int
int64
-100
99
float
float64
0
1
bool
bool
2 classes
string
stringclasses
4 values
text
stringlengths
0
238
-94
0.895443
false
random
Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
-62
0.996623
false
random
Some of the graduates of my program have moved on to other things because the jobs suck.
93
0.153596
true
strings
House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
54
0.235099
true
these
Chicago City Hall is the official seat of government of the City of Chicago.
-63
0.206365
true
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.
-82
0.733642
false
these
Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-98
0.340719
false
strings
We consider some context words as positive examples and sample negatives at random from the dictionary.
-65
0.319626
true
strings
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-82
0.042885
false
strings
Tom and Adam were whispering quietly in the theater.
-71
0.44654
true
random
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-69
0.032258
false
strings
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
63
0.725943
false
random
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
61
0.749079
true
these
27
0.718466
false
these
John ate pasta for dinner.
99
0.497954
true
strings
We built our society on unclean energy.
6
0.882735
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.
-95
0.466218
false
these
We built our society on unclean energy.
24
0.313879
true
are
Chicago City Hall is the official seat of government of the City of Chicago.
30
0.970566
true
strings
I can actually see him getting into a Lincoln saying this.
33
0.924231
true
random
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-5
0.957805
true
these
Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-1
0.112808
false
are
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
37
0.191495
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.
8
0.274251
true
are
The villain is the character who tends to have a negative effect on other characters.
-26
0.35004
false
these
Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
46
0.698309
true
random
In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
95
0.872705
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.
54
0.322767
true
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.
-78
0.173037
false
strings
In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-58
0.553747
false
these
John ate pasta for breakfast.
38
0.952964
true
strings
John ate pasta for dinner.
-1
0.205884
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.
23
0.149643
false
these
I can actually see him getting into a Lincoln saying this.
56
0.066717
true
these
The water is too hot.
-76
0.699626
true
these
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-16
0.37357
false
these
Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
95
0.621028
false
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.
-61
0.309571
true
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.
-82
0.108844
true
random
Tom and Adam were whispering in the theater.
-28
0.189132
true
random
Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
40
0.264488
false
are
Tom and Adam were whispering loudly in the theater.
-59
0.248095
true
strings
Writing Java is similar to programming with handcuffs.
-23
0.052449
true
are
Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
50
0.125112
true
strings
In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.
25
0.37136
false
strings
I can actually see him climbing into a Mazda saying this.
52
0.611941
true
random
Some of the graduates of my program have moved on to other things because the jobs suck.
-23
0.574087
false
random
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-99
0.038467
false
strings
John ate pasta for supper.
-12
0.829947
false
these
In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
0
0.732683
true
strings
Tom and Adam were whispering loudly in the theater.
17
0.264255
false
these
We built our society on clean energy.
46
0.183316
true
are
I can actually see him climbing into a Mazda saying this.
-77
0.335847
true
these
Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-35
0.030916
false
strings
Tom and Adam were whispering loudly in the theater.
-14
0.719771
true
strings
Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
79
0.788554
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.
-3
0.905233
true
these
Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-4
0.413338
false
these
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
70
0.692648
false
strings
The villain is the character who tends to have a negative effect on other characters.
94
0.064612
true
these
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
53
0.011691
false
are
Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.
-91
0.082258
true
strings
The water is too hot.
42
0.391378
false
these
The market is about to get harder, but not impossible to navigate.
43
0.314631
false
are
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
22
0.115226
true
strings
And if both apply, they are essentially possible.
34
0.180831
false
random
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
76
0.535447
false
these
Most of the graduates of my program have moved on to other things because the jobs suck.
97
0.400311
false
strings
In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
11
0.138373
true
random
The water is too hot.
89
0.659074
true
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.
38
0.486373
true
are
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-19
0.907399
false
random
All of the graduates of my program have moved on to other things because the jobs suck.
66
0.062856
true
are
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
48
0.497257
false
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.
10
0.373214
false
are
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
86
0.985329
false
random
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
11
0.156808
true
are
We consider all context words as positive examples and sample many negatives at random from the dictionary.
-13
0.184883
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.
12
0.228897
false
are
Tom and Adam were whispering in the theater.
-63
0.08348
false
random
Some animals like to scratch their ears.
61
0.435345
true
are
Most of the graduates of my program have moved on to other things because the jobs suck.
-3
0.295912
true
these
We consider some context words as positive examples and sample negatives at random from the dictionary.
-21
0.862552
true
these
The cat sat on the mat.
8
0.756154
false
random
The cat did not sit on the mat.
14
0.693853
false
random
The villain is the character who tends to have a negative effect on other characters.
-89
0.574891
false
strings
We consider all words as positive examples and sample negatives at random from the dictionary.
-93
0.572962
false
are
Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.
18
0.833632
false
strings
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.
-18
0.447409
true
are
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
29
0.480871
true
strings
We consider many context words as positive examples and sample negatives at random from the dictionary.
-97
0.5224
true
are
House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
72
0.228936
true
random
All dogs like to scratch their ears.
-17
0.212748
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.
45
0.903893
false
are
Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.
-45
0.377598
false
random
We consider some context words as positive examples and sample negatives at random from the dictionary.
30
0.340128
false
these
Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
86
0.372026
true
strings
Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
24
0.893491
false
these
We consider all context words as positive examples and sample many negatives at random from the dictionary.
53
0.355367
true
these
Tom and Adam were whispering in the theater.
-53
0.895506
true
strings
The cat sat on the mat.