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
-37	0.439406	false	these	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-64	0.585502	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.
-28	0.167216	true	random	Tom and Adam were whispering loudly in the theater.
-37	0.55865	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
89	0.016282	false	strings	I can actually see him getting into a Lincoln saying this.
35	0.336531	true	are	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
20	0.478278	false	strings	John ate pasta for dinner.
-8	0.353809	false	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.
-44	0.96787	false	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-97	0.475495	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.
-95	0.53807	true	random	Writing Java is not too different from programming with handcuffs.
-24	0.166009	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.
-79	0.643076	true	these	The cat did not sit on the mat.
60	0.039207	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-57	0.745683	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.
61	0.847406	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-36	0.19653	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
53	0.939126	false	random	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
50	0.031682	true	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-77	0.588782	true	strings	All dogs like to scratch their ears.
-17	0.260166	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.
69	0.364463	true	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-8	0.763568	false	are	None of the graduates of my program have moved on to other things because the jobs suck.
-57	0.404608	true	random	The villain is the character who tends to have a negative effect on other characters.
33	0.043074	true	these	John ate pasta for dinner.
73	0.645178	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-44	0.281029	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.
-17	0.68133	false	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-89	0.178154	false	strings	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.
34	0.419118	false	random	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.
49	0.688596	true	are	We built our society on clean energy.
-48	0.329762	true	random	The cat did not sit on the mat.
-44	0.443759	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-28	0.608741	false	random	Tom and Adam were whispering loudly in the theater.
-38	0.557969	false	random	The water is too cold.
-9	0.24486	false	these	Some animals like to scratch their ears.
82	0.266557	false	strings	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
75	0.003054	false	random	Some animals like to scratch their ears.
-95	0.314298	true	these	Some dogs like to scratch their ears.
34	0.811644	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
36	0.059121	true	strings	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
90	0.282995	false	random	John ate pasta for dinner.
-19	0.077723	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
48	0.65682	true	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
99	0.049175	false	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
61	0.561158	false	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
81	0.623826	false	these	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.
-39	0.552753	false	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-66	0.472186	false	these	Tom and Adam were whispering quietly in the theater.
-43	0.9183	true	these	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
88	0.132166	false	strings	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.
-98	0.895673	true	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.
-5	0.975281	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
72	0.771608	true	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
87	0.019372	false	random	We consider all words as positive examples and sample negatives at random from the dictionary.
-83	0.017701	false	are	All of the graduates of my program have moved on to other things because the jobs suck.
48	0.796524	true	are	None of the graduates of my program have moved on to other things because the jobs suck.
-20	0.678558	true	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-76	0.129582	true	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
58	0.908432	true	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
87	0.332387	false	strings	The market is about to get harder, but not impossible to navigate.
-72	0.610553	true	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-48	0.976548	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.
-36	0.776177	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
82	0.376515	true	random	I can actually see him climbing into a Mazda saying this.
-27	0.756672	false	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-23	0.321698	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
9	0.014338	true	are	Some dogs like to scratch their ears.
37	0.552546	true	strings	The market is about to get harder, but not impossible to navigate.
57	0.479417	false	are	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
28	0.207161	false	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-87	0.14458	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
-35	0.411382	true	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-43	0.888021	false	random	Tom and Adam were whispering in the theater.
-65	0.325569	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.
-12	0.825427	true	random	Writing Java is similar to programming with handcuffs.
45	0.111737	false	are	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.
-9	0.713065	true	are	Some dogs like to scratch their ears.
-46	0.651218	false	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-18	0.823992	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.
40	0.687401	true	strings	I can actually see him climbing into a Lincoln saying this.
-48	0.401888	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.
-19	0.897664	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.
33	0.990105	false	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-19	0.848946	false	are	John ate pasta for breakfast.
-47	0.772071	true	are	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-29	0.943177	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.
-67	0.946963	false	random	The cat did not sit on the mat.
82	0.765539	true	these	We consider some words as positive examples and sample negatives at random from the dictionary.
37	0.588388	false	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
55	0.838441	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-83	0.726222	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-22	0.072964	true	these	John ate pasta for breakfast.
10	0.852695	true	are	John ate pasta for dinner.
-49	0.421287	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
70	0.816441	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
78	0.744332	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-49	0.858786	true	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-89	0.666872	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.
-50	0.845259	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.

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