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. |
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