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metadata
language:
  - en
license: apache-2.0
task_categories:
  - text-classification
  - multiple-choice
tags:
  - medical
dataset_info:
  - config_name: medwiki
    features:
      - name: text
        dtype: string
      - name: option_0
        dtype: string
      - name: option_1
        dtype: string
      - name: option_2
        dtype: string
      - name: option_3
        dtype: string
      - name: option_4
        dtype: string
      - name: option_5
        dtype: string
      - name: option_6
        dtype: string
      - name: option_7
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': '0'
              '1': '1'
              '2': '2'
              '3': '3'
              '4': '4'
              '5': '5'
              '6': '6'
              '7': '7'
      - name: idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 109074930
        num_examples: 67608
      - name: validation
        num_bytes: 6130956
        num_examples: 3756
      - name: test
        num_bytes: 6076558
        num_examples: 3757
    download_size: 73225366
    dataset_size: 121282444
  - config_name: wikem
    features:
      - name: text
        dtype: string
      - name: option_0
        dtype: string
      - name: option_1
        dtype: string
      - name: option_2
        dtype: string
      - name: option_3
        dtype: string
      - name: option_4
        dtype: string
      - name: option_5
        dtype: string
      - name: option_6
        dtype: string
      - name: option_7
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': '0'
              '1': '1'
              '2': '2'
              '3': '3'
              '4': '4'
              '5': '5'
              '6': '6'
              '7': '7'
      - name: idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 9546660
        num_examples: 13390
      - name: validation
        num_bytes: 506512
        num_examples: 744
      - name: test
        num_bytes: 549352
        num_examples: 744
    download_size: 5549029
    dataset_size: 10602524
  - config_name: wikidoc
    features:
      - name: text
        dtype: string
      - name: option_0
        dtype: string
      - name: option_1
        dtype: string
      - name: option_2
        dtype: string
      - name: option_3
        dtype: string
      - name: option_4
        dtype: string
      - name: option_5
        dtype: string
      - name: option_6
        dtype: string
      - name: option_7
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': '0'
              '1': '1'
              '2': '2'
              '3': '3'
              '4': '4'
              '5': '5'
              '6': '6'
              '7': '7'
      - name: idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 19413715
        num_examples: 25083
      - name: validation
        num_bytes: 1062515
        num_examples: 1394
      - name: test
        num_bytes: 1068352
        num_examples: 1394
    download_size: 12994075
    dataset_size: 21544582
configs:
  - config_name: medwiki
    data_files:
      - split: train
        path: medwiki/train-*
      - split: validation
        path: medwiki/validation-*
      - split: test
        path: medwiki/test-*
  - config_name: wikem
    data_files:
      - split: train
        path: wikem/train-*
      - split: validation
        path: wikem/validation-*
      - split: test
        path: wikem/test-*
  - config_name: wikidoc
    data_files:
      - split: train
        path: wikidoc/train-*
      - split: validation
        path: wikidoc/validation-*
      - split: test
        path: wikidoc/test-*
@inproceedings{sileo-etal-2024-generating-multiple,
    title = "Generating Multiple-choice Questions for Medical Question Answering with Distractors and Cue-masking",
    author = "Sileo, Damien  and
      Uma, Kanimozhi  and
      Moens, Marie-Francine",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.675",
    pages = "7647--7653",
}

https://arxiv.org/abs/2303.07069