driving_mcqa / README.md
ESmike's picture
chore: add readme
edbeaa2 verified
---
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).
---
## **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`). |
---
## **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 |
---
## **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}
}
```