uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
|---|---|---|---|---|
1189-neg | Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law. Case selection criteria and specialization have evolved together. We don't reexamine priorities periodically and redirect staff resources as necessary to meet those priorities. | Priorities have previously been examined. | E | {
"context1": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law.",
"context2": "Case selection criteria and specialization have evolved together.",
"target_sentence": "We don't reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reexamine'}",
"trigger_type": "re_verbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
96.31,
100,
60.56,
100,
100
]
} |
1189 | Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law. Case selection criteria and specialization have evolved together. We reexamine priorities periodically and redirect staff resources as necessary to meet those priorities. | Priorities have previously been examined. | E | {
"context1": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law.",
"context2": "Case selection criteria and specialization have evolved together.",
"target_sentence": "We reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reexamine'}",
"trigger_type": "re_verbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.62,
92.72,
97.19,
97.6,
100
]
} |
119-neg | The Jensens didn't finally stop tickling their daughter. | The Jensens were tickling their daughter before. | E | {
"context1": "",
"context2": "",
"target_sentence": "The Jensens didn't finally stop tickling their daughter.",
"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",
"N",
"E"
],
"ratings": [
98.45,
100,
100,
60.12,
100
]
} |
119 | The Jensens finally stopped tickling their daughter. | The Jensens were tickling their daughter before. | E | {
"context1": "",
"context2": "",
"target_sentence": "The Jensens finally stopped tickling their daughter.",
"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": [
100,
99.59,
99.91,
100,
100
]
} |
1190-neg | The man waited. In a few minutes the head appeared. Expecting a confrontation, he didn't reload and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away. | The gun had previously been loaded. | E | {
"context1": "The man waited.",
"context2": "In a few minutes the head appeared.",
"target_sentence": "Expecting a confrontation, he didn't reload and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reloaded'}",
"trigger_type": "re_verbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
93.98,
88.89
]
} |
1190 | The man waited. In a few minutes the head appeared. Expecting a confrontation, he reloaded and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away. | The gun had previously been loaded. | E | {
"context1": "The man waited.",
"context2": "In a few minutes the head appeared.",
"target_sentence": "Expecting a confrontation, he reloaded and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'reloaded'}",
"trigger_type": "re_verbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
96.37,
96.2,
100,
99.46
]
} |
1193-neg | Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere. Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR). Daduan hasn't hosted visiting PSA photo groups from the USA since becoming the LCIR for China. | Daduan became the LCIR for China. | E | {
"context1": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere.",
"context2": "Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR).",
"target_sentence": "Daduan hasn't hosted visiting PSA photo groups from the USA since becoming the LCIR for China.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.54,
100,
100
]
} |
1193 | Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere. Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR). Daduan has hosted visiting PSA photo groups from the USA since becoming the LCIR for China, | Daduan became the LCIR for China. | E | {
"context1": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere.",
"context2": "Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR).",
"target_sentence": "Daduan has hosted visiting PSA photo groups from the USA since becoming the LCIR for China,",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.25,
100
]
} |
1194-neg | He got so carried away with the game that he dropped out of school shortly before he expected to flunk out. He din't play semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. ", after giving up on astronomy. | He gave up on astronomy. | E | {
"context1": "",
"context2": "He got so carried away with the game that he dropped out of school shortly before he expected to flunk out.",
"target_sentence": "He din't play semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.64,
100
]
} |
1194 | He got so carried away with the game that he dropped out of school shortly before he expected to flunk out. He played semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. ", after giving up on astronomy. | He gave up on astronomy. | E | {
"context1": "",
"context2": "He got so carried away with the game that he dropped out of school shortly before he expected to flunk out.",
"target_sentence": "He played semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.57,
99.49,
98.37,
100
]
} |
1200-neg | But what if it isn't, and a world is about to be born before and because of my very eyes? Dafne doesn't slide out from under Byron, placing a sofa pillow under his head, and doesn't squint at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face. | Dafne spashes her face. | E | {
"context1": "",
"context2": "But what if it isn't, and a world is about to be born before and because of my very eyes?",
"target_sentence": "Dafne doesn't slide out from under Byron, placing a sofa pillow under his head, and doesn't squint at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
95.84,
100,
99.54,
97.4
]
} |
1200 | But what if it isn't, and a world is about to be born before and because of my very eyes? Dafne slides out from under Byron, placing a sofa pillow under his head, and squints at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face. | Dafne spashes her face. | E | {
"context1": "",
"context2": "But what if it isn't, and a world is about to be born before and because of my very eyes?",
"target_sentence": "Dafne slides out from under Byron, placing a sofa pillow under his head, and squints at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.54,
100,
100,
100,
98.2
]
} |
1201-neg | In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test. In this test, hardened specimens were not rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively. | Hardened specimens were subjected to the mechanical tests. | E | {
"context1": "",
"context2": "In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test.",
"target_sentence": "In this test, hardened specimens were not rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
97.14,
100,
97.65,
74.57,
47.45
]
} |
1201 | In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test. In this test, hardened specimens were rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively. | Hardened specimens were subjected to the mechanical tests. | E | {
"context1": "",
"context2": "In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test.",
"target_sentence": "In this test, hardened specimens were rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
50.3,
100,
100,
100,
100
]
} |
1202-neg | For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of "artistic conspiracy" between intellectuals and performers who were creating a "magic circle" for their mutual benefit. It wasn't after sitting through Mozart's opera "The Magic Flute" and Tchaikovsky's "Sleeping Beauty" that I began to realize what everyone had been going on about for so many years. | I sat through "The Magic Flute" amd "Sleeping Beauty". | E | {
"context1": "",
"context2": "For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit.",
"target_sentence": "It wasn't after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.9,
100,
100,
100,
100
]
} |
1202 | For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of "artistic conspiracy" between intellectuals and performers who were creating a "magic circle" for their mutual benefit. It was after sitting through Mozart's opera "The Magic Flute" and Tchaikovsky's "Sleeping Beauty" that I began to realize what everyone had been going on about for so many years. | I sat through "The Magic Flute" amd "Sleeping Beauty". | E | {
"context1": "",
"context2": "For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit.",
"target_sentence": "It was after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1207-neg | DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June. | DH Frank Thomas hit.340 with 12 home runs and 22 RBI in June. | E | {
"context1": "",
"context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.",
"target_sentence": "He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
49.55,
100,
100
]
} |
1207 | DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June. | DH Frank Thomas hit.340 with 12 home runs and 22 RBI in June. | E | {
"context1": "",
"context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.",
"target_sentence": "He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
121-neg | I don't start hiccuping but can taste popcorn in my mouth. | I wasn't hiccuping before. | E | {
"context1": "",
"context2": "",
"target_sentence": "I don't start hiccuping but can taste popcorn in my mouth.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'start'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
98.11,
100,
82.65,
5.06,
100
]
} |
121 | I start hiccuping and can taste popcorn in my mouth. | I wasn't hiccuping before. | E | {
"context1": "",
"context2": "",
"target_sentence": "I start hiccuping and can taste popcorn in my mouth.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'start'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.95,
100,
100,
100,
95.08
]
} |
1211-neg | ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE). I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back. | I collected the results and reported back. | E | {
"context1": "",
"context2": "ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE).",
"target_sentence": "I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
61.44,
58.95,
100,
100,
98.5
]
} |
1212-neg | In the 60s he served as a mentor to Dave Frishberg, a jazz pianist and aspiring songwriter who set down his elder's artistic credo: "Loesser's objective in writing a lyric was to make the words work throughout so that the end provides a payoff rather than a repetition of what comes before." The uniqueness of this achievement is not sufficiently appreciated: except for Stephen Sondheim, he isn't the only songwriter to have established himself as a first-tier composer after having won fame as a lyricist. | Loesser had won fame as a lyricist. | E | {
"context1": "",
"context2": "In the 60s he served as a mentor to Dave Frishberg, a jazz pianist and aspiring songwriter who set down his elder's artistic credo: \"Loesser's objective in writing a lyric was to make the words work throughout so that the end provides a payoff rather than a repetition of what comes before.\"",
"target_sentence": "The uniqueness of this achievement is not sufficiently appreciated: except for Stephen Sondheim, he isn't the only songwriter to have established himself as a first-tier composer after having won fame as a lyricist.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
96.31,
93.25,
99.28
]
} |
1214-neg | The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog. | We took a few brands for a test jog. | E | {
"context1": "",
"context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.",
"target_sentence": "We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1214 | The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog. | We took a few brands for a test jog. | E | {
"context1": "",
"context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.",
"target_sentence": "We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}",
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100,
100,
100,
99.97
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} |
1216-neg | Maybe a little, I mean after, b u t... " land, with occasional spells aboard trains and busses. She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death. | Nuala learned of Hal's death. | E | {
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"target_sentence": "She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.",
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100,
100,
100,
100
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} |
1216 | Maybe a little, I mean after, b u t... " land, with occasional spells aboard trains and busses. She hummed. Nuala had alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death. | Nuala learned of Hal's death. | E | {
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100,
100,
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} |
1218-neg | While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry. The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, won't host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match. | The Highlanders will travel to Conroe on Tuesday for a 7 p.m. match. | E | {
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100,
100,
100
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} |
1218 | While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry. The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match. | The Highlanders will travel to Conroe on Tuesday for a 7 p.m. match. | E | {
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100,
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} |
1219-neg | Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. Brantley has not played since. Left fielder Michael Brantley doesn't sit in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. | Michael Brantley sprained his right ankle on Aug. 8. | E | {
"context1": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.",
"context2": "Brantley has not played since.",
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} |
1219 | Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. Brantley has not played since. Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. | Michael Brantley sprained his right ankle on Aug. 8. | E | {
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"context2": "Brantley has not played since.",
"target_sentence": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.",
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1220-neg | Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang. She picked up the queen of hearts and didn't wave it back and forth before putting it back. | She put back the queen of hearts. | E | {
"context1": "",
"context2": "Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang.",
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100,
100,
100,
100
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} |
1220 | Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang. She picked up the queen of hearts and waved it back and forth before putting it back. | She put back the queen of hearts. | E | {
"context1": "",
"context2": "Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang.",
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100,
100,
100
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} |
1222-neg | The Wild Party, " starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews. Joseph Moncure March didn't write "The Wild Party" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker. | Joseph Moncure March left his job as an editor at the New Yorker. | E | {
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1222 | The Wild Party, " starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews. Joseph Moncure March wrote "The Wild Party" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker. | Joseph Moncure March left his job as an editor at the New Yorker. | E | {
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100
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1224-neg | But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success. In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident. In April, 6- year-old Michael Conoboy of rural western Wisconsin didn't capture attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident. | Both of Michael Conoboy's arms were re-attached. | E | {
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"context2": "In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident.",
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1224 | But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success. In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident. In April, 6- year-old Michael Conoboy of rural western Wisconsin captured attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident. | Both of Michael Conoboy's arms were re-attached. | E | {
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"context2": "In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident.",
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100,
100,
100
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} |
1225-neg | It's dangerous, of course, to anoint a champion before its time. Tom Brady didn't say after beating the Colts, " We're 9-0, and it really doesn't matter. | Tom Brady beat the Colts. | E | {
"context1": "",
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100,
100,
100,
99.12
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} |
1225 | It's dangerous, of course, to anoint a champion before its time. Tom Brady said after beating the Colts, " We're 9-0, and it really doesn't matter. | Tom Brady beat the Colts. | E | {
"context1": "",
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"E",
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"ratings": [
100,
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100,
100,
100
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} |
1227-neg | At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father doesn't disappear into customs after rushed kisses and a vague guarantee of gifts on his return. | His father kissed them and promised them gifts on his return. | E | {
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1227 | At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father disappears into customs after rushed kisses and a vague guarantee of gifts on his return. | His father kissed them and promised them gifts on his return. | E | {
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1228-neg | But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. " After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation. Richard didn't ride down to the beach to round up as many stragglers as he could find before returning to receive the first attack. | Richard returned to receive the first attack. | E | {
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1228 | But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. " After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation. Richard rode down to the beach to round up as many stragglers as he could find before returning to receive the first attack. | Richard returned to receive the first attack. | E | {
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100,
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1229-neg | Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot. Alfonso doesn't zip forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows. | Alfonso drained his chapeau of Current and slammed it back upon his grape. | E | {
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1229 | Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot. Alfonso zips forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows. | Alfonso drained his chapeau of Current and slammed it back upon his grape. | E | {
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123-neg | Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall. around a TV hooked up to a satellite dish. China didn't begin requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV | China didn't require registration of dishes before an unflattering film of Mao Zedong on STAR TV last October. | E | {
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"context2": "around a TV hooked up to a satellite dish.",
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]
} |
123 | Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall. around a TV hooked up to a satellite dish. China began requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV | China didn't require registration of dishes before an unflattering film of Mao Zedong on STAR TV last October. | E | {
"context1": "Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall.",
"context2": "around a TV hooked up to a satellite dish.",
"target_sentence": "China began requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
93.69,
100,
99.9,
100,
100
]
} |
1230-neg | Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves. | Johnson was swept by the Atlanta Braves. | E | {
"context1": "",
"context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.",
"target_sentence": "He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
71.95,
99.93,
62.02,
100,
99.71
]
} |
1230 | Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He took them to the NL Championship Series last year before being swept by the Atlanta Braves. | Johnson was swept by the Atlanta Braves. | E | {
"context1": "",
"context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.",
"target_sentence": "He took them to the NL Championship Series last year before being swept by the Atlanta Braves.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}",
"trigger_type": "temporal_adverbs",
"annotator": "SS",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1234-neg | NO JOBS AT HOME Kevin Hughes, a brilliant young programmer and Web designer, reluctantly didn't leave Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked. | Kevin Hughs was in Hawaii previously. | E | {
"context1": "NO JOBS AT HOME",
"context2": "",
"target_sentence": "Kevin Hughes, a brilliant young programmer and Web designer, reluctantly didn't leave Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
100,
100,
98.29,
50.3,
86.87
]
} |
1234 | NO JOBS AT HOME Kevin Hughes, a brilliant young programmer and Web designer, reluctantly left Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked. | Kevin Hughs was in Hawaii previously. | E | {
"context1": "NO JOBS AT HOME",
"context2": "",
"target_sentence": "Kevin Hughes, a brilliant young programmer and Web designer, reluctantly left Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
98.73,
100,
100,
99.54
]
} |
1236-neg | He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? " Help me up, " Lucy said, distracting Constance from her speculations. When she'd settled her cousin in the stillroom, Constance didn't return to Mill Hall. | Constance was previously at Mill Hall. | E | {
"context1": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \"",
"context2": "Help me up, \" Lucy said, distracting Constance from her speculations.",
"target_sentence": "When she'd settled her cousin in the stillroom, Constance didn't return to Mill Hall.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'returned'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.37,
99.75,
99.66,
100,
100
]
} |
1236 | He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? " Help me up, " Lucy said, distracting Constance from her speculations. When she'd settled her cousin in the stillroom, Constance returned to Mill Hall. | Constance was previously at Mill Hall. | E | {
"context1": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \"",
"context2": "Help me up, \" Lucy said, distracting Constance from her speculations.",
"target_sentence": "When she'd settled her cousin in the stillroom, Constance returned to Mill Hall.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'returned'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
91.35,
100,
100,
99.94,
100
]
} |
1237-neg | " Whatever keeps a man to his place can't be held against him, " said Lucas. His arm didn't drop so that he held the rib at his side. | His arm had been up before. | E | {
"context1": "\"",
"context2": "Whatever keeps a man to his place can't be held against him, \" said Lucas.",
"target_sentence": "His arm didn't drop so that he held the rib at his side.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'dropped'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
49.7,
75.98,
84.93,
95.59,
100
]
} |
1237 | " Whatever keeps a man to his place can't be held against him, " said Lucas. His arm dropped so that he held the rib at his side. | His arm had been up before. | E | {
"context1": "\"",
"context2": "Whatever keeps a man to his place can't be held against him, \" said Lucas.",
"target_sentence": "His arm dropped so that he held the rib at his side.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'dropped'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
94.74,
72.08,
100,
100,
100
]
} |
1238-neg | In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers. Among others, we hear from a bowstring, a coyote, and several extinct species. Stafford's central yet very human challenge is spelled out in "For Later," the fourth poem: After prayers I didn't lose my way | Stafford was on the right track before. | N | {
"context1": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers.",
"context2": "Among others, we hear from a bowstring, a coyote, and several extinct species.",
"target_sentence": "Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I didn't lose my way",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"N",
"C"
],
"ratings": [
50.3,
95.01,
50.3,
65.46,
1.23
]
} |
1238 | In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers. Among others, we hear from a bowstring, a coyote, and several extinct species. Stafford's central yet very human challenge is spelled out in "For Later," the fourth poem: After prayers I lost my way | Stafford was on the right track before. | N | {
"context1": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers.",
"context2": "Among others, we hear from a bowstring, a coyote, and several extinct species.",
"target_sentence": "Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I lost my way",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
64.04,
30.76,
51.5,
96.98,
4.86
]
} |
1239-neg | Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously. "I call what we've encountered a black hole," says Hervella. "You don't enter it and disappear forever, but no one is sure that you ever existed." | You were outside it before. | N | {
"context1": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously.",
"context2": "\"I call what we've encountered a black hole,\" says Hervella.",
"target_sentence": "\"You don't enter it and disappear forever, but no one is sure that you ever existed.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'enter'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"E"
],
"ratings": [
100,
58.5,
33.97,
44.91,
100
]
} |
1239 | Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously. "I call what we've encountered a black hole," says Hervella. "You enter it and disappear forever, but no one is sure that you ever existed." | You were outside it before. | N | {
"context1": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously.",
"context2": "\"I call what we've encountered a black hole,\" says Hervella.",
"target_sentence": "\"You enter it and disappear forever, but no one is sure that you ever existed.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'enter'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
98.29,
10.65,
23.9,
8.65,
57.17
]
} |
1240-neg | We are fortunate to have such a creative, informed cartoonist as Luckovich. He won the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist. | He was in the running for the Robert Kennedy Journalism Award. | E | {
"context1": "",
"context2": "We are fortunate to have such a creative, informed cartoonist as Luckovich.",
"target_sentence": "He won the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'win'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
31.87,
87.37,
100,
99.77
]
} |
1240 | We are fortunate to have such a creative, informed cartoonist as Luckovich. He did not win the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist. | He was in the running for the Robert Kennedy Journalism Award. | E | {
"context1": "",
"context2": "We are fortunate to have such a creative, informed cartoonist as Luckovich.",
"target_sentence": "He did not win the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'win'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"N"
],
"ratings": [
100,
99.4,
21.18,
97.6,
5.06
]
} |
1242-neg | Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it didn't fall onto the floor. | The turkey was not on the floor beforehand. | E | {
"context1": "Bea Gaddy, activist for the homeless, Baltimore,",
"context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.",
"target_sentence": "As she carried the turkey to the dining table, it didn't fall onto the floor.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fell'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
97.88,
100,
99.77,
100
]
} |
1242 | Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it fell onto the floor. | The turkey was not on the floor beforehand. | E | {
"context1": "Bea Gaddy, activist for the homeless, Baltimore,",
"context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.",
"target_sentence": "As she carried the turkey to the dining table, it fell onto the floor.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fell'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
90.85,
100,
100
]
} |
1243-neg | In February 1988, Koehler did not hire Tex, who had asked him for a part-time job. | Tex did not work for Koehler before February 1988. | N | {
"context1": "",
"context2": "",
"target_sentence": "In February 1988, Koehler did not hire Tex, who had asked him for a part-time job.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'hired'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"E",
"N"
],
"ratings": [
99.85,
76.61,
88.33,
100,
85.66
]
} |
1243 | In February 1988, Koehler hired Tex, who had asked him for a part-time job. | Tex did not work for Koehler before February 1988. | E | {
"context1": "",
"context2": "",
"target_sentence": "In February 1988, Koehler hired Tex, who had asked him for a part-time job.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'hired'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
100,
90.93,
78.21,
98.2,
96.98
]
} |
1244-neg | Compassion and faith As is happening on this and other issues, the myth of the evangelical monolith is not being exposed. | The myth of the evangelical monolith was not publicly known before now.. | E | {
"context1": "Compassion and faith",
"context2": "",
"target_sentence": "As is happening on this and other issues, the myth of the evangelical monolith is not being exposed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'exposed'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
86.97,
96.02,
97.3,
100,
97.04
]
} |
1244 | Compassion and faith As is happening on this and other issues, the myth of the evangelical monolith is being exposed. | The myth of the evangelical monolith was not publicly known before now.. | N | {
"context1": "Compassion and faith",
"context2": "",
"target_sentence": "As is happening on this and other issues, the myth of the evangelical monolith is being exposed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'exposed'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
90.33,
100,
65.75,
89.8,
23.77
]
} |
1247 | Because Houston was the 32nd franchise, the owners voted to realign into eight divisions of four teams each for the 2002 season when the Texans would debut. Five years after the Oilers moved to Tennessee, the NFL has returned to Houston. | The NFL not in Houston just before then. | C | {
"context1": "Because Houston was the 32nd franchise, the owners voted to realign into eight divisions of four teams each for the 2002 season when the Texans would debut.",
"context2": "",
"target_sentence": "Five years after the Oilers moved to Tennessee, the NFL has returned to Houston.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'returned'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"C",
"C",
"C",
"C"
],
"ratings": [
100,
0,
0.84,
1.89,
0
]
} |
1248-neg | The Lius decided to return to their home village in Tile County. Grandson left with the family, and our empire collapsed. Since none of us was suited to be an emperor, the throne did not remain unoccupied. | The throne had been unoccupied just before then. | E | {
"context1": "The Lius decided to return to their home village in Tile County.",
"context2": "Grandson left with the family, and our empire collapsed.",
"target_sentence": "Since none of us was suited to be an emperor, the throne did not remain unoccupied.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'remained'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"C",
"E",
"E"
],
"ratings": [
100,
64.47,
0,
100,
100
]
} |
1248 | The Lius decided to return to their home village in Tile County. Grandson left with the family, and our empire collapsed. Since none of us was suited to be an emperor, the throne remained unoccupied. | The throne had been unoccupied just before then. | E | {
"context1": "The Lius decided to return to their home village in Tile County.",
"context2": "Grandson left with the family, and our empire collapsed.",
"target_sentence": "Since none of us was suited to be an emperor, the throne remained unoccupied.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'remained'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
88.23,
99.19,
99.77,
97.4,
100
]
} |
125-neg | Ms DEVORE: I won't keep driving it as long as it runs. | I was driving it earlier. | E | {
"context1": "Ms",
"context2": "DEVORE:",
"target_sentence": "I won't keep driving it as long as it runs.",
"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",
"N",
"E",
"E"
],
"ratings": [
90.59,
100,
56.13,
99.16,
100
]
} |
125 | Ms DEVORE: I'll keep driving it as long as it runs. | I was driving it earlier. | E | {
"context1": "Ms",
"context2": "DEVORE:",
"target_sentence": "I'll keep driving it as long as it runs.",
"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": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
95.53,
100,
97.93,
11.96,
99.62
]
} |
1250-neg | "Do better." "I'm ready when you are," Iris said. The Outlaw doesn't close at ten, and I'm ordering salmon. | The Outlaw is open before ten. | E | {
"context1": "\"Do better.\"",
"context2": "\"I'm ready when you are,\" Iris said.",
"target_sentence": "The Outlaw doesn't close at ten, and I'm ordering salmon.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'closes'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.98
]
} |
1250 | "Do better." "I'm ready when you are," Iris said. The Outlaw closes at ten, and I'm ordering salmon. | The Outlaw is open before ten. | E | {
"context1": "\"Do better.\"",
"context2": "\"I'm ready when you are,\" Iris said.",
"target_sentence": "The Outlaw closes at ten, and I'm ordering salmon.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'closes'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.54
]
} |
1251-neg | Always moving #Roker's frenetic schedule should be enough to keep the weight off. He has not returned from a last-minute trip to check on Hurricane Ida. | He was on a last-minute trip to check on Hurricane Ida. | E | {
"context1": "",
"context2": "Always moving #Roker's frenetic schedule should be enough to keep the weight off.",
"target_sentence": "He has not returned from a last-minute trip to check on Hurricane Ida.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'returned'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.88,
100,
100,
100,
100
]
} |
1251 | Always moving #Roker's frenetic schedule should be enough to keep the weight off. He has returned from a last-minute trip to check on Hurricane Ida. | He was on a last-minute trip to check on Hurricane Ida. | E | {
"context1": "",
"context2": "Always moving #Roker's frenetic schedule should be enough to keep the weight off.",
"target_sentence": "He has returned from a last-minute trip to check on Hurricane Ida.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'returned'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.46,
100,
99.64,
100
]
} |
1252-neg | So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton? Several original cast members are not leaving next week. | Several original cast members are in the show currently. | E | {
"context1": "",
"context2": "So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton?",
"target_sentence": "Several original cast members are not leaving next week.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'leaving'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"N"
],
"ratings": [
95.27,
99.9,
87.07,
97.19,
54.05
]
} |
1252 | So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton? Several original cast members are leaving next week. | Several original cast members are in the show currently. | E | {
"context1": "",
"context2": "So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton?",
"target_sentence": "Several original cast members are leaving next week.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'leaving'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.43,
100,
98.07,
100
]
} |
1253-neg | P251 Morales gave the pilot directions, frequently consulting from a folded-up map. They did not leave the railroad track and picked up a narrow highway running more or less east-west. | The were on the railroad track just before then. | N | {
"context1": "",
"context2": "P251 Morales gave the pilot directions, frequently consulting from a folded-up map.",
"target_sentence": "They did not leave the railroad track and picked up a narrow highway running more or less east-west.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"E"
],
"ratings": [
100,
67.85,
81.29,
14.86,
100
]
} |
1253 | P251 Morales gave the pilot directions, frequently consulting from a folded-up map. They left the railroad track and picked up a narrow highway running more or less east-west. | The were on the railroad track just before then. | E | {
"context1": "",
"context2": "P251 Morales gave the pilot directions, frequently consulting from a folded-up map.",
"target_sentence": "They left the railroad track and picked up a narrow highway running more or less east-west.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'left'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"C",
"E",
"E",
"E"
],
"ratings": [
91.6,
0,
100,
98.11,
99.51
]
} |
1254-neg | I think this area has been long overlooked. Highly qualified teachers do not leave to obtain a higher rate of pay in an urban school or another type of job. | Highly qualified teachers are working there. | N | {
"context1": "",
"context2": "I think this area has been long overlooked.",
"target_sentence": "Highly qualified teachers do not leave to obtain a higher rate of pay in an urban school or another type of job.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'leave'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
94.47,
96.93,
100,
5.53,
97.25
]
} |
1254 | I think this area has been long overlooked. Highly qualified teachers leave to obtain a higher rate of pay in an urban school or another type of job. | Highly qualified teachers are working there. | N | {
"context1": "",
"context2": "I think this area has been long overlooked.",
"target_sentence": "Highly qualified teachers leave to obtain a higher rate of pay in an urban school or another type of job.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'leave'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"N",
"N"
],
"ratings": [
96.43,
15.28,
100,
22.65,
22.03
]
} |
126-neg | Let's get it over with. " He didn't begin climbing the fence using his fingers and toes for grips. | He wasn't climbing the fence using his fingers and toes for grips before. | N | {
"context1": "",
"context2": "Let's get it over with. \"",
"target_sentence": "He didn't begin climbing the fence using his fingers and toes for grips.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
51.5,
89.98,
77.1,
98.37,
72.08
]
} |
126 | Let's get it over with. " He began climbing the fence using his fingers and toes for grips. | He wasn't climbing the fence using his fingers and toes for grips before. | C | {
"context1": "",
"context2": "Let's get it over with. \"",
"target_sentence": "He began climbing the fence using his fingers and toes for grips.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"C",
"C",
"C",
"N",
"E"
],
"ratings": [
0,
0.25,
0,
2.26,
100
]
} |
1260-neg | She turned her head now to the gathered crowd, confused, scoffing, worried. " It didn't cost much. As the wealthy all departed for their virtual paradise, the economy didn't collapse, and we had to take whatever work was left. | The economy was functioning beforehand. | N | {
"context1": "She turned her head now to the gathered crowd, confused, scoffing, worried.",
"context2": "\" It didn't cost much.",
"target_sentence": "As the wealthy all departed for their virtual paradise, the economy didn't collapse, and we had to take whatever work was left.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'collapsed'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
64.9,
100,
74.44,
100,
72.74
]
} |
1260 | She turned her head now to the gathered crowd, confused, scoffing, worried. " It didn't cost much. As the wealthy all departed for their virtual paradise, the economy collapsed, and we had to take whatever work was left. | The economy was functioning beforehand. | E | {
"context1": "She turned her head now to the gathered crowd, confused, scoffing, worried.",
"context2": "\" It didn't cost much.",
"target_sentence": "As the wealthy all departed for their virtual paradise, the economy collapsed, and we had to take whatever work was left.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'collapsed'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"N",
"E"
],
"ratings": [
97.93,
92.56,
98.2,
92.79,
100
]
} |
1261-neg | He asked Kushal to identify himself. "Did you make this message?" The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared. | The captain's hand was closed before. | E | {
"context1": "He asked Kushal to identify himself.",
"context2": "\"Did you make this message?\"",
"target_sentence": "The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'opened'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.06
]
} |
1261 | He asked Kushal to identify himself. "Did you make this message?" The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared. | The captain's hand was closed before. | E | {
"context1": "He asked Kushal to identify himself.",
"context2": "\"Did you make this message?\"",
"target_sentence": "The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'opened'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.79,
99.87,
100,
100,
89.71
]
} |
1262-neg | He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse. | He had several million dollars earlier. | E | {
"context1": "He's terminated this year.",
"context2": "That means the rest of his contract gets thrown out the door.",
"target_sentence": "In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
88.61,
38.27,
100,
100,
100
]
} |
1262 | He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse. | He had several million dollars earlier. | E | {
"context1": "He's terminated this year.",
"context2": "That means the rest of his contract gets thrown out the door.",
"target_sentence": "In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
50.15,
100,
100
]
} |
1264-neg | I didn't open the books. | The books were closed before. | E | {
"context1": "",
"context2": "",
"target_sentence": "I didn't open the books.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'opened'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
91.43,
96.54,
100
]
} |
1264 | I opened the books. | The books were closed before. | E | {
"context1": "",
"context2": "",
"target_sentence": "I opened the books.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'opened'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1265-neg | She hit you with one of my stiletto heels--again and again. She didn't break my best pair of shoes. | My shoes were not broken before. | E | {
"context1": "",
"context2": "She hit you with one of my stiletto heels--again and again.",
"target_sentence": "She didn't break my best pair of shoes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'broke'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.95,
100,
99.02,
100,
100
]
} |
1265 | She hit you with one of my stiletto heels--again and again. She broke my best pair of shoes. | My shoes were not broken before. | E | {
"context1": "",
"context2": "She hit you with one of my stiletto heels--again and again.",
"target_sentence": "She broke my best pair of shoes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'broke'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
97.25,
100,
100,
96.37,
96.66
]
} |
1272-neg | 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. Do not run two large, memory-consuming programs at once. Otherwise your system may not freeze. | Your system is not frozen. | N | {
"context1": "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.",
"context2": "Do not run two large, memory-consuming programs at once.",
"target_sentence": "Otherwise your system may not freeze.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'freeze'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"C",
"N",
"E"
],
"ratings": [
74.83,
49.1,
0,
81.29,
98.5
]
} |
1272 | 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. Do not run two large, memory-consuming programs at once. Otherwise your system may freeze. | Your system is not frozen. | E | {
"context1": "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.",
"context2": "Do not run two large, memory-consuming programs at once.",
"target_sentence": "Otherwise your system may freeze.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'freeze'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
98.69,
100,
100,
94.54,
96.37
]
} |
1273 | He was contemplating calling Bern to ask her opinion when he saw the Burwell Boys Moving truck turn in to the driveway, sending gravel flying into the peony beds. A hollyhock went flying like a spear. Low-hanging tree limbs snapped off. | Low-hanging tree limbs were attached before. | E | {
"context1": "He was contemplating calling Bern to ask her opinion when he saw the Burwell Boys Moving truck turn in to the driveway, sending gravel flying into the peony beds.",
"context2": "A hollyhock went flying like a spear.",
"target_sentence": "Low-hanging tree limbs snapped off.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'snapped'}",
"trigger_type": "change_of_state",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
48.8,
100,
100
]
} |
1275-neg | You alluded at the beginning of the show to the physical danger. This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was not actually his father, King George V, who ordered him to stop. | Someone ordered him to stop steeple chasing. | E | {
"context1": "You alluded at the beginning of the show to the physical danger.",
"context2": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.",
"target_sentence": "His passion was steeple chasing, and it was not actually his father, King George V, who ordered him to stop.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
93.02,
100
]
} |
1275 | You alluded at the beginning of the show to the physical danger. This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop. | Someone ordered him to stop steeple chasing. | E | {
"context1": "You alluded at the beginning of the show to the physical danger.",
"context2": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.",
"target_sentence": "His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
98.69,
100,
100,
100
]
} |
1277-neg | In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese. What we are watching is a twice yearly phenomenon of migration. Other creatures migrate--animals and even insects, but it is not birds that are the main attraction. | Something is the main attraction. | E | {
"context1": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese.",
"context2": "What we are watching is a twice yearly phenomenon of migration.",
"target_sentence": "Other creatures migrate--animals and even insects, but it is not birds that are the main attraction.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"N",
"E"
],
"ratings": [
99.25,
35.39,
94.68,
61.15,
100
]
} |
1277 | In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese. What we are watching is a twice yearly phenomenon of migration. Other creatures migrate--animals and even insects, but it is birds that are the main attraction. | Something is the main attraction. | E | {
"context1": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese.",
"context2": "What we are watching is a twice yearly phenomenon of migration.",
"target_sentence": "Other creatures migrate--animals and even insects, but it is birds that are the main attraction.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.81,
100,
100,
100,
100
]
} |
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