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README.md
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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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# Dataset Card for STSB
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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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## Dataset Details
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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
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