uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
---|---|---|---|---|
219 | Still no satellite link-up, but joining us now live via telephone from Manila is Raul Manglapus, the foreign minister of the Philippines. Mr. Foreign Minister, I think you've been able to listen to the discussion. | The foreign minister has been able to listen to the discussion | E | {
"context1": "Still no satellite link-up, but joining us now live via telephone from Manila",
"context2": "is Raul Manglapus, the foreign minister of the Philippines.",
"target_sentence": "Mr. Foreign Minister, I think you've been able to listen to the discussion.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': \"you ' ve been able to listen to the discussion\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
98.5,
94.26,
100,
72.08,
91.68
]
} |
2191-neg | An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit. Drinking three glasses a day would be the equivalent of eating 12 strips of bacon. If you enjoy milk, low-fat and skim aren't better choices than whole milk. | Whole milk is a choice. | E | {
"context1": "An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit.",
"context2": "Drinking three glasses a day would be the equivalent of eating 12 strips of bacon.",
"target_sentence": "If you enjoy milk, low-fat and skim aren't better choices than whole milk.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'choices'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
98.5,
100
]
} |
2191 | An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit. Drinking three glasses a day would be the equivalent of eating 12 strips of bacon. If you enjoy milk, low-fat and skim are better choices than whole milk. | Whole milk is a choice. | E | {
"context1": "An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit.",
"context2": "Drinking three glasses a day would be the equivalent of eating 12 strips of bacon.",
"target_sentence": "If you enjoy milk, low-fat and skim are better choices than whole milk.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'choices'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
92.95,
100,
99.25,
100,
100
]
} |
2195-neg | It could get her into a lot of trouble and by association, him, too. CHAPTER 2 Animals are lower life-forms than humans. | Humans are life-forms. | E | {
"context1": "It could get her into a lot of trouble and by association, him, too.",
"context2": "CHAPTER 2",
"target_sentence": "Animals are lower life-forms than humans.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'lower', 'noun': 'forms'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
97.3
]
} |
2195 | It could get her into a lot of trouble and by association, him, too. CHAPTER 2 Animals are not lower life-forms than humans. | Humans are life-forms. | E | {
"context1": "It could get her into a lot of trouble and by association, him, too.",
"context2": "CHAPTER 2",
"target_sentence": "Animals are not lower life-forms than humans.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'lower', 'noun': 'forms'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2196-neg | RUSSERT: Why? MR BRADLEY: I think that there are not more important things that we need in the country now than this size of tax cut. | A tax cut of this size is a thing that we need in the country now. | E | {
"context1": "RUSSERT:",
"context2": "Why? MR",
"target_sentence": "BRADLEY: I think that there are not more important things that we need in the country now than this size of tax cut.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'things'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.74,
100,
100,
99.95,
100
]
} |
2196 | RUSSERT: Why? MR BRADLEY: I think that there are more important things that we need in the country now than this size of tax cut. | A tax cut of this size is a thing that we need in the country now. | N | {
"context1": "RUSSERT:",
"context2": "Why? MR",
"target_sentence": "BRADLEY: I think that there are more important things that we need in the country now than this size of tax cut.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'important', 'noun': 'things'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"C",
"N",
"N",
"C"
],
"ratings": [
3.29,
1.89,
55.39,
46.55,
0.69
]
} |
2198-neg | but at least it is moving in the right direction. Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years. Renewables aren't lower-grade energy sources than fusion, another trend in its favour. | Fusion is an energy source. | E | {
"context1": "but at least it is moving in the right direction.",
"context2": "Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years.",
"target_sentence": "Renewables aren't lower-grade energy sources than fusion, another trend in its favour.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'lower', 'noun': 'sources'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
74.57,
100,
100,
100,
100
]
} |
2198 | but at least it is moving in the right direction. Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years. Renewables are lower-grade energy sources than fusion, another trend in its favour. | Fusion is an energy source. | E | {
"context1": "but at least it is moving in the right direction.",
"context2": "Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years.",
"target_sentence": "Renewables are lower-grade energy sources than fusion, another trend in its favour.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'lower', 'noun': 'sources'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
94.94,
100,
100,
100
]
} |
22-neg | The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said. Grubbs' children hadn't lost their second parent in four years. | Grubbs' children had had a second parent before then. | E | {
"context1": "The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said.",
"context2": "",
"target_sentence": "Grubbs' children hadn't lost their second parent in four years.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
61.15,
100,
100,
88.42,
97.3
]
} |
22 | The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said. Grubbs' children had lost their second parent in four years. | Grubbs' children had had a second parent before then. | E | {
"context1": "The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said.",
"context2": "",
"target_sentence": "Grubbs' children had lost their second parent in four years.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
95.59,
100,
100,
100
]
} |
2200-neg | On the positive side, participation, creativity, fiscal responsibility, and change of political style have not proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism. | The old systems of regional claims, entitlements, patrimonialism, and clientelism are solutions. | E | {
"context1": "",
"context2": "",
"target_sentence": "On the positive side, participation, creativity, fiscal responsibility, and change of political style have not proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'effective', 'noun': 'solutions'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"C",
"N"
],
"ratings": [
99.59,
99.02,
100,
0,
81.75
]
} |
2200 | On the positive side, participation, creativity, fiscal responsibility, and change of political style have proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism. | The old systems of regional claims, entitlements, patrimonialism, and clientelism are solutions. | E | {
"context1": "",
"context2": "",
"target_sentence": "On the positive side, participation, creativity, fiscal responsibility, and change of political style have proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'effective', 'noun': 'solutions'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"C",
"E"
],
"ratings": [
99.31,
100,
20.7,
0,
100
]
} |
2203-neg | I gasp quietly. May 16 The dynamics don't keep shifting and changing. | The dynamics have previously been shifting and changing. | E | {
"context1": "I gasp quietly.",
"context2": "May 16",
"target_sentence": "The dynamics don't keep shifting and changing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"C",
"N"
],
"ratings": [
100,
100,
100,
0,
6.6
]
} |
2203 | I gasp quietly. May 16 The dynamics keep shifting and changing. | The dynamics have previously been shifting and changing. | E | {
"context1": "I gasp quietly.",
"context2": "May 16",
"target_sentence": "The dynamics keep shifting and changing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
95.14,
100
]
} |
2204-neg | I can do the hokey-pokey. RATHER:...Charlie makes dramatic progress. Mr-HINCE: I didn't start to play with my band again. | I used to play with my band. | E | {
"context1": "I can do the hokey-pokey.",
"context2": "RATHER:...Charlie makes dramatic progress.",
"target_sentence": "Mr-HINCE: I didn't start to play with my band again.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
99.34,
98.92,
100,
70.19,
95.9
]
} |
2204 | I can do the hokey-pokey. RATHER:...Charlie makes dramatic progress. Mr-HINCE: I started to play with my band again. | I used to play with my band. | E | {
"context1": "I can do the hokey-pokey.",
"context2": "RATHER:...Charlie makes dramatic progress.",
"target_sentence": "Mr-HINCE: I started to play with my band again.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
100,
84.82,
99.25,
100,
48.95
]
} |
2205-neg | He didn't start walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him. | He wasn't walking towards the Avenue of the Americas previously. | E | {
"context1": "",
"context2": "",
"target_sentence": "He didn't start walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"C",
"E"
],
"ratings": [
100,
21.54,
99.16,
0,
100
]
} |
2205 | He started walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him. | He wasn't walking towards the Avenue of the Americas previously. | E | {
"context1": "",
"context2": "",
"target_sentence": "He started walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"C"
],
"ratings": [
100,
100,
92.32,
73.27,
0.03
]
} |
2208-neg | On the ice: The defending champions likely cannot continue winning as long as they care to continue competing. | The defending champions have been winning. | E | {
"context1": "",
"context2": "",
"target_sentence": "On the ice: The defending champions likely cannot continue winning as long as they care to continue competing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continue'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
94.33,
91.35,
98.33,
89.62,
82.99
]
} |
2208 | On the ice: The defending champions likely can continue winning as long as they care to continue competing. | The defending champions have been winning. | E | {
"context1": "",
"context2": "",
"target_sentence": "On the ice: The defending champions likely can continue winning as long as they care to continue competing.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continue'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.54,
100,
100,
100,
99.57
]
} |
2209-neg | Ms. Barron, 44, did not begin receiving $435 in cash and food stamps for the children's support. | Ms. Barron wasn't previously receiving $435 in cash and food stamps for the children's support. | E | {
"context1": "",
"context2": "",
"target_sentence": "Ms. Barron, 44, did not begin receiving $435 in cash and food stamps for the children's support.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"C",
"E"
],
"ratings": [
81.86,
99.85,
98.29,
1.89,
98.88
]
} |
2209 | Ms. Barron, 44, began receiving $435 in cash and food stamps for the children's support. | Ms. Barron wasn't previously receiving $435 in cash and food stamps for the children's support. | E | {
"context1": "",
"context2": "",
"target_sentence": "Ms. Barron, 44, began receiving $435 in cash and food stamps for the children's support.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
88.23,
100,
97.04,
100,
100
]
} |
2211-neg | He moaned, " Oh, man. It hurts. And my wife hasn't stopped gurgling." | His wife had been gurgling. | E | {
"context1": "He moaned, \" Oh, man.",
"context2": "It hurts.",
"target_sentence": "And my wife hasn't stopped gurgling.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
85.66,
99.64,
100,
100
]
} |
2211 | He moaned, " Oh, man. It hurts. And my wife has stopped gurgling." | His wife had been gurgling. | E | {
"context1": "He moaned, \" Oh, man.",
"context2": "It hurts.",
"target_sentence": "And my wife has stopped gurgling.\"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2212-neg | Bush had an eye exam this afternoon at Bethesda Naval Hospital. It was done as a follow-up to last month's diagnosis of an early form of glaucoma. The President did not begin using daily eye drops after the problem was discovered during his annual physical exam. | Bush had not been using daily eye drops before the discovery of the problem. | E | {
"context1": "Bush had an eye exam this afternoon at Bethesda Naval Hospital.",
"context2": "It was done as a follow-up to last month's diagnosis of an early form of glaucoma.",
"target_sentence": "The President did not begin using daily eye drops after the problem was discovered during his annual physical exam.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
96.37,
7.05,
98.54,
100
]
} |
2212 | Bush had an eye exam this afternoon at Bethesda Naval Hospital. It was done as a follow-up to last month's diagnosis of an early form of glaucoma. The President began using daily eye drops after the problem was discovered during his annual physical exam. | Bush had not been using daily eye drops before the discovery of the problem. | E | {
"context1": "Bush had an eye exam this afternoon at Bethesda Naval Hospital.",
"context2": "It was done as a follow-up to last month's diagnosis of an early form of glaucoma.",
"target_sentence": "The President began using daily eye drops after the problem was discovered during his annual physical exam.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.73,
100,
100,
100,
99.98
]
} |
2213-neg | It is no wonder that the emigration from Illinois continues. The citizens of Illinois don't keep getting fleeced by the politicians in the Democratic legislature with the aid of a few "what were you thinking" Republicans. | The citizens of Illinois were previously getting fleeced by the politicians in the Democratic legislature. | N | {
"context1": "",
"context2": "It is no wonder that the emigration from Illinois continues.",
"target_sentence": "The citizens of Illinois don't keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"E",
"C"
],
"ratings": [
3.4,
85.66,
83.43,
100,
1.35
]
} |
2213 | It is no wonder that the emigration from Illinois continues. The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few "what were you thinking" Republicans. | The citizens of Illinois were previously getting fleeced by the politicians in the Democratic legislature. | E | {
"context1": "",
"context2": "It is no wonder that the emigration from Illinois continues.",
"target_sentence": "The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keep'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
95.14,
95.77,
100,
89.62,
99.62
]
} |
2214-neg | Elle doesn't keep going, not even noticing him. | Elle was previously going. | E | {
"context1": "",
"context2": "",
"target_sentence": "Elle doesn't keep going, not even noticing him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keeps'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
96.02,
99.62,
95.96,
50.3,
100
]
} |
2214 | Elle keeps going, not even noticing him. | Elle was previously going. | E | {
"context1": "",
"context2": "",
"target_sentence": "Elle keeps going, not even noticing him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'keeps'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
96.25,
89.35,
99.91
]
} |
2215-neg | At the close of every letter each declared how he yearned to see the other. In the fullness of time both poets, despite the difference in their styles, became famous. Word of their letters didn't begin to get around. | Word of their letters was not previously getting around. | E | {
"context1": "At the close of every letter each declared how he yearned to see the other.",
"context2": "In the fullness of time both poets, despite the difference in their styles, became famous.",
"target_sentence": "Word of their letters didn't begin to get around.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
76.61,
95.9,
98.54,
100
]
} |
2215 | At the close of every letter each declared how he yearned to see the other. In the fullness of time both poets, despite the difference in their styles, became famous. Word of their letters began to get around. | Word of their letters was not previously getting around. | E | {
"context1": "At the close of every letter each declared how he yearned to see the other.",
"context2": "In the fullness of time both poets, despite the difference in their styles, became famous.",
"target_sentence": "Word of their letters began to get around.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.79,
77.72,
100,
100,
98.02
]
} |
2216-neg | Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ. His lectures were disrupted for years afterward, and his name became publicly synonymous with racism. And Jensen's scientific output did not continue to shape the field. | Jensen's scientific output had previously been shaping the field. | E | {
"context1": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ.",
"context2": "His lectures were disrupted for years afterward, and his name became publicly synonymous with racism.",
"target_sentence": "And Jensen's scientific output did not continue to shape the field.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.25,
99.62,
97.55,
100,
100
]
} |
2216 | Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ. His lectures were disrupted for years afterward, and his name became publicly synonymous with racism. And Jensen's scientific output continued to shape the field. | Jensen's scientific output had previously been shaping the field. | E | {
"context1": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ.",
"context2": "His lectures were disrupted for years afterward, and his name became publicly synonymous with racism.",
"target_sentence": "And Jensen's scientific output continued to shape the field.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"N"
],
"ratings": [
90.59,
100,
99.88,
96.93,
59.98
]
} |
2217-neg | She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break. With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress. Even as she draped the blanket over her, Lily did not begin to stir. | Lily had not been stirring before having the blanket draped over her. | E | {
"context1": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break.",
"context2": "With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress.",
"target_sentence": "Even as she draped the blanket over her, Lily did not begin to stir.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
88.52,
100,
100,
100,
99.49
]
} |
2217 | She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break. With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress. Even as she draped the blanket over her, Lily began to stir. | Lily had not been stirring before having the blanket draped over her. | E | {
"context1": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break.",
"context2": "With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress.",
"target_sentence": "Even as she draped the blanket over her, Lily began to stir.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"N",
"E"
],
"ratings": [
96.66,
80.13,
100,
91.93,
99.46
]
} |
2220-neg | Not everyone had everything. We always had something in surplus, and we always needed something that the other person had. Thus, we didn't start exchanging our surplus assets for what we needed. | We had not previously been exchanging our surplus assets for what we needed. | E | {
"context1": "Not everyone had everything.",
"context2": "We always had something in surplus, and we always needed something that the other person had.",
"target_sentence": "Thus, we didn't start exchanging our surplus assets for what we needed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.73,
33.26,
98.73,
99.71,
96.37
]
} |
2220 | Not everyone had everything. We always had something in surplus, and we always needed something that the other person had. Thus, we started exchanging our surplus assets for what we needed. | We had not previously been exchanging our surplus assets for what we needed. | E | {
"context1": "Not everyone had everything.",
"context2": "We always had something in surplus, and we always needed something that the other person had.",
"target_sentence": "Thus, we started exchanging our surplus assets for what we needed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"C"
],
"ratings": [
99.4,
100,
100,
100,
0
]
} |
2221-neg | Eventually, Emory acquired enough "moving violations" to lose his license and had to attend traffic school on Saturday mornings to get it back. It was a blow and we took it lying down. I didn't stop casting about in my mind for some agency or authority that would right these wrongs. | I had been casting about in my mind for some agency or authority that would right these wrongs. | E | {
"context1": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back.",
"context2": "It was a blow and we took it lying down.",
"target_sentence": "I didn't stop casting about in my mind for some agency or authority that would right these wrongs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.9,
100,
100
]
} |
2221 | Eventually, Emory acquired enough "moving violations" to lose his license and had to attend traffic school on Saturday mornings to get it back. It was a blow and we took it lying down. I'd stopped casting about in my mind for some agency or authority that would right these wrongs. | I had been casting about in my mind for some agency or authority that would right these wrongs. | E | {
"context1": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back.",
"context2": "It was a blow and we took it lying down.",
"target_sentence": "I'd stopped casting about in my mind for some agency or authority that would right these wrongs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
93.69,
99.28,
10.74,
100,
99.64
]
} |
2224 | Yes, that's what Jim Thompson told me. He just lay there and held her and he kept saying, somebody help me, even after they were on shore | he had been saying "somebody help me" | E | {
"context1": "Yes, that's what Jim Thompson told me.",
"context2": "He just lay there and held her",
"target_sentence": "and he kept saying, somebody help me, even after they were on shore",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'kept'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.02,
100
]
} |
2225-neg | Of the twenty-five nims he planted, only three survived. Sultan didn't continue planting new ones. | Sultan had been planting nims. | E | {
"context1": "",
"context2": "Of the twenty-five nims he planted, only three survived.",
"target_sentence": "Sultan didn't continue planting new ones.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.62,
98.99,
99.75,
97.14,
100
]
} |
2225 | Of the twenty-five nims he planted, only three survived. Sultan continued planting new ones. | Sultan had been planting nims. | E | {
"context1": "",
"context2": "Of the twenty-five nims he planted, only three survived.",
"target_sentence": "Sultan continued planting new ones.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2227-neg | What could you do that would be anyways near enough? I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one. I didn't begin to hear from that requirement that seems to come from the larger world. | I hadn't been hearing from that requirement that seems to come from the larger world. | E | {
"context1": "What could you do that would be anyways near enough?",
"context2": "I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one.",
"target_sentence": "I didn't begin to hear from that requirement that seems to come from the larger world.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
81.86,
100,
90.06,
100,
99.12
]
} |
2227 | What could you do that would be anyways near enough? I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one. I began to hear from that requirement that seems to come from the larger world. | I hadn't been hearing from that requirement that seems to come from the larger world. | N | {
"context1": "What could you do that would be anyways near enough?",
"context2": "I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one.",
"target_sentence": "I began to hear from that requirement that seems to come from the larger world.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"C",
"N",
"N",
"N"
],
"ratings": [
88.33,
0,
89.44,
88.04,
69.51
]
} |
2228-neg | DARZNIK: That's right. She didn't start to record a series of cassette tapes in her house. | She had not been recording a series of cassette tapes in her house. | E | {
"context1": "DARZNIK:",
"context2": "That's right.",
"target_sentence": "She didn't start to record a series of cassette tapes in her house.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
96.93,
100,
100,
100,
100
]
} |
2228 | DARZNIK: That's right. She started to record a series of cassette tapes in her house. | She had not been recording a series of cassette tapes in her house. | C | {
"context1": "DARZNIK:",
"context2": "That's right.",
"target_sentence": "She started to record a series of cassette tapes in her house.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"C",
"E",
"C",
"C",
"E"
],
"ratings": [
0.63,
100,
0.23,
0,
94.61
]
} |
2229-neg | RICHARD LAWSON: And I can't move and I didn't begin to try to accept this process of being in the water and drowning. | I hadn't previously tried to accept the process of being in the water and drowning. | E | {
"context1": "RICHARD LAWSON:",
"context2": "And I can't move",
"target_sentence": "and I didn't begin to try to accept this process of being in the water and drowning.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"C",
"E",
"E",
"E",
"N"
],
"ratings": [
0,
100,
100,
96.2,
83.21
]
} |
2229 | RICHARD LAWSON: And I can't move and I began to try to accept this process of being in the water and drowning. | I hadn't previously tried to accept the process of being in the water and drowning. | E | {
"context1": "RICHARD LAWSON:",
"context2": "And I can't move",
"target_sentence": "and I began to try to accept this process of being in the water and drowning.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
91.35,
100,
100,
99.16
]
} |
223-neg | A daunting custody case is playing out in Virginia this morning. Last week, authorities didn't confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago. | two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago. | E | {
"context1": "",
"context2": "A daunting custody case is playing out in Virginia this morning.",
"target_sentence": "Last week, authorities didn't confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'confirmed', 'embedded_clause': 'that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
94.4,
18.14,
89.8,
100,
29.94
]
} |
223 | A daunting custody case is playing out in Virginia this morning. Last week, authorities confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago. | two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago. | E | {
"context1": "",
"context2": "A daunting custody case is playing out in Virginia this morning.",
"target_sentence": "Last week, authorities confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'confirmed', 'embedded_clause': 'that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
92.17,
100
]
} |
2232-neg | How many people who flying on commercial jetliners can know that about their pilots? KNOTTS: Well, the-like I said, we aren't just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring. | We weren't previously offering this training. | N | {
"context1": "How many people who flying on commercial jetliners can know that about their pilots?",
"context2": "KNOTTS:",
"target_sentence": "Well, the-like I said, we aren't just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starting'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"C"
],
"ratings": [
21.54,
5.81,
85.24,
51.5,
1.38
]
} |
2232 | How many people who flying on commercial jetliners can know that about their pilots? KNOTTS: Well, the-like I said, we are just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring. | We weren't previously offering this training. | E | {
"context1": "How many people who flying on commercial jetliners can know that about their pilots?",
"context2": "KNOTTS:",
"target_sentence": "Well, the-like I said, we are just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starting'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
96.31,
100,
100,
99.79,
100
]
} |
2233-neg | Marty floated a milk carton boat. We stood on the porch and stared at our lakefront view. My brother didn't begin rolling up his pants' legs. | My brother hadn't been rolling up his pants' legs. | E | {
"context1": "Marty floated a milk carton boat.",
"context2": "We stood on the porch and stared at our lakefront view.",
"target_sentence": "My brother didn't begin rolling up his pants' legs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
93.1,
100,
100,
71.95,
100
]
} |
2233 | Marty floated a milk carton boat. We stood on the porch and stared at our lakefront view. My brother began rolling up his pants' legs. | My brother hadn't been rolling up his pants' legs. | E | {
"context1": "Marty floated a milk carton boat.",
"context2": "We stood on the porch and stared at our lakefront view.",
"target_sentence": "My brother began rolling up his pants' legs.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.2,
100,
100,
100,
98.16
]
} |
2235-neg | As the Lac du Flambeau band joined the procession, our men didn't begin to drum. | Our men hadn't been drumming before. | E | {
"context1": "",
"context2": "",
"target_sentence": "As the Lac du Flambeau band joined the procession, our men didn't begin to drum.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
60.71,
99.88,
100,
48.65,
99.43
]
} |
2235 | As the Lac du Flambeau band joined the procession, our men began to drum. | Our men hadn't been drumming before. | E | {
"context1": "",
"context2": "",
"target_sentence": "As the Lac du Flambeau band joined the procession, our men began to drum.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
95.96,
100,
100,
98.99
]
} |
2236-neg | It wasn't no love, either. It was Kester French, drunk. He's forced other girls, too, and the town doesn't know what he does, but... | Kester French does something. | E | {
"context1": "It wasn't no love, either.",
"context2": "It was Kester French, drunk.",
"target_sentence": "He's forced other girls, too, and the town doesn't know what he does, but...",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'knows', 'embedded_question': 'what he does'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
99.81,
76.86,
97.04,
100,
100
]
} |
2236 | It wasn't no love, either. It was Kester French, drunk. He's forced other girls, too, and the town knows what he does, but... | Kester French does something. | E | {
"context1": "It wasn't no love, either.",
"context2": "It was Kester French, drunk.",
"target_sentence": "He's forced other girls, too, and the town knows what he does, but...",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'knows', 'embedded_question': 'what he does'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.66,
90.93,
99.46
]
} |
2239-neg | " The fun part of the show is you know what's going to come, " says Christopher Hartop, a silver appraiser from Christie's in New York. | Something is coing to come. | E | {
"context1": "",
"context2": "\" The fun part of the show is",
"target_sentence": "you know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': \"what 's going to come\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
89.71,
100,
95.14,
92.79,
100
]
} |
2239 | " The fun part of the show is you never know what's going to come, " says Christopher Hartop, a silver appraiser from Christie's in New York. | Something is coing to come. | E | {
"context1": "",
"context2": "\" The fun part of the show is",
"target_sentence": "you never know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': \"what 's going to come\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
92.17,
75.47,
100,
100,
100
]
} |
224 | By comparison, all four of the "peer" institutions used by the Colorado Department of Higher Education to compare state-funding levels are run by presidents who worked as faculty members or college administrators before they got the job. // Benson's plan of action // Benson said that, as president, he would spend 25 percent of his time managing the four-campus system and 75 percent "outside" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. // | as president, Benson would spend 25 percent of his time managing the four-campus system and 75 percent "outside" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. // | E | {
"context1": "By comparison, all four of the \"peer\" institutions used by the Colorado Department of Higher Education to compare state-funding levels are run by presidents who worked as faculty members or college administrators before they got the job. //",
"context2": "Benson's plan of action //",
"target_sentence": "Benson said that, as president, he would spend 25 percent of his time managing the four-campus system and 75 percent \"outside\" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. //",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'said', 'embedded_clause': 'that , as president , he would spend 25 percent of his time managing the four - campus system and 75 percent \" outside \" peddling CU \\'s cause in Washington , D.C. , at the statehouse and in the business community'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
99.16,
98.73,
84.29,
87.56
]
} |
2240-neg | She locked the door. "I don't need to know where you are or that you're safe, while I figure out the reverse spell," she said. | You are somewhere. | E | {
"context1": "",
"context2": "She locked the door.",
"target_sentence": "\"I don't need to know where you are or that you're safe, while I figure out the reverse spell,\" she said.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'where you are'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
100,
78.82
]
} |
2240 | She locked the door. "I need to know where you are and that you're safe, while I figure out the reverse spell," she said. | You are somewhere. | E | {
"context1": "",
"context2": "She locked the door.",
"target_sentence": "\"I need to know where you are and that you're safe, while I figure out the reverse spell,\" she said.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'where you are'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.88,
99.91,
100,
100,
99.54
]
} |
2242-neg | But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror. | The democracies of the world are going to learn that terror is terror. | N | {
"context1": "But I'll be honest with you.",
"context2": "Every time you sit down at night",
"target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"C",
"N",
"N"
],
"ratings": [
93.76,
74.96,
0.88,
50.6,
87.27
]
} |
2242 | But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror. | The democracies of the world are going to learn that terror is terror. | N | {
"context1": "But I'll be honest with you.",
"context2": "Every time you sit down at night",
"target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"E",
"E"
],
"ratings": [
25.3,
49.55,
45.06,
94.33,
99.43
]
} |
2244-neg | BY LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later. He understood how that loss would change him. | The loss of his mother would change Murphy. | E | {
"context1": "BY",
"context2": "LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later.",
"target_sentence": "He understood how that loss would change him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how that loss would change him'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.46,
99.34,
97.04,
100
]
} |
2244 | BY LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later. He didn't understand how that loss would change him. | The loss of his mother would change Murphy. | E | {
"context1": "BY",
"context2": "LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later.",
"target_sentence": "He didn't understand how that loss would change him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'understand', 'embedded_question': 'how that loss would change him'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
98.33,
95.53,
100,
100,
100
]
} |
2245-neg | So she moved back to LA. She got a job with a homecare agency and lived with Stanley again. She didn't wonder what her brother and his wife said about her when they were alone. | Her brother and his wife said things about her when they were alone. | N | {
"context1": "So she moved back to LA.",
"context2": "She got a job with a homecare agency and lived with Stanley again.",
"target_sentence": "She didn't wonder what her brother and his wife said about her when they were alone.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wondered', 'embedded_question': 'what her brother and his wife said about her when they were alone'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
91.35,
99.62,
91.1,
13.03,
50.45
]
} |
2245 | So she moved back to LA. She got a job with a homecare agency and lived with Stanley again. She wondered what her brother and his wife said about her when they were alone. | Her brother and his wife said things about her when they were alone. | N | {
"context1": "So she moved back to LA.",
"context2": "She got a job with a homecare agency and lived with Stanley again.",
"target_sentence": "She wondered what her brother and his wife said about her when they were alone.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wondered', 'embedded_question': 'what her brother and his wife said about her when they were alone'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"N",
"N"
],
"ratings": [
62.89,
74.18,
97.35,
50.9,
90.76
]
} |
2247-neg | "I don't feel so tall," said Evelyn, pointing at an enormous oak tree ahead. I don't remember when I was shorter than the land. | I was once shorter than the land. | E | {
"context1": "\"I don't feel so tall,\" said Evelyn, pointing at an enormous oak tree ahead.",
"context2": "",
"target_sentence": "I don't remember when I was shorter than the land.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'remember', 'embedded_question': 'when I was shorter than the land'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"C",
"E"
],
"ratings": [
75.09,
100,
99.66,
0,
91.6
]
} |
2248-neg | "I consider myself one of the most emotional and passionate Mad River skiers alive," she told me. " But any business has to be able to evolve and adapt, and I don't find myself wondering what makes Mad River unique. | Something makes Mad River unique. | N | {
"context1": "",
"context2": "\"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \"",
"target_sentence": "But any business has to be able to evolve and adapt, and I don't find myself wondering what makes Mad River unique.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wondering', 'embedded_question': 'what makes Mad River unique'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"N",
"N"
],
"ratings": [
19.87,
13.43,
90.59,
45.36,
16.03
]
} |
2248 | "I consider myself one of the most emotional and passionate Mad River skiers alive," she told me. " But any business has to be able to evolve and adapt, and I find myself wondering what makes Mad River unique. | Something makes Mad River unique. | E | {
"context1": "",
"context2": "\"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \"",
"target_sentence": "But any business has to be able to evolve and adapt, and I find myself wondering what makes Mad River unique.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wondering', 'embedded_question': 'what makes Mad River unique'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
81.52,
100,
93.17,
80.83,
100
]
} |
2251-neg | I don't think she would change a thing. Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont. I don't wonder how many people would have shown up if she'd had a long life. | People would have shown up if she'd had a long life. | E | {
"context1": "I don't think she would change a thing.",
"context2": "Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont.",
"target_sentence": "I don't wonder how many people would have shown up if she'd had a long life.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wonder', 'embedded_question': \"how manv people would have shown up il she 'd had a long life\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"C"
],
"ratings": [
100,
100,
50.15,
99.25,
1.84
]
} |
2251 | I don't think she would change a thing. Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont. I wonder how many people would have shown up if she'd had a long life. | People would have shown up if she'd had a long life. | N | {
"context1": "I don't think she would change a thing.",
"context2": "Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont.",
"target_sentence": "I wonder how many people would have shown up if she'd had a long life.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'wonder', 'embedded_question': \"how manv people would have shown up il she 'd had a long life\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"N",
"N"
],
"ratings": [
100,
27.13,
100,
77.85,
93.76
]
} |
2258-neg | but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself. He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends. Later, in private, they would not want to know what was wrong with him. | There was something wrong with him. | E | {
"context1": "but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself.",
"context2": "He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends.",
"target_sentence": "Later, in private, they would not want to know what was wrong with him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what was wrong with him'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
95.14,
80.36,
100,
99.77,
100
]
} |
2258 | but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself. He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends. Later, in private, they would want to know what was wrong with him. | There was something wrong with him. | E | {
"context1": "but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself.",
"context2": "He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends.",
"target_sentence": "Later, in private, they would want to know what was wrong with him.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'what was wrong with him'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
99.57,
99.73,
91.02,
84.61,
99.9
]
} |
226-neg | But I also think it's clear to the Russians that their operation in Chechnya is one of the factors. I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money. I don't think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns. | There are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns. | N | {
"context1": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors.",
"context2": "I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money.",
"target_sentence": "I don't think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'there are also things that you can do , particularly with our European allies in looking at a systems -- assistance programs to Russia and redirecting that money towards humanitarian concerns'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"N",
"E",
"C"
],
"ratings": [
71.81,
19.05,
15.18,
100,
0.49
]
} |
226 | But I also think it's clear to the Russians that their operation in Chechnya is one of the factors. I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money. I think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns. | There are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns. | E | {
"context1": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors.",
"context2": "I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money.",
"target_sentence": "I think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'there are also things that you can do , particularly with our European allies in looking at a systems -- assistance programs to Russia and redirecting that money towards humanitarian concerns'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
67.02,
100,
98.41,
99.77,
100
]
} |
2260-neg | Speaker B: Is that a big theme this year, do you think, among Republican voters?
Speaker A: so. When you don't see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community. | Something is happening on the streets of America and the streets of Europe. | E | {
"context1": "Is that a big theme this year, do you think, among Republican voters?",
"context2": "so.",
"target_sentence": "When you don't see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.",
"speaker_context1": "VAN-SUSTEREN",
"speaker_context2": "MCCONNELL",
"speaker_target": "MCCONNELL",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': \"what 's happening on the streets of America and streets of Europe\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.12,
99.22,
100,
100,
95.01
]
} |
2260 | Speaker B: Is that a big theme this year, do you think, among Republican voters?
Speaker A: so. When you see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community. | Something is happening on the streets of America and the streets of Europe. | E | {
"context1": "Is that a big theme this year, do you think, among Republican voters?",
"context2": "so.",
"target_sentence": "When you see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.",
"speaker_context1": "VAN-SUSTEREN",
"speaker_context2": "MCCONNELL",
"speaker_target": "MCCONNELL",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': \"what 's happening on the streets of America and streets of Europe\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
96.93,
100,
100,
94.4
]
} |
2264-neg | Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities. This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations. Eli Avraham did not describe how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place. | Representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place. | E | {
"context1": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities.",
"context2": "This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations.",
"target_sentence": "Eli Avraham did not describe how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'described', 'embedded_question': 'how representation predominantly affects three groups : the general public , the policymakers , and the inhabitants of that place ( 2000 )'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.57,
99.93,
100,
100,
71.14
]
} |
2264 | Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities. This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations. Eli Avraham described how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place. | Representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place. | E | {
"context1": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities.",
"context2": "This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations.",
"target_sentence": "Eli Avraham described how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'described', 'embedded_question': 'how representation predominantly affects three groups : the general public , the policymakers , and the inhabitants of that place ( 2000 )'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
95.46,
100,
100,
100
]
} |
2266-neg | We do not believe they are at this moment. We'll continue to monitor this. We can hear what Judge Ito's saying. | Judge Ito is saying something | E | {
"context1": "We do not believe they are at this moment.",
"context2": "We'll continue to monitor this.",
"target_sentence": "We can hear what Judge Ito's saying.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'hear', 'embedded_question': \"what Judge Ito 's saying\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.46,
100,
100,
100,
100
]
} |
2266 | We do not believe they are at this moment. We'll continue to monitor this. We can't hear what Judge Ito's saying. | Judge Ito is saying something | E | {
"context1": "We do not believe they are at this moment.",
"context2": "We'll continue to monitor this.",
"target_sentence": "We can't hear what Judge Ito's saying.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'hear', 'embedded_question': \"what Judge Ito 's saying\"}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2269-neg | Front-end rigidity keeps the bike going where you point it, no questions asked. Nothing is perfect, though, not even the Mojo. One ride on a trail frequented by cows and you won't see why the bottom of the down tube is a good place for a battery, not a water bottle. | The bottom of the down tube is a good place for a battery, not a water bottle. | E | {
"context1": "Front-end rigidity keeps the bike going where you point it, no questions asked.",
"context2": "Nothing is perfect, though, not even the Mojo.",
"target_sentence": "One ride on a trail frequented by cows and you won't see why the bottom of the down tube is a good place for a battery, not a water bottle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'why the bottom of the down tube is a good place for a battery , not a water bottle'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
99.75,
100,
78.46,
100,
100
]
} |
2269 | Front-end rigidity keeps the bike going where you point it, no questions asked. Nothing is perfect, though, not even the Mojo. One ride on a trail frequented by cows and you'll see why the bottom of the down tube is a good place for a battery, not a water bottle. | The bottom of the down tube is a good place for a battery, not a water bottle. | E | {
"context1": "Front-end rigidity keeps the bike going where you point it, no questions asked.",
"context2": "Nothing is perfect, though, not even the Mojo.",
"target_sentence": "One ride on a trail frequented by cows and you'll see why the bottom of the down tube is a good place for a battery, not a water bottle.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'see', 'embedded_question': 'why the bottom of the down tube is a good place for a battery , not a water bottle'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
85.66,
100,
100,
100,
100
]
} |
227-neg | And if they were, they're probably gone now? Dr. KISSINGER: And I know that there were some there | There were some there. | E | {
"context1": "And if they were, they're probably gone now?",
"context2": "Dr. KISSINGER:",
"target_sentence": "And I know that there were some there",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'factive': 'know', 'embedded_clause': 'that there were any there'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
99.06,
86.27,
99.12,
100
]
} |
227 | And if they were, they're probably gone now? Dr. KISSINGER: And I don't know that there were any there | There were some there. | N | {
"context1": "And if they were, they're probably gone now?",
"context2": "Dr. KISSINGER:",
"target_sentence": "And I don't know that there were any there",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'factive': 'know', 'embedded_clause': 'that there were any there'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"N",
"E",
"E"
],
"ratings": [
37.4,
36.25,
5.39,
98.99,
99.96
]
} |
2274-neg | Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group. Others got away. We know where they are now. | The immigrants that got away are somewhere. | E | {
"context1": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group.",
"context2": "Others got away.",
"target_sentence": "We know where they are now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are now'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
96.93,
99.37
]
} |
2274 | Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group. Others got away. We don't know where they are now. | The immigrants that got away are somewhere. | E | {
"context1": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group.",
"context2": "Others got away.",
"target_sentence": "We don't know where they are now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are now'}",
"trigger_type": "embedded_question",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.54,
100,
98.16,
100
]
} |
2277-neg | The story began provocatively enough-- "' I don't regret setting bombs,' Bill Ayers said " --but nobody read it. Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history. That means the story was forgotten. | The story was forgotten. | E | {
"context1": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it.",
"context2": "Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history.",
"target_sentence": "That means the story was forgotten.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'factive': 'mean', 'embedded_clause': 'the story was forgotten'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.34,
99.99,
100,
100,
99.85
]
} |
2277 | The story began provocatively enough-- "' I don't regret setting bombs,' Bill Ayers said " --but nobody read it. Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history. That doesn't mean the story was forgotten. | The story was forgotten. | C | {
"context1": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it.",
"context2": "Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history.",
"target_sentence": "That doesn't mean the story was forgotten.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'factive': 'mean', 'embedded_clause': 'the story was forgotten'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"N",
"C",
"C",
"C",
"N"
],
"ratings": [
33.97,
1.12,
0,
0,
29.26
]
} |
228-neg | TILLMAN: Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, and I don't think those are the two main issues for me right now. | those are the two main issues for me right now. | C | {
"context1": "",
"context2": "TILLMAN:",
"target_sentence": "Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, and I don't think those are the two main issues for me right now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'those are the two main issues for me right now'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"C",
"N",
"C",
"C"
],
"ratings": [
98.37,
1.08,
6.24,
0,
0
]
} |
228 | TILLMAN: Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, but I think those are the two main issues for me right now. | those are the two main issues for me right now. | E | {
"context1": "",
"context2": "TILLMAN:",
"target_sentence": "Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, but I think those are the two main issues for me right now.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'those are the two main issues for me right now'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2282 | This is a question that everyone asks in our region. Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb. And many of these neighbors say they'll respond by racing to get nuclear weapons of their own. | Many of these neighbors will respond by racing to get nuclear weapons of their own | N | {
"context1": "This is a question that everyone asks in our region.",
"context2": "Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb.",
"target_sentence": "And many of these neighbors say they'll respond by racing to get nuclear weapons of their own.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'say', 'embedded_clause': \"they 'll respond by racing to get nuclear weapons of their own\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
88.61,
95.08,
76.23,
50.75,
100
]
} |
2285-neg | Trouble with a turnaround < Bove doesn't say Prince inherited a mammoth company with a lot to fix. | Prince inherited a mammoth company with a lot to fix. | N | {
"context1": "Trouble with a turnaround <",
"context2": "",
"target_sentence": "Bove doesn't say Prince inherited a mammoth company with a lot to fix.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'says', 'embedded_clause': 'Prince inherited a mammoth company with a lot to fix'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"C"
],
"ratings": [
90.85,
66.74,
7.83,
5.06,
1.46
]
} |
2285 | Trouble with a turnaround < Bove says Prince inherited a mammoth company with a lot to fix. | Prince inherited a mammoth company with a lot to fix. | E | {
"context1": "Trouble with a turnaround <",
"context2": "",
"target_sentence": "Bove says Prince inherited a mammoth company with a lot to fix.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'says', 'embedded_clause': 'Prince inherited a mammoth company with a lot to fix'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.33,
100,
100,
100,
99.83
]
} |
2288-neg | And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be. More times than not, I don't take the 0% shots. " Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, but he does think he is one. | Bad Brad' Keselowski is NASCAR's villain. | N | {
"context1": "And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be.",
"context2": "More times than not, I don't take the 0% shots. \"",
"target_sentence": "Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, but he does think he is one.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'he is one'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
61.15,
70.19,
92.72,
99.34,
90.93
]
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.