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README.md
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path: it/train-*
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- split: test
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path: it/test-*
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---
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path: it/train-*
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- split: test
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path: it/test-*
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license: apache-2.0
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task_categories:
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- question-answering
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- summarization
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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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tags:
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- biology
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- medical
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pretty_name: Multilingual BioASQ-6B
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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 BioASQ-6B</h2>
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<be>
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<p align="justify">
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We translate the BioASQ-6B English Question Answering dataset to generate parallel French, Italian and Spanish versions using the NLLB200 3B parameter model. For more info read the original task description: [http://bioasq.org/participate/challenges_year_6](http://bioasq.org/participate/challenges_year_6)
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We translate the `body`, `snippets`, `ideal_answer` and `exact_answer` fields. We have validated the quality of the `ideal_answer` field, however, the `exact_answer` field can contain translation artifacts, as NLLB200 often produces low-quality translations of single-word sentences.
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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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- Original Dataset: [http://bioasq.org/participate/challenges_year_6](http://bioasq.org/participate/challenges_year_6)
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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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## 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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```
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