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
-75	0.563741	false	these	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.
-18	0.44607	true	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-66	0.861226	true	strings	The water is too cold.
48	0.136786	false	these	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
1	0.294287	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
78	0.433341	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
69	0.553402	true	strings	The villain is the character who tends to have a negative effect on other characters.
-35	0.963402	true	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-31	0.947572	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
8	0.785919	true	are	All of the graduates of my program have moved on to other things because the jobs suck.
11	0.590415	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.
-21	0.159684	false	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
1	0.114683	false	these	Tom and Adam were whispering in the theater.
-24	0.825707	true	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
97	0.667626	true	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
67	0.053613	false	random	Tom and Adam were whispering loudly in the theater.
5	0.032781	false	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
-92	0.419247	true	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-5	0.947407	false	these	We built our society on clean energy.
82	0.249408	true	these	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.
21	0.89532	false	strings	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-72	0.362288	false	these	Tom and Adam were whispering in the theater.
43	0.79867	false	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
96	0.965079	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-10	0.343871	false	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-24	0.571648	false	random	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.
-14	0.211149	true	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-7	0.682987	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.
-37	0.263542	true	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
31	0.265698	true	these	The cat sat on the mat.
90	0.57699	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-6	0.946641	false	random
-9	0.588239	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-94	0.771609	false	are	I can actually see him climbing into a Lincoln saying this.
98	0.759984	true	are	John ate pasta for dinner.
-67	0.928119	true	random	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.
2	0.624778	true	random	John ate pasta for dinner.
-59	0.579086	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
-11	0.601842	false	random	Some animals like to scratch their ears.
29	0.300243	true	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-17	0.925453	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.
30	0.679265	false	are	The cat sat on the mat.
-40	0.827727	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-80	0.468638	false	are	The new gaming console is affordable.
41	0.148192	false	random	All of the graduates of my program have moved on to other things because the jobs suck.
-40	0.149763	true	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
61	0.598667	true	are	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.
-93	0.860335	true	random	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.
-16	0.72993	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
21	0.318181	false	are	Tom and Adam were whispering in the theater.
39	0.734486	true	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.
-50	0.762411	false	are	None of the graduates of my program have moved on to other things because the jobs suck.
-92	0.71804	false	strings	The water is too cold.
48	0.165818	true	strings	The water is too hot.
-100	0.05604	false	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-35	0.138316	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.
-79	0.462949	false	random	John ate pasta for supper.
-38	0.027992	false	are	Chicago City Hall is the official seat of government of the City of Chicago.
84	0.211362	false	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.
51	0.809192	true	are	And if both apply, they are essentially possible.
35	0.652741	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-89	0.340524	true	these	Tom and Adam were whispering in the theater.
21	0.487632	true	random	Writing Java is similar to programming with handcuffs.
66	0.417127	true	strings	The market is about to get harder, but possible to navigate.
49	0.022244	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.
9	0.179182	true	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.
-2	0.595401	true	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
35	0.867536	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.
96	0.147968	true	these	Tom and Adam were whispering loudly in the theater.
-48	0.240253	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.
-13	0.238935	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
24	0.086386	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
51	0.446988	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 not be unexpected.
-55	0.449901	true	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-7	0.440701	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-64	0.715769	true	are	And if both apply, they are essentially impossible.
23	0.799902	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.
7	0.245096	false	random	Writing Java is similar to programming with handcuffs.
40	0.812864	true	strings	All animals like to scratch their ears.
-8	0.816995	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-94	0.929033	false	these	All animals like to scratch their ears.
-69	0.864784	false	these	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
94	0.772764	false	these	The water is too cold.
-40	0.02359	false	random	Tom and Adam were whispering quietly in the theater.
58	0.319392	false	are	Tom and Adam were whispering quietly in the theater.
-84	0.083821	false	are	And if both apply, they are essentially possible.
49	0.176519	true	are	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.
29	0.932293	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
38	0.44722	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.
75	0.225282	false	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-27	0.701064	true	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.
-40	0.549888	true	random	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
70	0.347911	false	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.
-59	0.04827	false	these	The new gaming console is affordable.
-88	0.817391	false	strings	The new gaming console is affordable.
64	0.004792	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-58	0.748338	true	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.
86	0.132014	false	these	Some animals like to scratch their ears.
-27	0.764531	false	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
37	0.73859	true	strings	I can actually see him getting into a Lincoln saying this.

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.