task_categories:token-classification size_categories:n<1K language:fr license:cc-by-nc-sa-4.0 medical arxiv:2306.04384 region:us
---
license: cc-by-nc-sa-4.0
task_categories:
- token-classification
language:
- fr
tags:
- medical
pretty_name: MedNERF
size_categories:
- n<1K
---


# MedNERF

## Dataset Description

- **Paper:** [Multilingual Clinical NER: Translation or Cross-lingual Transfer?](https://arxiv.org/abs/2306.04384)
- **Point of Contact:** [email](research@posos.fr)

### Dataset Summary

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](https://academic.oup.com/jamia/article-abstract/27/1/3/5581277?redirectedFrom=fulltext&login=false).
Entities are annotated with the following labels: `Drug`, `Strength`, `Form`, `Dosage`, `Duration` and `Frequency`, using the IOB format.

## 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"
}
```