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
51	0.701593	false	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-3	0.758385	true	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.
-29	0.21501	false	random	The water is too hot.
40	0.282004	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-95	0.361697	true	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
3	0.183615	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-2	0.075523	false	random	John ate pasta for dinner.
37	0.207802	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.
57	0.130015	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-11	0.3079	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-7	0.998438	true	these	The water is too hot.
-27	0.849289	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-86	0.903809	true	are	John ate pasta for breakfast.
-77	0.100021	false	are	All animals like to scratch their ears.
-71	0.810593	false	random	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
35	0.466664	true	these	Tom and Adam were whispering in the theater.
88	0.11273	true	random	John ate pasta for dinner.
-23	0.989322	false	are	All of the graduates of my program have moved on to other things because the jobs suck.
-90	0.928069	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-97	0.814265	false	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
-47	0.070118	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.
-60	0.486865	true	are	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-24	0.608293	true	strings	The new gaming console is unaffordable.
-12	0.560038	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
81	0.75333	false	random	Some of the graduates of my program have moved on to other things because the jobs suck.
81	0.344298	false	these	John ate pasta for breakfast.
-89	0.261337	false	random	Tom and Adam were whispering quietly in the theater.
-5	0.906639	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-10	0.849189	true	strings	The new gaming console is affordable.
94	0.111942	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
4	0.027526	false	strings	The cat did not sit on the mat.
82	0.988256	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.
-75	0.272479	true	these	Chicago City Hall is the official seat of government of Chicago.
22	0.358452	true	random	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
12	0.580938	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
62	0.53455	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.
34	0.991322	true	these	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
83	0.704433	true	are	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.
84	0.931545	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.
92	0.511135	false	are	The new gaming console is affordable.
7	0.963145	false	random	The new gaming console is unaffordable.
-52	0.263156	true	these	Writing Java is similar to programming with handcuffs.
-88	0.536285	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-33	0.897582	false	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
64	0.401013	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-10	0.909454	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.
-43	0.582354	false	strings	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
63	0.109424	true	strings	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.
-78	0.505996	false	these	John ate pasta for dinner.
32	0.636721	true	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
27	0.872	false	random	And if both apply, they are essentially possible.
-15	0.005095	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.
-68	0.758649	true	strings	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-42	0.819575	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
20	0.397315	true	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.
-27	0.390847	true	these	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
3	0.357371	false	are	And if both apply, they are essentially impossible.
-23	0.149968	true	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-29	0.097292	true	random	All animals like to scratch their ears.
91	0.956886	true	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
16	0.274677	false	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
53	0.213002	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-52	0.836527	true	strings	The new gaming console is unaffordable.
22	0.399965	true	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-7	0.837369	false	are	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-81	0.506671	false	these	We built our society on clean energy.
74	0.605398	true	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-90	0.088939	false	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
43	0.93819	false	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
86	0.813218	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 not be unexpected.
91	0.963176	true	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-30	0.539465	true	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-55	0.698878	true	random	Chicago City Hall is the official seat of government of the City of Chicago.
-31	0.678226	false	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-65	0.344387	true	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
-17	0.397304	true	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.
-39	0.99696	true	random	Writing Java is not too different from programming with handcuffs.
-51	0.551806	true	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.
23	0.092726	true	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-10	0.629498	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
54	0.027324	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-68	0.614675	false	strings	Writing Java is not too different from programming with handcuffs.
-44	0.538267	false	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-56	0.277951	true	random	Some dogs like to scratch their ears.
-12	0.061958	false	random	All animals like to scratch their ears.
23	0.537065	true	strings	We consider all words as positive examples and sample negatives at random from the dictionary.
79	0.237475	false	are	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.
-65	0.855031	true	are
-36	0.430128	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
91	0.384935	true	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.
50	0.620189	true	these	The water is too cold.
12	0.508929	true	random	Tom and Adam were whispering in the theater.
79	0.152252	false	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
4	0.014822	false	these	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
40	0.558504	true	are	I can actually see him climbing into a Mazda saying this.
59	0.280119	true	these	The market is about to get harder, but possible to navigate.
1	0.565424	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.
59	0.357529	true	strings	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
62	0.241705	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.
98	0.420019	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.

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