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@@ -55,4 +55,73 @@ language:
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  - fr
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  pretty_name: DrivingExamMCQA
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - fr
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  pretty_name: DrivingExamMCQA
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+ tags:
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+ - driving
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+ ---
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+
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+
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+ # **DrivingExamMCQA**
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+
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+ 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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+
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+ ---
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+
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+ ## **Overview**
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+
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+ Each language includes two modalities:
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+
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+ * **Image-supported questions** (`_img` splits):
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+ Questions paired with an image (e.g., road signs, traffic scenarios).
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+
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+ * **Text-only questions** (`_text` splits):
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+ Standard multiple-choice questions without visual context.
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+
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+ ---
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+
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+ ## **Features**
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+
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+ The dataset includes the following core features:
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+
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+ | Feature Name | Data Type | Description |
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+ | ------------ | --------- | ---------------------------------------------------------------------- |
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+ | `prompt` | string | The driving exam question. |
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+ | `choices` | string | The multiple-choice options provided for the prompt. |
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+ | `answer` | string | The correct answer to the question. |
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+ | `image` | image | Associated image (present in `_img` splits; `null` in `_text` splits). |
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+ | `lang` | string | Language code (`ar`, `en`, or `fr`). |
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+
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+ ---
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+
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+ ## **Splits Summary**
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+
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+ The dataset includes six splits organized by language and modality:
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+
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+ | Split Name | Language | Modality | # Examples |
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+ | ---------- | -------- | -------- | ---------- |
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+ | `ar_img` | Arabic | Image | 101 |
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+ | `en_img` | English | Image | 101 |
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+ | `fr_img` | French | Image | 101 |
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+ | `ar_text` | Arabic | Text | 212 |
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+ | `en_text` | English | Text | 212 |
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+ | `fr_text` | French | Text | 213 |
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+
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+ ---
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+
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+ ## **License**
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+
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+ This dataset is distributed under the **CC-BY-4.0** license.
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+
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+ ---
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+
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+ ## **Citation**
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+
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+ If you use this dataset, please cite using:
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+ ```bibtex
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+ @misc{DrivingExamMCQA,
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+ title={DrivingExamMCQA: A Multilingual Multimodal Dataset for Driving Exam Question Answering},
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+ author={Eric Saikali},
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+ year={2025},
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+ url={https://huggingface.co/datasets/ESmike/driving_mcqa}
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+ }
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+ ```