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
-100	0.27945	false	strings	Writing Java is not too different from programming with handcuffs.
53	0.426727	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-58	0.916152	false	strings	We built our society on clean energy.
39	0.987768	false	are	John ate pasta for dinner.
90	0.139617	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-30	0.733123	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
94	0.537444	false	random	Tom and Adam were whispering quietly in the theater.
-16	0.142019	false	strings	Writing Java is not too different from programming with handcuffs.
-85	0.826872	false	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
-55	0.520612	true	strings	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-71	0.301753	true	strings	All dogs like to scratch their ears.
57	0.812904	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.
30	0.316879	true	strings	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
84	0.683834	false	random	Tom and Adam were whispering in the theater.
-12	0.351272	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-15	0.42018	false	strings	And if both apply, they are essentially possible.
69	0.31738	true	are	Some dogs like to scratch their ears.
79	0.689122	true	these	I can actually see him climbing into a Mazda saying this.
-44	0.575185	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
85	0.578892	true	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
21	0.045935	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
55	0.052235	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
39	0.038881	false	these	I can actually see him climbing into a Mazda saying this.
-51	0.047105	false	these	Chicago City Hall is the official seat of government of the City of Chicago.
85	0.821412	false	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
38	0.125997	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.
-6	0.061427	false	random	The new gaming console is affordable.
-45	0.694756	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.
-69	0.805138	true	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
22	0.758559	false	random	The villain is the character who tends to have a negative effect on other characters.
-15	0.87417	false	random	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
67	0.774652	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.
96	0.438791	true	these	We built our society on clean energy.
10	0.332939	true	strings	We consider all words as positive examples and sample negatives at random from the dictionary.
72	0.819855	false	these	None of the graduates of my program have moved on to other things because the jobs suck.
71	0.20322	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
83	0.390289	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-4	0.909182	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
-76	0.137042	false	these
56	0.193443	true	strings	John ate pasta for dinner.
-59	0.78358	false	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
8	0.317602	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-73	0.711369	true	are	The new gaming console is unaffordable.
-96	0.893687	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.
52	0.033931	true	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-77	0.919577	false	these	I can actually see him climbing into a Lincoln saying this.
65	0.031977	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-34	0.671365	false	these	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-5	0.387265	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.
-95	0.696661	true	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.
-42	0.617737	false	strings	Tom and Adam were whispering quietly in the theater.
36	0.517544	true	strings	Tom and Adam were whispering loudly in the theater.
33	0.892048	false	strings	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.
20	0.472672	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
72	0.413533	true	are	We consider many context words as positive examples and sample negatives at random from the dictionary.
-47	0.485221	true	are	Out of the box, Ouya supports Twitch.tv and XBMC media player.
64	0.616991	false	random	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	0.225731	true	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-73	0.931994	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
51	0.106611	true	are	Tom and Adam were whispering loudly in the theater.
-28	0.698779	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.
-34	0.081716	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-90	0.373494	false	are	We consider all context words as positive examples and sample negatives at random from the dictionary.
92	0.531047	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
31	0.844483	false	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
43	0.40402	false	random	All of the graduates of my program have moved on to other things because the jobs suck.
72	0.988826	true	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
26	0.057486	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.
37	0.116515	true	strings	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
89	0.068833	false	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-85	0.94855	false	these	And if both apply, they are essentially impossible.
46	0.517702	true	strings	The market is about to get harder, but not impossible to navigate.
-99	0.322701	true	are	The water is too cold.
-55	0.279264	true	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
-36	0.095897	true	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-2	0.752722	false	are	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.
1	0.593582	true	these	We consider some words as positive examples and sample negatives at random from the dictionary.
-87	0.367157	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
-96	0.647609	true	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-3	0.470455	false	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
90	0.19169	false	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
23	0.022861	false	are	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
24	0.703515	false	random	The villain is the character who tends to have a negative effect on other characters.
60	0.601852	false	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
31	0.212504	true	these	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.
24	0.925943	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.
-57	0.495615	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-63	0.82799	true	are	Tom and Adam were whispering loudly in the theater.
32	0.131683	true	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-95	0.627816	true	random	The cat did not sit on the mat.
-98	0.354454	true	are	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-71	0.614341	true	are	Some dogs like to scratch their ears.
-94	0.893583	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
65	0.647817	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.
41	0.618282	true	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.
-64	0.159897	true	random	Some of the graduates of my program have moved on to other things because the jobs suck.
23	0.743473	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	0.107989	false	random	The market is about to get harder, but possible to navigate.
-32	0.676297	false	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
26	0.993359	false	random	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.

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