task_name
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task965_librispeech_asr_missing_word_prediction
|
task965-4eaf96fd9dcd4b22848d505fcc2f1dc8
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
as if poisoning wells were a purely feminine accomplishment and not to be dreaded in the case of a boy i'd never dream of taking a girl to ____ up i wonder at missus alexander spencer for doing it but there she wouldn't shrink from adopting a whole orphan asylum if she took it into her head
|
bring
|
task965_librispeech_asr_missing_word_prediction
|
task965-d393ba6f5fbf45a88257134d1771e3a1
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
missus rachel would have liked to stay until matthew came home with his imported orphan but reflecting that it would be a good two hours at least before his arrival she concluded to go up the road ____ robert bell's and tell the news it would certainly make a sensation second to none
|
to
|
task965_librispeech_asr_missing_word_prediction
|
task965-927d6195ab0c4cdf9bfc4575a9187489
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and missus rachel dearly loved to make a sensation so she took herself away somewhat to marilla's relief for the latter felt her doubts and fears reviving under the influence of missus ____ pessimism well of all things that ever were or will be ejaculated missus rachel when she was safely out in the lane
|
rachel's
|
task965_librispeech_asr_missing_word_prediction
|
task965-8bfde52d80144ad78f97281c0db1e17e
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
it does really seem as if i must be dreaming well i'm sorry for that poor young one and no mistake matthew ____ marilla don't know anything about children and they'll expect him to be wiser and steadier that his own grandfather
|
and
|
task965_librispeech_asr_missing_word_prediction
|
task965-baf05996a1fa458891201821c1306ab5
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
it seems uncanny to think of a child at green gables somehow there's never been one there for matthew and marilla were grown up when the new house was built if they ever were children which is ____ to believe when one looks at them i wouldn't be in that orphan's shoes for anything
|
hard
|
task965_librispeech_asr_missing_word_prediction
|
task965-1e39bb5671184bfcaa28672d56b2a895
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
____ but i pity him that's what so said missus rachel to the wild rose bushes out of the fulness of her heart
|
my
|
task965_librispeech_asr_missing_word_prediction
|
task965-b0224a2fad934e7faaa0465c4deabe1b
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
chapter two matthew cuthbert is surprised matthew cuthbert and the sorrel mare jogged comfortably over the eight miles to bright river it was a ____ road running along between snug farmsteads with now and again a bit of balsamy fir wood to drive through
|
pretty
|
task965_librispeech_asr_missing_word_prediction
|
task965-e12fbeb8c6c042538d09e2b23b691678
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
or a hollow where wild plums hung out their filmy bloom the air was sweet with the breath of many apple orchards and the meadows ____ away in the distance to horizon mists of pearl and purple while the little birds sang as if it were the one day of summer in all the year
|
sloped
|
task965_librispeech_asr_missing_word_prediction
|
task965-cbc844d99b70455ba6a968f85f3a3d7e
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
matthew enjoyed the drive after his own fashion except during the moments when he met ____ and had to nod to them for in prince edward island you are supposed to nod to all and sundry you meet on the road whether you know them or not matthew dreaded all women except marilla and missus rachel
|
women
|
task965_librispeech_asr_missing_word_prediction
|
task965-4315da81f0294b21a4cefda92efaeade
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
he had an uncomfortable feeling that the mysterious creatures were secretly laughing at him he may have ____ quite right in thinking so for he was an odd looking personage with an ungainly figure and long iron gray hair that touched his stooping shoulders
|
been
|
task965_librispeech_asr_missing_word_prediction
|
task965-53913a94557d412193bbb9051420f82a
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and a full soft ____ beard which he had worn ever since he was twenty in fact he had looked at twenty very much as he looked at sixty lacking a little of the grayness when he reached bright river there was no sign of any train
|
brown
|
task965_librispeech_asr_missing_word_prediction
|
task965-3ae959912eff48d5be37be0fbe6720e6
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
he thought he was too early so he tied his horse in the yard of the small bright river hotel and went over to the station house the long platform was almost deserted the only living creature in sight being a girl who was sitting on a pile of shingles at the ____ end
|
extreme
|
task965_librispeech_asr_missing_word_prediction
|
task965-5bc56f854b7c483b83b74c7a7a4c1883
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
matthew barely noting that it was a girl sidled past her as quickly as ____ without looking at her had he looked he could hardly have failed to notice the tense rigidity and expectation of her attitude and expression she was sitting there waiting for something or somebody
|
possible
|
task965_librispeech_asr_missing_word_prediction
|
task965-376ac4a5bdc74915b4b421012370ca09
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and since sitting and waiting was the only thing to do just then she sat and waited with all her might and main matthew encountered the stationmaster locking up the ticket office preparatory to going home for supper and asked ____ if the five thirty train would soon be along
|
him
|
task965_librispeech_asr_missing_word_prediction
|
task965-3463a020ccdb445eab96170721f473ef
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
the five thirty train has been in and gone half an hour ago answered that brisk official but there was a passenger dropped off for you a little girl she's sitting out there on the shingles i asked her to go into ____ ladies waiting room but she informed me gravely that she preferred to stay outside
|
the
|
task965_librispeech_asr_missing_word_prediction
|
task965-81cc76fd3e3644fca8dd30c7e4949d78
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
she's a case i ____ say i'm not expecting a girl said matthew blankly it's a boy i've come for he should be here missus alexander spencer was to bring him over from nova scotia for me the stationmaster whistled
|
should
|
task965_librispeech_asr_missing_word_prediction
|
task965-da5ead8a7b714d3bb26e75790cb07190
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
guess there's some mistake ____ said missus spencer came off the train with that girl and gave her into my charge said you and your sister were adopting her from an orphan asylum and that you would be along for her presently that's all i know about it and i haven't got any more orphans concealed hereabouts
|
he
|
task965_librispeech_asr_missing_word_prediction
|
task965-b59527bffb704daa9766d541ccae7db5
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i don't understand said matthew helplessly wishing that marilla was at hand to cope with the situation well you'd better question the girl said the station master carelessly i dare say ____ be able to explain she's got a tongue of her own that's certain
|
she'll
|
task965_librispeech_asr_missing_word_prediction
|
task965-79b43632bfab442fa88deaf6d30d7c9f
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
maybe they were out of boys of the brand you wanted he walked jauntily away being hungry and the unfortunate matthew was left to do that which was harder for him than bearding a lion in its den walk up to a girl a strange girl ____ orphan girl
|
an
|
task965_librispeech_asr_missing_word_prediction
|
task965-79059ef6148b4733bba980959249fc38
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and demand of her why she wasn't a boy matthew groaned in spirit as he turned about and shuffled gently down the platform towards her she had been watching him ever since he had passed her and she had her ____ on him now matthew was not looking at her
|
eyes
|
task965_librispeech_asr_missing_word_prediction
|
task965-8c51529354c84d8a9bbf0bde354b5139
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
a child of about eleven garbed in ____ very short very tight very ugly dress of yellowish gray wincey she wore a faded brown sailor hat and beneath the hat extending down her back were two braids of very thick decidedly red hair
|
a
|
task965_librispeech_asr_missing_word_prediction
|
task965-28451d144ba14336825c1ec4c0e39157
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
her face was small white and thin also much freckled her mouth was large and so were her eyes which looked green in ____ lights and moods and gray in others so far the ordinary observer an extraordinary observer
|
some
|
task965_librispeech_asr_missing_word_prediction
|
task965-a4d314a4c780497b8ffdbea69d5f37c4
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
____ have seen that the chin was very pointed and pronounced that the big eyes were full of spirit and vivacity that the mouth was sweet lipped and expressive that the forehead was broad and full in short our discerning extraordinary observer might have concluded
|
might
|
task965_librispeech_asr_missing_word_prediction
|
task965-5f3e54cb108a4a2997a87488ffc553f2
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
was so ludicrously afraid matthew however was spared the ordeal of speaking first for as soon as she concluded that he was coming to her she stood up ____ with one thin brown hand the handle of a shabby old fashioned carpet bag the other she held out to him
|
grasping
|
task965_librispeech_asr_missing_word_prediction
|
task965-6504d751fc304962bf75312054871d50
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i suppose you are mister matthew cuthbert of green gables she said in a peculiarly clear sweet voice i'm very ____ to see you i was beginning to be afraid you weren't coming for me
|
glad
|
task965_librispeech_asr_missing_word_prediction
|
task965-279e1b97844d44d7b640e61f21d849ad
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i had made up ____ mind that if you didn't come for me to night
|
my
|
task965_librispeech_asr_missing_word_prediction
|
task965-f4ac6a15a3bd42c9b6816cc028d4be20
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i wouldn't be a bit ____ and it would be lovely to sleep in a wild cherry tree all white with bloom in the moonshine don't you think you could imagine you were dwelling in marble halls couldn't you
|
afraid
|
task965_librispeech_asr_missing_word_prediction
|
task965-2e752e693da5489e89d3efb8de391d04
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
matthew had taken the scrawny little hand awkwardly in his then and there he decided what to do he could not tell this child with the glowing eyes that there had been a mistake he would take her home and let marilla do that she couldn't be left at ____ river anyhow
|
bright
|
task965_librispeech_asr_missing_word_prediction
|
task965-4c2ba8d9d6ea439aa86952476d2ca7a6
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
no matter what mistake had been made so all questions and explanations might as well be ____ until he was safely back at green gables i'm sorry i was late he said shyly come along the horse is over in the yard give me your bag oh i can carry it the child responded cheerfully
|
deferred
|
task965_librispeech_asr_missing_word_prediction
|
task965-2fb256436bb84251abcfe38e43c21ae5
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
it isn't heavy i've got all my worldly goods in it but it isn't heavy and if it isn't carried in just a certain way the handle pulls out so i'd better keep it because i know the exact knack of it it's an extremely old carpet bag oh ____ very glad you've come even if it would have been nice to sleep in a wild cherry tree
|
i'm
|
task965_librispeech_asr_missing_word_prediction
|
task965-049b9a6babf74e88b1d325c006c47fc5
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
we've got to drive a long piece haven't we missus spencer said it was eight miles i'm glad because i love driving oh it seems so wonderful that i'm going to live with you and belong to you i've never belonged to anybody not really but the asylum was the worst i've only been in it ____ months but that was enough
|
four
|
task965_librispeech_asr_missing_word_prediction
|
task965-ec4fad60a6d5493d9a389a8c9606b2c8
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
it's worse than anything you could imagine missus ____ said it was wicked of me to talk like that
|
spencer
|
task965_librispeech_asr_missing_word_prediction
|
task965-22b30689daf04e9483855da8f2a88596
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
they were good you know the asylum people but there is so little scope for the imagination in an asylum ____ just in the other orphans it was pretty interesting to imagine things about them
|
only
|
task965_librispeech_asr_missing_word_prediction
|
task965-7932a2c7158843ea84227d05f0c5d473
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
who had been stolen away from her parents in her infancy by a cruel nurse who died before she could confess i used to lie awake at nights and imagine things ____ that because i didn't have time in the day i guess that's why i'm so thin i am dreadful thin ain't i there isn't a pick on my bones
|
like
|
task965_librispeech_asr_missing_word_prediction
|
task965-676704fe4d5b47c4901dc3da4360fb22
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i do ____ to imagine i'm nice and plump with dimples in my elbows with this matthew's companion stopped talking partly because she was out of breath and partly because they had reached the buggy not another word did she say until they had left the village and were driving down a steep little hill
|
love
|
task965_librispeech_asr_missing_word_prediction
|
task965-21dd9b621ff94b1e8da1bf87a97ea878
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
the road part of which had been cut so deeply into the soft soil that the banks fringed ____ blooming wild cherry trees and slim white birches were several feet above their heads the child put out her hand and broke off a branch of wild plum that brushed against the side of the buggy
|
with
|
task965_librispeech_asr_missing_word_prediction
|
task965-f31db027e3874b01b51597bd5d1d4add
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
isn't that beautiful what did ____ tree leaning out from the bank all white and lacy make you think of she asked well now i dunno said matthew why a bride of course a bride all in white with a lovely misty veil
|
that
|
task965_librispeech_asr_missing_word_prediction
|
task965-c789c0251173498386c01e8bc2add61f
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i've never seen one but i can imagine what she would look like i don't ever expect to be a bride myself i'm so homely nobody will ever ____ to marry me unless it might be a foreign missionary i suppose a foreign missionary mightn't be very particular
|
want
|
task965_librispeech_asr_missing_word_prediction
|
task965-7deefceea3be4520bc989cfc26241177
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
but i do hope that some day i shall have a white dress that is my highest ideal of earthly bliss i just love pretty clothes and i've never had a pretty dress in my life that i can ____ but of course it's all the more to look forward to isn't it and then
|
remember
|
task965_librispeech_asr_missing_word_prediction
|
task965-9e910aeff750484fbfbe983e4c2ee6d4
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
i can imagine that i'm dressed gorgeously this morning when i left the asylum i felt so ashamed because i had to wear this horrid old wincey dress all the orphans had to wear them you know a merchant in hopeton last winter donated three ____ yards of wincey to the asylum some people said it was because he couldn't sell it
|
hundred
|
task965_librispeech_asr_missing_word_prediction
|
task965-87553efb0d0b4f488451873745a244c1
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
but i'd rather believe that it was out of the kindness of his heart wouldn't you when we got on the train i felt as if everybody must be looking at me and pitying me but ____ just went to work and imagined that i had on the most beautiful pale blue silk dress because when you are imagining you might as well imagine something worth while
|
i
|
task965_librispeech_asr_missing_word_prediction
|
task965-42ac99588dc24ac495f64f18e8a8e429
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and a big hat all flowers and nodding plumes and a gold watch and kid gloves and boots i felt cheered up right away and i enjoyed my trip to the island with ____ my might i wasn't a bit sick coming over in the boat neither was missus spencer although she generally is
|
all
|
task965_librispeech_asr_missing_word_prediction
|
task965-6afc8d91a9b44609b20e9cef46c49754
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
she said she hadn't time to get sick watching to see that i didn't fall overboard she said she never saw the beat of me for prowling about but if it kept her from being seasick it's a mercy i did prowl isn't it and i wanted to see everything that was to be seen on that boat ____ i didn't know whether i'd ever have another opportunity
|
because
|
task965_librispeech_asr_missing_word_prediction
|
task965-36531aa78782429e89aa19db676e0707
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
oh there are a lot more cherry trees all in bloom this island is the bloomiest place i just love it already and i'm so glad i'm going to live here i've always heard ____ prince edward island was the prettiest place in the world
|
that
|
task965_librispeech_asr_missing_word_prediction
|
task965-09e8aacc4de8418a8ec374aa82689a85
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and i used to imagine i was living here but i never really expected i would it's delightful when your imaginations come true isn't it but those red roads are so funny when we got ____ the train at charlottetown and the red roads began to flash past i asked missus spencer what made them red
|
into
|
task965_librispeech_asr_missing_word_prediction
|
task965-be14226b574642679ecfe2cb5afac877
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
and she said she didn't know and for pity's sake not to ask her any more questions she said i must have asked her a thousand already i suppose i had ____ but how you going to find out about things if you don't ask questions and what does make the roads red well now i dunno said matthew
|
too
|
task965_librispeech_asr_missing_word_prediction
|
task965-9a149cede8a146d298f0fedb50d18b9a
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
there'd be no scope for imagination then would there but am i talking too much people are always telling me i do would you rather i didn't talk if you say so i'll stop i can ____ when i make up my mind to it although it's difficult matthew
|
stop
|
task965_librispeech_asr_missing_word_prediction
|
task965-8c49ef99ff1b4352a72451529ae40595
|
You are given an English sentence with a blank, and you need to predict the missing word. After completing, the whole sentence should be gramatically correct and non-ambiguous.
|
was enjoying himself like most quiet folks he liked talkative people when they were willing to do the talking themselves and did not expect him to keep up his end of it but he had never expected to enjoy the society of a little girl women were bad enough in all conscience ____ little girls were worse
|
but
|
task966_ruletaker_fact_checking_based_on_given_context
|
task966-b59517c25b6940a7a56c59d120d6ee6c
|
Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
|
Paragraph: Anne is rough. Cold people are rough. If Anne is green then Anne is blue. Rough people are young. Anne is blue. If someone is rough and furry then they are blue. All young people are cold. If someone is rough and nice then they are green. Anne is young. Question: Anne is rough.
|
True
|
task966_ruletaker_fact_checking_based_on_given_context
|
task966-51c4184a7e0e4fc38df4d1100599d2ad
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Anne is rough. Cold people are rough. If Anne is green then Anne is blue. Rough people are young. Anne is blue. If someone is rough and furry then they are blue. All young people are cold. If someone is rough and nice then they are green. Anne is young. Question: Anne is not young.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-3e75c368d2d44c0d9eb319a504d3944b
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Harry is kind. Harry is white. Harry is round. If someone is furry then they are white. If someone is green and kind then they are round. If someone is green then they are blue. If someone is not white and not furry then they are not kind. Harry is quiet. If someone is green and not round then they are furry. If someone is green then they are furry. Harry is furry. If someone is not kind then they are not green. Harry is blue. Harry is green. If someone is green then they are quiet. Question: Harry is green.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-dc31767d134c4a328324d4417047844f
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Harry is kind. Harry is white. Harry is round. If someone is furry then they are white. If someone is green and kind then they are round. If someone is green then they are blue. If someone is not white and not furry then they are not kind. Harry is quiet. If someone is green and not round then they are furry. If someone is green then they are furry. Harry is furry. If someone is not kind then they are not green. Harry is blue. Harry is green. If someone is green then they are quiet. Question: Harry is not white.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-3629cf85b3584e53869fb6ef3b801c63
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is cold. Furry, kind things are smart. All cold, smart things are kind. Gary is smart. If something is smart and furry then it is cold. If something is kind and round then it is nice. Gary is round. All cold things are round. Gary is big. Gary is furry. Gary is kind. Gary is nice. If Gary is kind then Gary is round. If something is furry and cold then it is kind. Nice, furry things are round. Question: Gary is kind.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-5151970df869416e9821c51bb35b65a8
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is cold. Furry, kind things are smart. All cold, smart things are kind. Gary is smart. If something is smart and furry then it is cold. If something is kind and round then it is nice. Gary is round. All cold things are round. Gary is big. Gary is furry. Gary is kind. Gary is nice. If Gary is kind then Gary is round. If something is furry and cold then it is kind. Nice, furry things are round. Question: Gary is not smart.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-33628ac8d20549b1a5a81148d6db9711
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is green. Erin is smart. Charlie is quiet. Bob is not green. Gary is big. If Charlie is not smart then Charlie is furry. Bob is quiet. Gary is smart. Charlie is cold. All quiet people are smart. Bob is smart. If Charlie is quiet and Charlie is not cold then Charlie is furry. Charlie is furry. Question: Bob is quiet.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-0b9ab67c5fa14a64b4e0f63127ecd0f6
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is green. Erin is smart. Charlie is quiet. Bob is not green. Gary is big. If Charlie is not smart then Charlie is furry. Bob is quiet. Gary is smart. Charlie is cold. All quiet people are smart. Bob is smart. If Charlie is quiet and Charlie is not cold then Charlie is furry. Charlie is furry. Question: Gary is not green.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-569d9f9e71874bb28f175ca8ce4a4935
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The cat is nice. The cat is not red. The cat is blue. If someone is red then they are not young. Question: The cat is blue.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-5ecfec288dcd4e6599f3a4344d7f84a3
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The cat is nice. The cat is not red. The cat is blue. If someone is red then they are not young. Question: The cat is red.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e33c96d481ba4dc69c8f8da5d821d98a
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something needs the squirrel and it eats the squirrel then the squirrel does not see the bald eagle. The tiger does not eat the squirrel. The bald eagle needs the tiger. If something is green and it does not need the bald eagle then the bald eagle sees the squirrel. If something needs the squirrel and it does not need the bald eagle then it does not see the tiger. If something does not see the tiger then the tiger sees the squirrel. The squirrel is green. If something eats the tiger then it eats the squirrel. If something eats the tiger and it eats the squirrel then the tiger eats the bald eagle. Question: The bald eagle needs the tiger.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-ac35675d70d44f658bc37dce989961cb
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something needs the squirrel and it eats the squirrel then the squirrel does not see the bald eagle. The tiger does not eat the squirrel. The bald eagle needs the tiger. If something is green and it does not need the bald eagle then the bald eagle sees the squirrel. If something needs the squirrel and it does not need the bald eagle then it does not see the tiger. If something does not see the tiger then the tiger sees the squirrel. The squirrel is green. If something eats the tiger then it eats the squirrel. If something eats the tiger and it eats the squirrel then the tiger eats the bald eagle. Question: The tiger eats the squirrel.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-db9eba2144e94bb3bc09b623f341728b
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is smart. Gary is furry. If something is blue then it is red. Charlie is smart. All blue, white things are rough. If something is white and smart then it is red. Bob is red. Blue, rough things are furry. White, red things are big. All blue things are smart. Question: Charlie is smart.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-4333a7558b3741e68d276227b3334423
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is smart. Gary is furry. If something is blue then it is red. Charlie is smart. All blue, white things are rough. If something is white and smart then it is red. Bob is red. Blue, rough things are furry. White, red things are big. All blue things are smart. Question: Fiona is not smart.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-0a639e35bd3a4ddcb459c591e1facfaf
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The cat eats the cow. The rabbit is nice. If something visits the cow and it is rough then the cow likes the cat. The rabbit does not visit the cat. The cow is big. The rabbit does not like the cat. If something is nice and rough then it visits the cat. The cat is cold. If something is cold and it likes the cow then the cow is not big. If something visits the cat and the cat does not eat the cow then it is not cold. If the cow eats the rabbit then the rabbit is nice. If the rabbit is nice then the rabbit eats the cat. If something is big and it visits the cat then it eats the cow. The cow eats the cat. The cat is rough. If something does not eat the rabbit and it does not eat the cow then it visits the cow. The rabbit likes the cow. The cat does not visit the rabbit. Question: The cat is cold.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-8ed3e2ae98d4488087e84c833c469be9
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The cat eats the cow. The rabbit is nice. If something visits the cow and it is rough then the cow likes the cat. The rabbit does not visit the cat. The cow is big. The rabbit does not like the cat. If something is nice and rough then it visits the cat. The cat is cold. If something is cold and it likes the cow then the cow is not big. If something visits the cat and the cat does not eat the cow then it is not cold. If the cow eats the rabbit then the rabbit is nice. If the rabbit is nice then the rabbit eats the cat. If something is big and it visits the cat then it eats the cow. The cow eats the cat. The cat is rough. If something does not eat the rabbit and it does not eat the cow then it visits the cow. The rabbit likes the cow. The cat does not visit the rabbit. Question: The rabbit visits the cat.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-b590ebb6eab84bd6bcc6915ac7959413
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If Dave is not young then Dave is quiet. Fiona is blue. Dave is blue. If someone is not cold and not blue then they are not white. If someone is white and smart then they are not cold. Erin is round. Question: Dave is blue.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-8a16f868d0f8472981b4942181d53800
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If Dave is not young then Dave is quiet. Fiona is blue. Dave is blue. If someone is not cold and not blue then they are not white. If someone is white and smart then they are not cold. Erin is round. Question: Erin is not round.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-0fb39c6910644dfebed584ed113416ab
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The bald eagle visits the mouse. The mouse sees the bald eagle. If someone visits the bald eagle and the bald eagle is big then the bald eagle likes the mouse. The mouse likes the bald eagle. If someone sees the mouse and the mouse sees the bald eagle then they are rough. Question: The mouse sees the bald eagle.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-d9642efadd48404d89398284613f58bb
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The bald eagle visits the mouse. The mouse sees the bald eagle. If someone visits the bald eagle and the bald eagle is big then the bald eagle likes the mouse. The mouse likes the bald eagle. If someone sees the mouse and the mouse sees the bald eagle then they are rough. Question: The mouse does not like the bald eagle.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-772587fa2b124df8a969f4063d7659f3
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Anne is kind. If someone is young and not cold then they are rough. Anne is rough. Harry is not furry. All red people are kind. Erin is furry. Erin is kind. Harry is rough. Harry is kind. Bob is rough. Bob is cold. If someone is red and kind then they are not rough. Harry is not cold. Harry is blue. Anne is cold. Question: Erin is kind.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-88c923b699cb4cf7bacdaebe37d68787
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Anne is kind. If someone is young and not cold then they are rough. Anne is rough. Harry is not furry. All red people are kind. Erin is furry. Erin is kind. Harry is rough. Harry is kind. Bob is rough. Bob is cold. If someone is red and kind then they are not rough. Harry is not cold. Harry is blue. Anne is cold. Question: Anne is not rough.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-8badba62f1384f63aa4013455b20684f
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is cold then it is not nice. All big things are cold. The bear is young. If the bear is young and the bear is not cold then the bear is rough. The bear is cold. The bear is rough. All big things are cold. All big things are not young. If something is not young and not big then it is cold. Question: The bear is rough.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e3f4874bd078497dabe735b7b37fd367
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is cold then it is not nice. All big things are cold. The bear is young. If the bear is young and the bear is not cold then the bear is rough. The bear is cold. The bear is rough. All big things are cold. All big things are not young. If something is not young and not big then it is cold. Question: The bear is not cold.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-0df4694425b04daeabaa1553d30a3de9
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is red and it chases the bald eagle then it eats the cat. If something sees the cat and it sees the bald eagle then the cat eats the bald eagle. The bald eagle is red. The bald eagle sees the cat. The cat eats the bald eagle. The cat sees the bald eagle. The cat chases the bald eagle. The bald eagle is cold. The cat is young. The bald eagle eats the cat. The bald eagle chases the cat. The cat is red. The cat is big. If something is cold and it chases the cat then the cat is big. If something eats the bald eagle and the bald eagle chases the cat then the bald eagle is big. The bald eagle is green. The bald eagle is big. If something sees the bald eagle then the bald eagle eats the cat. The cat is green. The bald eagle is young. If the bald eagle sees the cat and the cat is young then the bald eagle eats the cat. The cat is cold. Question: The cat is cold.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-761db14657b14f6ca6e57cac8eb79daa
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is red and it chases the bald eagle then it eats the cat. If something sees the cat and it sees the bald eagle then the cat eats the bald eagle. The bald eagle is red. The bald eagle sees the cat. The cat eats the bald eagle. The cat sees the bald eagle. The cat chases the bald eagle. The bald eagle is cold. The cat is young. The bald eagle eats the cat. The bald eagle chases the cat. The cat is red. The cat is big. If something is cold and it chases the cat then the cat is big. If something eats the bald eagle and the bald eagle chases the cat then the bald eagle is big. The bald eagle is green. The bald eagle is big. If something sees the bald eagle then the bald eagle eats the cat. The cat is green. The bald eagle is young. If the bald eagle sees the cat and the cat is young then the bald eagle eats the cat. The cat is cold. Question: The bald eagle does not see the cat.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e82aca0421e9456494b873a6dcae76a7
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is white. If someone is red then they are blue. Fiona is green. Fiona is round. If someone is blue and round then they are young. Fiona is blue. Fiona is young. All nice people are young. Nice people are blue. Fiona is red. Young people are green. If Fiona is blue then Fiona is nice. Fiona is nice. Question: Fiona is round.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-fdaea609514e4b46b59c48c5798ac536
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is white. If someone is red then they are blue. Fiona is green. Fiona is round. If someone is blue and round then they are young. Fiona is blue. Fiona is young. All nice people are young. Nice people are blue. Fiona is red. Young people are green. If Fiona is blue then Fiona is nice. Fiona is nice. Question: Fiona is not red.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-6c6220f650aa480fac4af1cf4053d2b8
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Bob is furry. Bob is rough. Bob is smart. Bob is red. Bob is quiet. Bob is white. Bob is nice. Rough, smart people are white. Question: Bob is rough.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-f32ff90232c64a06a2435ae32d4fbb1f
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Bob is furry. Bob is rough. Bob is smart. Bob is red. Bob is quiet. Bob is white. Bob is nice. Rough, smart people are white. Question: Bob is not smart.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-8704e0c03c7948deb9a4603540a43234
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The dog visits the squirrel. The squirrel chases the dog. If something is young then it chases the squirrel. The dog is round. The dog is green. If the dog is round and the dog likes the squirrel then the squirrel likes the dog. The squirrel is green. The dog likes the squirrel. The squirrel likes the dog. Question: The dog is round.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-1d7708dc676b4adeb0c0a526b639e40c
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The dog visits the squirrel. The squirrel chases the dog. If something is young then it chases the squirrel. The dog is round. The dog is green. If the dog is round and the dog likes the squirrel then the squirrel likes the dog. The squirrel is green. The dog likes the squirrel. The squirrel likes the dog. Question: The squirrel is not green.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-021af43436554e31a4e43b77550f53e9
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The mouse visits the dog. The dog visits the mouse. The mouse is big. The dog is big. If the dog visits the mouse then the dog needs the mouse. The mouse is red. The dog is young. If something is young and it visits the dog then it likes the dog. The mouse likes the dog. The mouse needs the dog. The dog likes the mouse. The mouse is green. The dog needs the mouse. The mouse is young. The mouse is kind. The dog is red. The dog is kind. The dog is green. Question: The mouse is kind.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-27f67afd1ef641b993b3a118fefc62a1
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The mouse visits the dog. The dog visits the mouse. The mouse is big. The dog is big. If the dog visits the mouse then the dog needs the mouse. The mouse is red. The dog is young. If something is young and it visits the dog then it likes the dog. The mouse likes the dog. The mouse needs the dog. The dog likes the mouse. The mouse is green. The dog needs the mouse. The mouse is young. The mouse is kind. The dog is red. The dog is kind. The dog is green. Question: The mouse is not kind.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-50b90f34a0cb43e786c38946fd06277d
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is green then it is quiet. Erin is cold. All cold, white things are young. Erin is quiet. Erin is white. Erin is nice. Erin is round. All white things are green. Quiet things are green. Erin is young. All round, white things are nice. Erin is green. If something is quiet then it is nice. Question: Erin is nice.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-88ce5d883f5145d3a8380b5159e83e2b
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If something is green then it is quiet. Erin is cold. All cold, white things are young. Erin is quiet. Erin is white. Erin is nice. Erin is round. All white things are green. Quiet things are green. Erin is young. All round, white things are nice. Erin is green. If something is quiet then it is nice. Question: Erin is not white.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-c0b2bc904b1a4223b58f1a899407aaaf
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is nice. Cold, white things are young. All rough things are red. Dave is nice. Fiona is white. Question: Fiona is nice.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e7b49d85207b475186edda2a1cc2ec4c
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Fiona is nice. Cold, white things are young. All rough things are red. Dave is nice. Fiona is white. Question: Dave is not nice.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-3e384a21014747b59e0887a46bac5ebc
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is rough. Anne is nice. Gary is white. Gary is nice. Gary is furry. Harry is not round. Anne is furry. Harry is not rough. Harry is green. Gary is round. Gary is green. Harry is furry. Harry is nice. Harry is not big. Anne is white. Gary is big. If Gary is white and Gary is rough then Gary is round. Question: Harry is not round.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-5f9cd7a28b67436494f9db93a6c0ec10
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Gary is rough. Anne is nice. Gary is white. Gary is nice. Gary is furry. Harry is not round. Anne is furry. Harry is not rough. Harry is green. Gary is round. Gary is green. Harry is furry. Harry is nice. Harry is not big. Anne is white. Gary is big. If Gary is white and Gary is rough then Gary is round. Question: Gary is not round.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-b93d5e1ac0564bdd8528d9e1b915095a
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Charlie is round. Bob is smart. Bob is green. Big people are round. All big, red people are smart. Charlie is green. Blue people are red. Bob is red. Charlie is red. Charlie is big. All big people are quiet. Bob is round. If someone is blue and quiet then they are green. All green, blue people are not round. If someone is smart then they are quiet. Charlie is not blue. Bob is big. If someone is round and not red then they are green. Charlie is smart. Charlie is quiet. Question: Charlie is big.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-84f5de4554444430b8dd0ac7e90685bb
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Charlie is round. Bob is smart. Bob is green. Big people are round. All big, red people are smart. Charlie is green. Blue people are red. Bob is red. Charlie is red. Charlie is big. All big people are quiet. Bob is round. If someone is blue and quiet then they are green. All green, blue people are not round. If someone is smart then they are quiet. Charlie is not blue. Bob is big. If someone is round and not red then they are green. Charlie is smart. Charlie is quiet. Question: Charlie is blue.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-2dc01bae27a74f7896efa4911ba53a39
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If someone is cold and not smart then they are round. If someone is big and not round then they are not smart. Anne is quiet. Anne is blue. If Anne is blue and Anne is not quiet then Anne is round. If someone is round and not blue then they are cold. All cold, big people are quiet. Anne is smart. If Anne is blue then Anne is kind. Question: Anne is smart.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-ab6022a7c64149c29db18374cf922626
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: If someone is cold and not smart then they are round. If someone is big and not round then they are not smart. Anne is quiet. Anne is blue. If Anne is blue and Anne is not quiet then Anne is round. If someone is round and not blue then they are cold. All cold, big people are quiet. Anne is smart. If Anne is blue then Anne is kind. Question: Anne is not quiet.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-d8aa6358fb524acea6214146c209ba67
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The mouse is red. If something needs the mouse then it likes the mouse. The bald eagle is kind. The mouse is kind. The bald eagle needs the mouse. The bald eagle is cold. If something eats the bald eagle and the bald eagle likes the mouse then the mouse needs the bald eagle. The bald eagle is nice. The mouse is green. The bald eagle is green. The mouse is nice. The bald eagle likes the mouse. The mouse needs the bald eagle. The mouse is cold. If something is red and it eats the mouse then it needs the bald eagle. The bald eagle is red. The bald eagle eats the mouse. The mouse likes the bald eagle. The mouse eats the bald eagle. Question: The mouse is kind.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-0a0f442b3a664c5d8df2c6eae44947fc
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The mouse is red. If something needs the mouse then it likes the mouse. The bald eagle is kind. The mouse is kind. The bald eagle needs the mouse. The bald eagle is cold. If something eats the bald eagle and the bald eagle likes the mouse then the mouse needs the bald eagle. The bald eagle is nice. The mouse is green. The bald eagle is green. The mouse is nice. The bald eagle likes the mouse. The mouse needs the bald eagle. The mouse is cold. If something is red and it eats the mouse then it needs the bald eagle. The bald eagle is red. The bald eagle eats the mouse. The mouse likes the bald eagle. The mouse eats the bald eagle. Question: The mouse does not need the bald eagle.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-6cec57fe7870411280600ec8e42a6b14
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The rabbit visits the cat. If the bear visits the cat then the cat is red. The cat is cold. If someone sees the cat and they see the rabbit then the rabbit visits the bear. The cat sees the bear. If someone visits the rabbit and they see the rabbit then the rabbit sees the bear. The rabbit sees the cat. The bear chases the cat. The cat chases the bear. The rabbit is red. The bear is young. The rabbit is nice. The bear chases the rabbit. The bear visits the rabbit. If someone visits the rabbit then they are red. The cat is blue. If someone chases the rabbit then the rabbit is young. The bear is red. If someone visits the bear and they visit the rabbit then the bear sees the cat. The rabbit sees the bear. If someone chases the rabbit and they are blue then they are young. The rabbit chases the cat. The cat is red. If someone visits the bear and the bear is cold then they see the rabbit. Question: The bear is red.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-21327bfc2e7e4b4c8355c87f26c3c9ad
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: The rabbit visits the cat. If the bear visits the cat then the cat is red. The cat is cold. If someone sees the cat and they see the rabbit then the rabbit visits the bear. The cat sees the bear. If someone visits the rabbit and they see the rabbit then the rabbit sees the bear. The rabbit sees the cat. The bear chases the cat. The cat chases the bear. The rabbit is red. The bear is young. The rabbit is nice. The bear chases the rabbit. The bear visits the rabbit. If someone visits the rabbit then they are red. The cat is blue. If someone chases the rabbit then the rabbit is young. The bear is red. If someone visits the bear and they visit the rabbit then the bear sees the cat. The rabbit sees the bear. If someone chases the rabbit and they are blue then they are young. The rabbit chases the cat. The cat is red. If someone visits the bear and the bear is cold then they see the rabbit. Question: The cat is not blue.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e36344d3c56541f18370915a6315f90f
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Charlie is not kind. Bob is not furry. If someone is furry and not young then they are not white. Charlie is furry. Bob is kind. Fiona is not kind. Bob is young. Fiona is white. Bob is smart. Anne is not red. Charlie is not green. Bob is green. Fiona is smart. Fiona is not green. Fiona is not red. Bob is not red. If someone is furry and not white then they are not green. Anne is white. Question: Fiona is not kind.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-e3f09eeb21334f87be76d921d3cd1296
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Charlie is not kind. Bob is not furry. If someone is furry and not young then they are not white. Charlie is furry. Bob is kind. Fiona is not kind. Bob is young. Fiona is white. Bob is smart. Anne is not red. Charlie is not green. Bob is green. Fiona is smart. Fiona is not green. Fiona is not red. Bob is not red. If someone is furry and not white then they are not green. Anne is white. Question: Anne is not white.
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False
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task966_ruletaker_fact_checking_based_on_given_context
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task966-4fe0bd72bbda4d74a3bd84fa258ba39a
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Anne is quiet. Harry is young. If someone is not kind then they are cold. Bob is young. Fiona is white. Question: Harry is young.
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True
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task966_ruletaker_fact_checking_based_on_given_context
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task966-71e016bb24d64c9d90f32e82f7a86aec
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Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If the Fact can't be marked True or False from the given paragraph, mark it as False. Don't use knowledge outside the given paragraph to check the fact.
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Paragraph: Anne is quiet. Harry is young. If someone is not kind then they are cold. Bob is young. Fiona is white. Question: Anne is not quiet.
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False
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