int int64 -100 99 | float float64 0 1 | bool bool 2
classes | string stringclasses 4
values | text stringlengths 0 238 |
|---|---|---|---|---|
15 | 0.546937 | true | 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. |
-65 | 0.702592 | true | these | The villain is the character who tends to have a negative effect on other characters. |
69 | 0.132813 | true | random | Tom and Adam were whispering in the theater. |
-31 | 0.666137 | true | strings | Most of the graduates of my program have moved on to other things because the jobs suck. |
-88 | 0.283703 | false | these | I can actually see him getting into a Lincoln saying this. |
20 | 0.869882 | false | random | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
56 | 0.688667 | false | strings | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-26 | 0.089928 | true | strings | House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership. |
80 | 0.317401 | false | these | I can actually see him getting into a Lincoln saying this. |
76 | 0.386237 | 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. |
57 | 0.908659 | false | are | Most of the graduates of my program have moved on to other things because the jobs suck. |
-62 | 0.357289 | true | these | We consider some context words as positive examples and sample negatives at random from the dictionary. |
-19 | 0.277315 | false | 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. |
-63 | 0.645257 | false | strings | Chicago City Hall is the official seat of government of the City of Chicago. |
-70 | 0.783981 | true | strings | Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-98 | 0.85998 | false | random | Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content. |
80 | 0.32786 | true | random | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-48 | 0.033009 | true | random | Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content. |
-67 | 0.560838 | false | are | The market is about to get harder, but possible to navigate. |
-74 | 0.899486 | true | these | Chicago City Hall is the official seat of government of Chicago. |
-37 | 0.368442 | false | random | Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos. |
19 | 0.597951 | true | are | John ate pasta for dinner. |
28 | 0.78117 | 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. |
-100 | 0.62282 | true | are | I can actually see him getting into a Lincoln saying this. |
-69 | 0.081477 | false | 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. |
41 | 0.698276 | 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. |
44 | 0.011064 | false | strings | 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. |
42 | 0.756323 | false | these | We built our society on clean energy. |
-18 | 0.831576 | false | these | Some animals like to scratch their ears. |
90 | 0.227268 | true | random | Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player. |
-77 | 0.109896 | false | are | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
17 | 0.505624 | true | strings | None of the graduates of my program have moved on to other things because the jobs suck. |
-55 | 0.305539 | true | strings | Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos. |
-23 | 0.058792 | false | these | Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally. |
47 | 0.019779 | true | random | 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. |
-97 | 0.741104 | true | strings | We consider some context words as positive examples and sample negatives at random from the dictionary. |
43 | 0.279149 | true | random | All of the graduates of my program have moved on to other things because the jobs suck. |
81 | 0.184317 | true | these | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
-59 | 0.214652 | true | are | In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
-78 | 0.421716 | true | random | Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally. |
-49 | 0.543827 | true | these | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-33 | 0.849868 | true | these | Most of the graduates of my program have moved on to other things because the jobs suck. |
15 | 0.59042 | false | are | 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. |
62 | 0.986968 | true | random | All dogs like to scratch their ears. |
-66 | 0.173539 | false | random | The water is too cold. |
-27 | 0.967993 | false | random | Cruz has frequently derided as "amnesty" any bill that confers legal status or citizenship on people living in the country illegally. |
-74 | 0.828284 | true | random | Writing Java is not too different from programming with handcuffs. |
-57 | 0.771782 | 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. |
63 | 0.33548 | false | random | Tom and Adam were whispering loudly in the theater. |
-2 | 0.47391 | true | random | Most of the graduates of my program have moved on to other things because the jobs suck. |
-82 | 0.750319 | false | are | None of the graduates of my program have moved on to other things because the jobs suck. |
-11 | 0.137114 | true | random | We consider some words as positive examples and sample negatives at random from the dictionary. |
59 | 0.958441 | false | random | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
-82 | 0.785318 | true | strings | The water is too cold. |
61 | 0.832316 | false | these | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
6 | 0.83815 | true | random | When you've got 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. |
-4 | 0.765938 | false | random | Most of the graduates of my program have moved on to other things because the jobs suck. |
-58 | 0.903957 | false | random | Tom and Adam were whispering in the theater. |
-85 | 0.397274 | true | are | Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos. |
89 | 0.192706 | true | these | John ate pasta for breakfast. |
-51 | 0.063028 | false | random | Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player. |
-88 | 0.787646 | false | strings | Most of the graduates of my program have moved on to other things because the jobs suck. |
91 | 0.643993 | true | are | Chicago City Hall is the official seat of government of the City of Chicago. |
-64 | 0.59845 | false | random | 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. |
-67 | 0.988966 | false | are | Tom and Adam were whispering quietly in the theater. |
-14 | 0.464012 | false | these | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
62 | 0.947104 | true | random | Some dogs like to scratch their ears. |
19 | 0.019036 | true | random | Out of the box, Ouya supports Twitch.tv and XBMC media player. |
18 | 0.001286 | false | strings | In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
51 | 0.879497 | true | are | Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content. |
76 | 0.044542 | true | are | We consider some context words as positive examples and sample negatives at random from the dictionary. |
77 | 0.38322 | false | random | Tom and Adam were whispering loudly in the theater. |
70 | 0.068775 | true | are | House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership. |
14 | 0.616718 | false | random | In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
34 | 0.471009 | true | are | And if both apply, they are essentially possible. |
5 | 0.651408 | false | random | Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s. |
-94 | 0.65231 | true | random | Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities. |
27 | 0.022258 | false | 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. |
41 | 0.616651 | 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 not be unexpected. |
55 | 0.306688 | false | these | In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings. |
29 | 0.740344 | true | 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. |
-33 | 0.861469 | false | are | The new gaming console is unaffordable. |
13 | 0.325805 | true | these | Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose. |
87 | 0.689361 | true | these | John ate pasta for breakfast. |
-36 | 0.014571 | false | are | The new gaming console is affordable. |
0 | 0.779732 | false | these | We consider all context words as positive examples and sample many negatives at random from the dictionary. |
-61 | 0.799733 | true | these | We consider some words as positive examples and sample negatives at random from the dictionary. |
-56 | 0.688269 | false | these | House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership. |
-68 | 0.128726 | false | strings | I can actually see him getting into a Lincoln saying this. |
-35 | 0.214315 | true | are | John ate pasta for dinner. |
-94 | 0.095438 | true | strings | In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding. |
26 | 0.962928 | true | are | When you've got 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. |
-9 | 0.050622 | 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. |
-99 | 0.033317 | false | these | We built our society on unclean energy. |
52 | 0.877787 | true | these | The water is too cold. |
61 | 0.534416 | false | these | The market is about to get harder, but not impossible to navigate. |
69 | 0.238588 | false | these | Chicago City Hall is the official seat of government of the City of Chicago. |
-22 | 0.9447 | false | these | Most of the graduates of my program have moved on to other things because the jobs suck. |
75 | 0.008007 | true | random | The new gaming console is affordable. |
64 | 0.81168 | 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. |
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