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Xavier Fontaine
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MedNERF

MedNERF is a French medical NER dataset whose aim is to serve as a test set for medical NER models. It has been built using a sample of French medical prescriptions annotated with the same guidelines as the n2c2 dataset. Entities are annotated with the following labels: Drug, Strength, Form, Dosage, Duration and Frequency.

It is available in two forms:

  • mednerf_raw.jsonl: a JSONlines file containing one JSON object per sample with the sample raw text and its annotations
  • mednerf_tokenized.json: a JSON file containing a tokenized version of the dataset with labels in IOB-format corresponding to the tokens of each sample.

Licensing Information

This dataset is distributed under the Creative Commons Attribution Non Commercial Share Alike 4.0 license.

Citation information

@inproceedings{mednerf,
    title = "Multilingual Clinical NER: Translation or Cross-lingual Transfer?",
    author = "Gaschi, Félix and Fontaine, Xavier and Rastin, Parisa and Toussaint, Yannick",
    booktitle = ""Proceedings of the 5th Clinical Natural Language Processing Workshop",
    publisher = "Association for Computational Linguistics",
    year = "2023"
}