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--- |
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language: |
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- en |
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- es |
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- fr |
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- it |
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license: apache-2.0 |
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pretty_name: Multilingual Medical Corpus |
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tags: |
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- medical |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: en |
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num_bytes: 7672665166 |
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num_examples: 21226237 |
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- name: es |
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num_bytes: 6245812986 |
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num_examples: 35444286 |
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- name: fr |
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num_bytes: 4763269707 |
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num_examples: 7192779 |
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- name: it |
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num_bytes: 1021535232 |
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num_examples: 3504555 |
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download_size: 10530951092 |
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dataset_size: 19703283091 |
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configs: |
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- config_name: default |
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data_files: |
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- split: en |
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path: data/en-* |
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- split: es |
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path: data/es-* |
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- split: fr |
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path: data/fr-* |
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- split: it |
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path: data/it-* |
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--- |
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<p align="center"> |
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<br> |
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<img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="width: 30%;"> |
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<h2 align="center">Mutilingual Medical Corpus</h2> |
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<be> |
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<p align="justify"> |
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Multilingual-Medical-Corpus a 3 billion word multilingual corpus for training LLMs adapted to the medical domain. Multilingual-Medical-Corpus includes four languages, namely, English, Spanish, French, and Italian. |
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</p> |
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- 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain]() |
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- 🌐 Project Website: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote) |
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# Corpus Description |
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- **Developed by**: Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata and Andrea Zaninello |
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- **Contact**: [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/) and [Rodrigo Agerri](https://ragerri.github.io/) |
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- **Website**: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote) |
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- **Funding**: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR |
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- **Language(s) (NLP)**: English, Spanish, French, Italian |
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- **License**: apache-2.0 |
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|
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## English Split |
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| Source | Words | |
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|-----------------|----------------| |
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| ClinicalTrials | 127.4M | |
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| EMEA | 12M | |
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| PubMed | 968.4M | |
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## Spanish Split |
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| Source | Words | |
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|-----------------|----------------| |
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| EMEA | 13.6M | |
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| PubMed | 8.4M | |
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| Medical Crawler | 918M | |
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| SPACC | 350K | |
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| UFAL | 10.5M | |
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| WikiMed | 5.2M | |
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## French Split |
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| Source | Words | |
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|----------------------|----------------| |
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| PubMed | 1.4M | |
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| Science Direct | 15.2M | |
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| Wikipedia - Médecine | 5M | |
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| EDP | 48K | |
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| Google Patents | 654M | |
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## Italian Split |
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| Source | Words | |
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|--------------------------|----------------| |
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| Medical Commoncrawl - IT | 67M | |
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| Drug instructions | 30.5M | |
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| Wikipedia - Medicina | 13.3M | |
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| E3C Corpus - IT | 11.6M | |
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| Medicine descriptions | 6.3M | |
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| Medical theses | 5.8M | |
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| Medical websites | 4M | |
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| PubMed | 2.3M | |
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| Supplement description | 1.3M | |
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| Medical notes | 975K | |
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| Pathologies | 157K | |
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| Medical test simulations | 26K | |
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| Clinical cases | 20K | |
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## Citation |
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We will soon release a paper, but, for now, you can use: |
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```bibtext |
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@inproceedings{medical-mt5, |
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title = "{{Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}}", |
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author = "{Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello}", |
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publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)", |
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year = 2024 } |
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``` |
