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
-2	0.345583	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-24	0.153233	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-65	0.752751	true	these	John ate pasta for dinner.
-44	0.459916	false	these	The cat did not sit on the mat.
96	0.843323	false	these	None of the graduates of my program have moved on to other things because the jobs suck.
-80	0.743292	true	strings	We consider some words as positive examples and sample negatives at random from the dictionary.
76	0.217626	true	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
46	0.778647	false	strings	Some animals like to scratch their ears.
41	0.093871	false	strings	John ate pasta for breakfast.
-55	0.464692	true	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
31	0.684325	false	strings	Some dogs like to scratch their ears.
-17	0.168029	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
54	0.948008	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-91	0.100641	false	random	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-28	0.189818	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
14	0.428131	true	these	Some animals like to scratch their ears.
69	0.06037	false	strings	Some dogs like to scratch their ears.
-74	0.244457	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-78	0.40686	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.
6	0.202031	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.
8	0.373384	true	strings	We built our society on unclean energy.
-42	0.478771	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.
-76	0.039256	false	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-55	0.294754	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.
75	0.64903	true	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.
-96	0.937386	true	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
-10	0.043738	true	random	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
30	0.586934	true	strings	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-85	0.520654	false	random	Tom and Adam were whispering in the theater.
80	0.692973	false	these	The water is too cold.
83	0.834548	false	strings	The cat sat on the mat.
-80	0.095631	false	are	All dogs like to scratch their ears.
13	0.162437	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-71	0.150766	false	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
0	0.167724	true	strings	Tom and Adam were whispering in the theater.
-62	0.17573	true	random	We consider some words as positive examples and sample negatives at random from the dictionary.
59	0.94135	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.
64	0.289844	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.
-83	0.530447	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
80	0.039627	true	are	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-80	0.215069	false	these	The new gaming console is unaffordable.
99	0.687296	false	random	Some of the graduates of my program have moved on to other things because the jobs suck.
38	0.696738	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-10	0.435235	false	these	We built our society on clean energy.
40	0.012934	false	strings	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-24	0.580496	false	random	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
65	0.344758	false	strings	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
26	0.751044	false	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
78	0.710304	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-27	0.36359	false	are	Writing Java is not too different from programming with handcuffs.
-1	0.499207	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-10	0.118414	false	random	I can actually see him getting into a Lincoln saying this.
-53	0.226489	false	are	I can actually see him climbing into a Lincoln saying this.
76	0.944676	false	are	All dogs like to scratch their ears.
85	0.566341	true	are	Chicago City Hall is the official seat of government of the City of Chicago.
3	0.729362	false	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-31	0.318781	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.
-31	0.593504	false	are	I can actually see him climbing into a Lincoln saying this.
81	0.488039	false	random	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-77	0.178683	true	random	The market is about to get harder, but not impossible to navigate.
-34	0.84855	false	are	The cat sat on the mat.
70	0.315032	false	these	The new gaming console is affordable.
-9	0.996262	false	random	The market is about to get harder, but possible to navigate.
-69	0.551245	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
38	0.213944	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.
-32	0.693736	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.
30	0.303518	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-22	0.035695	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.
-73	0.794119	true	are	And if both apply, they are essentially impossible.
87	0.418095	false	are	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-85	0.415162	false	are	John ate pasta for breakfast.
54	0.576129	false	random	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.
-93	0.135269	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
58	0.707129	true	strings	And if both apply, they are essentially possible.
32	0.192659	true	strings	Writing Java is similar to programming with handcuffs.
-61	0.351102	true	are	Some dogs like to scratch their ears.
-85	0.59525	true	random	Some of the graduates of my program have moved on to other things because the jobs suck.
54	0.603708	true	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-18	0.353295	false	these	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
39	0.652835	false	are	Tom and Adam were whispering loudly in the theater.
12	0.906182	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-96	0.588349	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.
-96	0.484072	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.
-60	0.98506	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
64	0.571381	true	strings	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
20	0.690994	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-87	0.603444	false	random	Chicago City Hall is the official seat of government of the City of Chicago.
28	0.252444	false	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
10	0.857239	true	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-13	0.212236	false	are	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.
-41	0.590191	false	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.
98	0.023252	false	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
97	0.211008	true	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-60	0.707631	false	are	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
43	0.208328	true	are	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-41	0.580293	false	strings	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
45	0.054556	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.
-46	0.970224	true	random	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	0.251826	false	these	The market is about to get harder, but possible to navigate.
33	0.961144	true	these	Tom and Adam were whispering quietly in the theater.

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