All datasets / microsoft

microsoft/mediflow

386 downloads in 30 days54 likesLast modified 15 Dec 2025View on Hugging Face

Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: cdla-permissive-2.0, from the tagEvidence: README.md at 18d7c1d
Licence files: No licence file at the top level of the repositoryEvidence: file list at 18d7c1d
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

text-generation

Citation text from the card

@inproceedings{corbeil-etal-2025-modular,
        title = "A Modular Approach for Clinical {SLM}s Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment",
        author = "Corbeil, Jean-Philippe  and
          Dada, Amin  and
          Attendu, Jean-Michel  and
          Ben Abacha, Asma  and
          Sordoni, Alessandro  and
          Caccia, Lucas  and
          Beaulieu, Francois  and
          Lin, Thomas  and
          Kleesiek, Jens  and
          Vozila, Paul",
        editor = "Che, Wanxiang  and
          Nabende, Joyce  and
          Shutova, Ekaterina  and
          Pilehvar, Mohammad Taher",
        booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = jul,
        year = "2025",
        address = "Vienna, Austria",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2025.acl-long.950/",
        doi = "10.18653/v1/2025.acl-long.950",
        pages = "19352--19374",
        ISBN = "979-8-89176-251-0",
        abstract = "High computation costs and latency of large language models such as GPT-4 have limited their deployment in clinical settings. Small language models (SLMs) offer a cost-effective alternative, but their limited capacity requires biomedical domain adaptation, which remains challenging. An additional bottleneck is the unavailability and high sensitivity of clinical dat

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dataset_licence({ "id": "microsoft/mediflow" })
signal: "unclear"
stated_licence: "cdla-permissive-2.0"
sources: 0