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    | @@ -154,14 +154,14 @@ Despite originally being intended for Natural Language Inference (NLI), this dat | |
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            ### `pair-score` subset
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            * Columns: "sentence1", "sentence2", " | 
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            * Column types: `str`, `str`, `float`
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            * Examples:
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                ```python
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                {
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                  'sentence1': 'A person on a horse jumps over a broken down airplane.',
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                  'sentence2': 'A person is training his horse for a competition.',
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                  ' | 
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                }
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                ```
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            * Collection strategy: Taking the `pair-class` subset and remapping "entailment", "neutral" and "contradiction" to 1.0, 0.5 and 0.0, respectively.
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            ### `pair-score` subset
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            +
            * Columns: "sentence1", "sentence2", "score"
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            * Column types: `str`, `str`, `float`
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            * Examples:
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                ```python
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                {
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                  'sentence1': 'A person on a horse jumps over a broken down airplane.',
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                  'sentence2': 'A person is training his horse for a competition.',
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                  'score': 0.5,
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                }
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                ```
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            * Collection strategy: Taking the `pair-class` subset and remapping "entailment", "neutral" and "contradiction" to 1.0, 0.5 and 0.0, respectively.
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