int
int64
-100
99
float
float64
0
1
bool
bool
2 classes
string
stringclasses
4 values
text
stringlengths
0
238
-97
0.097714
true
strings
In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
88
0.688075
false
these
In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-21
0.378471
false
are
Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
17
0.448922
true
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.
-12
0.197546
false
these
Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-32
0.602683
true
these
Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-96
0.831102
false
random
We consider all context words as positive examples and sample negatives at random from the dictionary.
93
0.489497
true
strings
Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
92
0.535551
true
strings
Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-18
0.567992
true
strings
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
72
0.848113
false
random
John ate pasta for supper.
39
0.816212
true
these
Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
-97
0.1847
false
strings
We built our society on unclean energy.
-10
0.653564
true
these
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.
-44
0.575355
true
are
We consider all words as positive examples and sample negatives at random from the dictionary.
31
0.471651
false
strings
We consider all words as positive examples and sample negatives at random from the dictionary.
70
0.893964
false
these
We consider all context words as positive examples and sample negatives at random from the dictionary.
41
0.884741
true
strings
Writing Java is similar to programming with handcuffs.
15
0.938961
true
random
I can actually see him climbing into a Mazda saying this.
1
0.290468
true
random
In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-95
0.932882
false
random
The villain is the character who tends to have a negative effect on other characters.
32
0.151685
false
strings
Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
98
0.732016
true
are
We consider some words as positive examples and sample negatives at random from the dictionary.
-22
0.677193
true
random
Tom and Adam were whispering quietly in the theater.
94
0.883005
true
strings
House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-72
0.381681
true
random
Some animals like to scratch their ears.
5
0.031564
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.
59
0.054778
false
random
We consider many context words as positive examples and sample negatives at random from the dictionary.
-100
0.859671
true
random
All of the graduates of my program have moved on to other things because the jobs suck.
-84
0.947035
false
random
All of the graduates of my program have moved on to other things because the jobs suck.
-42
0.112832
false
these
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.
-81
0.960664
false
these
Chicago City Hall is the official seat of government of Chicago.
3
0.709291
false
random
Some dogs like to scratch their ears.
-68
0.90011
true
strings
I can actually see him climbing into a Mazda saying this.
-86
0.207012
true
strings
The cat did not sit on the mat.
66
0.644267
false
random
Most of the graduates of my program have moved on to other things because the jobs suck.
-72
0.596736
true
random
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-17
0.691539
true
random
I can actually see him climbing into a Lincoln saying this.
42
0.316782
true
strings
In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
42
0.174534
false
random
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-41
0.508858
false
these
All of the graduates of my program have moved on to other things because the jobs suck.
97
0.351437
false
these
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-98
0.078481
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.
60
0.283691
false
these
The cat did not sit on the mat.
66
0.094498
false
random
The water is too hot.
-15
0.453401
true
random
I can actually see him climbing into a Mazda saying this.
99
0.795862
false
these
Tom and Adam were whispering in the theater.
72
0.703572
false
strings
Writing Java is not too different from programming with handcuffs.
-53
0.867065
false
random
I can actually see him climbing into a Lincoln saying this.
82
0.073771
false
strings
Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
64
0.815749
true
these
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
0.616073
true
these
The cat sat on the mat.
-70
0.845817
true
these
Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
-66
0.307794
true
random
Some animals like to scratch their ears.
57
0.35213
false
are
Some of the graduates of my program have moved on to other things because the jobs suck.
85
0.876724
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.
61
0.171862
true
these
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-64
0.070602
true
strings
Tom and Adam were whispering quietly in the theater.
-96
0.761699
true
are
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
62
0.283989
false
are
I can actually see him climbing into a Lincoln saying this.
-29
0.775925
true
these
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
88
0.526653
false
random
We consider all context words as positive examples and sample many negatives at random from the dictionary.
74
0.894706
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.
-94
0.876583
false
random
And if both apply, they are essentially impossible.
-72
0.450992
false
are
The new gaming console is affordable.
30
0.620621
true
these
17
0.227488
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.
95
0.094843
true
these
We built our society on clean energy.
91
0.424485
true
random
The water is too cold.
12
0.050999
true
random
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-25
0.249308
false
strings
The cat sat on the mat.
22
0.585138
false
strings
Most of the graduates of my program have moved on to other things because the jobs suck.
3
0.7093
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.
54
0.342971
true
random
Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally.
-10
0.628955
false
random
The new gaming console is affordable.
-15
0.432768
true
random
Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally.
21
0.207259
true
these
We consider some context words as positive examples and sample negatives at random from the dictionary.
-25
0.029167
false
random
Tom and Adam were whispering loudly in the theater.
-77
0.760749
true
strings
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.
-76
0.532279
true
are
Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
71
0.07558
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
0.533452
false
these
In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-28
0.229247
false
random
Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
52
0.418705
false
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.
99
0.011699
false
are
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-55
0.097982
false
are
The cat did not sit on the mat.
36
0.71466
true
are
The water is too hot.
21
0.479132
false
these
In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-100
0.177361
false
random
In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-66
0.637169
true
random
And if both apply, they are essentially possible.
50
0.86471
true
are
Out of the box, Ouya supports Twitch.tv and XBMC media player.
59
0.348486
true
these
Writing Java is not too different from programming with handcuffs.
-18
0.665884
true
strings
The market is about to get harder, but not impossible to navigate.
33
0.102565
false
strings
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
40
0.312191
false
are
We built our society on unclean energy.
49
0.239446
true
these
The new gaming console is unaffordable.
63
0.973437
false
strings
Tom and Adam were whispering in the theater.
-69
0.497985
true
are
All dogs like to scratch their ears.
-13
0.694831
false
are
Tom and Adam were whispering loudly in the theater.
-74
0.857745
false
strings
In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.