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
-62	0.521917	false	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
90	0.559594	true	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.
-77	0.984013	true	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.
-93	0.236107	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-17	0.622999	true	these	John ate pasta for dinner.
98	0.160462	false	random	The water is too hot.
27	0.00987	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-77	0.259209	false	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-5	0.698045	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
41	0.234496	false	these	John ate pasta for supper.
85	0.146844	false	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-100	0.086487	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 not be unexpected.
-82	0.990082	false	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-84	0.037513	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-94	0.94374	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
90	0.124081	false	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
22	0.585872	false	these	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-92	0.928762	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.
-53	0.066318	false	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
77	0.008831	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
30	0.283512	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.
46	0.849362	true	these	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.
-38	0.104707	false	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-57	0.051291	false	these	I can actually see him getting into a Lincoln saying this.
85	0.841723	false	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
18	0.54512	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.
-63	0.323802	false	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
63	0.399836	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.
24	0.926555	false	random	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	0.068301	true	strings	John ate pasta for dinner.
58	0.872856	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.
37	0.814052	false	random	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-95	0.761615	false	random	All animals like to scratch their ears.
63	0.526918	false	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-10	0.352054	false	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.
52	0.152414	false	random	The cat did not sit on the mat.
-68	0.478791	false	are	All animals like to scratch their ears.
7	0.507312	true	random	The market is about to get harder, but possible to navigate.
26	0.252564	false	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.
-77	0.600062	true	strings	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
65	0.295279	false	these	All dogs like to scratch their ears.
17	0.364032	true	random	We consider all words as positive examples and sample negatives at random from the dictionary.
76	0.190745	true	random	We built our society on clean energy.
3	0.513379	false	these	John ate pasta for supper.
90	0.67683	true	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.
90	0.9044	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.
-45	0.586664	true	strings	Tom and Adam were whispering quietly in the theater.
33	0.302436	true	random	The new gaming console is unaffordable.
-2	0.221968	false	strings	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-61	0.328766	true	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
53	0.059943	true	random	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-16	0.227261	false	are	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-81	0.826857	true	are	And if both apply, they are essentially possible.
-60	0.860514	false	are	None of the graduates of my program have moved on to other things because the jobs suck.
22	0.063693	false	are	We built our society on unclean energy.
-92	0.56848	false	random	We built our society on clean energy.
-41	0.148541	true	these	The villain is the character who tends to have a negative effect on other characters.
70	0.358004	false	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-19	0.520918	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.
-32	0.008412	true	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
25	0.092707	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.
-88	0.65762	false	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
75	0.676308	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
55	0.322225	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
66	0.841635	true	strings	The market is about to get harder, but possible to navigate.
-92	0.93195	true	are	We built our society on clean energy.
-18	0.578573	true	are	Some animals like to scratch their ears.
-25	0.377652	false	random	John ate pasta for dinner.
-31	0.102779	false	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
95	0.733255	false	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-32	0.483475	true	these	I can actually see him getting into a Lincoln saying this.
98	0.817417	true	these	The water is too hot.
-97	0.30107	false	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-87	0.106958	true	these	We consider some words as positive examples and sample negatives at random from the dictionary.
6	0.673328	false	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-22	0.27918	true	strings	I can actually see him climbing into a Mazda saying this.
47	0.77334	true	strings	The new gaming console is unaffordable.
16	0.522418	true	strings	I can actually see him getting into a Lincoln saying this.
-52	0.984468	true	random	All animals like to scratch their ears.
74	0.178281	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.
29	0.148118	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
-55	0.013806	true	strings	I can actually see him climbing into a Lincoln saying this.
35	0.773658	false	random	Tom and Adam were whispering in the theater.
69	0.242258	true	strings	I can actually see him climbing into a Lincoln saying this.
-64	0.030953	true	strings	I can actually see him climbing into a Lincoln saying this.
72	0.356746	false	random	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-37	0.43488	true	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-34	0.966778	true	random	The new gaming console is unaffordable.
97	0.136037	false	these	Writing Java is similar to programming with handcuffs.
9	0.500286	true	strings	We built our society on clean energy.
73	0.103061	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
0	0.190033	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-73	0.51607	false	strings	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-80	0.666565	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
99	0.479637	true	these	All of the graduates of my program have moved on to other things because the jobs suck.
10	0.813637	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.
-41	0.989281	true	are	John ate pasta for breakfast.
-2	0.843147	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-61	0.669868	true	random	The market is about to get harder, but possible to navigate.
-71	0.909014	true	these	Writing Java is similar to programming with handcuffs.

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