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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'}",...
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": ...
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": "", ...
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_tar...
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"...
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'...
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': 'be...
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": "{'predica...
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': 's...
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 clea...	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 i...
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 clea...	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 i...
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 do...	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 procuremen...
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 co...	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 procuremen...
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...	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 the...
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 eatin...	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 the...
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_cont...
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": "...
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 ...	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 ou...
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 bega...	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 ou...
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 wak...	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 hour...
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...	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 hour...
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', '...
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': '...
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...
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	{ "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, ask...
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.", "context2": "And no, that's not a smudge in the lower right corner of the sun, that's Venus.", "target_sentence": "We will not explain why astronomers are all atwitter over this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", ...
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.", "context2": "And no, that's not a smudge in the lower right corner of the sun, that's Venus.", "target_sentence": "We'll explain why astronomers are all atwitter over this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type...
1407-neg	So you remember what you were thinking when you wrote it	You were thinking something when you wrote it.	E	{ "context1": "", "context2": "", "target_sentence": "So you remember what you were thinking when you wrote it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'remember', 'embedd...
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": "", "target_sentence": "So you don't remember what you were thinking when you wrote it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'remember', ...
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": "", "target_sentence": "In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trig...
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": "", "target_sentence": "In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_da...
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 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; a...
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 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; a...
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	{ "context1": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth.", "context2": "I was stalling now.", "target_sentence": "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.", "speaker_context...
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	{ "context1": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth.", "context2": "I was stalling now.", "target_sentence": "I had imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head.", "speaker_context1": ...
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?", "target_sentence": "But Samantha isn't the story; she does not know who she is.", "speaker...
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	{ "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?", "target_sentence": "But Samantha isn't the story; she knows who she is.", "speaker_context...
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	{ "context1": "GOOD poetry is dangerous.", "context2": "Emily Dickinson said that it blew the top of her head off.", "target_sentence": "Nobody began to shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, ...
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	{ "context1": "GOOD poetry is dangerous.", "context2": "Emily Dickinson said that it blew the top of her head off.", "target_sentence": "Some people begin to shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": fa...
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	{ "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 not finding what turns you on.", "speaker_context1": "", "speaker_context2": "LAWRENCE-KATZ", ...