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
1	0.273625	false	strings	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
2	0.251804	true	are	The new gaming console is affordable.
65	0.447911	true	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-73	0.505243	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
2	0.687635	false	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.
-55	0.472955	true	these	I can actually see him climbing into a Lincoln saying this.
-73	0.243626	true	random	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.
93	0.835223	true	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
43	0.601667	true	strings	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
87	0.18631	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
48	0.025603	false	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-65	0.445496	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
88	0.830964	true	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
93	0.473037	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.
-27	0.524804	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
28	0.252621	false	random	Some of the graduates of my program have moved on to other things because the jobs suck.
-11	0.384816	false	random	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.
-32	0.055167	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.
10	0.36457	false	are	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-78	0.421792	false	these	I can actually see him climbing into a Lincoln saying this.
-63	0.748226	false	strings	Chicago City Hall is the official seat of government of Chicago.
-25	0.318119	true	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.
-73	0.555898	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.
82	0.457455	false	these	The new gaming console is unaffordable.
10	0.143146	false	are	Tom and Adam were whispering in the theater.
61	0.526754	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
45	0.347233	true	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
82	0.71085	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.
26	0.054681	true	strings	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-73	0.684067	false	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-91	0.105414	true	these	The market is about to get harder, but not impossible to navigate.
-17	0.181263	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
59	0.480211	true	are	Writing Java is not too different from programming with handcuffs.
43	0.253333	false	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-25	0.21017	false	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
16	0.222451	false	these	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-4	0.953051	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.
6	0.671348	false	random	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-37	0.096841	true	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
45	0.835195	true	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
57	0.778247	false	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
8	0.477607	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
28	0.204606	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-81	0.499876	false	random	We consider all words as positive examples and sample negatives at random from the dictionary.
76	0.847936	false	are	The market is about to get harder, but possible to navigate.
80	0.457681	true	these	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.
-94	0.412411	false	these	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
51	0.022053	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-97	0.763139	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
39	0.50852	false	strings	John ate pasta for supper.
63	0.789684	false	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
59	0.003901	true	strings	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-100	0.528856	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.
-81	0.469174	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.
76	0.12719	true	these	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
73	0.988083	true	strings	Some dogs like to scratch their ears.
23	0.16337	true	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-65	0.528689	false	are	All animals like to scratch their ears.
-32	0.424993	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
11	0.846469	true	strings	And if both apply, they are essentially impossible.
-38	0.0856	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.
-43	0.58416	false	are	All dogs like to scratch their ears.
-2	0.782588	true	random	John ate pasta for dinner.
-41	0.66776	false	these	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.
90	0.12522	false	random	And if both apply, they are essentially possible.
60	0.117427	false	these	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-52	0.794966	false	these	John ate pasta for dinner.
25	0.384223	false	are	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-82	0.569063	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
96	0.175327	false	random	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-29	0.69251	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
63	0.679898	false	these	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-84	0.298068	false	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-7	0.657716	true	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-42	0.25643	true	strings	The market is about to get harder, but not impossible to navigate.
-70	0.038895	false	are	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
80	0.922698	true	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.
-49	0.621624	true	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.
-42	0.690055	false	strings	Chicago City Hall is the official seat of government of the City of Chicago.
13	0.718712	false	are	We consider all context words as positive examples and sample many negatives at random from the dictionary.
93	0.07972	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
90	0.712263	false	are	And if both apply, they are essentially possible.
-69	0.3274	false	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-14	0.591887	true	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
44	0.685091	false	random	The cat sat on the mat.
97	0.069257	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
-11	0.621458	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
95	0.234208	true	are	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
32	0.664268	false	strings	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.
-59	0.825498	false	are	Chicago City Hall is the official seat of government of Chicago.
62	0.669638	false	are	We built our society on unclean energy.
-74	0.118195	true	are	Some dogs like to scratch their ears.
-49	0.970067	true	random	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.
22	0.263319	false	these	Tom and Adam were whispering loudly in the theater.
43	0.455342	true	random	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-51	0.171431	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-80	0.520618	true	strings	John ate pasta for supper.
-56	0.622366	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-13	0.560121	true	these	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-71	0.548887	false	are	The water is too hot.

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