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
89	0.955808	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
68	0.560741	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-3	0.843442	false	these	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.
81	0.201965	true	are	The new gaming console is unaffordable.
97	0.193253	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
-24	0.292372	false	strings	All of the graduates of my program have moved on to other things because the jobs suck.
52	0.295843	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
9	0.889182	true	random	Some dogs like to scratch their ears.
24	0.256807	true	random	All animals like to scratch their ears.
93	0.02874	false	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
81	0.100991	false	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
8	0.554099	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-71	0.093259	false	are	Chicago City Hall is the official seat of government of Chicago.
81	0.124714	false	strings	We built our society on clean energy.
2	0.744345	true	are	The water is too cold.
55	0.372806	false	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
60	0.471177	false	these	The cat sat on the mat.
93	0.385053	false	random	The new gaming console is unaffordable.
-26	0.074557	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
2	0.397252	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
30	0.187294	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
68	0.222207	false	these	The market is about to get harder, but not impossible to navigate.
60	0.146324	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
55	0.975529	false	strings	I can actually see him climbing into a Lincoln saying this.
-10	0.500052	false	these	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-46	0.289067	false	strings	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-88	0.544143	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
19	0.24319	false	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
88	0.19627	false	strings
-33	0.010822	true	strings	Some animals like to scratch their ears.
-81	0.371695	true	are	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	0.815441	true	strings	John ate pasta for breakfast.
32	0.512622	false	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.
-71	0.154548	false	random	The water is too hot.
79	0.031818	false	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
99	0.801825	false	these	Some of the graduates of my program have moved on to other things because the jobs suck.
-73	0.445143	false	random	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
87	0.870265	false	are	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.
91	0.682885	true	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-100	0.922072	false	are	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.
24	0.72571	true	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-95	0.429818	false	these	All animals like to scratch their ears.
-18	0.569177	true	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-14	0.531765	true	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-66	0.514818	false	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-30	0.132814	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.
-21	0.076985	false	are	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
47	0.376196	false	are	All dogs like to scratch their ears.
-53	0.379388	false	these	We consider all words as positive examples and sample negatives at random from the dictionary.
99	0.996312	true	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.
42	0.408932	false	random	Tom and Adam were whispering quietly in the theater.
-56	0.030823	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
18	0.48187	true	random	None of the graduates of my program have moved on to other things because the jobs suck.
-96	0.633425	false	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-90	0.931907	true	are	All animals like to scratch their ears.
19	0.852841	true	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-50	0.120754	false	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.
-39	0.865949	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 not be unexpected.
-45	0.148376	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.
44	0.013474	false	strings	I can actually see him climbing into a Mazda saying this.
-51	0.573912	true	strings	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
88	0.524962	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.
87	0.676714	true	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
27	0.144955	false	random	Writing Java is not too different from programming with handcuffs.
-98	0.84543	false	random	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	0.99529	true	strings	John ate pasta for breakfast.
-58	0.513939	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
84	0.27193	false	these	And if both apply, they are essentially possible.
-77	0.087158	false	these	And if both apply, they are essentially possible.
-48	0.240131	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
54	0.460517	true	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.
93	0.491281	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
0	0.43135	true	these	John ate pasta for breakfast.
89	0.579483	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-43	0.181143	true	random	Tom and Adam were whispering in the theater.
-38	0.942171	false	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
1	0.894486	true	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-38	0.496205	true	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
92	0.680964	true	are	And if both apply, they are essentially possible.
14	0.853011	false	random	The cat did not sit on the mat.
-59	0.22285	false	random	John ate pasta for dinner.
-19	0.628288	true	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.
-65	0.923226	false	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-42	0.038337	false	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
66	0.513968	true	random	Tom and Adam were whispering in the theater.
1	0.229265	false	these	John ate pasta for dinner.
0	0.903611	false	these	All dogs like to scratch their ears.
-42	0.863493	true	strings	Writing Java is not too different from programming with handcuffs.
-11	0.348138	true	strings	I can actually see him getting into a Lincoln saying this.
-26	0.925219	true	these	Some dogs like to scratch their ears.
6	0.413586	true	strings
-83	0.917139	false	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
86	0.491334	true	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-5	0.806847	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.
25	0.687014	true	these	Some of the graduates of my program have moved on to other things because the jobs suck.
19	0.914344	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.
61	0.237897	true	strings	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-66	0.93619	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-99	0.226528	true	these	Chicago City Hall is the official seat of government of the City of Chicago.
75	0.497125	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.

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