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  # Dataset Card for STSB
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- This dataset is machine translated using DeepL.
 
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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 Card for STSB
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+ This dataset is sourced from the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) repository.
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+ The content has been translated using DeepL machine translation.
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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.