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	0.567942	false	are	Tom and Adam were whispering loudly in the theater.
-49	0.204224	true	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.
30	0.068317	true	random	And if both apply, they are essentially impossible.
32	0.536705	false	random	We consider all context words as positive examples and sample negatives at random from the dictionary.
-80	0.033809	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.
24	0.795484	false	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
90	0.801415	true	random	The new gaming console is unaffordable.
9	0.399714	false	strings	Tom and Adam were whispering quietly in the theater.
-20	0.476132	false	these	Writing Java is not too different from programming with handcuffs.
60	0.885244	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
53	0.517499	false	strings	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-53	0.072195	false	these	We consider all words as positive examples and sample negatives at random from the dictionary.
-81	0.164025	false	strings	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
87	0.572051	true	these	All animals like to scratch their ears.
-28	0.417408	true	are	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-56	0.903752	false	these	Out of the box, Ouya supports Twitch.tv and XBMC media player.
67	0.227373	true	strings	The new gaming console is affordable.
-25	0.639983	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
18	0.604371	false	these	We built our society on clean energy.
-6	0.359455	true	strings	Chicago City Hall is the official seat of government of the City of Chicago.
-48	0.140352	false	these	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.
20	0.417064	false	strings	We consider all words as positive examples and sample negatives at random from the dictionary.
78	0.019623	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.
5	0.048672	false	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.
62	0.174745	true	strings	I can actually see him getting into a Lincoln saying this.
8	0.371344	false	strings	John ate pasta for supper.
37	0.698607	false	strings	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
16	0.743323	false	these	I can actually see him climbing into a Lincoln saying this.
80	0.012946	false	random	Most of the graduates of my program have moved on to other things because the jobs suck.
-29	0.350625	true	are	John ate pasta for dinner.
15	0.763296	true	strings	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-22	0.129102	true	are	In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-71	0.80563	true	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.
-94	0.328968	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
40	0.641694	false	random	All animals like to scratch their ears.
-37	0.927906	true	strings	Writing Java is similar to programming with handcuffs.
-19	0.197209	true	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.
51	0.017611	false	are	Some of the graduates of my program have moved on to other things because the jobs suck.
-79	0.907515	false	these	All dogs like to scratch their ears.
64	0.922346	true	random	Chicago City Hall is the official seat of government of the City of Chicago.
-50	0.970181	false	are	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
86	0.342693	true	are	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
30	0.649113	false	random	And if both apply, they are essentially possible.
-12	0.832622	false	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-16	0.034422	false	are	Writing Java is similar to programming with handcuffs.
-27	0.019419	true	these	Most of the graduates of my program have moved on to other things because the jobs suck.
9	0.076772	true	random	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.
9	0.556042	true	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-99	0.768846	false	these	Tom and Adam were whispering quietly in the theater.
-48	0.334719	true	these	We built our society on clean energy.
-47	0.528299	false	are	We consider some words as positive examples and sample negatives at random from the dictionary.
-80	0.990001	false	these	The water is too cold.
-34	0.740426	false	are	All dogs like to scratch their ears.
-96	0.053493	true	are	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-85	0.674196	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.
47	0.69272	true	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.
25	0.395688	false	are	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.
36	0.334423	false	strings	I can actually see him climbing into a Lincoln saying this.
-61	0.597546	true	these	House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-85	0.766649	true	strings	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
16	0.898348	false	are	We consider many context words as positive examples and sample negatives at random from the dictionary.
-20	0.026896	false	random	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
32	0.252874	false	these
-76	0.125758	true	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
48	0.451985	true	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.
96	0.129956	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.
-85	0.248294	true	strings	John ate pasta for dinner.
-11	0.690152	false	random	House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-20	0.936561	false	strings	The water is too cold.
70	0.420849	true	are	In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
24	0.95375	false	strings	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
22	0.058321	true	are	In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
94	0.263834	true	are	John ate pasta for dinner.
-49	0.347307	false	random	Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
52	0.571232	false	are	I can actually see him climbing into a Lincoln saying this.
-19	0.371188	false	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
61	0.096711	false	these	And if both apply, they are essentially possible.
-1	0.047761	false	strings	Tom and Adam were whispering in the theater.
-11	0.757358	true	are	Some animals like to scratch their ears.
0	0.47493	false	random	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
46	0.267484	true	random	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.
35	0.89749	false	strings	The cat sat on the mat.
-65	0.616852	false	are	We consider some context words as positive examples and sample negatives at random from the dictionary.
-78	0.425736	true	are	John ate pasta for dinner.
-49	0.246215	false	random	The villain is the character who tends to have a negative effect on other characters.
-77	0.66655	false	these	All of the graduates of my program have moved on to other things because the jobs suck.
3	0.373144	false	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-87	0.779511	true	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
-15	0.622406	false	are	Most of the graduates of my program have moved on to other things because the jobs suck.
89	0.570558	false	random	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.
53	0.172819	false	random	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-95	0.756869	true	random	Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-23	0.32058	true	strings	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-15	0.62411	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
80	0.100371	true	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.
-37	0.315981	false	random	The new gaming console is unaffordable.
-7	0.333122	true	these	We consider some words as positive examples and sample negatives at random from the dictionary.
7	0.465499	false	these	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-36	0.174897	true	these	The villain is the character who tends to have a negative effect on other characters.
-16	0.420263	true	strings	We consider all words as positive examples and sample negatives at random from the dictionary.

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