quarkss/stsb-indo-mt

Dataset Card for STSB

This dataset is sourced from the sentence-transformers/stsb repository. The content has been translated using DeepL machine translation.

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. 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.

Dataset Details

• —Columns: "sentence1", "sentence2", "score"
• —Column types: str, str, float
• —Examples:

    {
      'sentence1': 'Seorang pria sedang memainkan seruling besar.',
      'sentence2': 'Seorang pria sedang memainkan seruling.',
      'score': 0.76,
    }

• —Collection strategy: Reading the sentences and score from STSB dataset and dividing the score by 5.
• —Deduplified: No