Dataset Card for STSB

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': 'A man is playing a large flute.',
    'sentence2': 'A man is playing a flute.',
    'score': 0.76,
  }
  

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