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.
Columns: "sentence1", "sentence2", "score"
Column types: str, str, float
Examples:{
'sentence1': 'A… See the full description on the dataset page:
https://huggingface.co/datasets/sentence-transformers/stsb.
