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@@ -29,3 +29,23 @@ configs:
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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: test
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  path: data/test-*
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  ---
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+
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+ # Dataset Card for STSB
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+
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+ The Semantic Textual Similarity Benchmark (Cer et al., 2017) is a collection of sentence pairs drawn from news headlines, video and image captions, and natural language inference data.
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+ Each pair is human-annotated with a similarity score from 1 to 5. However, for this variant, the similarity scores are normalized to between 0 and 1.
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+
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+ ## Dataset Details
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+
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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 man is playing a large flute.',
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+ 'sentence2': 'A man is playing a flute.',
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+ 'score': 0.76,
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+ }
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+ ```
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+ * Collection strategy: Reading the sentences and score from STSB dataset and dividing the score by 5.
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+ * Deduplified: No