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
-29	0.111267	true	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.
17	0.8326	true	strings	Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
72	0.103084	false	random	We consider many context words as positive examples and sample negatives at random from the dictionary.
-75	0.126499	false	these	Tom and Adam were whispering quietly in the theater.
83	0.358914	false	random	John ate pasta for breakfast.
76	0.898597	false	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-97	0.231899	false	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
54	0.774121	true	strings	The water is too cold.
-4	0.830989	false	random	We built our society on clean energy.
66	0.343627	false	strings	Writing Java is similar to programming with handcuffs.
79	0.623454	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
80	0.248676	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.
-50	0.011686	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
60	0.29951	true	strings	The cat sat on the mat.
32	0.524816	true	strings	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-68	0.520823	false	strings	The market is about to get harder, but possible to navigate.
-59	0.777854	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.
1	0.362649	false	strings	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-42	0.6555	false	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
16	0.176213	false	random	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
98	0.689861	false	random	The new gaming console is affordable.
95	0.273814	true	are	Chicago City Hall is the official seat of government of the City of Chicago.
-80	0.933499	false	are	Chicago City Hall is the official seat of government of the City of Chicago.
-2	0.479456	false	these	I can actually see him climbing into a Mazda saying this.
-55	0.787966	false	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.
-58	0.393564	true	these	The villain is the character who tends to have a negative effect on other characters.
-68	0.8183	false	strings	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.
-39	0.714248	true	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
99	0.483617	true	these	The market is about to get harder, but not impossible to navigate.
37	0.131059	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
79	0.914603	true	strings	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-24	0.440303	false	are	We consider many context words as positive examples and sample negatives at random from the dictionary.
-42	0.216827	false	strings	Some dogs like to scratch their ears.
41	0.090883	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
84	0.103428	false	random	Tom and Adam were whispering quietly in the theater.
79	0.720165	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
71	0.128299	true	are
46	0.609848	true	these	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
14	0.266785	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-26	0.607573	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
96	0.383402	false	strings	The market is about to get harder, but possible to navigate.
62	0.682055	true	are	Some dogs like to scratch their ears.
-81	0.778653	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-77	0.975019	true	strings	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.
-70	0.165892	true	strings	The water is too hot.
-72	0.359564	false	are	The villain is the character who tends to have a negative effect on other characters.
44	0.97333	false	strings	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-8	0.93192	true	random	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.
46	0.574454	false	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-71	0.02037	true	random	Tom and Adam were whispering in the theater.
-95	0.227312	false	random	We built our society on clean energy.
78	0.918597	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-13	0.642132	false	strings	I can actually see him climbing into a Lincoln saying this.
-45	0.689851	true	these	The villain is the character who tends to have a negative effect on other characters.
4	0.361465	true	strings	And if both apply, they are essentially possible.
88	0.662484	false	these	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-20	0.904791	true	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.
-32	0.971898	false	these	Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-91	0.083225	false	strings	John ate pasta for dinner.
-47	0.740095	false	are	I can actually see him climbing into a Lincoln saying this.
18	0.660835	false	random	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-44	0.468934	false	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-68	0.044525	true	random	We consider all words as positive examples and sample negatives at random from the dictionary.
-8	0.572103	false	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-79	0.462411	true	strings	The new gaming console is unaffordable.
-55	0.973843	false	strings	The new gaming console is unaffordable.
60	0.515597	false	are	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.
-68	0.21432	false	these	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-66	0.486033	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
-37	0.446056	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.
65	0.389544	false	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
10	0.785652	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-10	0.960446	true	these	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
42	0.571276	true	random	The water is too cold.
-47	0.543347	false	these	I can actually see him climbing into a Lincoln saying this.
-29	0.679867	true	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
81	0.169126	true	random	All dogs like to scratch their ears.
-64	0.587624	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
39	0.96237	false	random	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
27	0.677432	false	are	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
74	0.696515	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
49	0.272553	false	are	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.
75	0.108021	true	strings	I can actually see him climbing into a Lincoln saying this.
-78	0.472229	false	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.
-64	0.739665	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-13	0.024579	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.
-32	0.056877	true	random	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
86	0.189275	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
14	0.303362	false	are	Writing Java is not too different from programming with handcuffs.
23	0.602466	false	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
89	0.990199	false	are	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.
28	0.260565	true	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-13	0.96629	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.
-94	0.056633	true	strings	I can actually see him climbing into a Lincoln saying this.
87	0.311667	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
49	0.48884	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-18	0.391128	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.
67	0.683735	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.
57	0.891194	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 not be unexpected.
40	0.627117	false	these	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.