Datasets:

qanastek
/

MORFITT

	---
	license: apache-2.0
	task_categories:
	- text-classification
	language:
	- fr
	tags:
	- medical
	- biology
	pretty_name: MORFITT
	size_categories:
	- 1K<n<10K
	---

	# MORFITT

	## Data ([Zenodo](https://zenodo.org/record/7893841#.ZFLFDnZBybg)) \| Publication ([HAL](https://hal.science/hal-04131591/))
	[Yanis LABRAK](https://www.linkedin.com/in/yanis-labrak-8a7412145/), [Richard DUFOUR](https://cv.hal.science/richard-dufour), [Mickaël ROUVIER](https://cv.hal.science/mickael-rouvier)

	[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/115EixHBcjf-se6xQeaTwZWE1i4idTNbm?usp=sharing) or [![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)](https://github.com/qanastek/MORFITT/blob/main/TrainTransformers.py)

	We introduce MORFITT, the first multi-label corpus for the classification of specialties in the medical field, in French. MORFITT is composed of 3,624 summaries of scientific articles from PubMed, annotated in 12 specialties. The article details the corpus, the experiments and the preliminary results obtained using a classifier based on the pre-trained language model CamemBERT.

	For more details, please refer to our paper:

	MORFITT: A multi-label topic classification for French Biomedical literature ([HAL](https://hal.science/hal-04131591/))


	# Key Features

	## Documents distribution

	\| Train \| Dev \| Test \|
	\|-------\|-------\|-------\|
	\| 1,514 \| 1,022 \| 1,088 \|

	## Multi-label distribution

	\| \| Train \| Dev \| Test \| Total \|
	\|:----------------------:\|:--------------:\|:--------------:\|:--------------:\|:--------------:\|
	\| Vétérinaire \| 320 \| 250 \| 254 \| 824 \|
	\| Étiologie \| 317 \| 202 \| 222 \| 741 \|
	\| Psychologie \| 255 \| 175 \| 179 \| 609 \|
	\| Chirurgie \| 223 \| 169 \| 157 \| 549 \|
	\| Génétique \| 207 \| 139 \| 159 \| 505 \|
	\| Physiologie \| 217 \| 125 \| 148 \| 490 \|
	\| Pharmacologie \| 112 \| 84 \| 103 \| 299 \|
	\| Microbiologie \| 115 \| 72 \| 86 \| 273 \|
	\| Immunologie \| 106 \| 86 \| 70 \| 262 \|
	\| Chimie \| 94 \| 53 \| 65 \| 212 \|
	\| Virologie \| 76 \| 57 \| 67 \| 200 \|
	\| Parasitologie \| 68 \| 34 \| 50 \| 152 \|
	\| Total \| 2,110 \| 1,446 \| 1,560 \| 5,116 \|


	## Number of labels per document distribution

	<p align="left">
	<img src="https://github.com/qanastek/MORFITT/raw/main/images/distributions_nbr_elements_colors.png" alt="drawing" width="400"/>
	</p>

	## Co-occurences distribution

	<p align="left">
	<img src="https://github.com/qanastek/MORFITT/raw/main/images/distributions_co-references-fixed.png" alt="drawing" width="400"/>
	</p>

	# If you use HuggingFace Transformers

	```python
	from datasets import load_dataset
	dataset = load_dataset("qanastek/MORFITT")
	print(dataset)
	```

	or

	```python
	from datasets import load_dataset
	dataset_base = load_dataset(
	'csv',
	data_files={
	'train': f"./train.tsv",
	'validation': f"./dev.tsv",
	'test': f"./test.tsv",
	},
	delimiter="\t",
	)
	```

	# License and Citation

	The code is under [Apache-2.0 License](./LICENSE).

	The MORFITT dataset is licensed under Attribution-ShareAlike 4.0 International ([CC BY-SA 4.0](https://creativecommons.org/licenses/by/4.0/)).
	If you find this project useful in your research, please cite the following papers:

	```plain
	Labrak, Y., Rouvier, M., & Dufour, R. (2023). MORFITT : Un corpus multi-labels d’articles scientifiques français dans le domaine biomédical. In F. Boudin, B. Daille, R. Dufour, O. Khettari, M. Houbre, L. Jourdan, & N. Kooli (Eds.), 18e Conférence en Recherche d’Information et Applications – 16e Rencontres Jeunes Chercheurs en RI – 30e Conférence sur le Traitement Automatique des Langues Naturelles – 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (pp. 66–70). ATALA. https://hal.science/hal-04131591
	```

	or using the bibtex:

	```bibtex
	@inproceedings{labrak:hal-04131591,
	TITLE = {{MORFITT : Un corpus multi-labels d'articles scientifiques fran{\c c}ais dans le domaine biom{\'e}dical}},
	AUTHOR = {Labrak, Yanis and Rouvier, Mickael and Dufour, Richard},
	URL = {https://hal.science/hal-04131591},
	BOOKTITLE = {{18e Conf{\'e}rence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conf{\'e}rence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des {\'E}tudiants Chercheurs en Informatique pour le Traitement Automatique des Langues}},
	ADDRESS = {Paris, France},
	EDITOR = {Boudin, Florian and Daille, B{\'e}atrice and Dufour, Richard and Khettari, Oumaima and Houbre, Ma{\"e}l and Jourdan, L{\'e}ane and Kooli, Nihel},
	PUBLISHER = {{ATALA}},
	PAGES = {66-70},
	YEAR = {2023},
	KEYWORDS = {Analyse de documents scientifiques ; Jeux de donn{\'e}es compos{\'e}s des textes scientifiques},
	PDF = {https://hal.science/hal-04131591/file/1465546.pdf},
	HAL_ID = {hal-04131591},
	HAL_VERSION = {v1},
	}
	```