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@@ -25,7 +25,8 @@ The model was trained on following datasets.
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  - [JSNLI](https://nlp.ist.i.kyoto-u.ac.jp/?%E6%97%A5%E6%9C%AC%E8%AA%9ESNLI%28JSNLI%29%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88)
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  - [JNLI](https://github.com/yahoojapan/JGLUE) (only train set)
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  - [JSICK](https://github.com/verypluming/JSICK) (only train set)
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  For a given sentence pair, it will output three scores corresponding to the labels: {0:"entailment", 1:"neutral", 2:"contradiction}.
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  ## Usage
 
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  - [JSNLI](https://nlp.ist.i.kyoto-u.ac.jp/?%E6%97%A5%E6%9C%AC%E8%AA%9ESNLI%28JSNLI%29%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88)
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  - [JNLI](https://github.com/yahoojapan/JGLUE) (only train set)
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  - [JSICK](https://github.com/verypluming/JSICK) (only train set)
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  For a given sentence pair, it will output three scores corresponding to the labels: {0:"entailment", 1:"neutral", 2:"contradiction}.
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  ## Usage