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@@ -165,4 +165,49 @@ configs:
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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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+
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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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+
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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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+
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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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+
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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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+
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+ ## Citation
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+
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+ We will soon release a paper, but, for now, you can use:
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+
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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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+ ```
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+