int int64 -100 99 | float float64 0 1 | bool bool 2
classes | string stringclasses 4
values | text stringlengths 0 238 |
|---|---|---|---|---|
55 | 0.488708 | false | random | The water is too hot. |
20 | 0.486546 | true | random | Writing Java is not too different from programming with handcuffs. |
78 | 0.466835 | true | strings | The water is too hot. |
89 | 0.715929 | true | random | Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose. |
-53 | 0.611314 | false | are | Tom and Adam were whispering in the theater. |
14 | 0.206025 | false | random | In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-79 | 0.685496 | false | strings | I can actually see him getting into a Lincoln saying this. |
-37 | 0.586122 | false | these | In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-23 | 0.299518 | true | these | The water is too cold. |
83 | 0.14017 | false | strings | Chicago City Hall is the official seat of government of the City of Chicago. |
-39 | 0.671002 | true | are | I can actually see him climbing into a Mazda saying this. |
34 | 0.491173 | false | are | Most of the graduates of my program have moved on to other things because the jobs suck. |
5 | 0.606467 | true | random | I can actually see him getting into a Lincoln saying this. |
-72 | 0.345943 | false | these | And if both apply, they are essentially possible. |
-68 | 0.003984 | false | random | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-28 | 0.129572 | false | 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. |
-77 | 0.000618 | true | are | We consider some context words as positive examples and sample negatives at random from the dictionary. |
-16 | 0.757419 | 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. |
92 | 0.929208 | false | these | Some animals like to scratch their ears. |
-11 | 0.013936 | true | strings | Some dogs like to scratch their ears. |
-57 | 0.670739 | true | random | Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-36 | 0.008883 | 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. |
64 | 0.60399 | true | these | 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. |
-31 | 0.529219 | false | strings | 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. |
82 | 0.506641 | false | random | Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s. |
-55 | 0.068174 | true | strings | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
13 | 0.933169 | 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. |
43 | 0.724886 | true | random | The cat did not sit on the mat. |
-40 | 0.046155 | 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. |
88 | 0.682288 | true | these | Tom and Adam were whispering quietly in the theater. |
-37 | 0.796261 | false | these | We built our society on unclean energy. |
-16 | 0.867143 | true | these | John ate pasta for dinner. |
-5 | 0.972683 | true | these | Cruz has frequently derided as "amnesty" various plans that confer legal status or citizenship on people living in the country illegally. |
-58 | 0.575059 | false | strings | I can actually see him climbing into a Lincoln saying this. |
51 | 0.75306 | true | these | We consider some context words as positive examples and sample negatives at random from the dictionary. |
36 | 0.685115 | 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. |
-55 | 0.977599 | false | strings | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-90 | 0.532982 | 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. |
75 | 0.099462 | true | these | The new gaming console is affordable. |
42 | 0.14565 | false | these | The cat did not sit on the mat. |
-87 | 0.468449 | true | are | Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content. |
-31 | 0.288496 | true | random | 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. |
-15 | 0.119498 | false | random | In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
9 | 0.751792 | 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. |
12 | 0.87838 | false | 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. |
-97 | 0.381006 | false | strings | I can actually see him climbing into a Lincoln saying this. |
-97 | 0.691741 | false | strings | Tom and Adam were whispering in the theater. |
-4 | 0.059768 | true | strings | House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership. |
98 | 0.079002 | false | are | I can actually see him climbing into a Lincoln saying this. |
-63 | 0.175269 | false | strings | Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos. |
-83 | 0.982345 | false | strings | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-33 | 0.221979 | true | random | Tom and Adam were whispering quietly in the theater. |
-55 | 0.980702 | true | random | The water is too cold. |
84 | 0.820014 | true | are | The cat did not sit on the mat. |
-58 | 0.066482 | false | these | The market is about to get harder, but not impossible to navigate. |
90 | 0.884479 | false | are | Chicago City Hall is the official seat of government of Chicago. |
82 | 0.543216 | false | these | Tom and Adam were whispering loudly in the theater. |
74 | 0.480859 | false | these | All of the graduates of my program have moved on to other things because the jobs suck. |
20 | 0.291908 | 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. |
-27 | 0.445889 | false | these | Chicago City Hall is the official seat of government of the City of Chicago. |
-37 | 0.699857 | true | these | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-28 | 0.290214 | true | random | John ate pasta for dinner. |
80 | 0.967672 | true | strings | The market is about to get harder, but possible to navigate. |
-55 | 0.598227 | false | these | Tom and Adam were whispering quietly in the theater. |
9 | 0.417436 | true | random | Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player. |
65 | 0.892075 | false | strings | We consider all context words as positive examples and sample many negatives at random from the dictionary. |
-89 | 0.442708 | false | are | We consider all context words as positive examples and sample many negatives at random from the dictionary. |
-92 | 0.042251 | false | are | House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership. |
-94 | 0.105 | false | strings | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-66 | 0.165031 | false | strings | We built our society on clean energy. |
86 | 0.244719 | true | these | All of the graduates of my program have moved on to other things because the jobs suck. |
36 | 0.071525 | true | random | We consider some words as positive examples and sample negatives at random from the dictionary. |
53 | 0.236699 | true | these | And if both apply, they are essentially possible. |
30 | 0.280824 | true | these | We consider some context words as positive examples and sample negatives at random from the dictionary. |
70 | 0.206607 | true | are | All animals like to scratch their ears. |
-16 | 0.653669 | false | random | Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with. |
56 | 0.610965 | true | these | In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
97 | 0.352213 | 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. |
18 | 0.411064 | true | these | Tom and Adam were whispering in the theater. |
14 | 0.994715 | false | random | The villain is the character who tends to have a negative effect on other characters. |
40 | 0.06798 | true | strings | The villain is the character who tends to have a negative effect on other characters. |
68 | 0.125005 | false | strings | John ate pasta for supper. |
34 | 0.959189 | false | these | All of the graduates of my program have moved on to other things because the jobs suck. |
-5 | 0.470368 | false | random | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-35 | 0.013013 | false | random | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-11 | 0.834089 | true | strings | Most of the graduates of my program have moved on to other things because the jobs suck. |
-46 | 0.979099 | true | strings | Chicago City Hall is the official seat of government of the City of Chicago. |
-15 | 0.453825 | true | strings | Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content. |
58 | 0.554535 | false | are | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
-5 | 0.289449 | true | random | The water is too cold. |
-11 | 0.091128 | true | are | Out of the box, Ouya supports Twitch.tv and XBMC media player. |
-7 | 0.884527 | false | random | John ate pasta for supper. |
-55 | 0.99522 | 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. |
-35 | 0.985493 | true | strings | Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose. |
-50 | 0.208166 | true | these | Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player. |
31 | 0.936644 | false | are | Most of the graduates of my program have moved on to other things because the jobs suck. |
3 | 0.829521 | true | these | Some of the graduates of my program have moved on to other things because the jobs suck. |
0 | 0.140391 | false | are | None of the graduates of my program have moved on to other things because the jobs suck. |
45 | 0.753899 | false | random | Some of the graduates of my program have moved on to other things because the jobs suck. |
57 | 0.282315 | false | these | We built our society on unclean energy. |
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