Omartificial-Intelligence-Space/Arabic-stsb
Arabic STSB Structure The Arabic Version of the the Semantic Textual Similarity Benchmark (Cer et al., 2017) it 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. Examples: { "sentence1": "طائرة ستقلع", "sentence2": "طائرة جوية ستقلع", "score": 1.0 }… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-stsb.
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