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
67	0.017349	true	are	The water is too hot.
-41	0.369634	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.
-2	0.757084	false	strings	John ate pasta for dinner.
3	0.11091	false	strings	I can actually see him climbing into a Mazda saying this.
-19	0.969047	false	strings	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
14	0.834743	false	random	The cat sat on the mat.
-78	0.924356	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-60	0.743337	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-61	0.486578	false	strings	The new gaming console is unaffordable.
-48	0.313137	true	these	The villain is the character who tends to have a negative effect on other characters.
47	0.133327	false	strings	I can actually see him climbing into a Lincoln saying this.
-14	0.990216	true	these	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-10	0.930288	true	these	Writing Java is not too different from programming with handcuffs.
13	0.962378	true	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
29	0.390948	true	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-1	0.989877	true	strings	Tom and Adam were whispering quietly in the theater.
51	0.689153	true	these	I can actually see him getting into a Lincoln saying this.
61	0.899982	true	strings	Tom and Adam were whispering in the theater.
62	0.088223	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-16	0.34885	false	are	We consider all context words as positive examples and sample negatives at random from the dictionary.
82	0.416158	true	random	I can actually see him getting into a Lincoln saying this.
38	0.63467	false	strings	The water is too cold.
83	0.626158	false	random	Chicago City Hall is the official seat of government of the City of Chicago.
-20	0.970559	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-80	0.551006	true	random	I can actually see him climbing into a Lincoln saying this.
-38	0.565895	false	are	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
51	0.154509	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.
30	0.085567	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
77	0.761984	false	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.
-72	0.717345	true	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-96	0.650024	true	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
13	0.832559	true	these
-36	0.096165	true	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-81	0.156385	true	strings	The market is about to get harder, but not impossible to navigate.
-46	0.412061	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.
63	0.729688	true	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
48	0.790674	true	are	The cat sat on the mat.
85	0.822847	true	these	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-61	0.049625	false	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
39	0.415704	false	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.
97	0.58435	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-17	0.44646	true	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-43	0.604444	false	these	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.
-34	0.392838	true	strings	I can actually see him getting into a Lincoln saying this.
-79	0.049367	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-71	0.817759	true	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
31	0.532435	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.
83	0.187445	false	random	All dogs like to scratch their ears.
-2	0.429277	true	strings	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.
-81	0.864381	true	random	We built our society on unclean energy.
60	0.408372	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
42	0.244095	false	random
-77	0.003099	false	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 not be unexpected.
11	0.998858	true	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-64	0.49948	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-97	0.898283	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.
-22	0.983523	false	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-8	0.258224	true	strings	And if both apply, they are essentially possible.
63	0.457953	true	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-59	0.800264	true	strings	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-38	0.637444	false	are	John ate pasta for dinner.
55	0.3756	true	strings	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-5	0.950917	false	random	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
31	0.812037	true	random	Chicago City Hall is the official seat of government of the City of Chicago.
90	0.058561	false	are
-44	0.851403	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
17	0.405123	true	strings	Chicago City Hall is the official seat of government of Chicago.
-41	0.171721	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-73	0.362709	false	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.
23	0.57752	false	strings	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
75	0.062599	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.
-67	0.760547	false	are	All animals like to scratch their ears.
-57	0.954843	true	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
8	0.351474	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
36	0.98969	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
26	0.258817	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
96	0.991875	true	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
70	0.955878	true	strings	We built our society on clean energy.
-88	0.192727	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-83	0.944588	false	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.
17	0.383378	false	these	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.
-6	0.555598	true	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
12	0.3154	false	strings	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.
66	0.929424	true	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.
-64	0.041875	false	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
52	0.708571	false	random	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-54	0.143221	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-81	0.693682	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-46	0.025233	false	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
69	0.09731	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.
-72	0.345107	false	strings	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
85	0.903453	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.
84	0.017936	false	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-13	0.51016	false	these	Some of the graduates of my program have moved on to other things because the jobs suck.
89	0.155207	true	these	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-79	0.111324	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.
56	0.926434	true	are	Some animals like to scratch their ears.
53	0.934538	false	random	I can actually see him climbing into a Mazda saying this.
-50	0.786631	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-41	0.079367	false	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.

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