metadata

license: cc-by-4.0
language:
  - en
  - es
  - fr
  - it
tags:
  - casimedicos
  - explainability
  - medical exams
  - medical question answering
  - multilinguality
  - argument mining
  - argument generation
  - LLMs
  - LLM
pretty_name: CasiMedicos-Arg
configs:
  - config_name: en
    data_files:
      - split: train
        path:
          - en/train_en_ordered.csv
      - split: validation
        path:
          - en/validation_en_ordered.csv
      - split: test
        path:
          - en/test_en_ordered.csv
  - config_name: es
    data_files:
      - split: train
        path:
          - es/train_es_ordered.csv
      - split: validation
        path:
          - es/validation_es_ordered.csv
      - split: test
        path:
          - es/test_es_ordered.csv
  - config_name: fr
    data_files:
      - split: train
        path:
          - fr/train_fr_ordered.csv
      - split: validation
        path:
          - fr/validation_fr_ordered.csv
      - split: test
        path:
          - fr/test_fr_ordered.csv
  - config_name: it
    data_files:
      - split: train
        path:
          - it/train_it_ordered.csv
      - split: validation
        path:
          - it/validation_it_ordered.csv
      - split: test
        path:
          - it/test_it_ordered.csv
task_categories:
  - text-generation
  - question-answering
  - token-classification
size_categories:
  - 1K<n<10K

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures

CasiMedicos-Arg is, to the best of our knowledge, the first multilingual dataset for Medical Question Answering where correct and incorrect diagnoses for a clinical case are enriched with a natural language explanation written by doctors. The casimedicos-exp have been manually annotated with argument components (i.e., premise, claim) and argument relations (i.e., attack, support). Thus, Multilingual CasiMedicos-arg dataset consists of 558 clinical cases (English, Spanish, French, Italian) with explanations, where we annotated 5021 claims, 2313 premises, 2431 support relations, and 1106 attack relations.

Antidote CasiMedicos-Arg splits
train	434
validation	63
test	125

📖 Paper:CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
💻 Github Repo (Data and Code): https://github.com/ixa-ehu/antidote-casimedicos
🌐 Project Website: https://univ-cotedazur.eu/antidote
Funding: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR

Example of Document in Antidote CasiMedicos Dataset

Results of Argument Component Detection using LLMs

Citation

If you use CasiMedicos-Arg then please cite the following paper:

@inproceedings{sviridova-etal-2024-casimedicos,
    title = {{CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures}},
    author = "Sviridova, Ekaterina  and
      Yeginbergen, Anar  and
      Estarrona, Ainara  and
      Cabrio, Elena  and
      Villata, Serena  and
      Agerri, Rodrigo",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    year = "2024",
    url = "https://aclanthology.org/2024.emnlp-main.1026",
    pages = "18463--18475"
}

Contact: Rodrigo Agerri HiTZ Center - Ixa, University of the Basque Country UPV/EHU