index
int64
1
5.38k
promptID
int64
1
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int64
1
5.38k
genre
stringclasses
90 values
sentence1_binary_parse
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sentence1_parse
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sentence2_parse
float64
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11
233
sentence2
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stringclasses
2 values
201
201
201
crowd:upward_monotone:conjunction
null
null
null
null
there 's a big and old cat on the desk.
there 's a cat on the desk.
null
null
null
null
null
entailment
202
202
202
crowd:upward_monotone
null
null
null
null
there 's a cat on the desk.
there 's a big chubby cat on the desk.
null
null
null
null
null
neutral
203
203
203
crowd:upward_monotone
null
null
null
null
there 's a big chubby cat on the desk.
there 's a cat on the desk.
null
null
null
null
null
entailment
204
204
204
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she bought him a dog.
when she came back from the trip she bought him a gift.
null
null
null
null
null
neutral
205
205
205
crowd:upward_monotone
null
null
null
null
she bought him a dog.
she bought him a big dog.
null
null
null
null
null
neutral
206
206
206
crowd:upward_monotone
null
null
null
null
she bought him a big dog.
she bought him a dog.
null
null
null
null
null
entailment
207
207
207
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she has been studying french for a few years.
she has been studying astro physics for a few years.
null
null
null
null
null
neutral
208
208
208
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she has been studying french for a few years.
she has been studying some foreign languages like korean for a few years.
null
null
null
null
null
neutral
209
209
209
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she has been studying french for a few years.
she has been studying caribbean language for a few years.
null
null
null
null
null
neutral
210
210
210
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she gave a cat some milk.
she gave a dog some milk.
null
null
null
null
null
neutral
211
211
211
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she gave a cat some milk.
she gave a cub some milk.
null
null
null
null
null
neutral
212
212
212
crowd:upward_monotone
null
null
null
null
she gave a cat some milk.
she gave an adult cat some milk.
null
null
null
null
null
neutral
213
213
213
crowd:upward_monotone
null
null
null
null
she gave an adult cat some milk.
she gave a cat some milk.
null
null
null
null
null
entailment
214
214
214
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she gave a cat some milk.
she gave a monkey some milk.
null
null
null
null
null
neutral
215
215
215
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he spent a few months in scotland.
he spent a few months in wales.
null
null
null
null
null
neutral
216
216
216
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he spent a few months in scotland.
he spent a few months in madrid.
null
null
null
null
null
neutral
217
217
217
crowd:upward_monotone:conjunction
null
null
null
null
a lot of students around the world are studying english.
a lot of students around the world are studying english for better incomes and salaries.
null
null
null
null
null
neutral
218
218
218
crowd:upward_monotone:conjunction
null
null
null
null
a lot of students around the world are studying english for better incomes and salaries.
a lot of students around the world are studying english.
null
null
null
null
null
entailment
219
219
219
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there are some apples in that box.
there are some pears in that box.
null
null
null
null
null
neutral
220
220
220
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there are some apples in that box.
there are some lemons in that box.
null
null
null
null
null
neutral
221
221
221
crowd:upward_monotone:lexical_knowledge
null
null
null
null
there are some apples in that box.
there are some bananas in that box.
null
null
null
null
null
neutral
222
222
222
crowd:upward_monotone
null
null
null
null
a dog chased a cat.
a fat dog chased a cat.
null
null
null
null
null
neutral
223
223
223
crowd:upward_monotone
null
null
null
null
a fat dog chased a cat.
a dog chased a cat.
null
null
null
null
null
entailment
224
224
224
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i bought a few stamps.
i bought a few pesos.
null
null
null
null
null
neutral
225
225
225
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i bought a few stamps.
i bought a few posts.
null
null
null
null
null
neutral
226
226
226
crowd:upward_monotone
null
null
null
null
nikos kourkoulos was a greek actor.
nikos kourkoulos, who grew up in the athens district of zografou, was a greek actor.
null
null
null
null
null
neutral
227
227
227
crowd:upward_monotone
null
null
null
null
they 're digging a hole.
they 're digging a hole in the park.
null
null
null
null
null
neutral
228
228
228
crowd:upward_monotone
null
null
null
null
they 're digging a hole in the park.
they 're digging a hole.
null
null
null
null
null
entailment
229
229
229
crowd:upward_monotone
null
null
null
null
they 're digging a hole.
they 're digging a huge hole.
null
null
null
null
null
neutral
230
230
230
crowd:upward_monotone
null
null
null
null
they 're digging a huge hole.
they 're digging a hole.
null
null
null
null
null
entailment
231
231
231
crowd:upward_monotone
null
null
null
null
they 're digging a hole.
they 're digging a big hole in school.
null
null
null
null
null
neutral
232
232
232
crowd:upward_monotone
null
null
null
null
i gave a lot of cheese.
i gave a lot of cheese to baby.
null
null
null
null
null
neutral
233
233
233
crowd:upward_monotone
null
null
null
null
tom is driving a truck.
tom is driving an old truck.
null
null
null
null
null
neutral
234
234
234
crowd:upward_monotone
null
null
null
null
tom is driving an old truck.
tom is driving a truck.
null
null
null
null
null
entailment
235
235
235
crowd:upward_monotone
null
null
null
null
he drank a whole bottle of milk.
he drank a whole 1 liter bottle of milk.
null
null
null
null
null
neutral
236
236
236
crowd:upward_monotone
null
null
null
null
i 'm expecting a call.
i 'm expecting a good weather this year.
null
null
null
null
null
neutral
237
237
237
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 'm expecting a call.
i 'm expecting a good news.
null
null
null
null
null
neutral
238
238
238
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i saw a hippo at the zoo.
i saw a leon at the zoo.
null
null
null
null
null
neutral
239
239
239
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i saw a hippo at the zoo.
i saw a god at the zoo.
null
null
null
null
null
neutral
240
240
240
crowd:upward_monotone:lexical_knowledge
null
null
null
null
she was clad in a kimono.
she was clad in a bathrobe.
null
null
null
null
null
neutral
241
241
241
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my father fixed a broken chair.
my father fixed a broken cabinet.
null
null
null
null
null
neutral
242
242
242
crowd:upward_monotone:lexical_knowledge
null
null
null
null
my father fixed a broken chair.
my father fixed a broken car.
null
null
null
null
null
neutral
243
243
243
crowd:upward_monotone
null
null
null
null
a smell of lilies filled the room.
a smell of white lilies filled the room.
null
null
null
null
null
neutral
244
244
244
crowd:upward_monotone
null
null
null
null
a smell of white lilies filled the room.
a smell of lilies filled the room.
null
null
null
null
null
entailment
245
245
245
crowd:upward_monotone:conjunction
null
null
null
null
a smell of lilies filled the room.
a smell of lilies and roses filled the room.
null
null
null
null
null
neutral
246
246
246
crowd:upward_monotone:conjunction
null
null
null
null
a smell of lilies and roses filled the room.
a smell of lilies filled the room.
null
null
null
null
null
entailment
247
247
247
crowd:upward_monotone:conjunction
null
null
null
null
a smell of lilies filled the room.
a smell of lilies and azaleas filled the room.
null
null
null
null
null
neutral
248
248
248
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a smell of lilies filled the room.
a smell of farts filled the room.
null
null
null
null
null
neutral
249
249
249
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a smell of lilies filled the room.
a smell of cotton candy filled the room.
null
null
null
null
null
neutral
250
250
250
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom grabbed some paper towels and wiped his hands.
tom grabbed some piece of paper to quit the water on his hands.
null
null
null
null
null
neutral
251
251
251
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom grabbed some paper towels and wiped his hands.
tom grabbed some hand towel to dry all the water on it.
null
null
null
null
null
neutral
252
252
252
crowd:upward_monotone
null
null
null
null
rudolf has built a large house.
rudolf bush has built a large house.
null
null
null
null
null
neutral
253
253
253
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is planting a palm tree in his backyard.
tom is planting an apple tree in his backyard.
null
null
null
null
null
neutral
254
254
254
crowd:upward_monotone:lexical_knowledge
null
null
null
null
tom is planting a palm tree in his backyard.
tom is planting a lemon tree in his backyard.
null
null
null
null
null
neutral
255
255
255
crowd:upward_monotone:conjunction
null
null
null
null
tom is planting a palm tree in his backyard.
tom is planting a fig and palm tree in his backyard.
null
null
null
null
null
neutral
256
256
256
crowd:upward_monotone:conjunction
null
null
null
null
tom is planting a fig and palm tree in his backyard.
tom is planting a palm tree in his backyard.
null
null
null
null
null
entailment
257
257
257
crowd:upward_monotone:conjunction
null
null
null
null
tom is planting a palm tree in his backyard.
tom is planting a palm and an olive tree in his backyard.
null
null
null
null
null
neutral
258
258
258
crowd:upward_monotone:lexical_knowledge
null
null
null
null
stracciatella ice-cream is nothing but a plain ice-cream with chocolate chips.
mcdonalds ice-cream is nothing but a plain ice-cream with chocolate chips.
null
null
null
null
null
neutral
259
259
259
crowd:upward_monotone
null
null
null
null
she said that she takes a shower every morning.
she said that she takes a cold shower every morning.
null
null
null
null
null
neutral
260
260
260
crowd:upward_monotone
null
null
null
null
she said that she takes a cold shower every morning.
she said that she takes a shower every morning.
null
null
null
null
null
entailment
261
261
261
crowd:upward_monotone:conjunction
null
null
null
null
a human body consists of a countless number of cells.
a human body consists of a countless number of cells and tissues.
null
null
null
null
null
neutral
262
262
262
crowd:upward_monotone:conjunction
null
null
null
null
a human body consists of a countless number of cells and tissues.
a human body consists of a countless number of cells.
null
null
null
null
null
entailment
263
263
263
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a human body consists of a countless number of cells.
a human body consists of a countless number of mesh.
null
null
null
null
null
neutral
264
264
264
crowd:upward_monotone
null
null
null
null
a human body consists of a countless number of cells.
a human body consists of a countless number of red blood cells.
null
null
null
null
null
neutral
265
265
265
crowd:upward_monotone
null
null
null
null
a human body consists of a countless number of red blood cells.
a human body consists of a countless number of cells.
null
null
null
null
null
entailment
266
266
266
crowd:upward_monotone
null
null
null
null
at this school , there are no grades and students have no homework.
at this school , there are no grades and the best students have no homework.
null
null
null
null
null
neutral
267
267
267
crowd:downward_monotone:disjunction
null
null
null
null
he thinks nothing of poverty.
he thinks nothing of poverty, nor about wealth.
null
null
null
null
null
neutral
268
268
268
crowd:downward_monotone
null
null
null
null
the streets are not safe at night.
the streets are not safe at night alone.
null
null
null
null
null
neutral
269
269
269
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 'm using a mac and i ca n't read a windows 95 file.
i 'm using a windows 10 and i ca n't read a windows 95 file.
null
null
null
null
null
neutral
270
270
270
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 'm using a mac and i ca n't read a windows 95 file.
i 'm using a windows 9 and i ca n't read a windows 95 file.
null
null
null
null
null
neutral
271
271
271
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i 'm using a mac and i ca n't read a windows 95 file.
i 'm using a windows 7 and i ca n't read a windows 95 file.
null
null
null
null
null
neutral
272
272
272
crowd:upward_monotone:lexical_knowledge
null
null
null
null
a dna test proved her innocence.
a sperm test proved his innocence.
null
null
null
null
null
neutral
273
273
273
crowd:upward_monotone:conjunction
null
null
null
null
early rain and early guests seldom stay the night.
early rain and early tired guests seldom stay the night.
null
null
null
null
null
neutral
274
274
274
crowd:upward_monotone:lexical_knowledge
null
null
null
null
we have some unfinished business.
we have some unfinished investigation.
null
null
null
null
null
neutral
275
275
275
crowd:upward_monotone:lexical_knowledge
null
null
null
null
we have some unfinished business.
we have some unfinished songs.
null
null
null
null
null
neutral
276
276
276
crowd:upward_monotone:lexical_knowledge
null
null
null
null
i buy newspapers every day.
i buy magazines every day.
null
null
null
null
null
neutral
277
277
277
crowd:upward_monotone:conjunction
null
null
null
null
this is only a temporary setback.
this is only a temporary and minor setback.
null
null
null
null
null
neutral
278
278
278
crowd:upward_monotone
null
null
null
null
that baby does nothing but cry.
that spoiled baby does nothing but cry.
null
null
null
null
null
neutral
279
279
279
crowd:downward_monotone
null
null
null
null
tom is n't very good at sports.
tom is n't very good at fixing those kinds of things.
null
null
null
null
null
neutral
280
280
280
crowd:downward_monotone:lexical_knowledge
null
null
null
null
tom is n't very good at sports.
tom is n't very good at outdoor games.
null
null
null
null
null
neutral
281
281
281
crowd:downward_monotone
null
null
null
null
tom is n't very good at sports.
tom is n't very good at playing outdoor games.
null
null
null
null
null
neutral
282
282
282
crowd:upward_monotone:conjunction
null
null
null
null
juan ca n't help me.
juan and his friends ca n't help me.
null
null
null
null
null
neutral
283
283
283
crowd:upward_monotone:conjunction
null
null
null
null
juan and his friends ca n't help me.
juan ca n't help me.
null
null
null
null
null
entailment
284
284
284
crowd:upward_monotone:conjunction
null
null
null
null
juan ca n't help me.
juan and the boys ca n't help me.
null
null
null
null
null
neutral
285
285
285
crowd:upward_monotone
null
null
null
null
a photograph ca n't explain the reasons.
a photograph brightness ca n't explain the reasons.
null
null
null
null
null
neutral
286
286
286
crowd:non_monotone
null
null
null
null
that man ca n't have committed suicide.
that white man ca n't have committed suicide.
null
null
null
null
null
neutral
287
287
287
crowd:non_monotone
null
null
null
null
that man ca n't have committed suicide.
that good man ca n't have committed suicide.
null
null
null
null
null
neutral
288
288
288
crowd:upward_monotone
null
null
null
null
excitement is n't good for a man of my age.
frightful excitement is n't good for a man of my age.
null
null
null
null
null
neutral
289
289
289
crowd:upward_monotone
null
null
null
null
excitement is n't good for a man of my age.
low excitement is n't good for a man of my age.
null
null
null
null
null
neutral
290
290
290
crowd:downward_monotone:lexical_knowledge
null
null
null
null
excitement is n't good for a man of my age.
the impression is not good for a man of my age.
null
null
null
null
null
neutral
291
291
291
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he has no interest in politics.
he has no interest in the country.
null
null
null
null
null
neutral
292
292
292
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he has no interest in politics.
he has no interest in diplomacy.
null
null
null
null
null
neutral
293
293
293
crowd:upward_monotone:lexical_knowledge
null
null
null
null
he has no interest in politics.
he has no interest in sociology.
null
null
null
null
null
neutral
294
294
294
crowd:upward_monotone
null
null
null
null
some people think that advertising is a form of brainwashing.
some people think that overwhelming advertising is a form of brainwashing.
null
null
null
null
null
neutral
295
295
295
crowd:upward_monotone
null
null
null
null
some people think that overwhelming advertising is a form of brainwashing.
some people think that advertising is a form of brainwashing.
null
null
null
null
null
entailment
296
296
296
crowd:upward_monotone:lexical_knowledge
null
null
null
null
some animals , such as lions , eat meat.
some animals , such as lions , eat some animals.
null
null
null
null
null
neutral
297
297
297
crowd:upward_monotone:lexical_knowledge
null
null
null
null
some animals , such as lions , eat some animals.
some animals , such as lions , eat meat.
null
null
null
null
null
entailment
298
298
298
crowd:upward_monotone:reverse
null
null
null
null
he does nothing but play all day.
he does nothing but play online poker all day.
null
null
null
null
null
neutral
299
299
299
crowd:upward_monotone:reverse:conjunction
null
null
null
null
he does nothing but play all day.
he does nothing but play and laugh all day.
null
null
null
null
null
neutral
300
300
300
crowd:upward_monotone:lexical_knowledge
null
null
null
null
cameras do n't tend to capture reality.
mobile phones do n't tend to capture reality.
null
null
null
null
null
neutral