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
8	0.6033	false	these	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-11	0.15441	false	random	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.
11	0.172259	true	strings	I can actually see him climbing into a Lincoln saying this.
-62	0.218411	true	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
-100	0.724597	true	strings	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
42	0.890613	false	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.
73	0.680003	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-30	0.271961	false	are	Some of the graduates of my program have moved on to other things because the jobs suck.
33	0.143067	false	strings	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-94	0.800488	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-7	0.444623	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.
-1	0.324113	false	strings	I can actually see him climbing into a Mazda saying this.
-24	0.006239	false	are	I can actually see him climbing into a Lincoln saying this.
80	0.04838	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.
15	0.531292	false	random	The water is too cold.
50	0.706842	false	strings	Some of the graduates of my program have moved on to other things because the jobs suck.
-69	0.799509	false	these	We built our society on clean energy.
-86	0.424069	false	strings	Some dogs like to scratch their ears.
75	0.608135	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.
27	0.282217	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-60	0.403849	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.
6	0.155946	false	these
-58	0.766757	false	these	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-3	0.753523	true	random	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
25	0.712144	false	random	The market is about to get harder, but not impossible to navigate.
77	0.263328	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.
61	0.093731	false	are	I can actually see him climbing into a Mazda saying this.
84	0.796822	true	these	And if both apply, they are essentially impossible.
93	0.959175	true	are	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-43	0.684474	true	random	Tom and Adam were whispering in the theater.
-95	0.996398	true	strings	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.
-52	0.42282	true	these	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-56	0.061251	true	random	Out of the box, Ouya supports Twitch.tv and XBMC media player.
93	0.124458	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
21	0.969486	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-98	0.890729	true	random	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-30	0.034839	false	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-7	0.189564	false	strings	Some animals like to scratch their ears.
-74	0.38796	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.
-16	0.891078	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
53	0.177332	true	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
42	0.552333	true	these	Chicago City Hall is the official seat of government of the City of Chicago.
93	0.935278	false	strings	The cat did not sit on the mat.
82	0.780499	false	strings	All animals like to scratch their ears.
66	0.104053	false	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
51	0.622724	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
78	0.519277	false	random	I can actually see him getting into a Lincoln saying this.
-31	0.178282	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
-29	0.651697	false	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-67	0.600307	true	random	I can actually see him climbing into a Lincoln saying this.
-98	0.9416	false	are	We consider all context words as positive examples and sample negatives at random from the dictionary.
8	0.851156	true	random	Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
77	0.963167	true	strings	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-40	0.529848	false	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
61	0.638648	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 not be unexpected.
30	0.821152	true	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.
-16	0.160116	true	these	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
87	0.836702	true	random	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-34	0.560922	false	are	And if both apply, they are essentially possible.
0	0.603903	true	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-17	0.497793	false	are	All dogs like to scratch their ears.
17	0.619788	false	strings	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.
-94	0.783913	false	random	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
54	0.541745	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.
94	0.972759	false	are	All of the graduates of my program have moved on to other things because the jobs suck.
-42	0.194734	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
-62	0.284378	false	are	The new gaming console is unaffordable.
21	0.799176	false	strings	The cat did not sit on the mat.
-38	0.243185	true	strings	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.
-83	0.772119	false	these	And if both apply, they are essentially impossible.
-25	0.613414	false	strings	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
70	0.032542	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
66	0.071627	true	strings	The cat sat on the mat.
-39	0.139073	true	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
63	0.549609	false	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.
37	0.900561	false	strings	John ate pasta for supper.
13	0.022292	true	these	We consider all words as positive examples and sample negatives at random from the dictionary.
39	0.9907	false	are	Tom and Adam were whispering loudly in the theater.
86	0.162167	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.
59	0.314543	true	random	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
30	0.721631	true	are	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-4	0.780315	false	random	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
62	0.284855	false	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.
3	0.624112	true	strings	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-16	0.97158	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
98	0.257939	true	random
-9	0.346094	true	are	We consider all words as positive examples and sample negatives at random from the dictionary.
47	0.514977	false	these	John ate pasta for dinner.
-67	0.169867	false	these	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
65	0.182749	false	strings	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
17	0.724516	true	random	The new gaming console is unaffordable.
39	0.869092	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
43	0.387226	true	these	All animals like to scratch their ears.
91	0.161617	true	these	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
20	0.554054	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
36	0.492607	false	strings	We consider all context words as positive examples and sample negatives at random from the dictionary.
-35	0.072765	true	random	And if both apply, they are essentially impossible.
-94	0.84594	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.
31	0.440169	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
37	0.491349	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.

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