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
-73	0.373049	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.
91	0.890407	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-77	0.621469	false	are	I can actually see him climbing into a Mazda saying this.
45	0.773109	false	these	Some animals like to scratch their ears.
-36	0.773323	false	these	The cat did not sit on the mat.
-36	0.021686	false	these	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
47	0.435843	true	strings	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
3	0.694292	true	these	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
96	0.980085	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
31	0.185843	true	random	In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-14	0.248918	true	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.
44	0.166564	false	strings	We consider some context words as positive examples and sample negatives at random from the dictionary.
-14	0.86595	false	are	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-81	0.632326	false	are	We consider many context words as positive examples and sample negatives at random from the dictionary.
11	0.983103	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
75	0.989066	false	these	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.
56	0.408877	false	strings	The cat sat on the mat.
-96	0.430307	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.
-35	0.196761	false	these	I can actually see him climbing into a Lincoln saying this.
-48	0.087245	true	these	Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-34	0.037469	true	strings	The market is about to get harder, but not impossible to navigate.
-22	0.320736	false	these	The new gaming console is unaffordable.
9	0.825554	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-85	0.024105	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.
43	0.549435	true	are	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-37	0.115193	true	are	In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-85	0.662651	false	these	Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-14	0.130701	true	are	Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-11	0.756461	true	are	None of the graduates of my program have moved on to other things because the jobs suck.
-34	0.224189	false	are	We built our society on unclean energy.
-50	0.762908	true	are	The villain is the character who tends to have a negative effect on other characters.
-48	0.290639	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-35	0.283075	false	random	All animals like to scratch their ears.
-51	0.998785	true	these	The market is about to get harder, but not impossible to navigate.
-23	0.705114	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-9	0.975439	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
4	0.279533	false	are	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
-6	0.810939	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-3	0.180227	true	strings	We consider many context words as positive examples and sample negatives at random from the dictionary.
2	0.752671	true	these	All dogs like to scratch their ears.
13	0.070793	false	strings	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
97	0.039882	true	these	Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
37	0.672093	false	strings	All dogs like to scratch their ears.
-32	0.869054	false	strings	The water is too cold.
51	0.494937	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.
33	0.821854	true	are	In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
22	0.888269	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.
-76	0.625359	false	strings	Some animals like to scratch their ears.
-65	0.244997	false	strings	Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-1	0.60892	false	these	Writing Java is similar to programming with handcuffs.
32	0.685807	false	these	The cat did not sit on the mat.
-61	0.914072	true	these	Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
64	0.116074	true	these	And if both apply, they are essentially possible.
44	0.116205	false	are	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.
-40	0.137177	true	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-28	0.015782	false	are	All of the graduates of my program have moved on to other things because the jobs suck.
39	0.311552	false	these	Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
89	0.802691	true	are	Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
36	0.793004	true	these	We consider all context words as positive examples and sample many negatives at random from the dictionary.
29	0.62855	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.
92	0.329579	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.
-62	0.366563	true	these
11	0.02068	true	are	The cat did not sit on the mat.
19	0.751861	false	these	Most of the graduates of my program have moved on to other things because the jobs suck.
1	0.079196	true	strings	Tom and Adam were whispering quietly in the theater.
-83	0.984038	true	strings	Tom and Adam were whispering in the theater.
70	0.102942	false	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.
-37	0.400146	false	strings	In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-5	0.092208	true	random	Tom and Adam were whispering in the theater.
-87	0.891334	false	random	We consider some context words as positive examples and sample negatives at random from the dictionary.
-86	0.332608	true	are	John ate pasta for dinner.
-62	0.379224	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.
69	0.360257	false	random	We built our society on clean energy.
53	0.135421	false	these	Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
40	0.052585	false	strings	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-7	0.332879	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
41	0.35212	true	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.
-92	0.711763	true	are	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.
32	0.650367	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.
-13	0.255398	true	these	We built our society on unclean energy.
33	0.672214	true	these	House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
44	0.440001	true	random	We consider all words as positive examples and sample negatives at random from the dictionary.
-100	0.590929	true	these	All animals like to scratch their ears.
4	0.928391	false	are	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-72	0.512614	true	are	We built our society on clean energy.
-31	0.9694	false	random	Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
-95	0.117636	true	these	John ate pasta for supper.
64	0.802405	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.
22	0.019642	false	random	Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-82	0.552248	false	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.
-54	0.316709	false	are	We consider all words as positive examples and sample negatives at random from the dictionary.
-36	0.693347	true	these	We consider some context words as positive examples and sample negatives at random from the dictionary.
-84	0.914211	true	strings	Most of the graduates of my program have moved on to other things because the jobs suck.
-60	0.748437	true	are	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-99	0.942169	false	are	Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
14	0.032829	false	are	Chicago City Hall is the official seat of government of the City of Chicago.
-42	0.958413	false	strings	Some dogs like to scratch their ears.
49	0.281938	false	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.
-47	0.145761	false	strings	Writing Java is not too different from programming with handcuffs.
-13	0.921129	false	random	In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.

Subsets and Splits

No community queries yet

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