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
12	0.887387	true	these	The villain is the character who tends to have a negative effect on other characters.
59	0.751997	false	random	The cat sat on the mat.
-52	0.300558	true	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-37	0.998583	false	these	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-19	0.786216	true	random	And if both apply, they are essentially impossible.
-16	0.567035	false	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-38	0.423636	false	random	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
1	0.482533	true	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
15	0.140656	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
-43	0.293672	false	random	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five different people they want to dance with.
4	0.155168	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-45	0.004065	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
42	0.129321	true	these	Writing Java is similar to programming with handcuffs.
80	0.556906	false	are	Tom and Adam were whispering quietly in the theater.
-4	0.665315	true	random	The cat sat on the mat.
6	0.54697	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-42	0.743328	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
7	0.54768	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.
-48	0.675463	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
48	0.757747	false	strings	I can actually see him climbing into a Mazda saying this.
-23	0.435628	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
21	0.856581	true	these	Tom and Adam were whispering in the theater.
-29	0.055786	false	strings	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-38	0.855954	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-65	0.771919	false	these	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-84	0.516442	false	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
12	0.139769	true	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-50	0.016845	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
-93	0.616307	true	random	Notifications about Farmville and other crap 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.
-4	0.663746	false	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 be expected.
76	0.205656	true	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-20	0.983557	true	random	Chicago City Hall is the official seat of government of Chicago.
47	0.090015	false	strings	Tom and Adam were whispering in the theater.
-9	0.234908	true	are	The new gaming console is unaffordable.
-15	0.546753	true	are
-71	0.314182	true	are	And if both apply, they are essentially impossible.
-54	0.857802	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-38	0.004343	false	random	Writing Java is similar to programming with handcuffs.
81	0.363326	false	these	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-83	0.695108	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
65	0.955191	false	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
88	0.350461	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
52	0.173918	true	strings	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
79	0.627816	false	are	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
3	0.812945	false	these	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.
47	0.292478	false	random	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
64	0.481148	true	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.
28	0.034851	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-52	0.338705	true	these	John ate pasta for dinner.
-8	0.618434	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.
-24	0.354664	false	strings	Tom and Adam were whispering in the theater.
-83	0.714087	false	these	John ate pasta for supper.
72	0.044754	false	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-21	0.830264	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 be expected.
-51	0.309512	false	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
84	0.646998	true	these	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
45	0.559368	true	are	And if both apply, they are essentially impossible.
-6	0.204687	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
33	0.531484	true	these	John ate pasta for dinner.
55	0.943617	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-47	0.051228	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
91	0.751273	true	these	None of the graduates of my program have moved on to other things because the jobs suck.
-54	0.626232	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
90	0.638155	true	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-32	0.428977	true	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-31	0.831907	true	are	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
45	0.130098	true	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-66	0.440538	true	these	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.
-36	0.461914	false	are	Notifications about Farmville and other crap 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.
-32	0.735491	false	are	The cat did not sit on the mat.
-39	0.667708	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-93	0.680142	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
94	0.862306	true	strings	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
49	0.810205	false	strings	Tom and Adam were whispering in the theater.
75	0.811283	false	these
-70	0.868844	false	random	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-89	0.606281	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-6	0.116088	true	strings	He agreed with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.
1	0.734493	false	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-45	0.755614	true	these	And if both apply, they are essentially impossible.
-18	0.692817	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-49	0.299773	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.
-46	0.062276	true	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
57	0.715623	false	strings	We built our society on unclean energy.
31	0.433268	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
1	0.246604	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-83	0.503443	true	are	We built our society on clean energy.
69	0.688866	false	are	The new gaming console is affordable.
-46	0.555684	true	strings	And if both apply, they are essentially impossible.
86	0.885951	false	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
78	0.676544	true	random	We consider some words as positive examples and sample negatives at random from the dictionary.
-81	0.176307	false	random	We built our society on clean energy.
59	0.696969	false	random	I can actually see him getting into a Lincoln saying this.
-42	0.441491	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-30	0.8262	false	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.
48	0.468029	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
31	0.947088	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.
-27	0.56286	true	random	The new gaming console is unaffordable.
-79	0.126841	false	these	John ate pasta for dinner.
79	0.267451	true	random	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.

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