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
-9	0.247908	false	strings	Tom and Adam were whispering in the theater.
37	0.888976	false	these	Chicago City Hall is the official seat of government of Chicago.
-20	0.625516	false	these	The market is about to get harder, but not impossible to navigate.
18	0.251062	false	are	All dogs like to scratch their ears.
7	0.471907	false	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-31	0.792738	true	strings	Tom and Adam were whispering in the theater.
-28	0.103734	true	are	All dogs like to scratch their ears.
71	0.206969	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.
75	0.823318	true	are	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-81	0.863187	true	random
49	0.673404	true	strings	John ate pasta for breakfast.
-20	0.505618	false	are	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.
66	0.49186	false	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-93	0.055291	false	are	I can actually see him getting into a Lincoln saying this.
68	0.320481	true	are	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-72	0.538831	true	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
10	0.286018	false	are
-67	0.781821	true	strings	And if both apply, they are essentially impossible.
45	0.539494	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
52	0.443646	true	random	We consider some words as positive examples and sample negatives at random from the dictionary.
7	0.749265	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
81	0.970649	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
63	0.551773	true	strings	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 not be unexpected.
25	0.670782	true	random	I can actually see him climbing into a Lincoln saying this.
92	0.717475	false	are	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.
-66	0.191662	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
-3	0.444748	false	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-32	0.158136	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-94	0.498658	true	are	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.
74	0.964188	true	strings	I can actually see him climbing into a Mazda saying this.
46	0.777764	true	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-86	0.103044	true	random	Chicago City Hall is the official seat of government of Chicago.
-58	0.984732	true	random	Some of the graduates of my program have moved on to other things because the jobs suck.
-75	0.213258	true	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-55	0.591073	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-45	0.328172	true	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-47	0.530193	true	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
36	0.903677	true	these	The new gaming console is affordable.
0	0.099231	true	are	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
61	0.942346	true	are	John ate pasta for breakfast.
-55	0.024305	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
82	0.910193	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-40	0.771197	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-4	0.328965	true	random	Some of the graduates of my program have moved on to other things because the jobs suck.
33	0.451967	true	random	All animals like to scratch their ears.
40	0.084401	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-95	0.333008	false	these	The villain is the character who tends to have a negative effect on other characters.
-18	0.581784	true	strings	Chicago City Hall is the official seat of government of the City of Chicago.
98	0.537115	true	are	John ate pasta for breakfast.
-63	0.531937	true	are	Tom and Adam were whispering in the theater.
-10	0.499751	false	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
36	0.510345	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.
-78	0.703746	false	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-91	0.409086	true	strings	When you've got no 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.
-46	0.93062	false	strings	I can actually see him climbing into a Mazda saying this.
-85	0.848174	true	random	John ate pasta for dinner.
42	0.239228	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
75	0.627727	false	are	The cat did not sit on the mat.
-14	0.464812	false	random	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
57	0.95247	true	are	Tom and Adam were whispering in the theater.
-55	0.0958	false	strings	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.
73	0.630451	true	these	John ate pasta for supper.
-81	0.202959	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
84	0.465983	true	are	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-10	0.083425	true	are	Tom and Adam were whispering loudly in the theater.
98	0.330857	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-45	0.140776	true	random	Some dogs like to scratch their ears.
4	0.55786	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
28	0.127198	true	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-10	0.417711	false	random	The cat sat on the mat.
-82	0.069526	true	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-47	0.924399	false	strings	Chicago City Hall is the official seat of government of Chicago.
71	0.064902	false	are	John ate pasta for supper.
44	0.669344	false	strings	Some dogs like to scratch their ears.
-23	0.288529	true	these	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-76	0.86215	true	are	And if both apply, they are essentially impossible.
-26	0.469107	true	are	Some dogs like to scratch their ears.
-15	0.080358	false	random	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
66	0.892238	false	strings	Brexit is an irreversible 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.
-21	0.821968	false	these	I can actually see him getting into a Lincoln saying this.
-51	0.338964	true	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
-66	0.800027	true	random	All animals like to scratch their ears.
77	0.713651	false	random	Some animals like to scratch their ears.
-86	0.997592	false	are	Tom and Adam were whispering quietly in the theater.
-41	0.583652	false	are	Chicago City Hall is the official seat of government of the City of Chicago.
76	0.945908	false	random	None of the graduates of my program have moved on to other things because the jobs suck.
-8	0.648455	true	are	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.
-65	0.375724	false	random	Chicago City Hall is the official seat of government of Chicago.
-51	0.861446	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.
-9	0.38595	false	strings	Writing Java is not too different from programming with handcuffs.
68	0.67162	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
77	0.610772	false	strings	Tom and Adam were whispering in the theater.
74	0.676395	false	strings	The water is too cold.
-8	0.754689	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-69	0.188898	false	strings	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-30	0.450562	false	random	Some dogs like to scratch their ears.
-82	0.071973	false	strings	Tom and Adam were whispering loudly in the theater.
-82	0.910763	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
17	0.361998	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
34	0.226167	true	these	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.

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