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
90	0.889442	true	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.
-20	0.523221	false	random	Writing Java is similar to programming with handcuffs.
-55	0.441184	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
51	0.521492	false	these	The market is about to get harder, but possible to navigate.
22	0.850536	false	strings	All of the graduates of my program have moved on to other things because the jobs suck.
-38	0.819829	false	random	All of the graduates of my program have moved on to other things because the jobs suck.
12	0.137427	true	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
90	0.731832	false	are	John ate pasta for breakfast.
-27	0.090208	false	these	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-100	0.84176	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
4	0.632724	false	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
84	0.242759	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-93	0.512528	false	strings	The water is too hot.
48	0.063719	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.
52	0.353427	false	these	All animals like to scratch their ears.
85	0.760526	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.
-27	0.604694	true	strings	The villain is the character who tends to have a negative effect on other characters.
19	0.801962	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-29	0.543626	true	random	I can actually see him climbing into a Lincoln saying this.
49	0.668561	false	random	I can actually see him climbing into a Lincoln saying this.
-1	0.24288	false	are	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-27	0.36627	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-80	0.668065	false	strings	The cat did not sit on the mat.
58	0.907414	true	these	I can actually see him climbing into a Lincoln saying this.
31	0.469066	true	random	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-48	0.022843	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
-39	0.852924	true	these	I can actually see him climbing into a Mazda saying this.
-24	0.545544	true	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-29	0.768482	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.
-43	0.476594	false	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-39	0.929989	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
99	0.065222	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-75	0.084029	false	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-15	0.573075	true	are	Chicago City Hall is the official seat of government of the City of Chicago.
18	0.361548	false	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.
18	0.386196	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-83	0.469198	false	strings	Some animals like to scratch their ears.
-91	0.883271	false	random	The new gaming console is affordable.
41	0.370884	false	random	All of the graduates of my program have moved on to other things because the jobs suck.
31	0.387203	true	strings	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-95	0.084263	true	are	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.
86	0.612377	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-77	0.300996	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.
70	0.421312	false	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
68	0.815996	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.
-5	0.899812	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.
17	0.468167	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.
89	0.484832	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-21	0.068977	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 not be unexpected.
10	0.751266	false	random	The water is too cold.
-29	0.957528	true	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-100	0.081389	true	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
81	0.761882	false	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
53	0.384285	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
51	0.580833	true	these	John ate pasta for dinner.
-42	0.773422	false	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-29	0.13304	false	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
53	0.846638	true	are	I can actually see him climbing into a Lincoln saying this.
-9	0.579074	true	these	The cat sat on the mat.
-71	0.484849	true	random	I can actually see him getting into a Lincoln saying this.
20	0.096077	false	are	Tom and Adam were whispering loudly in the theater.
-20	0.596084	true	strings
-98	0.693514	false	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
29	0.929804	false	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
63	0.265951	true	random	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
94	0.696153	true	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-16	0.87605	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-65	0.054032	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.
-74	0.0322	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-64	0.597132	true	are	All of the graduates of my program have moved on to other things because the jobs suck.
95	0.179915	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
30	0.548257	true	strings	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-66	0.658748	true	random	The water is too hot.
-51	0.044498	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.
-88	0.476689	false	random	Tom and Adam were whispering in the theater.
3	0.949368	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-50	0.86516	true	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-69	0.807639	false	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
-36	0.80707	true	random	And if both apply, they are essentially possible.
44	0.456496	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.
67	0.175681	false	are	The water is too cold.
-29	0.866364	true	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
11	0.028608	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.
19	0.819575	true	these	The cat did not sit on the mat.
88	0.761341	true	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
86	0.903573	true	random	The water is too hot.
73	0.93804	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.
-64	0.5321	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.
42	0.734341	false	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
32	0.793805	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-19	0.493041	false	these	And if both apply, they are essentially possible.
-57	0.769574	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.
-34	0.722281	true	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
67	0.520424	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-81	0.830127	true	these	The cat sat on the mat.
-58	0.910624	true	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
27	0.475021	true	these	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
66	0.367725	false	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-86	0.978181	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
93	0.321548	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.

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