int int64 -100 99 | float float64 0 1 | bool bool 2
classes | string stringclasses 4
values | text stringlengths 0 238 |
|---|---|---|---|---|
12 | 0.62451 | true | random | The water is too cold. |
74 | 0.678717 | 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. |
-56 | 0.799328 | false | are | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-9 | 0.141165 | true | these | Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose. |
3 | 0.982167 | false | strings | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-50 | 0.970578 | false | are | We consider some words as positive examples and sample negatives at random from the dictionary. |
50 | 0.38739 | false | random | Chicago City Hall is the official seat of government of the City of Chicago. |
-9 | 0.544226 | true | are | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-45 | 0.283527 | true | these | John ate pasta for dinner. |
39 | 0.229784 | 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. |
-25 | 0.951615 | false | 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. |
49 | 0.125622 | false | these | House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership. |
91 | 0.484779 | true | strings | Out of the box, Ouya supports Twitch.tv and XBMC media player. |
-91 | 0.87906 | true | strings | And if both apply, they are essentially possible. |
-86 | 0.072649 | false | strings | John ate pasta for dinner. |
13 | 0.384583 | true | these | The water is too cold. |
-7 | 0.856006 | true | random | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
94 | 0.6631 | true | these | I can actually see him climbing into a Lincoln saying this. |
61 | 0.498468 | false | 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. |
67 | 0.3054 | false | random | Some animals like to scratch their ears. |
-54 | 0.003082 | true | random | Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose. |
88 | 0.562072 | false | strings | John ate pasta for breakfast. |
-1 | 0.181782 | true | random | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-55 | 0.045311 | true | these | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
13 | 0.278179 | true | 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. |
71 | 0.280978 | false | these | John ate pasta for breakfast. |
75 | 0.187882 | true | strings | House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership. |
-97 | 0.700588 | false | these | Most of the graduates of my program have moved on to other things because the jobs suck. |
89 | 0.854518 | true | strings | John ate pasta for dinner. |
-45 | 0.825413 | false | strings | Chicago City Hall is the official seat of government of the City of Chicago. |
16 | 0.979853 | 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. |
-21 | 0.015148 | false | 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. |
-17 | 0.079307 | false | random | Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities. |
89 | 0.184209 | true | random | Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player. |
-9 | 0.278624 | true | 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. |
10 | 0.777451 | true | are | And if both apply, they are essentially impossible. |
80 | 0.524733 | false | these | John ate pasta for breakfast. |
22 | 0.718691 | false | random | I can actually see him climbing into a Lincoln saying this. |
-41 | 0.098773 | true | are | The villain is the character who tends to have a negative effect on other characters. |
-92 | 0.915531 | true | these | House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership. |
-47 | 0.041705 | 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. |
-12 | 0.037288 | true | these | John ate pasta for dinner. |
45 | 0.045946 | true | random | We consider all context words as positive examples and sample negatives at random from the dictionary. |
3 | 0.519829 | false | these | Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos. |
24 | 0.253635 | true | random | Writing Java is similar to programming with handcuffs. |
6 | 0.083421 | false | random | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
-80 | 0.93541 | true | random | Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally. |
53 | 0.884616 | true | are | Tom and Adam were whispering in the theater. |
-27 | 0.489097 | true | random | I can actually see him climbing into a Lincoln saying this. |
-13 | 0.187734 | true | strings | The market is about to get harder, but not impossible to navigate. |
-79 | 0.772297 | 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. |
-56 | 0.809487 | true | these | Some of the graduates of my program have moved on to other things because the jobs suck. |
58 | 0.545113 | false | these | Tom and Adam were whispering loudly in the theater. |
-19 | 0.919876 | false | these | Chicago City Hall is the official seat of government of the City of Chicago. |
-100 | 0.744872 | false | strings | The new gaming console is affordable. |
-64 | 0.07455 | true | 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. |
67 | 0.789807 | false | strings | Most of the graduates of my program have moved on to other things because the jobs suck. |
-68 | 0.342155 | false | these | In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-72 | 0.144929 | false | strings | |
-20 | 0.14658 | 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. |
-32 | 0.278195 | true | these | Tom and Adam were whispering in the theater. |
-30 | 0.127863 | true | random | All dogs like to scratch their ears. |
48 | 0.978904 | true | are | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
-52 | 0.361315 | 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. |
63 | 0.139927 | true | strings | Chicago City Hall is the official seat of government of the City of Chicago. |
82 | 0.127033 | false | are | The cat sat on the mat. |
-60 | 0.415038 | true | random | The water is too hot. |
-51 | 0.040209 | true | these | Writing Java is not too different from programming with handcuffs. |
-43 | 0.038299 | true | 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. |
67 | 0.508445 | false | are | And if both apply, they are essentially possible. |
-10 | 0.401468 | true | strings | 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. |
85 | 0.503397 | true | 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 | 0.477284 | true | strings | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
37 | 0.008962 | true | strings | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-82 | 0.439943 | false | strings | Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
84 | 0.496285 | false | are | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
12 | 0.454843 | true | these | I can actually see him climbing into a Lincoln saying this. |
92 | 0.719905 | true | random | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
99 | 0.060199 | true | 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. |
-3 | 0.687904 | false | strings | Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s. |
-11 | 0.644223 | true | random | None of the graduates of my program have moved on to other things because the jobs suck. |
35 | 0.21105 | false | random | Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s. |
-7 | 0.220888 | false | strings | Tom and Adam were whispering in the theater. |
-36 | 0.953349 | false | random | John ate pasta for dinner. |
-36 | 0.288987 | false | strings | And if both apply, they are essentially impossible. |
-28 | 0.573803 | true | strings | We consider all context words as positive examples and sample many negatives at random from the dictionary. |
-14 | 0.285459 | false | random | We built our society on clean energy. |
-100 | 0.811517 | true | these | We consider many context words as positive examples and sample negatives at random from the dictionary. |
-29 | 0.596025 | false | random | We consider some words as positive examples and sample negatives at random from the dictionary. |
3 | 0.206233 | true | are | We consider some context words as positive examples and sample negatives at random from the dictionary. |
44 | 0.84372 | true | strings | The cat did not sit on the mat. |
73 | 0.472705 | true | random | We consider all context words as positive examples and sample negatives at random from the dictionary. |
21 | 0.932364 | true | these | Tom and Adam were whispering loudly in the theater. |
-96 | 0.848754 | false | random | We consider some context words as positive examples and sample negatives at random from the dictionary. |
-73 | 0.497216 | true | are | We consider many context words as positive examples and sample negatives at random from the dictionary. |
-68 | 0.940487 | true | 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. |
58 | 0.817274 | true | are | House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership. |
-64 | 0.697004 | true | these | The villain is the character who tends to have a negative effect on other characters. |
29 | 0.373616 | true | these | House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership. |
-14 | 0.676936 | true | random | We built our society on clean energy. |
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