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
70	0.611312	true	these	All dogs like to scratch their ears.
6	0.61162	true	are	All dogs like to scratch their ears.
-68	0.885144	false	these	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
41	0.634914	true	are	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
68	0.942315	true	these	John ate pasta for dinner.
-63	0.567024	true	strings	The new gaming console is unaffordable.
3	0.824579	false	random	John ate pasta for dinner.
-66	0.140179	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-25	0.51115	true	strings	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-93	0.419405	false	are	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-81	0.243697	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.
17	0.419687	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-19	0.427788	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.
-58	0.759495	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
49	0.647473	true	these	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
72	0.271866	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-90	0.009098	false	strings	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.
48	0.80338	true	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
85	0.690626	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.
-8	0.529156	true	these	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-98	0.539171	true	are	All of the graduates of my program have moved on to other things because the jobs suck.
41	0.189649	true	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
70	0.496818	true	are	We built our society on unclean energy.
80	0.31924	true	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-5	0.319299	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
92	0.239802	true	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.
70	0.983886	true	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-25	0.717426	true	these	The water is too cold.
-46	0.530247	true	random	The new gaming console is unaffordable.
-26	0.822647	true	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.
-62	0.308621	true	these	None of the graduates of my program have moved on to other things because the jobs suck.
93	0.882062	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
9	0.672531	true	are	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
25	0.514397	true	are	The cat sat on the mat.
-37	0.745398	false	random	Chicago City Hall is the official seat of government of Chicago.
55	0.115709	false	random	John ate pasta for dinner.
12	0.570552	true	strings	The water is too hot.
49	0.162622	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
19	0.212472	true	random	The water is too cold.
39	0.523527	true	random	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
45	0.71073	true	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-56	0.326357	true	are	Tom and Adam were whispering in the theater.
45	0.679963	true	strings	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.
5	0.225633	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.
7	0.345708	false	are	All of the graduates of my program have moved on to other things because the jobs suck.
-84	0.619068	false	strings	We built our society on clean energy.
-55	0.461834	true	these	Some of the graduates of my program have moved on to other things because the jobs suck.
-53	0.808177	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
64	0.897891	false	are	We consider some words as positive examples and sample negatives at random from the dictionary.
43	0.914497	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.
-28	0.557734	false	are	We built our society on unclean energy.
-65	0.276227	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.
-60	0.045412	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.
-60	0.341781	false	are	I can actually see him climbing into a Lincoln saying this.
83	0.456197	true	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-15	0.279139	false	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
19	0.366251	false	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
44	0.713861	true	are	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-47	0.313845	true	random	I can actually see him climbing into a Mazda saying this.
46	0.872606	true	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-69	0.354363	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
43	0.961377	true	are	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-55	0.046356	false	these	I can actually see him climbing into a Lincoln saying this.
94	0.556918	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.
19	0.675587	true	strings	Chicago City Hall is the official seat of government of the City of Chicago.
49	0.196787	false	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
91	0.518371	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-4	0.302789	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-94	0.785544	true	strings	John ate pasta for dinner.
46	0.417355	false	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
49	0.987482	true	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.
31	0.696119	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.
22	0.252585	false	these	We consider some words as positive examples and sample negatives at random from the dictionary.
95	0.240043	true	these	Writing Java is not too different from programming with handcuffs.
26	0.195254	false	these	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.
89	0.175909	true	random	The water is too hot.
1	0.699076	true	are	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-52	0.338149	true	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-66	0.113162	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.
-47	0.502955	true	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.
-18	0.690252	false	random	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.
-59	0.178608	false	random	Some of the graduates of my program have moved on to other things because the jobs suck.
-93	0.663946	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-68	0.950311	false	strings	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
71	0.486214	false	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
4	0.69899	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
40	0.463095	false	are	The villain is the character who tends to have a negative effect on other characters.
1	0.752477	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
8	0.203198	true	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-88	0.589511	false	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.
4	0.954618	false	random	All animals like to scratch their ears.
-42	0.729601	true	these	Tom and Adam were whispering in the theater.
-84	0.579111	true	these	The market is about to get harder, but possible to navigate.
2	0.506382	true	strings	Tom and Adam were whispering loudly in the theater.
12	0.238204	true	are	Tom and Adam were whispering in the theater.
80	0.405109	true	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-20	0.939089	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.
-39	0.846361	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.
-22	0.506541	true	strings	I can actually see him climbing into a Lincoln saying this.
92	0.212281	false	are

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