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
configs:
- config_name: medwiki
data_files:
- split: train
path: medwiki/train-*
- split: validation
path: medwiki/validation-*
- split: test
path: medwiki/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",
}