PhilipGAQ/CMedTEB

114 downloads in 30 days0 likesLast modified 9 Jul 2026View on Hugging Face

The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at af3bf9b
Licence files: No licence file at the top level of the repositoryEvidence: file list at af3bf9b
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@inproceedings{jiang-etal-2026-benchmarking,
    title = "Benchmarking and Enabling Efficient {C}hinese Medical Retrieval via Asymmetric Encoders",
    author = "Jiang, Angqing  and
      Chen, Jianlyu  and
      Zhefang  and
      Wang, Yongcan  and
      Li, Xinpeng  and
      Ding, Keyu  and
      Lian, Defu",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.acl-long.916/",
    doi = "10.18653/v1/2026.acl-long.916",
    pages = "20000--20020",
    ISBN = "979-8-89176-390-6",
    abstract = "Effective medical text retrieval requires both high accuracy and low latency. While LLM-based embedding models possess powerful retrieval capabilities, their prohibitive latency and high computational cost limit their application in real-time scenarios. Furthermore, the lack of comprehensive and high-fidelity benchmarks hinders progress in Chinese medical text retrieval. In this work, we introduce the **C**hinese **Med**ical **T**ext **E**mbedding **B**enchmark (**CMedTEB**), a benchmark spanning three kinds of practical embedding tasks: retrieval, reranking, and semantic textual similarity (STS). Dis

All datasets marked Use restrictions | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "PhilipGAQ/CMedTEB" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0