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74,922
The president advised the doctor .
The doctor advised the president .
0non-entailment
74,923
The student saw the managers .
The managers saw the student .
0non-entailment
74,924
The presidents encouraged the banker .
The banker encouraged the presidents .
0non-entailment
74,925
The senators supported the actor .
The actor supported the senators .
0non-entailment
74,926
The actors avoided the bankers .
The bankers avoided the actors .
0non-entailment
74,927
The senators mentioned the artist .
The artist mentioned the senators .
0non-entailment
74,928
The managers saw the secretaries .
The secretaries saw the managers .
0non-entailment
74,929
The professor recognized the secretaries .
The secretaries recognized the professor .
0non-entailment
74,930
The author contacted the scientist .
The scientist contacted the author .
0non-entailment
74,931
The athletes recommended the senator .
The senator recommended the athletes .
0non-entailment
74,932
The president avoided the athlete .
The athlete avoided the president .
0non-entailment
74,933
The judges supported the banker .
The banker supported the judges .
0non-entailment
74,934
The senators contacted the scientists .
The scientists contacted the senators .
0non-entailment
74,935
The banker thanked the tourist .
The tourist thanked the banker .
0non-entailment
74,936
The tourists admired the secretary .
The secretary admired the tourists .
0non-entailment
74,937
The lawyers helped the judge .
The judge helped the lawyers .
0non-entailment
74,938
The actors introduced the lawyer .
The lawyer introduced the actors .
0non-entailment
74,939
The professors advised the judge .
The judge advised the professors .
0non-entailment
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The artists contacted the professor .
The professor contacted the artists .
0non-entailment
74,941
The student recognized the senator .
The senator recognized the student .
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74,942
The secretary introduced the judge .
The judge introduced the secretary .
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The senators introduced the president .
The president introduced the senators .
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The lawyer introduced the professors .
The professors introduced the lawyer .
0non-entailment
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The tourist believed the students .
The students believed the tourist .
0non-entailment
74,946
The athlete recommended the judge .
The judge recommended the athlete .
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The secretary recommended the lawyer .
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The authors recommended the professors .
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The students thanked the authors .
The authors thanked the students .
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The tourist contacted the judges .
The judges contacted the tourist .
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The authors introduced the students .
The students introduced the authors .
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The author contacted the professors .
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The judges recommended the president .
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The students believed the judges .
The judges believed the students .
0non-entailment
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The athletes supported the president .
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The managers introduced the bankers .
The bankers introduced the managers .
0non-entailment
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The authors encouraged the judges .
The judges encouraged the authors .
0non-entailment
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The actor stopped the senators .
The senators stopped the actor .
0non-entailment
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The artist avoided the senators .
The senators avoided the artist .
0non-entailment
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The actors recognized the student .
The student recognized the actors .
0non-entailment
74,961
The senators stopped the presidents .
The presidents stopped the senators .
0non-entailment
74,962
The scientists encouraged the lawyers .
The lawyers encouraged the scientists .
0non-entailment
74,963
The professors helped the presidents .
The presidents helped the professors .
0non-entailment
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The authors stopped the senator .
The senator stopped the authors .
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The professor advised the manager .
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The manager introduced the judge .
The judge introduced the manager .
0non-entailment
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The presidents contacted the scientist .
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The lawyer advised the author .
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The students recognized the professor .
The professor recognized the students .
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The actor believed the scientist .
The scientist believed the actor .
0non-entailment
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The artist contacted the tourist .
The tourist contacted the artist .
0non-entailment
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The president helped the actors .
The actors helped the president .
0non-entailment
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The professors introduced the secretary .
The secretary introduced the professors .
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The doctors advised the senator .
The senator advised the doctors .
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The doctors believed the student .
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0non-entailment
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The judges mentioned the student .
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The managers stopped the president .
The president stopped the managers .
0non-entailment
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The artist introduced the tourists .
The tourists introduced the artist .
0non-entailment
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The manager contacted the secretaries .
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0non-entailment
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The judges recommended the secretary .
The secretary recommended the judges .
0non-entailment
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The actors called the professor .
The professor called the actors .
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The scientists avoided the actors .
The actors avoided the scientists .
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The banker encouraged the artists .
The artists encouraged the banker .
0non-entailment
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The artists believed the bankers .
The bankers believed the artists .
0non-entailment
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The professor recommended the manager .
The manager recommended the professor .
0non-entailment
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The doctor thanked the secretary .
The secretary thanked the doctor .
0non-entailment
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The banker admired the actors .
The actors admired the banker .
0non-entailment
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The banker thanked the lawyer .
The lawyer thanked the banker .
0non-entailment
74,992
The managers called the athletes .
The athletes called the managers .
0non-entailment
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The tourists introduced the authors .
The authors introduced the tourists .
0non-entailment
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The secretary mentioned the authors .
The authors mentioned the secretary .
0non-entailment
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The banker admired the tourist .
The tourist admired the banker .
0non-entailment
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The lawyers thanked the managers .
The managers thanked the lawyers .
0non-entailment
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The authors recognized the judges .
The judges recognized the authors .
0non-entailment
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The senators saw the author .
The author saw the senators .
0non-entailment
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The students stopped the professors .
The professors stopped the students .
0non-entailment
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The athletes thanked the student .
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0non-entailment
75,001
The lawyers recommended the professor .
The professor recommended the lawyers .
0non-entailment
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The student believed the presidents .
The presidents believed the student .
0non-entailment
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The tourist believed the scientists .
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0non-entailment
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The doctors supported the author .
The author supported the doctors .
0non-entailment
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The doctor encouraged the author .
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0non-entailment
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The managers encouraged the secretaries .
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The lawyers advised the tourist .
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The presidents stopped the student .
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The judges avoided the secretary .
The secretary avoided the judges .
0non-entailment
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The author recognized the artist .
The artist recognized the author .
0non-entailment
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The artist mentioned the manager .
The manager mentioned the artist .
0non-entailment
75,012
The students thanked the managers .
The managers thanked the students .
0non-entailment
75,013
The secretary admired the presidents .
The presidents admired the secretary .
0non-entailment
75,014
The artist introduced the judges .
The judges introduced the artist .
0non-entailment
75,015
The secretaries recommended the judges .
The judges recommended the secretaries .
0non-entailment
75,016
The manager avoided the bankers .
The bankers avoided the manager .
0non-entailment
75,017
The secretaries helped the judge .
The judge helped the secretaries .
0non-entailment
75,018
The author introduced the secretary .
The secretary introduced the author .
0non-entailment
75,019
The judge contacted the doctors .
The doctors contacted the judge .
0non-entailment
75,020
The judge believed the actors .
The actors believed the judge .
0non-entailment
75,021
The tourists recognized the senators .
The senators recognized the tourists .
0non-entailment
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

This is part of robust_NLIbut since there seems to be a bug when loading and downloading DatasetDict containing datasets with different configurations, I loaded the datasets with the differing configs as standalone datasets.

Issue here: https://github.com/huggingface/datasets/issues/4211

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