README.md

metadata

dataset_info:
  features:
    - name: prompt
      dtype: string
    - name: choices
      dtype: string
    - name: answer
      dtype: string
    - name: image
      dtype: image
    - name: lang
      dtype: string
  splits:
    - name: ar_img
      num_bytes: 1643935
      num_examples: 101
    - name: en_img
      num_bytes: 1636747
      num_examples: 101
    - name: fr_img
      num_bytes: 1640337
      num_examples: 101
    - name: ar_text
      num_bytes: 81260
      num_examples: 212
    - name: en_text
      num_bytes: 53985
      num_examples: 212
    - name: fr_text
      num_bytes: 62001
      num_examples: 213
  download_size: 5016049
  dataset_size: 5118265
configs:
  - config_name: default
    data_files:
      - split: ar_img
        path: data/ar_img-*
      - split: en_img
        path: data/en_img-*
      - split: fr_img
        path: data/fr_img-*
      - split: ar_text
        path: data/ar_text-*
      - split: en_text
        path: data/en_text-*
      - split: fr_text
        path: data/fr_text-*
license: cc-by-4.0
task_categories:
  - multiple-choice
language:
  - ar
  - fr
  - en
pretty_name: DrivingExamMCQA
tags:
  - driving

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).

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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 Name	Data Type	Description
prompt	string	The driving exam question.
choices	string	The multiple-choice options provided for the prompt.
answer	string	The correct answer to the question.
image	image	Associated image (present in _img splits; null in _text splits).
lang	string	Language code (ar, en, or fr).

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Splits Summary

The dataset includes six splits organized by language and modality:

Split Name	Language	Modality	# Examples
ar_img	Arabic	Image	101
en_img	English	Image	101
fr_img	French	Image	101
ar_text	Arabic	Text	212
en_text	English	Text	212
fr_text	French	Text	213

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License

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

---

Citation

If you use this dataset, please cite using:

@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}
}