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
95	0.160953	true	strings	We consider all words as positive examples and sample negatives at random from the dictionary.
-58	0.69128	true	random	Tom and Adam were whispering in the theater.
51	0.77678	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-83	0.284418	false	strings	John ate pasta for dinner.
-28	0.707711	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.
64	0.234473	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.
13	0.29113	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.
-51	0.104947	true	are	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
94	0.00589	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.
63	0.200206	false	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-11	0.751882	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
32	0.346582	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
15	0.470539	false	random	Tom and Adam were whispering in the theater.
-1	0.746229	false	strings	John ate pasta for dinner.
35	0.380847	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
97	0.027203	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-16	0.012775	false	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
37	0.775537	false	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-69	0.537943	false	these	And if both apply, they are essentially impossible.
-51	0.174984	true	random	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-3	0.764283	false	these	John ate pasta for supper.
-40	0.364679	false	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-52	0.764209	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.
-88	0.592812	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.
-42	0.392056	false	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
53	0.93991	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-57	0.730021	false	are	We built our society on clean energy.
85	0.586875	true	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.
-7	0.04903	false	strings	All dogs like to scratch their ears.
-80	0.619495	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.
91	0.382	false	random	Some animals like to scratch their ears.
-29	0.760414	true	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-91	0.195752	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-57	0.943024	false	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-94	0.962717	false	strings	John ate pasta for supper.
29	0.797724	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.
-67	0.607618	true	random	Some of the graduates of my program have moved on to other things because the jobs suck.
-86	0.430297	true	random	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-45	0.83389	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
27	0.700589	false	these	John ate pasta for dinner.
-95	0.001293	true	these	The water is too hot.
19	0.03002	false	are	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-45	0.346782	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-10	0.16021	false	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-59	0.861462	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-12	0.646576	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-80	0.605786	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
29	0.100064	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
72	0.880599	true	strings	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.
62	0.56305	true	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.
-39	0.695582	false	strings	John ate pasta for breakfast.
19	0.301109	false	strings	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.
27	0.496925	false	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
67	0.755269	false	random	Tom and Adam were whispering quietly in the theater.
-22	0.975309	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-100	0.338608	false	these	None of the graduates of my program have moved on to other things because the jobs suck.
-51	0.30673	false	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-14	0.573555	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.
-30	0.81632	true	random	I can actually see him climbing into a Lincoln saying this.
-78	0.324663	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
23	0.360021	false	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.
7	0.754495	true	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
22	0.34356	false	random	I can actually see him climbing into a Mazda saying this.
62	0.262072	true	strings	Chicago City Hall is the official seat of government of the City of Chicago.
65	0.079351	true	random	None of the graduates of my program have moved on to other things because the jobs suck.
65	0.422101	false	these	Some animals like to scratch their ears.
-73	0.353592	false	strings
-6	0.400683	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.
49	0.013289	true	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.
-44	0.627053	false	these	Tom and Adam were whispering in the theater.
91	0.964421	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-40	0.660216	true	random	The market is about to get harder, but not impossible to navigate.
-76	0.160786	false	these	And if both apply, they are essentially possible.
-52	0.765586	false	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-37	0.627464	true	strings	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.
-24	0.391771	false	these	Tom and Adam were whispering loudly in the theater.
71	0.264557	true	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
26	0.796064	false	strings	John ate pasta for dinner.
67	0.635958	false	random	The market is about to get harder, but possible to navigate.
-70	0.854318	false	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-87	0.689006	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
22	0.964762	false	random	John ate pasta for dinner.
-41	0.113461	false	random	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-21	0.247585	true	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-37	0.056315	false	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-7	0.34913	false	these	I can actually see him getting into a Lincoln saying this.
-31	0.735067	false	strings	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
42	0.43749	true	these	John ate pasta for breakfast.
69	0.526195	true	random	John ate pasta for supper.
-20	0.886124	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-57	0.561532	false	random	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.
-62	0.228518	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.
-61	0.846318	true	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-28	0.653073	true	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.
36	0.652674	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.
72	0.492128	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.
92	0.409786	false	strings	Chicago City Hall is the official seat of government of the City of Chicago.
-95	0.356307	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-3	0.784853	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.
-17	0.470785	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.

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