CHIP-STS (Semantic Textual Similarity Dataset)
Introduced by Zhang et al. in CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
CHIP Semantic Textual Similarity, a dataset for sentence similarity in the non-i.i.d. (non-independent and identically distributed) setting, is used for the CHIP-STS task. Specifically, the task aims to transfer learning between disease types on Chinese disease questions and answer data. Given question pairs related to 5 different diseases (The disease types in the training and testing set are different), the task intends to determine whether the semantics of the two sentences are similar.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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CHIP-STS
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MacBERT-large
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Papers
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