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
28	0.874534	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-87	0.835215	true	random	Writing Java is similar to programming with handcuffs.
10	0.440557	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-44	0.115525	true	strings	The new gaming console is unaffordable.
-78	0.910987	false	random	I can actually see him getting into a Lincoln saying this.
38	0.358928	false	strings	Some dogs like to scratch their ears.
-9	0.505492	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
35	0.520247	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.
-40	0.229739	false	these	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-18	0.53185	false	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
85	0.997865	true	random	Tom and Adam were whispering quietly in the theater.
-95	0.653888	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
0	0.725741	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
58	0.874349	true	strings	Some animals like to scratch their ears.
32	0.977323	false	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-18	0.403647	true	are	Some of the graduates of my program have moved on to other things because the jobs suck.
82	0.418082	false	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
49	0.604309	false	random	The new gaming console is unaffordable.
41	0.555348	false	these	Writing Java is not too different from programming with handcuffs.
82	0.27726	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
91	0.127666	false	these	All dogs like to scratch their ears.
49	0.368526	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.
26	0.332748	true	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-12	0.545824	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-30	0.403093	false	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-27	0.153903	true	these	John ate pasta for supper.
0	0.218518	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 not be unexpected.
4	0.448657	true	these	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
44	0.082954	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-80	0.591572	true	strings	Tom and Adam were whispering in the theater.
46	0.32935	true	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-12	0.988473	true	are	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-67	0.003896	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-41	0.543424	false	random	Chicago City Hall is the official seat of government of the City of Chicago.
28	0.631938	true	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
23	0.795087	true	these	Tom and Adam were whispering in the theater.
-97	0.568381	true	strings	John ate pasta for breakfast.
86	0.571828	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
78	0.279216	true	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.
35	0.703813	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-81	0.629453	true	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-51	0.382141	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.
-34	0.923714	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-47	0.781269	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.
-45	0.28532	false	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.
27	0.374719	false	random	The new gaming console is unaffordable.
-51	0.865498	false	strings	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-21	0.395438	true	random	The cat sat on the mat.
75	0.689749	true	random	The market is about to get harder, but not impossible to navigate.
-76	0.011285	true	these	The cat did not sit on the mat.
31	0.298331	true	are	The market is about to get harder, but not impossible to navigate.
-30	0.318128	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
50	0.087929	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
88	0.739476	false	strings	The water is too cold.
-4	0.74195	false	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.
42	0.171611	true	are	Chicago City Hall is the official seat of government of Chicago.
-28	0.89726	true	strings	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-46	0.220856	true	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-23	0.851598	false	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
84	0.628546	true	these	The cat sat on the mat.
68	0.602509	true	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-95	0.338591	true	random	Chicago City Hall is the official seat of government of Chicago.
46	0.69588	false	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
94	0.741457	true	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-72	0.65925	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
63	0.248839	false	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-63	0.884652	false	random	Writing Java is similar to programming with handcuffs.
-59	0.288445	false	these	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-42	0.988138	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-13	0.756113	false	these	John ate pasta for dinner.
30	0.117974	true	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-96	0.337036	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.
-30	0.710169	true	are	We built our society on clean energy.
-49	0.942923	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
42	0.926283	true	are	John ate pasta for breakfast.
18	0.80292	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-34	0.263317	true	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
-41	0.332443	false	these	Chicago City Hall is the official seat of government of Chicago.
-41	0.456382	false	are	John ate pasta for dinner.
37	0.819131	false	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.
77	0.945537	true	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-15	0.913398	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
67	0.452054	true	these	Tom and Adam were whispering quietly in the theater.
-7	0.608732	false	strings	John ate pasta for breakfast.
-13	0.432727	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
64	0.804348	true	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
61	0.794528	false	these	We built our society on unclean energy.
96	0.374382	false	are	We built our society on unclean energy.
-18	0.892619	false	random	John ate pasta for breakfast.
44	0.057389	true	random	Some animals like to scratch their ears.
90	0.067116	true	are	The water is too cold.
-50	0.928875	true	strings	The villain is the character who tends to have a negative effect on other characters.
-93	0.974875	false	are	All dogs like to scratch their ears.
-27	0.018287	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	0.773713	false	are	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-35	0.47262	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.
-68	0.368712	true	strings	Writing Java is similar to programming with handcuffs.
-77	0.727158	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.
46	0.905595	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
52	0.720841	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.

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