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values | monotonicity
stringclasses 5
values | gold_label
stringclasses 2
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stringlengths 1
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3,991 | silver/p57/d2454 | and | conjunction | neutral | null | null | null | Tom heard that Mary | Tom heard that Mary and John had split up . |
3,992 | silver/p57/d2569 | and | conjunction | entailment | null | null | null | I thought Tom and Mary were crazy . | I thought Tom |
3,993 | silver/p57/d2569 | and | conjunction | neutral | null | null | null | I thought Tom | I thought Tom and Mary were crazy . |
3,994 | silver/p57/d2633 | and | conjunction | entailment | null | null | null | I gave him a deposit and then he disappeared . | I gave him a deposit |
3,995 | silver/p57/d2633 | and | conjunction | neutral | null | null | null | I gave him a deposit | I gave him a deposit and then he disappeared . |
3,996 | silver/p57/d2764 | and | conjunction | entailment | null | null | null | He put some sugar and milk in his tea . | He put some sugar |
3,997 | silver/p57/d2764 | and | conjunction | neutral | null | null | null | He put some sugar | He put some sugar and milk in his tea . |
3,998 | silver/p57/d2787 | and | conjunction | entailment | null | null | null | Someone had definitely spiked Tom 's drink , because he could no longer stand up and the next morning he could remember nothing . | Someone had definitely spiked Tom 's drink , because he could no longer stand up |
3,999 | silver/p57/d2787 | and | conjunction | neutral | null | null | null | Someone had definitely spiked Tom 's drink , because he could no longer stand up | Someone had definitely spiked Tom 's drink , because he could no longer stand up and the next morning he could remember nothing . |
4,000 | silver/p57/d2935 | and | conjunction | entailment | null | null | null | The devil destroyed Hiroshima and Nagasaki . | The devil destroyed Hiroshima |
4,001 | silver/p57/d2935 | and | conjunction | neutral | null | null | null | The devil destroyed Hiroshima | The devil destroyed Hiroshima and Nagasaki . |
4,002 | silver/p57/d2963 | and | conjunction | entailment | null | null | null | Tom took a blanket off the bed and wrapped it around himself . | Tom took a blanket off the bed |
4,003 | silver/p57/d2963 | and | conjunction | neutral | null | null | null | Tom took a blanket off the bed | Tom took a blanket off the bed and wrapped it around himself . |
4,004 | silver/p57/d3013 | and | conjunction | entailment | null | null | null | Tom 's jokes are hilarious and get even better after he 's had a few beers . | Tom 's jokes are hilarious |
4,005 | silver/p57/d3013 | and | conjunction | neutral | null | null | null | Tom 's jokes are hilarious | Tom 's jokes are hilarious and get even better after he 's had a few beers . |
4,006 | silver/p57/d3228 | and | conjunction | entailment | null | null | null | If you need to blame someone , blame Tom and me . | If you need to blame someone , blame Tom |
4,007 | silver/p57/d3228 | and | conjunction | neutral | null | null | null | If you need to blame someone , blame Tom | If you need to blame someone , blame Tom and me . |
4,008 | silver/p57/d3233 | and | conjunction | entailment | null | null | null | Tom got into the car with Mary and they drove away . | Tom got into the car with Mary |
4,009 | silver/p57/d3233 | and | conjunction | neutral | null | null | null | Tom got into the car with Mary | Tom got into the car with Mary and they drove away . |
4,010 | silver/p57/d3296 | and | conjunction | entailment | null | null | null | We got into his car and went to the sea . | We got into his car |
4,011 | silver/p57/d3296 | and | conjunction | neutral | null | null | null | We got into his car | We got into his car and went to the sea . |
4,012 | silver/p57/d3360 | and | conjunction | entailment | null | null | null | " Tom and Mary have broken up . " " That 's ancient history . " | " Tom |
4,013 | silver/p57/d3360 | and | conjunction | neutral | null | null | null | " Tom | " Tom and Mary have broken up . " " That 's ancient history . " |
4,014 | silver/p57/d3407 | and | conjunction | entailment | null | null | null | I got home and the first thing I did was taking my shoes off . | I got home |
4,015 | silver/p57/d3407 | and | conjunction | neutral | null | null | null | I got home | I got home and the first thing I did was taking my shoes off . |
4,016 | silver/p57/d3471 | and | conjunction | entailment | null | null | null | Make a few good friends and stick to them . | Make a few good friends |
4,017 | silver/p57/d3471 | and | conjunction | neutral | null | null | null | Make a few good friends | Make a few good friends and stick to them . |
4,018 | silver/p57/d3474 | and | conjunction | entailment | null | null | null | Tom took off his wedding ring and threw it into the pond . | Tom took off his wedding ring |
4,019 | silver/p57/d3474 | and | conjunction | neutral | null | null | null | Tom took off his wedding ring | Tom took off his wedding ring and threw it into the pond . |
4,020 | silver/p58/d1496 | and | conjunction | entailment | null | null | null | Diverting hundred of billions of dollars from fossil fuels into renewable energy and cutting energy waste would shave just 0.06 % off expected annual economic growth rates of 1.3 %-3 % . | Diverting hundred of billions of dollars from fossil fuels into renewable energy |
4,021 | silver/p58/d1496 | and | conjunction | neutral | null | null | null | Diverting hundred of billions of dollars from fossil fuels into renewable energy | Diverting hundred of billions of dollars from fossil fuels into renewable energy and cutting energy waste would shave just 0.06 % off expected annual economic growth rates of 1.3 %-3 % . |
4,022 | silver/p58/d1655 | and | conjunction | entailment | null | null | null | I thought it would be like a few little steps with skips and turns . | I thought it would be like a few little steps with skips |
4,023 | silver/p58/d1655 | and | conjunction | neutral | null | null | null | I thought it would be like a few little steps with skips | I thought it would be like a few little steps with skips and turns . |
4,024 | silver/p58/d1719 | and | conjunction | entailment | null | null | null | He was wearing black trousers and a beautiful white shirt . | He was wearing black trousers |
4,025 | silver/p58/d1719 | and | conjunction | neutral | null | null | null | He was wearing black trousers | He was wearing black trousers and a beautiful white shirt . |
4,026 | silver/p58/d1787 | and | conjunction | entailment | null | null | null | It has been snowing on and off . | It has been snowing on |
4,027 | silver/p58/d1787 | and | conjunction | neutral | null | null | null | It has been snowing on | It has been snowing on and off . |
4,028 | silver/p58/d1993 | and | conjunction | entailment | null | null | null | The baby cried on and off all night . | The baby cried on |
4,029 | silver/p58/d1993 | and | conjunction | neutral | null | null | null | The baby cried on | The baby cried on and off all night . |
4,030 | silver/p58/d2047 | and | conjunction | entailment | null | null | null | He took his coat off and set to work . | He took his coat off |
4,031 | silver/p58/d2047 | and | conjunction | neutral | null | null | null | He took his coat off | He took his coat off and set to work . |
4,032 | silver/p58/d2053 | and | conjunction | entailment | null | null | null | Tom washed his hands and face . | Tom washed his hands |
4,033 | silver/p58/d2053 | and | conjunction | neutral | null | null | null | Tom washed his hands | Tom washed his hands and face . |
4,034 | silver/p58/d2134 | and | conjunction | neutral | null | null | null | Work is not only important for economic benefits , the salary , but also for social and psychological needs , the feeling of doing something for the good of society . | Work is not only important for economic benefits , the salary , but also for social |
4,035 | silver/p58/d2134 | and | conjunction | entailment | null | null | null | Work is not only important for economic benefits , the salary , but also for social | Work is not only important for economic benefits , the salary , but also for social and psychological needs , the feeling of doing something for the good of society . |
4,036 | silver/p58/d2250 | and | conjunction | entailment | null | null | null | I 'm tired and I want to go to bed . | I 'm tired |
4,037 | silver/p58/d2250 | and | conjunction | neutral | null | null | null | I 'm tired | I 'm tired and I want to go to bed . |
4,038 | silver/p58/d2472 | and | conjunction | entailment | null | null | null | In 2009 , coyotes killed 2,500 sheep and 12,000 lambs in the state of Montana . | In 2009 , coyotes killed 2,500 sheep |
4,039 | silver/p58/d2472 | and | conjunction | neutral | null | null | null | In 2009 , coyotes killed 2,500 sheep | In 2009 , coyotes killed 2,500 sheep and 12,000 lambs in the state of Montana . |
4,040 | silver/p58/d2604 | and | conjunction | entailment | null | null | null | I was very thirsty and I wanted to drink something cold . | I was very thirsty |
4,041 | silver/p58/d2604 | and | conjunction | neutral | null | null | null | I was very thirsty | I was very thirsty and I wanted to drink something cold . |
4,042 | silver/p58/d2654 | and | conjunction | entailment | null | null | null | Mary traveled back in time to Paris and became the mistress of Napoleon III . | Mary traveled back in time to Paris |
4,043 | silver/p58/d2654 | and | conjunction | neutral | null | null | null | Mary traveled back in time to Paris | Mary traveled back in time to Paris and became the mistress of Napoleon III . |
4,044 | silver/p58/d2675 | and | conjunction | entailment | null | null | null | Tom picked up the newspaper and read the headlines . | Tom picked up the newspaper |
4,045 | silver/p58/d2675 | and | conjunction | neutral | null | null | null | Tom picked up the newspaper | Tom picked up the newspaper and read the headlines . |
4,047 | silver/p58/d2862 | and | conjunction | neutral | null | null | null | There is a border between the United~States | There is a border between the United~States and Mexico . |
4,048 | silver/p58/d2875 | and | conjunction | entailment | null | null | null | A pretty girl came up to Tom in the street and started talking to him . | A pretty girl came up to Tom in the street |
4,049 | silver/p58/d2875 | and | conjunction | neutral | null | null | null | A pretty girl came up to Tom in the street | A pretty girl came up to Tom in the street and started talking to him . |
4,050 | silver/p58/d3160 | and | conjunction | entailment | null | null | null | One is Japanese and the other is Italian . | One is Japanese |
4,051 | silver/p58/d3160 | and | conjunction | neutral | null | null | null | One is Japanese | One is Japanese and the other is Italian . |
4,052 | silver/p58/d3250 | and | conjunction | entailment | null | null | null | Tom 's father sold his Buick and bought a Cadillac . | Tom 's father sold his Buick |
4,053 | silver/p58/d3250 | and | conjunction | neutral | null | null | null | Tom 's father sold his Buick | Tom 's father sold his Buick and bought a Cadillac . |
4,054 | silver/p58/d3447 | and | conjunction | entailment | null | null | null | Japan is hot and sticky in summer . | Japan is hot |
4,055 | silver/p58/d3447 | and | conjunction | neutral | null | null | null | Japan is hot | Japan is hot and sticky in summer . |
4,056 | silver/p58/d3540 | and | conjunction | entailment | null | null | null | I smiled at him and he smiled back . | I smiled at him |
4,057 | silver/p58/d3540 | and | conjunction | neutral | null | null | null | I smiled at him | I smiled at him and he smiled back . |
4,058 | silver/p58/d3555 | and | conjunction | neutral | null | null | null | Tom likes to be busy and hates sitting around doing nothing . | Tom likes to be busy |
4,059 | silver/p58/d3555 | and | conjunction | entailment | null | null | null | Tom likes to be busy | Tom likes to be busy and hates sitting around doing nothing . |
4,060 | silver/p59/d0703 | and | conjunction | entailment | null | null | null | He wrote many books , including two particularly influential ones , The Wild Garden , and The English Flower Garden ; his lifelong friend Gertrude Jekyll contributed some sections . | He wrote many books , including two particularly influential ones , The Wild Garden , |
4,061 | silver/p59/d0703 | and | conjunction | neutral | null | null | null | He wrote many books , including two particularly influential ones , The Wild Garden , | He wrote many books , including two particularly influential ones , The Wild Garden , and The English Flower Garden ; his lifelong friend Gertrude Jekyll contributed some sections . |
4,062 | silver/p59/d0705 | and | conjunction | entailment | null | null | null | Initially , the EU consisted of six countries : Belgium , Germany , France , Italy , Luxembourg , and the Netherlands . Denmark , Ireland , and the United~Kingdom joined in 1973 , Greece in 1981 , Spain and Portugal in 1986 , Austria , Finland , and Sweden in 1995 . The largest expansion occurred in 2004 with 10 new countries joining . | Initially , the EU consisted of six countries : Belgium , Germany , France , Italy , Luxembourg , |
4,063 | silver/p59/d0705 | and | conjunction | neutral | null | null | null | Initially , the EU consisted of six countries : Belgium , Germany , France , Italy , Luxembourg , | Initially , the EU consisted of six countries : Belgium , Germany , France , Italy , Luxembourg , and the Netherlands . Denmark , Ireland , and the United~Kingdom joined in 1973 , Greece in 1981 , Spain and Portugal in 1986 , Austria , Finland , and Sweden in 1995 . The largest expansion occurred in 2004 with 10 new countries joining . |
4,064 | silver/p59/d0707 | and | conjunction | entailment | null | null | null | Conservative Leader of the Opposition David Cameron responded to the resignations by saying the government was " divided and in meltdown " . | Conservative Leader of the Opposition David Cameron responded to the resignations by saying the government was " divided |
4,065 | silver/p59/d0707 | and | conjunction | neutral | null | null | null | Conservative Leader of the Opposition David Cameron responded to the resignations by saying the government was " divided | Conservative Leader of the Opposition David Cameron responded to the resignations by saying the government was " divided and in meltdown " . |
4,066 | silver/p59/d0755 | and | conjunction | entailment | null | null | null | Three leading Japanese banks have announced an alliance forming the world 's largest financial group . Fuji~Bank , Dai-Ichi~Kangyo and the Industrial~Bank of Japan say their operations will be integrated by the spring of 2002 . | Three leading Japanese banks have announced an alliance forming the world 's largest financial group . Fuji~Bank , Dai-Ichi~Kangyo |
4,067 | silver/p59/d0755 | and | conjunction | neutral | null | null | null | Three leading Japanese banks have announced an alliance forming the world 's largest financial group . Fuji~Bank , Dai-Ichi~Kangyo | Three leading Japanese banks have announced an alliance forming the world 's largest financial group . Fuji~Bank , Dai-Ichi~Kangyo and the Industrial~Bank of Japan say their operations will be integrated by the spring of 2002 . |
4,068 | silver/p59/d0757 | and | conjunction | entailment | null | null | null | The IOC meeting will also review reports submitted by the organizing committees of the 1998 Winter~Olympic Games in Nagano , Japan ; the 2000 Summer~Olympic Games in Sydney , Australia and the 2002 Winter~Olympic Games in the Salt~Lake~City , the United~States , respectively . | The IOC meeting will also review reports submitted by the organizing committees of the 1998 Winter~Olympic Games in Nagano , Japan ; the 2000 Summer~Olympic Games in Sydney , Australia |
4,069 | silver/p59/d0757 | and | conjunction | neutral | null | null | null | The IOC meeting will also review reports submitted by the organizing committees of the 1998 Winter~Olympic Games in Nagano , Japan ; the 2000 Summer~Olympic Games in Sydney , Australia | The IOC meeting will also review reports submitted by the organizing committees of the 1998 Winter~Olympic Games in Nagano , Japan ; the 2000 Summer~Olympic Games in Sydney , Australia and the 2002 Winter~Olympic Games in the Salt~Lake~City , the United~States , respectively . |
4,070 | silver/p59/d0758 | and | conjunction | entailment | null | null | null | Japanese drug makers are now trying to build comprehensive independent operations in research and development , production and marketing . | Japanese drug makers are now trying to build comprehensive independent operations in research |
4,071 | silver/p59/d0758 | and | conjunction | neutral | null | null | null | Japanese drug makers are now trying to build comprehensive independent operations in research | Japanese drug makers are now trying to build comprehensive independent operations in research and development , production and marketing . |
4,072 | silver/p59/d1521 | and | conjunction | entailment | null | null | null | He ran to the station and caught the train . | He ran to the station |
4,073 | silver/p59/d1521 | and | conjunction | neutral | null | null | null | He ran to the station | He ran to the station and caught the train . |
4,074 | silver/p59/d1709 | and | conjunction | entailment | null | null | null | Tomorrow is my birthday and I will be seventeen . | Tomorrow is my birthday |
4,075 | silver/p59/d1709 | and | conjunction | neutral | null | null | null | Tomorrow is my birthday | Tomorrow is my birthday and I will be seventeen . |
4,076 | silver/p59/d1997 | and | conjunction | entailment | null | null | null | I checked my watch and realized I was an hour early . | I checked my watch |
4,077 | silver/p59/d1997 | and | conjunction | neutral | null | null | null | I checked my watch | I checked my watch and realized I was an hour early . |
4,078 | silver/p59/d2088 | and | conjunction | entailment | null | null | null | Stop being lazy and find something to do . | Stop being lazy |
4,079 | silver/p59/d2088 | and | conjunction | neutral | null | null | null | Stop being lazy | Stop being lazy and find something to do . |
4,080 | silver/p59/d2184 | and | conjunction | entailment | null | null | null | He studied day and night in order to possibly become a lawyer . | He studied day |
4,081 | silver/p59/d2184 | and | conjunction | neutral | null | null | null | He studied day | He studied day and night in order to possibly become a lawyer . |
4,082 | silver/p59/d2281 | and | conjunction | entailment | null | null | null | It is getting darker and darker . | It is getting darker |
4,083 | silver/p59/d2281 | and | conjunction | neutral | null | null | null | It is getting darker | It is getting darker and darker . |
4,084 | silver/p59/d2292 | and | conjunction | entailment | null | null | null | Tom gave Mary a quick kiss and walked out the door . | Tom gave Mary a quick kiss |
4,085 | silver/p59/d2292 | and | conjunction | neutral | null | null | null | Tom gave Mary a quick kiss | Tom gave Mary a quick kiss and walked out the door . |
4,086 | silver/p59/d2371 | and | conjunction | entailment | null | null | null | My father was a contestant in a cooking contest and won first prize . | My father was a contestant in a cooking contest |
4,087 | silver/p59/d2371 | and | conjunction | neutral | null | null | null | My father was a contestant in a cooking contest | My father was a contestant in a cooking contest and won first prize . |
4,088 | silver/p59/d2583 | and | conjunction | entailment | null | null | null | Tom took off his clothes and got into the bathtub . | Tom took off his clothes |
4,089 | silver/p59/d2583 | and | conjunction | neutral | null | null | null | Tom took off his clothes | Tom took off his clothes and got into the bathtub . |
4,090 | silver/p59/d2637 | and | conjunction | entailment | null | null | null | He kissed me and then I slapped him . | He kissed me |
4,091 | silver/p59/d2637 | and | conjunction | neutral | null | null | null | He kissed me | He kissed me and then I slapped him . |
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