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
1	0.96916	true	random	Some animals like to scratch their ears.
99	0.081661	false	these	We built our society on unclean energy.
31	0.795127	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.
21	0.271244	false	these	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.
-29	0.245156	false	strings	Some dogs like to scratch their ears.
-62	0.397968	false	random	Writing Java is similar to programming with handcuffs.
32	0.068753	false	are	We consider some words as positive examples and sample negatives at random from the dictionary.
93	0.533996	false	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
12	0.047402	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
90	0.330466	false	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
63	0.176032	false	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.
-41	0.930388	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-89	0.500271	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-64	0.111819	false	random	I can actually see him climbing into a Mazda saying this.
-82	0.9908	true	random	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-22	0.868168	true	strings	Tom and Adam were whispering loudly in the theater.
58	0.12206	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.
-66	0.710176	false	random	The market is about to get harder, but not impossible to navigate.
78	0.207875	false	strings	Tom and Adam were whispering in the theater.
67	0.519247	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
8	0.985527	true	these	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-13	0.271701	true	random	All dogs like to scratch their ears.
-26	0.368058	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-44	0.144771	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-78	0.868106	true	random	Some animals like to scratch their ears.
-72	0.64879	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-39	0.39337	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.
65	0.930412	false	are	The cat sat on the mat.
-80	0.194756	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
89	0.933228	false	these	Tom and Adam were whispering in the theater.
33	0.437568	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.
42	0.811706	true	strings	We built our society on clean energy.
96	0.098307	true	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-53	0.769134	true	random	The water is too cold.
74	0.697485	true	random	Some dogs like to scratch their ears.
60	0.953877	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.
1	0.719229	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-8	0.076556	false	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-76	0.045495	false	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
38	0.108865	false	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
92	0.964352	false	are	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.
17	0.867041	false	strings	The new gaming console is affordable.
13	0.83651	false	random	I can actually see him climbing into a Lincoln saying this.
-15	0.219899	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.
81	0.35227	false	these	Tom and Adam were whispering loudly in the theater.
64	0.13059	true	these	Tom and Adam were whispering loudly in the theater.
-54	0.1501	false	strings	I can actually see him climbing into a Lincoln saying this.
-90	0.328195	false	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-75	0.520971	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.
-63	0.657255	true	random	John ate pasta for dinner.
-76	0.754926	true	these	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.
-52	0.946301	false	are	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-23	0.236242	false	strings	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-59	0.177383	false	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
68	0.335552	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
23	0.170101	true	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-66	0.642118	false	these	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.
93	0.261115	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.
-99	0.452218	true	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.
-66	0.343575	false	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
58	0.688611	true	random	I can actually see him getting into a Lincoln saying this.
37	0.643288	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.
-27	0.483994	true	are	I can actually see him climbing into a Lincoln saying this.
19	0.59772	true	random	I can actually see him climbing into a Mazda saying this.
35	0.368116	true	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
20	0.01024	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
-19	0.670898	true	random
22	0.395972	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-6	0.766918	false	are	Out of the box, Ouya supports Twitch.tv and XBMC media player.
6	0.030603	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-51	0.202877	true	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
-61	0.147063	false	these	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.
-9	0.583147	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.
83	0.750474	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
30	0.600915	true	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-46	0.576318	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.
-63	0.215023	false	strings	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.
-79	0.842133	false	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
29	0.35721	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.
-9	0.058432	false	random	Tom and Adam were whispering quietly in the theater.
91	0.256021	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
43	0.557835	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
46	0.98535	true	these	We consider some words as positive examples and sample negatives at random from the dictionary.
-22	0.79318	false	strings	John ate pasta for dinner.
-99	0.645605	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
37	0.411428	true	strings	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-97	0.401354	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-78	0.390533	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
33	0.553205	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.
24	0.267916	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.
8	0.686313	true	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.
74	0.092315	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
51	0.618762	false	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-60	0.01157	false	are	I can actually see him climbing into a Lincoln saying this.
-24	0.570586	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
42	0.666284	false	are	We consider all context words as positive examples and sample negatives at random from the dictionary.
4	0.813439	true	are	We consider many context words as positive examples and sample negatives at random from the dictionary.
-93	0.981816	false	strings	Chicago City Hall is the official seat of government of Chicago.
-22	0.575084	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-90	0.788781	false	are	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.

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