Split (1)

train · 5M rows

int int64 -100 99	float float64 0 1	bool bool 2 classes	string stringclasses 4 values	text stringlengths 0 238
-71	0.938737	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
97	0.415584	false	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
-33	0.423233	false	are	Tom and Adam were whispering quietly in the theater.
-90	0.913213	true	random	We consider all words as positive examples and sample negatives at random from the dictionary.
4	0.268595	true	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
72	0.683061	false	strings	He did not disagree with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.
-69	0.129299	true	are	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-4	0.564744	false	are	The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous other formulations of the task.
-48	0.334873	false	random	And if both apply, they are essentially impossible.
-89	0.481591	true	random	We consider some words as positive examples and sample negatives at random from the dictionary.
44	0.92119	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-95	0.767207	false	strings	Writing Java is similar to programming with handcuffs.
-1	0.252792	true	strings	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-36	0.447151	false	strings	John ate pasta for dinner.
88	0.919338	true	these	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-86	0.667797	true	strings	Tom and Adam were whispering in the theater.
37	0.613931	false	random	If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.
45	0.877269	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
44	0.060452	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-67	0.596077	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
21	0.801639	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
48	0.771312	false	random	The new gaming console is affordable.
77	0.105196	false	random	I can actually see him climbing into a Lincoln saying this.
-15	0.233443	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-17	0.192621	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
14	0.054222	false	random	None of the graduates of my program have moved on to other things because the jobs suck.
63	0.729606	true	random	All dogs like to scratch their ears.
44	0.136873	true	are	I can actually see him climbing into a Mazda saying this.
-35	0.14329	false	random	If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.
-80	0.933971	true	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
53	0.793137	true	strings	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-80	0.724208	false	are	If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would be expected to negatively impact the pipeline results.
60	0.814847	true	strings	John ate pasta for supper.
38	0.948662	true	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
-43	0.715791	true	are	John ate pasta for supper.
14	0.137705	true	are	John ate pasta for dinner.
-14	0.505222	true	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-34	0.939679	false	these	Tom and Adam were whispering quietly in the theater.
-2	0.723993	true	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
66	0.424424	true	are	Some animals like to scratch their ears.
-46	0.821604	true	strings	And if both apply, they are essentially possible.
61	0.490053	true	are	John ate pasta for dinner.
-61	0.784119	true	these	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
99	0.904913	false	random	We built our society on unclean energy.
-50	0.788528	true	these	The market is about to get harder, but not impossible to navigate.
43	0.635751	false	these	When you've got snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.
38	0.825378	true	are	Writing Java is not too different from programming with handcuffs.
11	0.574722	false	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-89	0.200374	true	strings	The villain is the character who tends to have a negative effect on other characters.
1	0.247579	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
85	0.322964	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
36	0.868699	true	random	John ate pasta for dinner.
-36	0.03332	true	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-100	0.479771	false	are	The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
-50	0.467198	false	strings	I can actually see him climbing into a Mazda saying this.
-57	0.871961	false	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-60	0.57716	false	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
27	0.51636	false	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
59	0.767357	false	these	Notifications about Farmville and other crappy apps had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.
87	0.698578	true	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
80	0.066885	true	random	Tom and Adam were whispering in the theater.
64	0.322198	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
15	0.987217	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-86	0.842039	true	random	We built our society on clean energy.
45	0.352298	true	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
99	0.264256	true	these	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-69	0.492274	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-81	0.775702	false	strings	We built our society on unclean energy.
33	0.190731	true	are	All dogs like to scratch their ears.
23	0.345123	true	random	Tom and Adam were whispering quietly in the theater.
-11	0.684771	false	random	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-16	0.549853	false	are	Tom and Adam were whispering quietly in the theater.
-79	0.955352	false	are	John ate pasta for dinner.
50	0.829598	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-61	0.461377	false	are	All dogs like to scratch their ears.
28	0.527271	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-89	0.50258	false	strings	Writing Java is not too different from programming with handcuffs.
74	0.16908	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
25	0.183144	true	strings	The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
-100	0.38949	false	strings	The cat sat on the mat.
93	0.613004	false	random	The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous other formulations of the task.
35	0.761858	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
33	0.047814	true	random	If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.
-89	0.04415	false	strings	If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.
86	0.34858	true	these	None of the graduates of my program have moved on to other things because the jobs suck.
-16	0.749676	false	are	John ate pasta for dinner.
-43	0.947869	false	strings	None of the graduates of my program have moved on to other things because the jobs suck.
71	0.674381	false	these	The water is too cold.
28	0.197879	false	random	Writing Java is not too different from programming with handcuffs.
-90	0.339237	false	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-35	0.915854	false	are	The market is about to get harder, but not impossible to navigate.
12	0.295871	true	these	John ate pasta for dinner.
-89	0.874626	false	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-7	0.698449	true	random	I can actually see him getting into a Lincoln saying this.
60	0.169772	true	these	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
1	0.495356	false	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-74	0.284506	true	strings	Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.
-9	0.99578	true	random	Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.
90	0.117936	true	random	The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
4	0.980371	false	are	And if both apply, they are essentially impossible.

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