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Update README.md (#14)
Browse files- Update README.md (54a107bb9f1e42de36b457b045d8b2ecbcd4afb3)
Co-authored-by: Gabriel Mongaras <[email protected]>
README.md
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@@ -681,7 +681,7 @@ An example of 'test' looks as follows.
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```
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{
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"premise": "What have you decided, what are you going to do?",
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"hypothesis": "So what's your decision
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"label": -1,
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"idx": 0
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}
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#### mrpc
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#### qnli
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#### qqp
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#### rte
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#### sst2
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#### stsb
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#### wnli
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### Data Fields
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#### mrpc
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#### qnli
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#### qqp
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#### rte
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#### sst2
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#### stsb
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#### wnli
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### Data Splits
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```
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{
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"premise": "What have you decided, what are you going to do?",
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"hypothesis": "So what's your decision?",
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"label": -1,
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"idx": 0
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}
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#### mrpc
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 1.5 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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{
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"sentence1": "Amrozi accused his brother, whom he called "the witness", of deliberately distorting his evidence.",
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"sentence2": "Referring to him as only "the witness", Amrozi accused his brother of deliberately distorting his evidence.",
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"label": 1,
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"idx": 0
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}
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```
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#### qnli
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 28 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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{
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"question": "When did the third Digimon series begin?",
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"sentence": "Unlike the two seasons before it and most of the seasons that followed, Digimon Tamers takes a darker and more realistic approach to its story featuring Digimon who do not reincarnate after their deaths and more complex character development in the original Japanese.",
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"label": 1,
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"idx": 0
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}
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```
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#### qqp
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 107 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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"question1": "How is the life of a math student? Could you describe your own experiences?",
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"question2": "Which level of prepration is enough for the exam jlpt5?",
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"label": 0,
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"idx": 0
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}
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```
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#### rte
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 1.9 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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"sentence1": "No Weapons of Mass Destruction Found in Iraq Yet.",
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"sentence2": "Weapons of Mass Destruction Found in Iraq.",
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"label": 1,
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"idx": 0
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```
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#### sst2
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 4.9 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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"sentence": "hide new secretions from the parental units",
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"label": 0,
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"idx": 0
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```
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#### stsb
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 1.2 MB
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- **Total amount of disk used:** ??
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An example of 'train' looks as follows.
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```
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"sentence1": "A plane is taking off.",
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"sentence2": "An air plane is taking off.",
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"label": 5.0,
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"idx": 0
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```
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#### wnli
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- **Size of downloaded dataset files:** ??
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- **Size of the generated dataset:** 0.18 MB
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An example of 'train' looks as follows.
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```
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"sentence1": "I stuck a pin through a carrot. When I pulled the pin out, it had a hole.",
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"sentence2": "The carrot had a hole.",
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"label": 1,
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"idx": 0
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```
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### Data Fields
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#### mrpc
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- `sentence1`: a `string` feature.
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- `sentence2`: a `string` feature.
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- `label`: a classification label, with possible values including `not_equivalent` (0), `equivalent` (1).
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- `idx`: a `int32` feature.
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#### qnli
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- `question`: a `string` feature.
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- `sentence`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `not_entailment` (1).
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- `idx`: a `int32` feature.
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#### qqp
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- `question1`: a `string` feature.
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- `question2`: a `string` feature.
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- `label`: a classification label, with possible values including `not_duplicate` (0), `duplicate` (1).
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- `idx`: a `int32` feature.
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#### rte
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- `sentence1`: a `string` feature.
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- `sentence2`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `not_entailment` (1).
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- `idx`: a `int32` feature.
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#### sst2
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- `sentence`: a `string` feature.
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- `label`: a classification label, with possible values including `negative` (0), `positive` (1).
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- `idx`: a `int32` feature.
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#### stsb
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- `sentence1`: a `string` feature.
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- `sentence2`: a `string` feature.
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- `label`: a float32 regression label, with possible values from 0 to 5.
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- `idx`: a `int32` feature.
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#### wnli
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- `sentence1`: a `string` feature.
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- `sentence2`: a `string` feature.
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- `label`: a classification label, with possible values including `not_entailment` (0), `entailment` (1).
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- `idx`: a `int32` feature.
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### Data Splits
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