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ESmike/driving_mcqa

DrivingExamMCQA The DrivingExamMCQA dataset is a Multiple-Choice Question Answering (MCQA) collection based on real driving exam questions. It supports multilingual assessment across three languages: Arabic (ar), French (fr), and English (en) (with translations). Overview Each language includes two modalities: Image-supported questions (_img splits): Questions paired with an image (e.g., road signs, traffic scenarios). Text-only questions (_text splits):… See the full description on the dataset page: https://huggingface.co/datasets/ESmike/driving_mcqa.

sourceHugging Facecc-by-4.0updated 11mo agoView on Hugging Face
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Dataset Card

DrivingExamMCQA

The DrivingExamMCQA dataset is a Multiple-Choice Question Answering (MCQA) collection based on real driving exam questions. It supports multilingual assessment across three languages: Arabic (ar), French (fr), and English (en) (with translations).

Overview

Each language includes two modalities:

  • —Image-supported questions (_img splits): Questions paired with an image (e.g., road signs, traffic scenarios).
  • —Text-only questions (_text splits): Standard multiple-choice questions without visual context.

Features

The dataset includes the following core features:

Feature NameData TypeDescription
promptstringThe driving exam question.
choicesstringThe multiple-choice options provided for the prompt.
answerstringThe correct answer to the question.
imageimageAssociated image (present in _img splits; null in _text splits).
langstringLanguage code (ar, en, or fr).

Splits Summary

The dataset includes six splits organized by language and modality:

Split NameLanguageModality# Examples
ar_imgArabicImage101
en_imgEnglishImage101
fr_imgFrenchImage101
ar_textArabicText212
en_textEnglishText212
fr_textFrenchText213

License

This dataset is distributed under the CC-BY-4.0 license.

Citation

If you use this dataset, please cite using:

bibtex
@misc{DrivingExamMCQA,
  title={DrivingExamMCQA: A Multilingual Multimodal Dataset for Driving Exam Question Answering},
  author={Eric Saikali},
  year={2025},
  url={https://huggingface.co/datasets/ESmike/driving_mcqa}
}