uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
|---|---|---|---|---|
1388 | WINFREY OK. You all started training three weeks ahead of time. | You were not all training more than three weeks ahead of time. | C | {
"context1": "WINFREY",
"context2": "OK.",
"target_sentence": "You all started training three weeks ahead of time.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"C",
"N",
"C",
"E",
"C"
],
"ratings": [
0.88,
60.71,
0,
100,
0
]
} |
1389-neg | So, she's just--she's just been a wall all our lives. That's why it's going to be really hard WERTHEIMER Helen's blood counts didn't continue to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her. | Helen's blood counts were good previously. | E | {
"context1": "So, she's just--she's just been a wall all our lives.",
"context2": "That's why it's going to be really hard WERTHEIMER",
"target_sentence": "Helen's blood counts didn't continue to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
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"E",
"E",
"N",
"N"
],
"ratings": [
100,
100,
99.16,
80.13,
84.4
]
} |
1389 | So, she's just--she's just been a wall all our lives. That's why it's going to be really hard WERTHEIMER Helen's blood counts continued to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her. | Helen's blood counts were good previously. | E | {
"context1": "So, she's just--she's just been a wall all our lives.",
"context2": "That's why it's going to be really hard WERTHEIMER",
"target_sentence": "Helen's blood counts continued to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continued'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
97.79,
100,
100,
100,
99.62
]
} |
139-neg | Vargson didn't stop drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium. | Vargson used to drink the water before she discovered the methane. | E | {
"context1": "",
"context2": "",
"target_sentence": "Vargson didn't stop drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
93.47,
99.85,
100,
100,
100
]
} |
139 | Vargson stopped drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium. | Vargson used to drink the water before she discovered the methane. | E | {
"context1": "",
"context2": "",
"target_sentence": "Vargson stopped drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'stopped'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
94.61,
99.94,
100
]
} |
1390-neg | At this point I have something I can deal with. I don't begin to enjoy it. " | I wasn't previously enjoying it. | E | {
"context1": "",
"context2": "At this point I have something I can deal with.",
"target_sentence": "I don't begin to enjoy it. \"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'begin'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
85.45,
73.27,
100,
99.69,
100
]
} |
1390 | At this point I have something I can deal with. I begin to enjoy it. " | I wasn't previously enjoying it. | E | {
"context1": "",
"context2": "At this point I have something I can deal with.",
"target_sentence": "I begin to enjoy it. \"",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'begin'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
100,
99.77,
99.28,
50,
100
]
} |
1392-neg | Mikey steals a tense glance at Charlene. She does not start to fidget nervously. | She was not fidgeting nervously before. | E | {
"context1": "",
"context2": "Mikey steals a tense glance at Charlene.",
"target_sentence": "She does not start to fidget nervously.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
87.17,
99.59,
100,
58.06,
94.74
]
} |
1392 | Mikey steals a tense glance at Charlene. She starts to fidget nervously. | She was not fidgeting nervously before. | E | {
"context1": "",
"context2": "Mikey steals a tense glance at Charlene.",
"target_sentence": "She starts to fidget nervously.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'starts'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"N",
"E"
],
"ratings": [
98.95,
99.94,
100,
50,
89.62
]
} |
1394-neg | He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti). He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive. Although he is best known as Freddy to the outside world, his staff did not begin addressing him as Mr. President, a label that some aides use to this day. | His staff was not previously addressing Freddy as Mr. President. | E | {
"context1": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti).",
"context2": "He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive.",
"target_sentence": "Although he is best known as Freddy to the outside world, his staff did not begin addressing him as Mr. President, a label that some aides use to this day.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
99.49,
100,
100,
100
]
} |
1394 | He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti). He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive. Although he is best known as Freddy to the outside world, his staff began addressing him as Mr. President, a label that some aides use to this day. | His staff was not previously addressing Freddy as Mr. President. | E | {
"context1": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti).",
"context2": "He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive.",
"target_sentence": "Although he is best known as Freddy to the outside world, his staff began addressing him as Mr. President, a label that some aides use to this day.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"E"
],
"ratings": [
88.52,
98.81,
100,
100,
100
]
} |
1395-neg | The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if ) the cuts are done intelligently and are applied to current operations as well as the procurement of weapons. The United States does not continue to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries. | Previously, the United States has been developing and procuring expensive advanced conventional combat arms beyond what is justified by its commitments. | E | {
"context1": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if )",
"context2": "the cuts are done intelligently and are applied to current operations as well as the procurement of weapons.",
"target_sentence": "The United States does not continue to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"E",
"N"
],
"ratings": [
26.73,
100,
100,
100,
79.18
]
} |
1395 | The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if ) the cuts are done intelligently and are applied to current operations as well as the procurement of weapons. The United States continues to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries. | Previously, the United States has been developing and procuring expensive advanced conventional combat arms beyond what is justified by its commitments. | E | {
"context1": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if )",
"context2": "the cuts are done intelligently and are applied to current operations as well as the procurement of weapons.",
"target_sentence": "The United States continues to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"original_negated": false,
"trigger_data": "{'predicate': 'continues'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
99.09,
99.62,
100,
82.09
]
} |
1396-neg | The shortage of greenery for wildlife has caused our worst gardening problems ever, " says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years. She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer. The deer did not start eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees. | The deer were not previously eating things like okra, watermelon vines, green persimmons and whole limbs of fig trees. | E | {
"context1": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years.",
"context2": "She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer.",
"target_sentence": "The deer did not start eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"nli_labels": [
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"E",
"N",
"E",
"E"
],
"ratings": [
100,
98.45,
4.35,
98.54,
99.31
]
} |
1396 | The shortage of greenery for wildlife has caused our worst gardening problems ever, " says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years. She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer. The deer started eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees. | The deer were not previously eating things like okra, watermelon vines, green persimmons and whole limbs of fig trees. | E | {
"context1": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years.",
"context2": "She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer.",
"target_sentence": "The deer started eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.",
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"N",
"E",
"E",
"E"
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"ratings": [
100,
97.45,
100,
100,
100
]
} |
1397-neg | California has the second highest rate of overweight children in the country. In response, the state's schools in July did not begin adhering to new laws that limit fat, sugar and portion sizes of food sold on campus. | The state's schools in July were not previously adhering to new laws that limit fat, sugar and portion sizes of food sold on campus. | E | {
"context1": "",
"context2": "California has the second highest rate of overweight children in the country.",
"target_sentence": "In response, the state's schools in July did not begin adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"nli_labels": [
"E",
"N",
"N",
"E",
"E"
],
"ratings": [
99.02,
20.82,
80.25,
100,
100
]
} |
1397 | California has the second highest rate of overweight children in the country. In response, the state's schools in July began adhering to new laws that limit fat, sugar and portion sizes of food sold on campus. | The state's schools in July were not previously adhering to new laws that limit fat, sugar and portion sizes of food sold on campus. | N | {
"context1": "",
"context2": "California has the second highest rate of overweight children in the country.",
"target_sentence": "In response, the state's schools in July began adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
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"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"N",
"N"
],
"ratings": [
81.64,
57.76,
95.4,
58.65,
88.7
]
} |
1399-neg | At first our idea of bed building involved simply adding humus material and Buffing the beds into shape. Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil. That fall we did not begin to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales. | Before Fall, we were not experimenting with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales. | E | {
"context1": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape.",
"context2": "Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil.",
"target_sentence": "That fall we did not begin to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"N"
],
"ratings": [
100,
100,
100,
97.79,
17.57
]
} |
1399 | At first our idea of bed building involved simply adding humus material and Buffing the beds into shape. Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil. That fall we began to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales. | Before Fall, we were not experimenting with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales. | E | {
"context1": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape.",
"context2": "Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil.",
"target_sentence": "That fall we began to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.",
"speaker_context1": "",
"speaker_context2": "",
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"type": "original",
"adversarial": false,
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"trigger_data": "{'predicate': 'began'}",
"trigger_type": "aspectual_verbs",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"E",
"N",
"E"
],
"ratings": [
87.17,
100,
100,
85.35,
99.88
]
} |
140-neg | Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now "America Works" -- tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up. | We hadn't been thinking about waking up prior to the garbage collector starting work. | E | {
"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.",
"context2": "Now \"America Works\" --",
"target_sentence": "tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'beginning'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"N",
"C",
"E"
],
"ratings": [
100,
100,
81.86,
0,
100
]
} |
140 | Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now "America Works" -- tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up. | We hadn't been thinking about waking up prior to the garbage collector starting work. | N | {
"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.",
"context2": "Now \"America Works\" --",
"target_sentence": "tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
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"trigger_data": "{'predicate': 'beginning'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"N",
"E",
"C"
],
"ratings": [
93.4,
40.47,
37.11,
100,
1.19
]
} |
1400-neg | DR. SEUSS This cat wears a hat- and cares what you think about that! | You think something about the cat wearing a hat. | E | {
"context1": "DR.",
"context2": "SEUSS",
"target_sentence": "This cat wears a hat- and cares what you think about that!",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}",
"trigger_type": "embedded_question",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"E",
"E",
"E"
],
"ratings": [
85.66,
75.21,
97.04,
94.88,
100
]
} |
1400 | DR. SEUSS This cat wears a hat- and doesn't care what you think about that! | You think something about the cat wearing a hat. | E | {
"context1": "DR.",
"context2": "SEUSS",
"target_sentence": "This cat wears a hat- and doesn't care what you think about that!",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}",
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"nli_labels": [
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"E",
"N",
"E",
"N"
],
"ratings": [
100,
99.06,
84.93,
100,
80.72
]
} |
1405-neg | if a relentless dressing down that lasted through an entire meal can be termed a mere " spat. " I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman. Then she really lit into me, not asking what I was so bitter and negative about. | I was bitter and negative about something. | E | {
"context1": "if a relentless dressing down that lasted through an entire meal can be termed a mere \" spat.",
"context2": "\" I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman.",
"target_sentence": "Then she really lit into me, not asking what I was so bitter and negative about.",
"speaker_context1": "",
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100,
81.64,
99.12
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1405 | if a relentless dressing down that lasted through an entire meal can be termed a mere " spat. " I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman. Then she really lit into me, asking what I was so bitter and negative about. | I was bitter and negative about something. | E | {
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1406-neg | Live pictures from Greenwich, England. And no, that's not a smudge in the lower right corner of the sun, that's Venus. We will not explain why astronomers are all atwitter over this. | Astronomers are all atwitter over this. | E | {
"context1": "Live pictures from Greenwich, England.",
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97.79,
100,
99.88
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} |
1406 | Live pictures from Greenwich, England. And no, that's not a smudge in the lower right corner of the sun, that's Venus. We'll explain why astronomers are all atwitter over this. | Astronomers are all atwitter over this. | E | {
"context1": "Live pictures from Greenwich, England.",
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98.11,
100,
99.02,
96.2,
100
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} |
1407-neg | So you remember what you were thinking when you wrote it | You were thinking something when you wrote it. | E | {
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"context2": "",
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100,
99.81,
100,
100,
100
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} |
1407 | So you don't remember what you were thinking when you wrote it | You were thinking something when you wrote it. | E | {
"context1": "",
"context2": "",
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91.93,
100,
100,
85.03,
49.7
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} |
141-neg | In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case. | Peacock didn't film grizzly bears before 1975. | E | {
"context1": "",
"context2": "",
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50.6,
100,
100
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} |
141 | In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case. | Peacock didn't film grizzly bears before 1975. | E | {
"context1": "",
"context2": "",
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100,
99.28
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1411-neg | As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories. ( n3 ) They did not begin exploring these critiques and asking how archaeologists might address them. | The archeaologists might address the critiques in some way. | E | {
"context1": "As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories.",
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1411 | As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories. ( n3 ) They began exploring these critiques and asking how archaeologists might address them. | The archeaologists might address the critiques in some way. | E | {
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} |
1415-neg | " When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth. I was stalling now. I had not imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head. | This meeting with Hester Sarah would go some way. | N | {
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100
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} |
1415 | " When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth. I was stalling now. I had imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head. | This meeting with Hester Sarah would go some way. | E | {
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"context2": "I was stalling now.",
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97.88,
99.54,
91.35
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} |
1418-neg | The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers? How could she fall for a man who denied her part of who she was? But Samantha isn't the story; she does not know who she is. | Samantha is someone. | E | {
"context1": "The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers?",
"context2": "How could she fall for a man who denied her part of who she was?",
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} |
1418 | The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers? How could she fall for a man who denied her part of who she was? But Samantha isn't the story; she knows who she is. | Samantha is someone. | E | {
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100,
99.77,
99.4,
100,
100
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} |
142-neg | GOOD poetry is dangerous. Emily Dickinson said that it blew the top of her head off. Nobody began to shiver. | Nobody was shivering before. | N | {
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99.4,
78.46,
100,
82.65
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} |
142 | GOOD poetry is dangerous. Emily Dickinson said that it blew the top of her head off. Some people begin to shiver. | Nobody was shivering before. | N | {
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94.54,
100,
24.02,
87.37,
50.45
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} |
1420-neg | Speaker A: every human being for the most part has that capability. The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and not finding what turns you on. | Something turns you on. | N | {
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"ratings": [
100,
87.56,
71.14,
50,
10.38
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} |
1420 | Speaker A: every human being for the most part has that capability. The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and finding what turns you on. | Something turns you on. | N | {
"context1": "",
"context2": "every human being for the most part has that capability.",
"target_sentence": "The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and finding what turns you on.",
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99.37,
97.7,
100,
87.95,
92.17
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} |
1423-neg | A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She doesn't know just what her mother would have said about all of this. | Her mother would have said something about all this. | N | {
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"ratings": [
77.48,
90.33,
69.65,
100,
85.97
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} |
1423 | A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She knows just what her mother would have said about all of this. | Her mother would have said something about all this. | E | {
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100,
99.02,
95.14,
99.12,
99.25
]
} |
1425-neg | Now before we go to our next segment, which--we're going to have a little fun here tonight. I know what the staff has picked from this speech to show me. | The staff has picked something from this speech to show me. | E | {
"context1": "",
"context2": "Now before we go to our next segment, which--we're going to have a little fun here tonight.",
"target_sentence": "I know what the staff has picked from this speech to show me.",
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100,
99.22,
93.25,
100,
100
]
} |
1425 | Now before we go to our next segment, which--we're going to have a little fun here tonight. I don't know what the staff has picked from this speech to show me. | The staff has picked something from this speech to show me. | E | {
"context1": "",
"context2": "Now before we go to our next segment, which--we're going to have a little fun here tonight.",
"target_sentence": "I don't know what the staff has picked from this speech to show me.",
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100,
99.02,
100,
97.04,
100
]
} |
1427-neg | Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork. | Usama bin Laden did something as God's handiwork. | E | {
"context1": "",
"context2": "Final topic, here.",
"target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork.",
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100,
100,
100,
100,
99.57
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} |
1427 | Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork. | Usama bin Laden did something as God's handiwork. | E | {
"context1": "",
"context2": "Final topic, here.",
"target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork.",
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100,
100,
98.92,
100,
100
]
} |
143-neg | Sports Image sells our posters. It's Sports Image's damn responsibility to pursue that sumbitch. If I'm gonna have to pursue it, I'm not gonna start doing those posters myself! " | I wasn't doing those posters myself before. | E | {
"context1": "Sports Image sells our posters.",
"context2": "It's Sports Image's damn responsibility to pursue that sumbitch.",
"target_sentence": "If I'm gonna have to pursue it, I'm not gonna start doing those posters myself! \"",
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100,
79.54,
100
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} |
143 | Sports Image sells our posters. It's Sports Image's damn responsibility to pursue that sumbitch. If I'm gonna have to pursue it, I'm gonna start doing those posters myself! " | I wasn't doing those posters myself before. | E | {
"context1": "Sports Image sells our posters.",
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"target_sentence": "If I'm gonna have to pursue it, I'm gonna start doing those posters myself! \"",
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89.98,
100,
98.16,
100,
99.88
]
} |
1432-neg | Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. ' I think that doesn't explain in part why so many people like and trust him. | So many people like and trust him. | E | {
"context1": "",
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1432 | Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. ' I think that explains in part why so many people like and trust him. | So many people like and trust him. | E | {
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1436-neg | But that was a difficult spot for him, when you think about it. Mrs. ARNOLD: I know how he did it, but he's done it. | He did it in some way. | E | {
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100,
100,
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1436 | But that was a difficult spot for him, when you think about it. Mrs. ARNOLD: I don't know how he did it, but he's done it. | He did it in some way. | E | {
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100,
99.83,
100,
99.75
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144-neg | The continuation of this will simply be emptying out the countryside. " Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down. Businesses that revolve around agriculture aren't beginning to wobble. | Businesses that revolve around agriculture weren't wobbling before. | N | {
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0,
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144 | The continuation of this will simply be emptying out the countryside. " Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down. Businesses that revolve around agriculture are beginning to wobble. | Businesses that revolve around agriculture weren't wobbling before. | E | {
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100,
100,
89.35
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} |
1441-neg | My car? She's welcome to it. " Then I don't see how he's looking at me, and my laughter dies away. | He's looking at me. | N | {
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40.91,
100,
100
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} |
1441 | My car? She's welcome to it. " Then I see how he's looking at me, and my laughter dies away. | He's looking at me. | E | {
"context1": "My car?",
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100,
100,
100
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} |
1442-neg | Absolutely. I'm completely convinced that it will spring back and survive the awful attack. The Balinese people I think will be changed fundamentally by this. | The Balinese people will be changed fundametally by this. | E | {
"context1": "Absolutely.",
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79.78,
95.21,
99.88
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} |
1442 | Absolutely. I'm completely convinced that it will spring back and survive the awful attack. The Balinese people I don't think will be changed fundamentally by this. | The Balinese people will be changed fundametally by this. | C | {
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3.23,
4.99,
0,
0,
0
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} |
1443-neg | No one has heard of anything like that. Mr. DONALDSON: Yeah, well, Tsongas doesn't say he's not Santa Claus. | Tsongas is not Santa Claus. | N | {
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99.69,
61.29,
50.3
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} |
1443 | No one has heard of anything like that. Mr. DONALDSON: Yeah, well, Tsongas says he's not Santa Claus. | Tsongas is not Santa Claus. | E | {
"context1": "No one has heard of anything like that.",
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99.02,
98.2,
100,
99.34,
95.84
]
} |
1445-neg | COGSWELL: We do. We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries. So we, we did not support that, and we did not think it was a very good case. | It was a very good case. | C | {
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1445 | COGSWELL: We do. We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries. So we, we supported that, and we thought it was a very good case. | It was a very good case. | E | {
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99.59,
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100
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1447-neg | Right. Even though you drove on that road a hundred times, you know whether the water had run-over that road and washed that road away. | The water had run-over that road and washed that road away. | N | {
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100,
50.6,
100
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} |
1447 | Right. Even though you drove on that road a hundred times, you don't know whether the water had run-over that road and washed that road away. | The water had run-over that road and washed that road away. | N | {
"context1": "",
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49.7,
85.45,
10.65,
47.9
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} |
1448 | And I don't mean that lightheartedly. They're passionate about it. And so I think people pick up the pieces of information that are important to them and their position, which is what we do. | People pick up the pieces of information that are important to them and their position. | E | {
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99.93,
100,
99.88,
98.81
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1449 | Captain Usher said private housing that was comparable to military housing cost roughly $1,000 a month, which is above the housing allowances for even the highest ranking enlisted sailors. | Private housing that was comparable to military housing cost roughly $1,000 a month. | E | {
"context1": "",
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100,
100,
100
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} |
145-neg | ANGLE AT Lechter doesn't start to come to life. | Lechter is not already alive. | N | {
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100,
80.72,
48.95,
0.57,
49.4
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} |
1450-neg | I do not realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority. | There are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority. | N | {
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84.82,
89.8,
100,
95.46,
100
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1450 | I realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority. | There are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority. | E | {
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99.16,
99.37,
100,
99.02,
99.85
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} |
1454-neg | In January 1998, Suharto did not announce that he would seek re-election later that year for a seventh term as president. | Suharto would seek re-election later that year for a seventh term as president. | N | {
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22.15,
45.21,
44.46
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} |
1454 | In January 1998, Suharto announced that he would seek re-election later that year for a seventh term as president. | Suharto would seek re-election later that year for a seventh term as president. | E | {
"context1": "",
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98.33,
100,
100,
96.2,
100
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} |
1455-neg | He introduced Iggy Pop both to cocaine and to David Bowie. And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough. The Ramones did not teach them they didn't need to be, apparently. | They didn't need to be skilled enough. | N | {
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"ratings": [
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38.85,
100,
95.27,
0
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1455 | He introduced Iggy Pop both to cocaine and to David Bowie. And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough. The Ramones taught them they didn't need to be, apparently. | They didn't need to be skilled enough. | E | {
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99.69,
83.1,
99.31,
84.72,
100
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} |
1460-neg | We want to control the new territories and control the drug activities and the gang activities. And we do major takeovers. KAPLAN Statistics are hard to come by, but federal authorities do not believe about 15 percent of gang members are in rural communities. | About 15 percent of gang members are in rural communities. | N | {
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47.3,
99.81,
22.65,
9.76,
10.38
]
} |
1460 | We want to control the new territories and control the drug activities and the gang activities. And we do major takeovers. KAPLAN Statistics are hard to come by, but federal authorities believe about 15 percent of gang members are in rural communities. | About 15 percent of gang members are in rural communities. | E | {
"context1": "We want to control the new territories and control the drug activities and the gang activities.",
"context2": "And we do major takeovers. KAPLAN",
"target_sentence": "Statistics are hard to come by, but federal authorities believe about 15 percent of gang members are in rural communities.",
"speaker_context1": "",
"speaker_context2": "",
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"N",
"E",
"E",
"E"
],
"ratings": [
91.68,
75.6,
99.22,
100,
100
]
} |
1461-neg | qwq KROFT: And you don't think the police were part of this. | The police were part of this. | N | {
"context1": "qwq",
"context2": "KROFT:",
"target_sentence": "And you don't think the police were part of this.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"N",
"C"
],
"ratings": [
37.55,
33.26,
51.65,
84.93,
0.57
]
} |
1461 | qwq KROFT: And you think the police were part of this. | The police were part of this. | N | {
"context1": "qwq",
"context2": "KROFT:",
"target_sentence": "And you think the police were part of this.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"E",
"E"
],
"ratings": [
50.6,
20.46,
50.3,
94.19,
93.55
]
} |
1463-neg | Students completed the CBM-WPS measure every 2 weeks across 12 school weeks. Results did not indicate that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement. | The CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement. | C | {
"context1": "",
"context2": "Students completed the CBM-WPS measure every 2 weeks across 12 school weeks.",
"target_sentence": "Results did not indicate that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"E",
"C",
"C",
"C"
],
"ratings": [
24.28,
96.77,
0,
0,
0.17
]
} |
1463 | Students completed the CBM-WPS measure every 2 weeks across 12 school weeks. Results indicated that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement. | The CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement. | E | {
"context1": "",
"context2": "Students completed the CBM-WPS measure every 2 weeks across 12 school weeks.",
"target_sentence": "Results indicated that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
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"trigger_data": "{'factive': 'indicated', 'embedded_clause': 'that the CBM - WPS measure was reliable and significantly correlated with measures of arithmetic WPS , number combinations fluency , and a standardized test of mathematics achievement'}",
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"E",
"E",
"E",
"E"
],
"ratings": [
99.49,
99.12,
92.56,
100,
100
]
} |
1466-neg | SHIELDS: No. I do not think that's right. | That's right. | C | {
"context1": "SHIELDS:",
"context2": "No.",
"target_sentence": "I do not think that's right.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's right\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
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"C",
"C",
"C",
"C",
"N"
],
"ratings": [
0,
0.23,
0.29,
0,
46.4
]
} |
1466 | SHIELDS: No. I think that's right. | That's right. | E | {
"context1": "SHIELDS:",
"context2": "No.",
"target_sentence": "I think that's right.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's right\"}",
"trigger_type": "clause_embedding_predicates",
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"E",
"E",
"N",
"N",
"E"
],
"ratings": [
99.51,
99.93,
97.25,
66.88,
99.43
]
} |
1467 | Case in point, 14-year-old Elizabeth Smart, abducted at gunpoint from her bedroom in 2002. Lieberman says fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape. | Fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape. | E | {
"context1": "",
"context2": "Case in point, 14-year-old Elizabeth Smart, abducted at gunpoint from her bedroom in 2002.",
"target_sentence": "Lieberman says fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'says', 'embedded_clause': 'fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
92.17,
100,
100,
99.77,
100
]
} |
147-neg | David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November? KRANZ: Well, our polls don't continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8. | Our polls had been showing that he leads previously. | E | {
"context1": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November?",
"context2": "KRANZ:",
"target_sentence": "Well, our polls don't continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
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"trigger_data": "{'predicate': 'continue'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"N",
"E",
"C",
"E"
],
"ratings": [
100,
71.81,
94.19,
0.84,
100
]
} |
147 | David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November? KRANZ: Well, our polls continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8. | Our polls had been showing that he leads previously. | E | {
"context1": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November?",
"context2": "KRANZ:",
"target_sentence": "Well, our polls continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'continue'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1470 | SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions. They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship. I think the Senate has done pretty well so far. | The Senate has done pretty well so far. | E | {
"context1": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions.",
"context2": "They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship.",
"target_sentence": "I think the Senate has done pretty well so far.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
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"E",
"E",
"N",
"E",
"N"
],
"ratings": [
100,
97.74,
89.35,
97.98,
80.13
]
} |
1472-neg | During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring "not true" when Barack Obama told the nation something that was not true. Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations. The court had not held in 2007 that the First Amendment protects issue advocacy by corporations. | The First Amendment protects issue advocacy by corporations. | C | {
"context1": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true.",
"context2": "Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations.",
"target_sentence": "The court had not held in 2007 that the First Amendment protects issue advocacy by corporations.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'held', 'embedded_clause': 'that the First Amendment protects issue advocacy by corporations'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"C",
"E",
"C",
"C"
],
"ratings": [
2.96,
0,
96.77,
0.66,
1.55
]
} |
1472 | During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring "not true" when Barack Obama told the nation something that was not true. Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations. The court had held in 2007 that the First Amendment protects issue advocacy by corporations. | The First Amendment protects issue advocacy by corporations. | E | {
"context1": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true.",
"context2": "Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations.",
"target_sentence": "The court had held in 2007 that the First Amendment protects issue advocacy by corporations.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'factive': 'held', 'embedded_clause': 'that the First Amendment protects issue advocacy by corporations'}",
"trigger_type": "clause_embedding_predicates",
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"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.29,
100,
100,
100,
100
]
} |
1473-neg | He grunted, still reading. I do not know Saze doesn't approve of what I've done. | Saze doesn't approve of what I've done. | N | {
"context1": "He grunted, still reading.",
"context2": "",
"target_sentence": "I do not know Saze doesn't approve of what I've done.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'know', 'embedded_clause': \"Saze does n't approve of what I ' ve done\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"N",
"N",
"N"
],
"ratings": [
49.4,
10.56,
50.45,
76.73,
44.46
]
} |
1473 | He grunted, still reading. I know Saze doesn't approve of what I've done. | Saze doesn't approve of what I've done. | E | {
"context1": "He grunted, still reading.",
"context2": "",
"target_sentence": "I know Saze doesn't approve of what I've done.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'know', 'embedded_clause': \"Saze does n't approve of what I ' ve done\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.16,
99.09,
96.93,
99.31,
100
]
} |
1474-neg | So, students take ESL in the ABE program and then take their' real' studies with financial aid monies " (M. Kritikos, personal communication, 1992). Critics of financial aid for ESL students do not claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid. | Many ESL students do not intend to persist to degree completion and should therefore not be eligible for financial aid. | N | {
"context1": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).",
"context2": "",
"target_sentence": "Critics of financial aid for ESL students do not claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
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"trigger_data": "{'factive': 'claim', 'embedded_clause': 'that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"N",
"N",
"C",
"N",
"N"
],
"ratings": [
39.29,
49.25,
1.12,
84.18,
17.13
]
} |
1474 | So, students take ESL in the ABE program and then take their' real' studies with financial aid monies " (M. Kritikos, personal communication, 1992). Critics of financial aid for ESL students claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid. | Many ESL students do not intend to persist to degree completion and should therefore not be eligible for financial aid. | E | {
"context1": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).",
"context2": "",
"target_sentence": "Critics of financial aid for ESL students claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'claim', 'embedded_clause': 'that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid'}",
"trigger_type": "clause_embedding_predicates",
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"E",
"N",
"E",
"E"
],
"ratings": [
100,
96.54,
98.07,
90.67,
81.98
]
} |
1475-neg | Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder. Looking down at her, he marveled again at his luck. Then did not remind himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed. | It wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed. | N | {
"context1": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder.",
"context2": "Looking down at her, he marveled again at his luck.",
"target_sentence": "Then did not remind himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'reminded', 'embedded_clause': \"that it was n't his luck at all\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"N",
"N",
"N"
],
"ratings": [
100,
100,
88.33,
90.15,
84.08
]
} |
1475 | Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder. Looking down at her, he marveled again at his luck. Then reminded himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed. | It wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed. | E | {
"context1": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder.",
"context2": "Looking down at her, he marveled again at his luck.",
"target_sentence": "Then reminded himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'factive': 'reminded', 'embedded_clause': \"that it was n't his luck at all\"}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.83,
100,
100,
100,
98.58
]
} |
1478 | They come from one-parent households the majority of the time. And they have little to no support at home, so they search for it in the street. I've found that many of them are recruited to join a gang between fifth and eighth grades. | Many of them are recruited to join a gang between fifth and eighth grades. | E | {
"context1": "They come from one-parent households the majority of the time.",
"context2": "And they have little to no support at home, so they search for it in the street.",
"target_sentence": "I've found that many of them are recruited to join a gang between fifth and eighth grades.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
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"trigger_data": "{'factive': 'found', 'embedded_clause': 'that many of them are recruited to join a gang between fifth and eighth grades'}",
"trigger_type": "clause_embedding_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
98.92,
98.84,
100,
100,
100
]
} |
148-neg | That's when Tony noticed something unsettling. He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned. Mr-YOUNG: She didn't instantly start to express some displeasure at that, and not wanting--feeling like she was persecuted. | She wasn't expressing any displeasure at that before. | N | {
"context1": "That's when Tony noticed something unsettling.",
"context2": "He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned.",
"target_sentence": "Mr-YOUNG: She didn't instantly start to express some displeasure at that, and not wanting--feeling like she was persecuted.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
"trigger_type": "aspectual_verbs",
"annotator": "ZZ",
"nli_labels": [
"N",
"N",
"E",
"N",
"E"
],
"ratings": [
80.72,
56.88,
94.19,
95.59,
99.19
]
} |
148 | That's when Tony noticed something unsettling. He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned. Mr-YOUNG: She instantly started to express some displeasure at that, and not wanting--feeling like she was persecuted. | She wasn't expressing any displeasure at that before. | E | {
"context1": "That's when Tony noticed something unsettling.",
"context2": "He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned.",
"target_sentence": "Mr-YOUNG: She instantly started to express some displeasure at that, and not wanting--feeling like she was persecuted.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'started'}",
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"nli_labels": [
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"N",
"E",
"E",
"N"
],
"ratings": [
99.95,
92.95,
100,
99.91,
15.92
]
} |
1485 | Sounds of pursuit from the north were louder, too loud. In the distance to the south, he could hear the raging river that might be their salvation. Reluctant though he was to leave her, he dared not let them catch him or all would be lost. | Letting them catch on would take courage. | N | {
"context1": "Sounds of pursuit from the north were louder, too loud.",
"context2": "In the distance to the south, he could hear the raging river that might be their salvation.",
"target_sentence": "Reluctant though he was to leave her, he dared not let them catch him or all would be lost.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": true,
"trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"N",
"N",
"N"
],
"ratings": [
99.77,
69.92,
79.78,
68.27,
6.24
]
} |
1486-neg | Without them, I cannot speak for the future of Gwynedd. " He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see. | Touching a hand to his sleeve would take courage. | E | {
"context1": "Without them, I cannot speak for the future of Gwynedd. \"",
"context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.",
"target_sentence": "As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "negated",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"N",
"E",
"E",
"E"
],
"ratings": [
100,
96.49,
95.27,
100,
100
]
} |
1486 | Without them, I cannot speak for the future of Gwynedd. " He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see. | Touching a hand to his sleeve would take courage. | E | {
"context1": "Without them, I cannot speak for the future of Gwynedd. \"",
"context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.",
"target_sentence": "As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.",
"speaker_context1": "",
"speaker_context2": "",
"speaker_target": "",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}",
"trigger_type": "implicative_predicates",
"annotator": "OA",
"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
99.62,
94.81,
93.17,
92.09,
95.33
]
} |
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