uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
|---|---|---|---|---|
2074 | Sarah tossed back her lustrous ebony mane. " My invitation must have gotten lost in the mail. | My invitation's location was known before going into the mail. | E | {
"context1": "",
"context2": "Sarah tossed back her lustrous ebony mane.",
"target_sentence": "\" My invitation must have gotten lost in the mail.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
95.4,
6.24,
100,
83.86
]
} |
2076-neg | Example: I have had a lease on the west side paying $3 per acre the last three years. I won't lose the lease next year to an east-side guide service paying S10 per acre. | I will have had possession of the lease prior to next year. | E | {
"context1": "",
"context2": "Example: I have had a lease on the west side paying $3 per acre the last three years.",
"target_sentence": "I won't lose the lease next year to an east-side guide service paying S10 per acre.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lose'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
97.45,
100
]
} |
2076 | Example: I have had a lease on the west side paying $3 per acre the last three years. I will lose the lease next year to an east-side guide service paying S10 per acre. | I will have had possession of the lease prior to next year. | E | {
"context1": "",
"context2": "Example: I have had a lease on the west side paying $3 per acre the last three years.",
"target_sentence": "I will lose the lease next year to an east-side guide service paying S10 per acre.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lose'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"C",
"E"
],
"ratings": [
100,
73.01,
99.79,
0,
99.22
]
} |
2077-neg | She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She didn't lose her balance as she stood. | She had her balance previously. | E | {
"context1": "She struggled to get out of the car, wrestling with the seat belt.",
"context2": "The man stepped back as Denise opened the door, using her shoulder.",
"target_sentence": "She didn't lose her balance as she stood.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"N",
"E",
"E"
],
"ratings": [
34.25,
99.37,
86.97,
96.2,
96.14
]
} |
2077 | She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She lost her balance as she stood. | She had her balance previously. | E | {
"context1": "She struggled to get out of the car, wrestling with the seat belt.",
"context2": "The man stepped back as Denise opened the door, using her shoulder.",
"target_sentence": "She lost her balance as she stood.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
98.65
]
} |
2078-neg | LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people didn't win the lottery. | At least 43 people in Roby, Texas entered the lottery. | E | {
"context1": "LYDEN-HOST:",
"context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?",
"target_sentence": "Well, in Roby, Texas population 616, 43 towns people didn't win the lottery.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'win'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
83.21,
100,
100,
96.14,
98.54
]
} |
2078 | LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people did win the lottery. | At least 43 people in Roby, Texas entered the lottery. | E | {
"context1": "LYDEN-HOST:",
"context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?",
"target_sentence": "Well, in Roby, Texas population 616, 43 towns people did win the lottery.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'win'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.88,
100,
100,
99.94
]
} |
2079-neg | Ben doesn't arrive looking for Vitti. | Ben wasn't here previously. | N | {
"context1": "",
"context2": "",
"target_sentence": "Ben doesn't arrive looking for Vitti.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'arrives'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
49.55,
31.04,
91.35,
20.82,
100
]
} |
2079 | Ben arrives looking for Vitti. | Ben wasn't here previously. | E | {
"context1": "",
"context2": "",
"target_sentence": "Ben arrives looking for Vitti.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'arrives'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"C",
"E",
"E"
],
"ratings": [
100,
100,
0,
100,
100
]
} |
2088 | You could be forgiven for forgetting the National Day of Patriotic Devotion--technically, it happened before it was ever declared. Donald Trump established it with a stroke of a pen sometime after his inauguration; the official proclamation appeared Monday in the Federal Register. | The official proclomation wasn't in the Federal Regiester prior to Monday. | E | {
"context1": "",
"context2": "You could be forgiven for forgetting the National Day of Patriotic Devotion--technically, it happened before it was ever declared.",
"target_sentence": "Donald Trump established it with a stroke of a pen sometime after his inauguration; the official proclamation appeared Monday in the Federal Register.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'appeared'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"N",
"E"
],
"ratings": [
99.31,
98.92,
54.34,
89.98,
100
]
} |
2090 | Edward: What do you mean? Father Abbott: King Henry died yesterday. | King Henry was alive before yesterday. | E | {
"context1": "Edward: What do you mean?",
"context2": "Father Abbott:",
"target_sentence": "King Henry died yesterday.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'died'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2096-neg | "I've been so worried," St. Ed said. "I've prayed for you every day." Brother S didn't burst into tears. | Brother S wasn't crying before. | N | {
"context1": "\"I've been so worried,\" St. Ed said.",
"context2": "\"I've prayed for you every day.\"",
"target_sentence": "Brother S didn't burst into tears.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'burst'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
83.53,
51.5,
9.24,
74.31,
100
]
} |
2096 | "I've been so worried," St. Ed said. "I've prayed for you every day." Brother S burst into tears. | Brother S wasn't crying before. | E | {
"context1": "\"I've been so worried,\" St. Ed said.",
"context2": "\"I've prayed for you every day.\"",
"target_sentence": "Brother S burst into tears.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'burst'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.57,
99.85,
100,
100,
98.37
]
} |
2097-neg | Rice 1997). INMECAFE didn't close its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither. | INMECAFE was in business prior to 1990. | E | {
"context1": "Rice 1997).",
"context2": "",
"target_sentence": "INMECAFE didn't close its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'closed'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
99.85,
99.59,
96.49,
99.16,
88.23
]
} |
2097 | Rice 1997). INMECAFE closed its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither. | INMECAFE was in business prior to 1990. | E | {
"context1": "Rice 1997).",
"context2": "",
"target_sentence": "INMECAFE closed its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'closed'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
98.73,
100,
99.28
]
} |
2098-neg | "If women are going to serve on juries, they should serve on an equal basis with men," reasoned Coxon. ( n27 ) After passing the senate, the bill didn't lose momentum in the house. | The bill had momentum before getting to the house. | E | {
"context1": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon.",
"context2": "( n27 )",
"target_sentence": "After passing the senate, the bill didn't lose momentum in the house.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
97.55,
100,
100
]
} |
2098 | "If women are going to serve on juries, they should serve on an equal basis with men," reasoned Coxon. ( n27 ) After passing the senate, the bill lost momentum in the house. | The bill had momentum before getting to the house. | E | {
"context1": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon.",
"context2": "( n27 )",
"target_sentence": "After passing the senate, the bill lost momentum in the house.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
95.71,
81.98,
97.98,
100,
64.18
]
} |
2099-neg | A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year. I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone. Then my eye didn't fall on the rooster china. | I wasn't looking at the rooster china before. | E | {
"context1": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year.",
"context2": "I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone.",
"target_sentence": "Then my eye didn't fall on the rooster china.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fell'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"C",
"E",
"E",
"N"
],
"ratings": [
100,
0,
100,
95.01,
74.96
]
} |
2099 | A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year. I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone. Then my eye fell on the rooster china. | I wasn't looking at the rooster china before. | E | {
"context1": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year.",
"context2": "I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone.",
"target_sentence": "Then my eye fell on the rooster china.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'fell'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
98.62,
98.99,
100
]
} |
21-neg | Poor kid " a few times before letting me kiss the tears away and lead her up to the house. We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed. Near dawn, I didn't wake up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches. | I was asleep before dawn. | E | {
"context1": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house.",
"context2": "We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed.",
"target_sentence": "Near dawn, I didn't wake up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'woke'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
89.98,
100,
97.04,
40.91,
95.9
]
} |
21 | Poor kid " a few times before letting me kiss the tears away and lead her up to the house. We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed. Near dawn, I woke up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches. | I was asleep before dawn. | E | {
"context1": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house.",
"context2": "We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed.",
"target_sentence": "Near dawn, I woke up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'woke'}",
"trigger_type": "change_of_state",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.12,
100,
99.37,
100,
100
]
} |
210 | It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles. Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique. | Brown's case is hardly unique. | E | {
"context1": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.",
"context2": "",
"target_sentence": "Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'say', 'embedded_clause': \"Brown 's case is hardly unique\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
99.43
]
} |
2100-neg | what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery. You can go to China for less than 50 cents an hour and none of that. So, I didn't lose 59,600 textile jobs in NAFTA down to Mexico. | I had at least 59,600 textile jobs before NAFTA. | E | {
"context1": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery.",
"context2": "You can go to China for less than 50 cents an hour and none of that.",
"target_sentence": "So, I didn't lose 59,600 textile jobs in NAFTA down to Mexico.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"N"
],
"ratings": [
94.4,
47.3,
99.69,
100,
50.45
]
} |
2100 | what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery. You can go to China for less than 50 cents an hour and none of that. So, I lost 59,600 textile jobs in NAFTA down to Mexico. | I had at least 59,600 textile jobs before NAFTA. | E | {
"context1": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery.",
"context2": "You can go to China for less than 50 cents an hour and none of that.",
"target_sentence": "So, I lost 59,600 textile jobs in NAFTA down to Mexico.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'lost'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"C",
"E",
"E",
"E",
"E"
],
"ratings": [
0,
100,
100,
99.87,
100
]
} |
2103-neg | where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968. Williams didn't win a Bronze Star. | He was in the military. | E | {
"context1": "",
"context2": "where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968.",
"target_sentence": "Williams didn't win a Bronze Star.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'won'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2103 | where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968. Williams won a Bronze Star. | He was in the military. | E | {
"context1": "",
"context2": "where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968.",
"target_sentence": "Williams won a Bronze Star.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'won'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2107-neg | Sometimes I read a little bit. Lately, I play with my cat, Choupette. The cat doesn't always stay home, and when I leave, the maid takes care of her. | The cat is at home before I leave. | N | {
"context1": "Sometimes I read a little bit.",
"context2": "Lately, I play with my cat, Choupette.",
"target_sentence": "The cat doesn't always stay home, and when I leave, the maid takes care of her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stays'}",
"trigger_type": "change_of_state",
"annotator": "AW",
"nli_labels": [
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"ratings": [
75.21,
48.35,
51.95,
99.43,
21.18
]
} |
2107 | Sometimes I read a little bit. Lately, I play with my cat, Choupette. The cat always stays home, and when I leave, the maid takes care of her. | The cat is at home before I leave. | E | {
"context1": "Sometimes I read a little bit.",
"context2": "Lately, I play with my cat, Choupette.",
"target_sentence": "The cat always stays home, and when I leave, the maid takes care of her.",
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"E",
"E",
"E"
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"ratings": [
100,
100,
100,
100,
100
]
} |
2109-neg | We were counting on good weather, praying for it, and we got our wish. By 5:30 on the morning of the auction, the sun wasn't rising on a cloudless sky over the farmhouse in Trimble, Mo. | Before 5:30 that morning, the sun wasn't up. | E | {
"context1": "",
"context2": "We were counting on good weather, praying for it, and we got our wish.",
"target_sentence": "By 5:30 on the morning of the auction, the sun wasn't rising on a cloudless sky over the farmhouse in Trimble, Mo.",
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"ratings": [
93.25,
100,
100,
97.45,
100
]
} |
2109 | We were counting on good weather, praying for it, and we got our wish. By 5:30 on the morning of the auction, the sun was rising on a cloudless sky over the farmhouse in Trimble, Mo. | Before 5:30 that morning, the sun wasn't up. | E | {
"context1": "",
"context2": "We were counting on good weather, praying for it, and we got our wish.",
"target_sentence": "By 5:30 on the morning of the auction, the sun was rising on a cloudless sky over the farmhouse in Trimble, Mo.",
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100,
100,
100,
100
]
} |
2111-neg | WRITER: I lost a brother in the recent revolution. Not a victim: didn't die in the middle of the street from a heart attack. | He was alive previously. | E | {
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"context2": "I lost a brother in the recent revolution.",
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98.24,
100,
100
]
} |
2111 | WRITER: I lost a brother in the recent revolution. Not a victim: died in the middle of the street from a heart attack. | He was alive previously. | E | {
"context1": "WRITER:",
"context2": "I lost a brother in the recent revolution.",
"target_sentence": "Not a victim: died in the middle of the street from a heart attack.",
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"ratings": [
100,
100,
100,
100,
100
]
} |
2112-neg | Relieving the pinch greatly improved high-power performance. Deep views But it's not the focused views that tell the tale, and those were quite pleasing. | Something told the tale. | E | {
"context1": "Relieving the pinch greatly improved high-power performance.",
"context2": "Deep views",
"target_sentence": "But it's not the focused views that tell the tale, and those were quite pleasing.",
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"ratings": [
100,
96.49,
100,
68.13,
94.19
]
} |
2112 | Relieving the pinch greatly improved high-power performance. Deep views But it's the focused views that tell the tale, and those were quite pleasing. | Something told the tale. | E | {
"context1": "Relieving the pinch greatly improved high-power performance.",
"context2": "Deep views",
"target_sentence": "But it's the focused views that tell the tale, and those were quite pleasing.",
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"ratings": [
100,
100,
5.19,
97.93,
100
]
} |
2113-neg | "She had been getting dressed," says Mills. "Her makeup was on." Asked once about her artistic achievements, Dandridge told a reporter, " I think it wasn't really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career. | Something forced Dandridge to make a success of her career. | E | {
"context1": "\"She had been getting dressed,\" says Mills.",
"context2": "\"Her makeup was on.\"",
"target_sentence": "Asked once about her artistic achievements, Dandridge told a reporter, \" I think it wasn't really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.",
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"ratings": [
96.6,
92.17,
100,
58.21,
100
]
} |
2113 | "She had been getting dressed," says Mills. "Her makeup was on." Asked once about her artistic achievements, Dandridge told a reporter, " I think it was really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career. | Something forced Dandridge to make a success of her career. | E | {
"context1": "\"She had been getting dressed,\" says Mills.",
"context2": "\"Her makeup was on.\"",
"target_sentence": "Asked once about her artistic achievements, Dandridge told a reporter, \" I think it was really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.",
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"E",
"E",
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"ratings": [
99.62,
100,
100,
100,
100
]
} |
2121-neg | You know, some people aren't going to understand that. In biology, there are red blood cells and white blood cells, and when you get sick, it's not your white blood cells that fight the infection. | Some kind of blood cell fights infections. | E | {
"context1": "",
"context2": "You know, some people aren't going to understand that.",
"target_sentence": "In biology, there are red blood cells and white blood cells, and when you get sick, it's not your white blood cells that fight the infection.",
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"ratings": [
99.06,
99.06,
100,
100,
100
]
} |
2121 | You know, some people aren't going to understand that. In biology, there are red blood cells and white blood cells, and when you get sick, it's your white blood cells that fight the infection. | Some kind of blood cell fights infections. | E | {
"context1": "",
"context2": "You know, some people aren't going to understand that.",
"target_sentence": "In biology, there are red blood cells and white blood cells, and when you get sick, it's your white blood cells that fight the infection.",
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"ratings": [
100,
100,
1.46,
97.45,
99.22
]
} |
2123-neg | It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'. But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror. Ironically, it wasn't Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic. | Someone took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic. | E | {
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"context2": "But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror.",
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"E",
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"ratings": [
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100,
100,
100,
100
]
} |
2123 | It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'. But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror. Ironically, it was Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic. | Someone took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic. | E | {
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"E",
"E",
"E"
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"ratings": [
100,
100,
100,
100,
100
]
} |
2125-neg | "It's become a tradition," she says. Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: " I wanted to make sure it wasn't really me that won. | Someone won. | E | {
"context1": "",
"context2": "\"It's become a tradition,\" she says.",
"target_sentence": "Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it wasn't really me that won.",
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"E",
"E"
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"ratings": [
100,
100,
100,
95.71,
99.81
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} |
2125 | "It's become a tradition," she says. Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: " I wanted to make sure it was really me that won. | Someone won. | E | {
"context1": "",
"context2": "\"It's become a tradition,\" she says.",
"target_sentence": "Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it was really me that won.",
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"E",
"E"
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"ratings": [
100,
99.22,
100,
100,
100
]
} |
2126-neg | re: Well, a little sore, Steve. But I just want to say for the record, it wasn't mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions. | Someone lost their lunch on the helicopter insertions and the Hovercraft insertions. | E | {
"context1": "re:",
"context2": "Well, a little sore, Steve.",
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"ratings": [
100,
100,
99.09,
100,
100
]
} |
2126 | re: Well, a little sore, Steve. But I just want to say for the record, it was mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions. | Someone lost their lunch on the helicopter insertions and the Hovercraft insertions. | E | {
"context1": "re:",
"context2": "Well, a little sore, Steve.",
"target_sentence": "But I just want to say for the record, it was mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions.",
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"ratings": [
99.49,
100,
100,
100,
99.95
]
} |
2128-neg | He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it wasn't this local issue that we galvanized behind. | We galvanized behind something. | E | {
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"context2": "I went to hear him talk and we became friends,",
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"ratings": [
99.46,
96.02,
97.74,
100,
98.24
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} |
2128 | He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it was this local issue that we galvanized behind. | We galvanized behind something. | E | {
"context1": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica.",
"context2": "I went to hear him talk and we became friends,",
"target_sentence": "it was this local issue that we galvanized behind.",
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"ratings": [
100,
100,
100,
100,
99.79
]
} |
213-neg | The enhanced services consisted of women-only group sessions, assessment, and intensive case management services. Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation. They didn't find that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %). | women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %). | C | {
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0.38,
1.12,
0
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} |
213 | The enhanced services consisted of women-only group sessions, assessment, and intensive case management services. Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation. They found that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %). | women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %). | E | {
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100,
100,
100,
100
]
} |
2130-neg | And it is just the 30 teams that are faced with that challenge. | Something is faced with that challenge. | E | {
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"context2": "",
"target_sentence": "And it is just the 30 teams that are faced with that challenge.",
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"ratings": [
100,
100,
99.66,
100,
100
]
} |
2130 | And it is not just the 30 teams that are faced with that challenge. | Something is faced with that challenge. | E | {
"context1": "",
"context2": "",
"target_sentence": "And it is not just the 30 teams that are faced with that challenge.",
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"E",
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"ratings": [
99.34,
69.78,
100,
97.98,
100
]
} |
2132-neg | Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter. It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves. But it isn't these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding. | Something makes pursuing bass from beaches, jetties, and rocky points rewarding. | E | {
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"context2": "It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves.",
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"ratings": [
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99.62,
100,
100,
0
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} |
2132 | Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter. It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves. But it's these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding. | Something makes pursuing bass from beaches, jetties, and rocky points rewarding. | E | {
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"context2": "It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves.",
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"N",
"E",
"E"
],
"ratings": [
92.17,
97.45,
78.09,
100,
100
]
} |
2134-neg | And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono. | Something about her appealed to him. | E | {
"context1": "And this time, he had promised himself not to let that happen.",
"context2": "She was just a very young girl, and it was ridiculous to be attracted to her.",
"target_sentence": "He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
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"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
96.2,
99.9,
100
]
} |
2134 | And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono. | Something about her appealed to him. | E | {
"context1": "And this time, he had promised himself not to let that happen.",
"context2": "She was just a very young girl, and it was ridiculous to be attracted to her.",
"target_sentence": "He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2135-neg | Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked. Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness. El hablador does both, but it isn't the very banality of reference that lends it the power of intrigue. | Something lends the title El hablador power and intrigue. | N | {
"context1": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked.",
"context2": "Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness.",
"target_sentence": "El hablador does both, but it isn't the very banality of reference that lends it the power of intrigue.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"N",
"E",
"N"
],
"ratings": [
72.87,
93.4,
88.42,
100,
74.96
]
} |
2135 | Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked. Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness. El hablador does both, but it is the banality of reference that lends it the power of intrigue. | Something lends the title El hablador power and intrigue. | N | {
"context1": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked.",
"context2": "Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness.",
"target_sentence": "El hablador does both, but it is the banality of reference that lends it the power of intrigue.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"E",
"E"
],
"ratings": [
85.14,
50.45,
74.31,
100,
100
]
} |
2138-neg | The answer is that this is a category error. Natural causes presuppose the existence of nature, and it isn't the existence of nature that God causes. | God causes something. | C | {
"context1": "",
"context2": "The answer is that this is a category error.",
"target_sentence": "Natural causes presuppose the existence of nature, and it isn't the existence of nature that God causes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"C",
"C",
"E",
"C",
"N"
],
"ratings": [
0,
0.43,
100,
0.49,
47.3
]
} |
2138 | The answer is that this is a category error. Natural causes presuppose the existence of nature, and it is the existence of nature that God causes. | God causes something. | E | {
"context1": "",
"context2": "The answer is that this is a category error.",
"target_sentence": "Natural causes presuppose the existence of nature, and it is the existence of nature that God causes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.28,
98.99,
99.37
]
} |
214-neg | Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed. State Department deputy spokesman Richard Boucher didn't say in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps. | Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps. | E | {
"context1": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.",
"context2": "",
"target_sentence": "State Department deputy spokesman Richard Boucher didn't say in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'said', 'embedded_clause': 'that Sudetic was forced to leave after authorities in Banja Luka , a town in northern Bosnia - Herzegovina , objected to his efforts to investigate detention camps'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
97.5,
100
]
} |
214 | Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed. State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps. | Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps. | E | {
"context1": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.",
"context2": "",
"target_sentence": "State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"original_negated": false,
"trigger_data": "{'factive': 'said', 'embedded_clause': 'that Sudetic was forced to leave after authorities in Banja Luka , a town in northern Bosnia - Herzegovina , objected to his efforts to investigate detention camps'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.75,
100,
100,
100,
99.62
]
} |
2140-neg | But it wasn't the picture of my mother that surprised me the most. | Something surprised me the most. | E | {
"context1": "",
"context2": "",
"target_sentence": "But it wasn't the picture of my mother that surprised me the most.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.16,
100,
100,
98.99,
98.58
]
} |
2140 | But it was the picture of my mother that surprised me the most. | Something surprised me the most. | E | {
"context1": "",
"context2": "",
"target_sentence": "But it was the picture of my mother that surprised me the most.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.46,
100,
99.81,
100
]
} |
2142-neg | In this debate, I believe that although Momigliano and Gellner were correct, it wasn't Berlin who was right. | Someone in the debate was right. | E | {
"context1": "",
"context2": "",
"target_sentence": "In this debate, I believe that although Momigliano and Gellner were correct, it wasn't Berlin who was right.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
87.75,
89.62
]
} |
2142 | In this debate, I believe that although Momigliano and Gellner were correct, it was Berlin who was right. | Someone in the debate was right. | E | {
"context1": "",
"context2": "",
"target_sentence": "In this debate, I believe that although Momigliano and Gellner were correct, it was Berlin who was right.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.69,
100,
100,
99.54,
100
]
} |
2143-neg | Speaker B: but...
Speaker A: ... it was in his own country. And it wasn't his own dictator that he was mocking. | He was moking someone. | E | {
"context1": "but...",
"context2": "... it was in his own country.",
"target_sentence": "And it wasn't his own dictator that he was mocking.",
"speaker_context1": "JOHN-OLIVER",
"speaker_context2": "TERRY-GROSS",
"speaker_target": "TERRY-GROSS",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
100,
68.96,
100,
100
]
} |
2143 | Speaker B: but...
Speaker A: ... it was in his own country. And it was his own dictator that he was mocking. | He was moking someone. | E | {
"context1": "but...",
"context2": "... it was in his own country.",
"target_sentence": "And it was his own dictator that he was mocking.",
"speaker_context1": "JOHN-OLIVER",
"speaker_context2": "TERRY-GROSS",
"speaker_target": "TERRY-GROSS",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
99.62,
94.88
]
} |
2144-neg | Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano. But sometimes, it's not the small things that matter most. | Something matters the most to guests. | E | {
"context1": "",
"context2": "Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano.",
"target_sentence": "But sometimes, it's not the small things that matter most.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.04,
100,
98.92,
100,
100
]
} |
2144 | Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano. But sometimes, it's the small things that matter most. | Something matters the most to guests. | E | {
"context1": "",
"context2": "Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano.",
"target_sentence": "But sometimes, it's the small things that matter most.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"N",
"E"
],
"ratings": [
89.8,
50.6,
96.08,
88.52,
100
]
} |
2145-neg | how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff? I mean, it's still- it's not the president's- or the presidential candidate's staff who is telling you how they want to run the campaign. | Someone is telling the vice presidential candidate how the presidential candidate wants to run the campaign. | N | {
"context1": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff?",
"context2": "I mean, it's still-",
"target_sentence": "it's not the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"N",
"C",
"N"
],
"ratings": [
75.21,
100,
88.23,
0,
57.91
]
} |
2145 | how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff? I mean, it's still- it's the president's- or the presidential candidate's staff who is telling you how they want to run the campaign. | Someone is telling the vice presidential candidate how the presidential candidate wants to run the campaign. | E | {
"context1": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff?",
"context2": "I mean, it's still-",
"target_sentence": "it's the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"C",
"N",
"E"
],
"ratings": [
97.93,
100,
0,
87.75,
100
]
} |
2147-neg | When a child is sick, more often than not it's not the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm. | Someone takes off work to stay home, when a child is sick, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm. | E | {
"context1": "",
"context2": "",
"target_sentence": "When a child is sick, more often than not it's not the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
91.52,
100,
100,
100,
100
]
} |
2147 | When a child is sick, more often than not it's the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm. | Someone takes off work to stay home, when a child is sick, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm. | E | {
"context1": "",
"context2": "",
"target_sentence": "When a child is sick, more often than not it's the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
90.42,
99.54
]
} |
2151-neg | One of the notable aspects of the Wari' story is that it was just intellectuals who treated cannibalism with empathy and relativism. | Someone treated cannibalism with empathy and relativism. | E | {
"context1": "",
"context2": "",
"target_sentence": "One of the notable aspects of the Wari' story is that it was just intellectuals who treated cannibalism with empathy and relativism.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.66,
97.79,
100,
100,
100
]
} |
2151 | One of the notable aspects of the Wari' story is that it was not just intellectuals who treated cannibalism with empathy and relativism. | Someone treated cannibalism with empathy and relativism. | E | {
"context1": "",
"context2": "",
"target_sentence": "One of the notable aspects of the Wari' story is that it was not just intellectuals who treated cannibalism with empathy and relativism.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{}",
"trigger_type": "clefts",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.69,
100,
100,
82.65,
99.62
]
} |
2154-neg | But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts. Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is a bigger risk than either of them and might be a better buy. | Jake Arrieta and Yu Darvish are risks. | N | {
"context1": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.",
"context2": "",
"target_sentence": "Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is a bigger risk than either of them and might be a better buy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'bigger', 'noun': 'risk'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"E",
"N"
],
"ratings": [
20.94,
4.67,
19.17,
95.08,
66.88
]
} |
2154 | But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts. Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is not a bigger risk than either of them and might be a better buy. | Jake Arrieta and Yu Darvish are risks. | E | {
"context1": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.",
"context2": "",
"target_sentence": "Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is not a bigger risk than either of them and might be a better buy.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'bigger', 'noun': 'risk'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
19.4,
30.35,
98.02,
91.52,
100
]
} |
2155-neg | A better coffee option would be a skim latte or iced coffee with skim milk. BAKED POTATO 620 calories A plain spud is not a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries. | Fries are an alternative to a baked potato. | E | {
"context1": "A better coffee option would be a skim latte or iced coffee with skim milk.",
"context2": "BAKED POTATO 620 calories",
"target_sentence": "A plain spud is not a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'healthier', 'noun': 'alternative'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.88,
100,
100,
100,
100
]
} |
2155 | A better coffee option would be a skim latte or iced coffee with skim milk. BAKED POTATO 620 calories A plain spud is a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries. | Fries are an alternative to a baked potato. | E | {
"context1": "A better coffee option would be a skim latte or iced coffee with skim milk.",
"context2": "BAKED POTATO 620 calories",
"target_sentence": "A plain spud is a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'healthier', 'noun': 'alternative'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
83.1,
100
]
} |
2156-neg | We all watched as those polished valves and eight massive pistons did their syncopated dance. The next day, at the auto show, the party was the only thing anybody wanted to talk about. Assembling a hunk of obsolete pig iron had not become a bigger conversation topic than the new Corvette Z06. | The new Corvette Z06 was a conversation topic. | E | {
"context1": "We all watched as those polished valves and eight massive pistons did their syncopated dance.",
"context2": "The next day, at the auto show, the party was the only thing anybody wanted to talk about.",
"target_sentence": "Assembling a hunk of obsolete pig iron had not become a bigger conversation topic than the new Corvette Z06.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'bigger', 'noun': 'topic'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.85,
98.69,
100,
100,
99.88
]
} |
2156 | We all watched as those polished valves and eight massive pistons did their syncopated dance. The next day, at the auto show, the party was the only thing anybody wanted to talk about. Assembling a hunk of obsolete pig iron had become a bigger conversation topic than the new Corvette Z06. | The new Corvette Z06 was a conversation topic. | E | {
"context1": "We all watched as those polished valves and eight massive pistons did their syncopated dance.",
"context2": "The next day, at the auto show, the party was the only thing anybody wanted to talk about.",
"target_sentence": "Assembling a hunk of obsolete pig iron had become a bigger conversation topic than the new Corvette Z06.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'bigger', 'noun': 'topic'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"C"
],
"ratings": [
100,
94.19,
74.44,
99.71,
0.31
]
} |
2165-neg | The human economy does not resemble the divine one very much, but we can at least allow this. If sacrifice there be, it is a very small one for having a contented husband in his rocking chair. There are not worse tasks than doing dishes. | Doing dishes is a task. | E | {
"context1": "The human economy does not resemble the divine one very much, but we can at least allow this.",
"context2": "If sacrifice there be, it is a very small one for having a contented husband in his rocking chair.",
"target_sentence": "There are not worse tasks than doing dishes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'worse', 'noun': 'tasks'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.19,
100,
99.22,
100,
100
]
} |
2165 | The human economy does not resemble the divine one very much, but we can at least allow this. If sacrifice there be, it is a very small one for having a contented husband in his rocking chair. There are worse tasks than doing dishes. | Doing dishes is a task. | E | {
"context1": "The human economy does not resemble the divine one very much, but we can at least allow this.",
"context2": "If sacrifice there be, it is a very small one for having a contented husband in his rocking chair.",
"target_sentence": "There are worse tasks than doing dishes.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'worse', 'noun': 'tasks'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2167-neg | "Let the little children come to me," thought Fleur, rubbing her hands over her goosefleshed arms. "There is a smaller child than I," and Fleur let herself heavily down onto the pavement once more, to venture toward the church. | Fleur is a child. | N | {
"context1": "",
"context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.",
"target_sentence": "\"There is a smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'smaller', 'noun': 'children'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"N",
"N",
"E"
],
"ratings": [
91.6,
65.46,
62.45,
78.82,
97.3
]
} |
2167 | "Let the little children come to me," thought Fleur, rubbing her hands over her goosefleshed arms. "There is no smaller child than I," and Fleur let herself heavily down onto the pavement once more, to venture toward the church. | Fleur is a child. | E | {
"context1": "",
"context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.",
"target_sentence": "\"There is no smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'adjective': 'smaller', 'noun': 'children'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
94.61,
25.43,
51.65,
100,
99.37
]
} |
2171-neg | Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States. But I think it's a little hard to compare the two. Canada is not a more conservative nation than the U.S. | The U.S. is a nation. | E | {
"context1": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States.",
"context2": "But I think it's a little hard to compare the two.",
"target_sentence": "Canada is not a more conservative nation than the U.S.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'conservative', 'noun': 'nation'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.49,
99.16,
100,
100,
100
]
} |
2171 | Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States. But I think it's a little hard to compare the two. Canada is a more conservative nation than the U.S. | The U.S. is a nation. | E | {
"context1": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States.",
"context2": "But I think it's a little hard to compare the two.",
"target_sentence": "Canada is a more conservative nation than the U.S.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'conservative', 'noun': 'nation'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.95,
100,
100
]
} |
2172-neg | The basement weapons stash was a sturdy and beloved topic of speculation among mayhem-adoring kids and insinuating grown-ups alike, fed by rumors of mob-induction ceremonies and a robust lore centered around the meat grinder. Mark Spitz didn't know if the pizza shop was accessible, but it wasnot a better prospect than the silenced lanes of New Grove, the subdivision his parents had moved to thirty years before, their wedding gifts sitting in the foyer when they returned from their honeymoon. | The subdivision where Mark Spitz's parents had moved to thirty years before was a prospect. | N | {
"context1": "The basement weapons stash was a sturdy and beloved topic of speculation among mayhem-adoring kids and insinuating grown-ups alike, fed by rumors of mob-induction ceremonies and a robust lore centered around the meat grinder.",
"context2": "",
"target_sentence": "Mark Spitz didn't know if the pizza shop was accessible, but it wasnot a better prospect than the silenced lanes of New Grove, the subdivision his parents had moved to thirty years before, their wedding gifts sitting in the foyer when they returned from their honeymoon.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'prospect'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"N",
"E",
"N"
],
"ratings": [
100,
51.8,
92.25,
97.35,
71.41
]
} |
2174-neg | Uribe is an advocate of the internationalization of war. He has suggested that the United Nations intervene in Colombia, but recently claimed that the Colombian conflict is not a more serious terrorist threat than Iraq. | Iraq is a terrorist threat. | E | {
"context1": "",
"context2": "Uribe is an advocate of the internationalization of war.",
"target_sentence": "He has suggested that the United Nations intervene in Colombia, but recently claimed that the Colombian conflict is not a more serious terrorist threat than Iraq.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'serious', 'noun': 'threat'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
77.85,
100,
100,
100
]
} |
2174 | Uribe is an advocate of the internationalization of war. He has suggested that the United Nations intervene in Colombia, and recently claimed that the Colombian conflict is a more serious terrorist threat than Iraq. | Iraq is a terrorist threat. | E | {
"context1": "",
"context2": "Uribe is an advocate of the internationalization of war.",
"target_sentence": "He has suggested that the United Nations intervene in Colombia, and recently claimed that the Colombian conflict is a more serious terrorist threat than Iraq.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'serious', 'noun': 'threat'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
99.49,
100,
100
]
} |
2175-neg | " It's a new part of the market. "Women aren't better savers than men," Lerner said. | Men are savers. | N | {
"context1": "\" It's a new part of the market.",
"context2": "",
"target_sentence": "\"Women aren't better savers than men,\" Lerner said.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'savers'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"E",
"N"
],
"ratings": [
70.47,
89.8,
100,
99.49,
77.48
]
} |
2175 | " It's a new part of the market. "Women are better savers than men," Lerner said. | Men are savers. | N | {
"context1": "\" It's a new part of the market.",
"context2": "",
"target_sentence": "\"Women are better savers than men,\" Lerner said.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'savers'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
95.33,
10.56,
8.98,
49.4,
64.9
]
} |
2177-neg | He demanded that they send out dozens of fake black boxes that merely looked like fabs. There was no political need for their futuristic promises of plenty to actually work. This cynical scheme wasn't much less work than creating real fabs, so it was swiftly adopted. | Creating real fabs is work. | N | {
"context1": "He demanded that they send out dozens of fake black boxes that merely looked like fabs.",
"context2": "There was no political need for their futuristic promises of plenty to actually work.",
"target_sentence": "This cynical scheme wasn't much less work than creating real fabs, so it was swiftly adopted.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'less', 'noun': 'work'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"N",
"E"
],
"ratings": [
64.9,
56.88,
99.25,
94.81,
100
]
} |
2177 | He demanded that they send out dozens of fake black boxes that merely looked like fabs. There was no political need for their futuristic promises of plenty to actually work. This cynical scheme was much less work than creating real fabs, so it was swiftly adopted. | Creating real fabs is work. | E | {
"context1": "He demanded that they send out dozens of fake black boxes that merely looked like fabs.",
"context2": "There was no political need for their futuristic promises of plenty to actually work.",
"target_sentence": "This cynical scheme was much less work than creating real fabs, so it was swiftly adopted.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'less', 'noun': 'work'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
2178-neg | I have always wanted a great deal more. I have always wanted to remake the world, and that is not a much more greedy, far-reaching ambition than cash. | Getting cash is an ambition. | N | {
"context1": "",
"context2": "I have always wanted a great deal more.",
"target_sentence": "I have always wanted to remake the world, and that is not a much more greedy, far-reaching ambition than cash.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greedy', 'noun': 'ambition'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"N",
"N",
"N",
"E"
],
"ratings": [
100,
80.01,
84.93,
73.4,
100
]
} |
2178 | I have always wanted a great deal more. I have always wanted to remake the world, and that is a much more greedy, far-reaching ambition than cash. | Getting cash is an ambition. | E | {
"context1": "",
"context2": "I have always wanted a great deal more.",
"target_sentence": "I have always wanted to remake the world, and that is a much more greedy, far-reaching ambition than cash.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'greedy', 'noun': 'ambition'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.5,
100,
86.37,
100,
100
]
} |
2181-neg | "A good, solid jumper," Krause said of Caffey. " He isn't a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls). | New York Knick and former Krause pick Charles Oakley is an athlete. | E | {
"context1": "",
"context2": "\"A good, solid jumper,\" Krause said of Caffey. \"",
"target_sentence": "He isn't a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'athlete'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
98.5,
100
]
} |
2181 | "A good, solid jumper," Krause said of Caffey. " He's a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls). | New York Knick and former Krause pick Charles Oakley is an athlete. | E | {
"context1": "",
"context2": "\"A good, solid jumper,\" Krause said of Caffey. \"",
"target_sentence": "He's a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'better', 'noun': 'athlete'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
98.81,
18.25,
100,
100
]
} |
2186-neg | "We might have been much better if we had gotten some help." CLIMBING JACOB'S LADDER The resistance to psychiatric treatment among African-Americans is not a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis. | Misdiagnosis of psychiatric disorders is a problem among African Americans. | N | {
"context1": "\"We might have been much better if we had gotten some help.\"",
"context2": "CLIMBING JACOB'S LADDER",
"target_sentence": "The resistance to psychiatric treatment among African-Americans is not a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"E",
"E",
"N",
"N"
],
"ratings": [
90.5,
100,
100,
87.27,
13.83
]
} |
2186 | "We might have been much better if we had gotten some help." CLIMBING JACOB'S LADDER The resistance to psychiatric treatment among African-Americans is a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis. | Misdiagnosis of psychiatric disorders is a problem among African Americans. | E | {
"context1": "\"We might have been much better if we had gotten some help.\"",
"context2": "CLIMBING JACOB'S LADDER",
"target_sentence": "The resistance to psychiatric treatment among African-Americans is a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}",
"trigger_type": "comparatives",
"annotator": "AW",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
33.55,
54.49,
98.84,
100,
100
]
} |
219-neg | 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 don't think you've been able to listen to the discussion. | The foreign minister has been able to listen to the discussion | C | {
"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 don't think you've been able to listen to the discussion.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"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": [
"N",
"E",
"C",
"C",
"C"
],
"ratings": [
12.54,
100,
0,
0,
0.57
]
} |
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