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
-23	0.884917	true	strings	The new gaming console is affordable.
59	0.708664	true	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.
63	0.143499	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.
74	0.471797	true	random	None of the graduates of my program have moved on to other things because the jobs suck.
11	0.805817	true	these	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
47	0.278319	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-76	0.358505	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
16	0.809018	false	random	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.
61	0.100924	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.
-86	0.794293	true	random	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
50	0.738672	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-32	0.948136	true	these	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
15	0.43751	true	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
90	0.91694	true	strings	Chicago City Hall is the official seat of government of the City of Chicago.
-45	0.486747	false	strings	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-57	0.650699	true	random	Some dogs like to scratch their ears.
24	0.930632	true	random	And if both apply, they are essentially possible.
60	0.968679	true	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-71	0.537521	false	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
25	0.454761	true	strings	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
1	0.651556	false	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.
74	0.023983	true	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.
57	0.51387	true	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
7	0.885285	false	are	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-64	0.597046	false	these	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.
10	0.217154	true	these	Tom and Adam were whispering in the theater.
-38	0.756643	false	these	John ate pasta for supper.
-56	0.979317	false	are	We built our society on clean energy.
13	0.600454	false	these	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-19	0.758663	false	strings	John ate pasta for breakfast.
-91	0.440528	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.
21	0.510941	false	are	The market is about to get harder, but not impossible to navigate.
-55	0.429087	true	strings	And if both apply, they are essentially possible.
82	0.487208	false	random	The water is too cold.
-45	0.918612	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.
-17	0.35117	false	strings	The new gaming console is affordable.
54	0.640495	true	strings	All animals like to scratch their ears.
-14	0.494037	true	strings	The villain is the character who tends to have a negative effect on other characters.
-85	0.392547	true	random	The villain is the character who tends to have a negative effect on other characters.
-85	0.883093	true	strings	Prior to the dance, which is voluntary, students are told to fill out a card by selecting five different people they want to dance with.
-37	0.199112	true	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
53	0.834877	false	are	We built our society on unclean energy.
-49	0.347718	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-88	0.639969	false	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-35	0.008948	true	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-76	0.910621	false	these	We consider many context words as positive examples and sample negatives at random from the dictionary.
82	0.639415	true	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.
-36	0.031382	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-66	0.097194	true	random	The cat sat on the mat.
-63	0.880104	true	these	We consider all context words as positive examples and sample negatives at random from the dictionary.
-68	0.184005	false	random	We consider some words as positive examples and sample negatives at random from the dictionary.
84	0.34929	false	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
50	0.838192	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
79	0.12717	true	are	I can actually see him climbing into a Mazda saying this.
-9	0.598262	false	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-20	0.000701	false	are	The new gaming console is unaffordable.
-98	0.05603	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.
-46	0.223997	true	are	The water is too cold.
51	0.458914	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
83	0.555406	false	strings	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.
-63	0.854188	false	strings
54	0.580276	true	strings	All animals like to scratch their ears.
21	0.201487	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-95	0.352126	true	are	John ate pasta for dinner.
-46	0.293408	true	are	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
81	0.898451	true	are	All of the graduates of my program have moved on to other things because the jobs suck.
74	0.838035	false	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.
43	0.733519	false	strings	We built our society on clean energy.
93	0.568541	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
22	0.650078	false	random	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
75	0.531238	true	random	John ate pasta for dinner.
-63	0.655537	false	random	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-62	0.694075	true	random	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.
63	0.954505	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-67	0.036963	true	random	Chicago City Hall is the official seat of government of Chicago.
-93	0.51861	true	random	Some dogs like to scratch their ears.
99	0.327572	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
52	0.084189	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.
-53	0.263042	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-76	0.124854	true	random	Chicago City Hall is the official seat of government of the City of Chicago.
40	0.64818	false	strings	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-1	0.993334	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.
79	0.992311	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.
80	0.383908	false	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
74	0.827137	false	are	I can actually see him getting into a Lincoln saying this.
30	0.481005	true	these	The cat did not sit on the mat.
-42	0.852598	true	random	All animals like to scratch their ears.
73	0.451785	true	strings	Tom and Adam were whispering in the theater.
-42	0.972336	true	strings	I can actually see him climbing into a Lincoln saying this.
31	0.82905	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-96	0.270886	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-7	0.820715	false	random	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-58	0.904529	true	these	The market is about to get harder, but not impossible to navigate.
67	0.516716	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 not be unexpected.
65	0.130947	false	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-76	0.744659	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-95	0.630599	false	are	Some of the graduates of my program have moved on to other things because the jobs suck.
28	0.115471	true	these	All of the graduates of my program have moved on to other things because the jobs suck.
19	0.550913	true	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
76	0.296395	true	these	Tom and Adam were whispering in the theater.

Subsets and Splits

No community queries yet

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