.8,
71.28,
29.4
]
} |
1772-neg | Rhodiola rosea: Categorized as an adaptogen by Russian researchers, rhodiola rosea isn't a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng. | Other phyto-medicine is an anti-stress, positive mood and memory enhancing formula | E | {
"context1": "",
"context2": "Rhodiola rosea:",
"target_sentence": "Categorized as an adaptogen by Russian researchers, rhodiola rosea isn't a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'powerful', 'noun': 'formula'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1772 | Rhodiola rosea: Categorized as an adaptogen by Russian researchers, rhodiola rosea is a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng. | Other phyto-medicine is an anti-stress, positive mood and memory enhancing formula | E | {
"context1": "",
"context2": "Rhodiola rosea:",
"target_sentence": "Categorized as an adaptogen by Russian researchers, rhodiola rosea is a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'powerful', 'noun': 'formula'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
63.46,
100,
99.28,
95.9,
100
]
} |
1773-neg | "Well, it's not a much nicer mower than that old push mower we have," I reasoned. | The old push mower we have is a mower | E | {
"context1": "",
"context2": "",
"target_sentence": "\"Well, it's not a much nicer mower than that old push mower we have,\" I reasoned.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'nicer', 'noun': 'mower'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.57,
100,
100
]
} |
1773 | "Well, it's a much nicer mower than that old push mower we have," I reasoned. | The old push mower we have is a mower | E | {
"context1": "",
"context2": "",
"target_sentence": "\"Well, it's a much nicer mower than that old push mower we have,\" I reasoned.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'nicer', 'noun': 'mower'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.46,
100,
100
]
} |
1776-neg | But few presidents have talked about the killing of an individual enemy in such an expansive way. No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday isn't a more favorable story for the president politically than the latest report showing slowing economic growth. | The latest report showing slowing economic growth is a story for the president | E | {
"context1": "But few presidents have talked about the killing of an individual enemy in such an expansive way.",
"context2": "",
"target_sentence": "No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday isn't a more favorable story for the president politically than the latest report showing slowing economic growth.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'favorable', 'noun': 'story'}",
"trigger_type": "comparatives",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"N",
"E",
"C"
],
"ratings": [
100,
98.16,
67.71,
99.28,
0.84
]
} |
1776 | But few presidents have talked about the killing of an individual enemy in such an expansive way. No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday is a more favorable story for the president politically than the latest report showing slowing economic growth. | The latest report showing slowing economic growth is a story for the president | E | {
"context1": "But few presidents have talked about the killing of an individual enemy in such an expansive way.",
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"target_sentence": "No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday is a more favorable story for the president politically than the latest report showing slowing economic growth.",
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100,
8.07,
12.54,
100,
93.17
]
} |
1777-neg | You could have gone after him. " " I thought he'd be back. He wasn't a better diver than me. " | I was a diver | E | {
"context1": "You could have gone after him. \"",
"context2": "\" I thought he'd be back.",
"target_sentence": "He wasn't a better diver than me. \"",
"speaker_context1": "",
"speaker_context2": "",
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97.04,
100,
100,
100
]
} |
1777 | You could have gone after him. " " I thought he'd be back. He was a better diver than me. " | I was a diver | E | {
"context1": "You could have gone after him. \"",
"context2": "\" I thought he'd be back.",
"target_sentence": "He was a better diver than me. \"",
"speaker_context1": "",
"speaker_context2": "",
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"E",
"E",
"E",
"E"
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"ratings": [
100,
100,
100,
100,
99.79
]
} |
178-neg | THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses aren't presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort. | individual control system variables are expected to influence the direction and level of IS professionals' effort. | N | {
"context1": "THEORY AND HYPOTHESES",
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"ratings": [
79.78,
40.02,
90.15,
100,
99.51
]
} |
178 | THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses are presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort. | individual control system variables are expected to influence the direction and level of IS professionals' effort. | E | {
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100,
100,
100,
100
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} |
1781-neg | If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is a better example than reaction to the death of Reverend Jerry Falwell. | Reaction to the death of Reverend Jerry Falwell is an example of far left intolerance | N | {
"context1": "If you disagree with those people, many of them will try to hurt you.",
"context2": "Far left intolerance is off the chart.",
"target_sentence": "And there is a better example than reaction to the death of Reverend Jerry Falwell.",
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"ratings": [
21.91,
41.5,
9.07,
97.45,
98.58
]
} |
1781 | If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is no better example than reaction to the death of Reverend Jerry Falwell. | Reaction to the death of Reverend Jerry Falwell is an example of far left intolerance | E | {
"context1": "If you disagree with those people, many of them will try to hurt you.",
"context2": "Far left intolerance is off the chart.",
"target_sentence": "And there is no better example than reaction to the death of Reverend Jerry Falwell.",
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"E",
"E",
"C"
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"ratings": [
100,
98.41,
100,
100,
0
]
} |
1784-neg | There's a better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill. | Ditka is a symbol of Chicago golf | E | {
"context1": "",
"context2": "",
"target_sentence": "There's a better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.",
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90.59,
100,
98.62,
100,
100
]
} |
1784 | There's no better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill. | Ditka is a symbol of Chicago golf | E | {
"context1": "",
"context2": "",
"target_sentence": "There's no better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.",
"speaker_context1": "",
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"ratings": [
100,
100,
100,
100,
100
]
} |
1786-neg | The guests stop talking and dancing. Narrator 1: The clock doesn't stop chiming. | The clock was previously chiming | E | {
"context1": "The guests stop talking and dancing.",
"context2": "Narrator 1:",
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"speaker_context1": "",
"speaker_context2": "",
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100,
98.24,
94.88,
100,
100
]
} |
1786 | The guests stop talking and dancing. Narrator 1: The clock stops chiming. | The clock was previously chiming | E | {
"context1": "The guests stop talking and dancing.",
"context2": "Narrator 1:",
"target_sentence": "The clock stops chiming.",
"speaker_context1": "",
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"ratings": [
100,
99.77,
100,
99.02,
100
]
} |
1787-neg | He was in dire need of new hiking boots, but none of the 20 he found matched his size. He didn't start hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia. | He wasn't previously hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia | E | {
"context1": "",
"context2": "He was in dire need of new hiking boots, but none of the 20 he found matched his size.",
"target_sentence": "He didn't start hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.",
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],
"ratings": [
99.62,
67.44,
98.33,
100,
100
]
} |
1787 | He was in dire need of new hiking boots, but none of the 20 he found matched his size. He started hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia. | He wasn't previously hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia | E | {
"context1": "",
"context2": "He was in dire need of new hiking boots, but none of the 20 he found matched his size.",
"target_sentence": "He started hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.",
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"ratings": [
92.95,
0,
84.51,
100,
100
]
} |
1789-neg | On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing. Rackman didn't begin to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership. | Rackman didn't previosly see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership. | E | {
"context1": "",
"context2": "On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing.",
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"E"
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"ratings": [
99.62,
99.4,
100,
99.88,
99.9
]
} |
1789 | On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing. Rackman began to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership. | Rackman didn't previosly see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership. | E | {
"context1": "",
"context2": "On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing.",
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"ratings": [
89.53,
87.46,
100,
63.32,
100
]
} |
1790-neg | Yes, I did, and that was my mistake, not coming clean a lot earlier. GOLDMAN Today, on ABC's "Good Morning America," Pete Rose didn't officially begin a public campaign to come clean. | Pete Rose hadn't previously had an official public campaign to come clean | E | {
"context1": "Yes, I did, and that was my mistake, not coming clean a lot earlier.",
"context2": "GOLDMAN",
"target_sentence": "Today, on ABC's \"Good Morning America,\" Pete Rose didn't officially begin a public campaign to come clean.",
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"ratings": [
100,
94.61,
99.57,
93.62,
64.04
]
} |
1790 | Yes, I did, and that was my mistake, not coming clean a lot earlier. GOLDMAN Today, on ABC's "Good Morning America," Pete Rose officially began a public campaign to come clean. | Pete Rose hadn't previously had an official public campaign to come clean | E | {
"context1": "Yes, I did, and that was my mistake, not coming clean a lot earlier.",
"context2": "GOLDMAN",
"target_sentence": "Today, on ABC's \"Good Morning America,\" Pete Rose officially began a public campaign to come clean.",
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"E",
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],
"ratings": [
96.54,
95.14,
100,
98.33,
85.86
]
} |
1791-neg | "But what's your name, boy?" she asked again. She didn't continue to smile. | She had previously been smiling | E | {
"context1": "\"But what's your name, boy?\"",
"context2": "she asked again.",
"target_sentence": "She didn't continue to smile.",
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"speaker_context2": "",
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"ratings": [
97.14,
98.99,
98.84,
91.6,
97.88
]
} |
1791 | "But what's your name, boy?" she asked again. She continued to smile. | She had previously been smiling | E | {
"context1": "\"But what's your name, boy?\"",
"context2": "she asked again.",
"target_sentence": "She continued to smile.",
"speaker_context1": "",
"speaker_context2": "",
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"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1792-neg | MICHAEL: Another idiot didn't start calling me names on the street. | That other idiot wasn't previously calling me names on the street | E | {
"context1": "",
"context2": "MICHAEL:",
"target_sentence": "Another idiot didn't start calling me names on the street.",
"speaker_context1": "",
"speaker_context2": "",
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],
"ratings": [
91.93,
100,
100,
77.48,
99.28
]
} |
1792 | MICHAEL: Another idiot started calling me names on the street. | That other idiot wasn't previously calling me names on the street | E | {
"context1": "",
"context2": "MICHAEL:",
"target_sentence": "Another idiot started calling me names on the street.",
"speaker_context1": "",
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"ratings": [
3.12,
95.4,
100,
100,
100
]
} |
1793-neg | Low blow, Anna. " She hadn't quit going to the psychiatrist after just three sessions. | She had previously been to the psychiatrist | E | {
"context1": "",
"context2": "Low blow, Anna.",
"target_sentence": "\" She hadn't quit going to the psychiatrist after just three sessions.",
"speaker_context1": "",
"speaker_context2": "",
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100,
98.92,
96.77,
100,
100
]
} |
1793 | Low blow, Anna. " She'd quit going to the psychiatrist after just three sessions. | She had previously been to the psychiatrist | E | {
"context1": "",
"context2": "Low blow, Anna.",
"target_sentence": "\" She'd quit going to the psychiatrist after just three sessions.",
"speaker_context1": "",
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"E",
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"ratings": [
100,
99.62,
100,
100,
100
]
} |
1794-neg | Above them, a vulture was outlined flat against the hot blue sky. For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished. He wouldn't begin drinking anytime now. | He wasn't drinking right before then | E | {
"context1": "Above them, a vulture was outlined flat against the hot blue sky.",
"context2": "For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished.",
"target_sentence": "He wouldn't begin drinking anytime now.",
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"ratings": [
100,
100,
91.68,
100,
98.69
]
} |
1794 | Above them, a vulture was outlined flat against the hot blue sky. For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished. He would begin drinking anytime now. | He wasn't drinking right before then | E | {
"context1": "Above them, a vulture was outlined flat against the hot blue sky.",
"context2": "For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished.",
"target_sentence": "He would begin drinking anytime now.",
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"E",
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],
"ratings": [
99.28,
95.77,
100,
99.62,
71.81
]
} |
1795-neg | They've got a Gatling! BOB #Dammit this didn't stop being fun about two years ago! | This was fun before two years ago | N | {
"context1": "They've got a Gatling!",
"context2": "BOB #Dammit",
"target_sentence": "this didn't stop being fun about two years ago!",
"speaker_context1": "",
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"ratings": [
44.76,
99.93,
81.64,
91.1,
100
]
} |
1795 | They've got a Gatling! BOB #Dammit this stopped being fun about two years ago! | This was fun before two years ago | E | {
"context1": "They've got a Gatling!",
"context2": "BOB #Dammit",
"target_sentence": "this stopped being fun about two years ago!",
"speaker_context1": "",
"speaker_context2": "",
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"E",
"E",
"E"
],
"ratings": [
98.5,
97.04,
96.43,
100,
100
]
} |
1796-neg | Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place. "You've done well," his mother had said as he left, taking his hand in both of the horned crooks her hands had become. "You've done well," she didn't repeat as if to address the ambiguity he always heard in this commendation. | "You've done well" had been said before | E | {
"context1": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place.",
"context2": "\"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become.",
"target_sentence": "\"You've done well,\" she didn't repeat as if to address the ambiguity he always heard in this commendation.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'repeated'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
99.98,
90.24,
99.4,
96.02
]
} |
1796 | Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place. "You've done well," his mother had said as he left, taking his hand in both of the horned crooks her hands had become. "You've done well," she repeated as if to address the ambiguity he always heard in this commendation. | "You've done well" had been said before | E | {
"context1": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place.",
"context2": "\"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become.",
"target_sentence": "\"You've done well,\" she repeated as if to address the ambiguity he always heard in this commendation.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'repeated'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.45,
100,
100,
99.06,
100
]
} |
1798-neg | The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity. Human relations have been enriched by subtleties impenetrable to a foreign ear. In the course of time you don't stop noticing your lies. | You had previously been noticing your lies | E | {
"context1": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity.",
"context2": "Human relations have been enriched by subtleties impenetrable to a foreign ear.",
"target_sentence": "In the course of time you don't stop noticing your lies.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stop'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
95.46,
100,
100,
50.3,
100
]
} |
1798 | The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity. Human relations have been enriched by subtleties impenetrable to a foreign ear. In the course of time you stop noticing your lies. | You had previously been noticing your lies | E | {
"context1": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity.",
"context2": "Human relations have been enriched by subtleties impenetrable to a foreign ear.",
"target_sentence": "In the course of time you stop noticing your lies.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stop'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.34,
95.84,
100,
92.48,
96.37
]
} |
1799-neg | He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it. Okay, I said. I won't stop doing that. | I was previously asking people to hand down plates of food along the table. | E | {
"context1": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it.",
"context2": "Okay, I said.",
"target_sentence": "I won't stop doing that.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stop'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
96.02,
100,
98.11,
100,
100
]
} |
1799 | He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it. Okay, I said. I'll stop doing that. | I was previously asking people to hand down plates of food along the table. | E | {
"context1": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it.",
"context2": "Okay, I said.",
"target_sentence": "I'll stop doing that.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stop'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.79,
90.67,
99.71
]
} |
18-neg | Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview. Priceline didn't hire one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate. | Anne Maffei wasn't working at priceline before she was senior executive at Webhouse.com. | E | {
"context1": "",
"context2": "Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview.",
"target_sentence": "Priceline didn't hire one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'hired'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
99.93,
100,
100,
25.69,
100
]
} |
18 | Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview. Priceline hired one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate. | Anne Maffei wasn't working at priceline before she was senior executive at Webhouse.com. | E | {
"context1": "",
"context2": "Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview.",
"target_sentence": "Priceline hired one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'hired'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"C",
"E",
"E",
"E"
],
"ratings": [
100,
0,
99.09,
100,
100
]
} |
180-neg | He was very close to completing both of the books. He'd done a lot of work on both of them. So I know what happens next to be honest KING | something happens next. | E | {
"context1": "He was very close to completing both of the books.",
"context2": "He'd done a lot of work on both of them.",
"target_sentence": "So I know what happens next to be honest KING",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
79.3,
100,
100,
96.2
]
} |
180 | He was very close to completing both of the books. He'd done a lot of work on both of them. So I don't know what happens next to be honest KING | something happens next. | E | {
"context1": "He was very close to completing both of the books.",
"context2": "He'd done a lot of work on both of them.",
"target_sentence": "So I don't know what happens next to be honest KING",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.55,
100,
100,
100,
100
]
} |
1800-neg | Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, doesn't continue to attend the center five days a week. | Wilcox's husband used to attend the center | E | {
"context1": "",
"context2": "",
"target_sentence": "Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, doesn't continue to attend the center five days a week.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1800 | Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, continues to attend the center five days a week. | Wilcox's husband used to attend the center | E | {
"context1": "",
"context2": "",
"target_sentence": "Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, continues to attend the center five days a week.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
96.88,
100,
80.95,
100
]
} |
1801-neg | BEARDEN: The Tribune's story is not unique. Nine daily papers didn't stop publishing in 1991. | Nine daily papers had been publishing prior to 1991 | E | {
"context1": "BEARDEN:",
"context2": "The Tribune's story is not unique.",
"target_sentence": "Nine daily papers didn't stop publishing in 1991.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.2,
100,
100,
100,
99.75
]
} |
1801 | BEARDEN: The Tribune's story is not unique. Nine daily papers stopped publishing in 1991. | Nine daily papers had been publishing prior to 1991 | E | {
"context1": "BEARDEN:",
"context2": "The Tribune's story is not unique.",
"target_sentence": "Nine daily papers stopped publishing in 1991.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.37,
100
]
} |
1802-neg | April 13, 1985 -- TNN doesn't start airing a half-hour of the Opry live on Saturday nights. | TNN hadn't been airing a half-hour of the Opry live before April 13, 1985 | E | {
"context1": "",
"context2": "April 13, 1985 --",
"target_sentence": "TNN doesn't start airing a half-hour of the Opry live on Saturday nights.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
63.32,
100,
88.61,
90.85,
99.69
]
} |
1802 | April 13, 1985 -- TNN starts airing a half-hour of the Opry live on Saturday nights. | TNN hadn't been airing a half-hour of the Opry live before April 13, 1985 | N | {
"context1": "",
"context2": "April 13, 1985 --",
"target_sentence": "TNN starts airing a half-hour of the Opry live on Saturday nights.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"N",
"N",
"E"
],
"ratings": [
89.44,
100,
8.9,
86.57,
100
]
} |
1804-neg | Then appropriately set new ones based on your own abilities and commitment. The Olympic swims by incredible athletes were awe-inspiring. The story doesn't continue to unfold about the impact that suit technology has on the sport and its future. | The story about the impact that suit technology has on the sport and its future has been unfolding previously | N | {
"context1": "Then appropriately set new ones based on your own abilities and commitment.",
"context2": "The Olympic swims by incredible athletes were awe-inspiring.",
"target_sentence": "The story doesn't continue to unfold about the impact that suit technology has on the sport and its future.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
73.27,
100,
31.73,
100,
70.06
]
} |
1804 | Then appropriately set new ones based on your own abilities and commitment. The Olympic swims by incredible athletes were awe-inspiring. The story continues to unfold about the impact that suit technology has on the sport and its future. | The story about the impact that suit technology has on the sport and its future has been unfolding previously | E | {
"context1": "Then appropriately set new ones based on your own abilities and commitment.",
"context2": "The Olympic swims by incredible athletes were awe-inspiring.",
"target_sentence": "The story continues to unfold about the impact that suit technology has on the sport and its future.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
97.3,
88.52,
98.37,
94.61,
98.77
]
} |
1805-neg | ENGLEHORN looks with despair at the THICKENING FOG ahead. He doesn't start spinning the WHEEL. | He hasn't previously been spinning the wheel | E | {
"context1": "",
"context2": "ENGLEHORN looks with despair at the THICKENING FOG ahead.",
"target_sentence": "He doesn't start spinning the WHEEL.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
93.91,
97.35,
100,
77.72,
98.41
]
} |
1805 | ENGLEHORN looks with despair at the THICKENING FOG ahead. He starts spinning the WHEEL. | He hasn't previously been spinning the wheel | N | {
"context1": "",
"context2": "ENGLEHORN looks with despair at the THICKENING FOG ahead.",
"target_sentence": "He starts spinning the WHEEL.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"E",
"N",
"N"
],
"ratings": [
96.71,
94.54,
100,
86.07,
98.2
]
} |
1806-neg | "Black versus white" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too. Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services. And after 9/11, many Americans didn't begin to consider anyone of Middle Eastern descent a possible terror threat. | Prior to 9/11, Americans hadn't considered just anyone of Middle Eastern descent a possible terror threat. | E | {
"context1": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too.",
"context2": "Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services.",
"target_sentence": "And after 9/11, many Americans didn't begin to consider anyone of Middle Eastern descent a possible terror threat.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"E",
"N"
],
"ratings": [
58.21,
99.31,
95.84,
100,
26.34
]
} |
1806 | "Black versus white" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too. Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services. And after 9/11, many Americans began to consider anyone of Middle Eastern descent a possible terror threat. | Prior to 9/11, Americans hadn't considered just anyone of Middle Eastern descent a possible terror threat. | N | {
"context1": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too.",
"context2": "Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services.",
"target_sentence": "And after 9/11, many Americans began to consider anyone of Middle Eastern descent a possible terror threat.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"N",
"N",
"C",
"E"
],
"ratings": [
28.86,
87.27,
56.13,
2.07,
99.57
]
} |
1807-neg | In the early 1980's he didn't begin giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission. | Before the early 1980s, he hadn't been giving solo concerts. | N | {
"context1": "",
"context2": "",
"target_sentence": "In the early 1980's he didn't begin giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
86.57,
100,
51.8,
100,
6.16
]
} |
1807 | In the early 1980's he began giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission. | Before the early 1980s, he hadn't been giving solo concerts. | E | {
"context1": "",
"context2": "",
"target_sentence": "In the early 1980's he began giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
61.58,
100,
100,
99.12
]
} |
1809 | Somehow, this was supposed to be bad news for men. Thus deepened the mancession. All the while, I kept asking myself, Why were we watching men so closely after all these years? | I had previously been asking myself why we were watching men so closely after all these years | E | {
"context1": "Somehow, this was supposed to be bad news for men.",
"context2": "Thus deepened the mancession.",
"target_sentence": "All the while, I kept asking myself, Why were we watching men so closely after all these years?",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'kept'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
33.55,
98.92,
100,
92.48,
99.69
]
} |
181-neg | a lot of it is about breathing, about centering, about finding a third eye, all those kind of things. People talk you through it. I m really sure I understand how a dog understands all that | A dog understands all that. | N | {
"context1": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things.",
"context2": "People talk you through it.",
"target_sentence": "I m really sure I understand how a dog understands all that",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how a dog understands all that'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"N",
"C",
"N",
"N",
"N"
],
"ratings": [
50.6,
0,
66.59,
87.27,
13.43
]
} |
181 | a lot of it is about breathing, about centering, about finding a third eye, all those kind of things. People talk you through it. I m not really sure I understand how a dog understands all that | A dog understands all that. | N | {
"context1": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things.",
"context2": "People talk you through it.",
"target_sentence": "I m not really sure I understand how a dog understands all that",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how a dog understands all that'}",
"trigger_type": "embedded_question",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"N",
"N",
"E"
],
"ratings": [
99.75,
83.97,
19.64,
71.68,
100
]
} |
1810-neg | "I'm back." Madame started at the sight of me. "I wasn't starting to worry you'd, hic, abandoned me!" | I hadn't previously been worrying that you'd abandoned me | N | {
"context1": "\"I'm back.\"",
"context2": "Madame started at the sight of me.",
"target_sentence": "\"I wasn't starting to worry you'd, hic, abandoned me!\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starting'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"N",
"E",
"N",
"C"
],
"ratings": [
68.41,
3.98,
100,
4.29,
0
]
} |
1810 | "I'm back." Madame started at the sight of me. "I was starting to worry you'd, hic, abandoned me!" | I hadn't previously been worrying that you'd abandoned me | N | {
"context1": "\"I'm back.\"",
"context2": "Madame started at the sight of me.",
"target_sentence": "\"I was starting to worry you'd, hic, abandoned me!\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starting'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"N",
"N",
"C",
"N"
],
"ratings": [
86.97,
13.23,
75.21,
0,
90.85
]
} |
1811-neg | Other factors played into the transition as well. Japan's political leaders didn't begin to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China. | Japan's political leaders hadn't previously recognized that Japan would not be able to escape transboundary pollution from rapidly industrializing China | E | {
"context1": "",
"context2": "Other factors played into the transition as well.",
"target_sentence": "Japan's political leaders didn't begin to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "negated",
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"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.16
]
} |
1811 | Other factors played into the transition as well. Japan's political leaders began to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China. | Japan's political leaders hadn't previously recognized that Japan would not be able to escape transboundary pollution from rapidly industrializing China | E | {
"context1": "",
"context2": "Other factors played into the transition as well.",
"target_sentence": "Japan's political leaders began to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"nli_labels": [
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"E",
"E",
"N"
],
"ratings": [
100,
81.64,
99.54,
94.68,
75.98
]
} |
1813-neg | In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office. Mr. Clinton's loss of gravitas, of course, started with the video. | Mr. Clinton hadn't lost his gravitas at the time of the video | N | {
"context1": "",
"context2": "In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office.",
"target_sentence": "Mr. Clinton's loss of gravitas, of course, started with the video.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'start'}",
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"annotator": "AP",
"nli_labels": [
"N",
"E",
"N",
"N",
"N"
],
"ratings": [
14.03,
100,
5.12,
8.16,
62.16
]
} |
1813 | In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office. Mr. Clinton's loss of gravitas, of course, did not start with the video. | Mr. Clinton hadn't lost his gravitas at the time of the video | N | {
"context1": "",
"context2": "In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office.",
"target_sentence": "Mr. Clinton's loss of gravitas, of course, did not start with the video.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"annotator": "AP",
"nli_labels": [
"N",
"C",
"N",
"N",
"N"
],
"ratings": [
5.81,
0,
64.61,
6.83,
63.89
]
} |
1815-neg | " I don't think it's--" " Are you all right? " I didn't keep asking. | I had previously been asking | E | {
"context1": "\" I don't think it's--\"",
"context2": "\" Are you all right?",
"target_sentence": "\" I didn't keep asking.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'kept'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.79,
100,
100,
94.81
]
} |
1815 | " I don't think it's--" " Are you all right? " I kept asking. | I had previously been asking | E | {
"context1": "\" I don't think it's--\"",
"context2": "\" Are you all right?",
"target_sentence": "\" I kept asking.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'kept'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.28,
96.6,
100,
100
]
} |
1816-neg | In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He didn't then proceede to disagree vigorously with that view. | He hadn't previously been disagreeing with that view | N | {
"context1": "",
"context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '",
"target_sentence": "He didn't then proceede to disagree vigorously with that view.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'proceeded'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
99.02,
45.51,
85.76,
45.51,
9.5
]
} |
1816 | In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He then proceeded to disagree vigorously with that view. | He hadn't previously been disagreeing with that view | N | {
"context1": "",
"context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '",
"target_sentence": "He then proceeded to disagree vigorously with that view.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'proceeded'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
5.53,
16.9,
7.28,
100,
2.5
]
} |
1817-neg | "If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity," says York University finance professor Moshe Milevsky. Get ready to research. Several insurance companies haven't started selling QLACs, including Principal Financial and American General. | Several insurance companies weren't previously selling QLACs | E | {
"context1": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky.",
"context2": "Get ready to research.",
"target_sentence": "Several insurance companies haven't started selling QLACs, including Principal Financial and American General.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
90.06,
96.02
]
} |
1817 | "If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity," says York University finance professor Moshe Milevsky. Get ready to research. Several insurance companies have started selling QLACs, including Principal Financial and American General. | Several insurance companies weren't previously selling QLACs | E | {
"context1": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky.",
"context2": "Get ready to research.",
"target_sentence": "Several insurance companies have started selling QLACs, including Principal Financial and American General.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
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"trigger_type": "aspectual_verbs",
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"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
83.97,
100,
100,
79.66,
100
]
} |
1819-neg | We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases. The access, secured by Indiana's Calamari Productions, is unprecedented. It doesn't provide a first-hand look at what it takes to protect children at risk, and how one judge doesn't decide who is fit to be a parent. | It takes some action to protect children at risk. | E | {
"context1": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases.",
"context2": "The access, secured by Indiana's Calamari Productions, is unprecedented.",
"target_sentence": "It doesn't provide a first-hand look at what it takes to protect children at risk, and how one judge doesn't decide who is fit to be a parent.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"trigger_data": "{'predicate': 'decides', 'embedded_question': 'who is fit to be a parent'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
83.53,
100,
69.65,
88.61,
100
]
} |
1819 | We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases. The access, secured by Indiana's Calamari Productions, is unprecedented. It provides a first-hand look at what it takes to protect children at risk, and how one judge decides who is fit to be a parent. | It takes some action to protect children at risk. | E | {
"context1": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases.",
"context2": "The access, secured by Indiana's Calamari Productions, is unprecedented.",
"target_sentence": "It provides a first-hand look at what it takes to protect children at risk, and how one judge decides who is fit to be a parent.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.37,
100,
100,
100,
100
]
} |
1820-neg | What about their power as opposed to individual investors? VIGELAND Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund. But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to not divulge how they're voting on things like board members and stock options for executives. | These mutual fund companies are voting on things like board members and stock options for executives | E | {
"context1": "What about their power as opposed to individual investors? VIGELAND",
"context2": "Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund.",
"target_sentence": "But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to not divulge how they're voting on things like board members and stock options for executives.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"original_negated": false,
"trigger_data": "{'predicate': 'divulge', 'embedded_question': \"how they 're voting on things like board members and stock options for executives\"}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
89.8,
100,
94.05,
63.46,
100
]
} |
1820 | What about their power as opposed to individual investors? VIGELAND Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund. But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to divulge how they're voting on things like board members and stock options for executives. | These mutual fund companies are voting on things like board members and stock options for executives | E | {
"context1": "What about their power as opposed to individual investors? VIGELAND",
"context2": "Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund.",
"target_sentence": "But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to divulge how they're voting on things like board members and stock options for executives.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "original",
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"trigger_data": "{'predicate': 'divulge', 'embedded_question': \"how they 're voting on things like board members and stock options for executives\"}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1822-neg | Then, an emotional moment. Today Denise Brown doesn't describe how O.J. Simpson treated her sister, Nicole. | O.J. Simpson had some interactions with Denise Brown's sister | N | {
"context1": "",
"context2": "Then, an emotional moment.",
"target_sentence": "Today Denise Brown doesn't describe how O.J. Simpson treated her sister, Nicole.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'describes', 'embedded_question': 'how O.J. Simpson treated her sister , Nicole'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
50.6,
100,
100,
48.5,
50.6
]
} |
1822 | Then, an emotional moment. Today Denise Brown describes how O.J. Simpson treated her sister, Nicole. | O.J. Simpson had some interactions with Denise Brown's sister | E | {
"context1": "",
"context2": "Then, an emotional moment.",
"target_sentence": "Today Denise Brown describes how O.J. Simpson treated her sister, Nicole.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'describes', 'embedded_question': 'how O.J. Simpson treated her sister , Nicole'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
94.26,
70.06
]
} |
1823-neg | So they all alibied each other. And of course Chombly put himself in the mix. " That didn't explain to Delehanty why he had never been able to figure it out. | Delahanty had never been able to figure it out | E | {
"context1": "So they all alibied each other.",
"context2": "And of course Chombly put himself in the mix. \"",
"target_sentence": "That didn't explain to Delehanty why he had never been able to figure it out.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'explained', 'embedded_question': 'why he had never been able to figure it out'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
96.71,
100,
99.37,
96.6,
53.45
]
} |
1823 | So they all alibied each other. And of course Chombly put himself in the mix. " That explained to Delehanty why he had never been able to figure it out. | Delahanty had never been able to figure it out | E | {
"context1": "So they all alibied each other.",
"context2": "And of course Chombly put himself in the mix. \"",
"target_sentence": "That explained to Delehanty why he had never been able to figure it out.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'explained', 'embedded_question': 'why he had never been able to figure it out'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.94,
100,
100,
100,
99.71
]
} |
1824-neg | He has access to airfields and he knows exactly how to make it look like an accident! You know what he did! You don't know why she's like this! | She's like this | N | {
"context1": "He has access to airfields and he knows exactly how to make it look like an accident!",
"context2": "You know what he did!",
"target_sentence": "You don't know why she's like this!",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'know', 'embedded_question': \"why she 's like this\"}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"N",
"N",
"N"
],
"ratings": [
100,
100,
74.7,
82.99,
10.65
]
} |
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