Buckets:
| language: | |
| - ar | |
| license: apache-2.0 | |
| size_categories: | |
| - 1K<n<10K | |
| task_categories: | |
| - question-answering | |
| - text-generation | |
| pretty_name: arabic_reasoning_qa_ds | |
| dataset_info: | |
| features: | |
| - name: Question | |
| dtype: string | |
| - name: Answer | |
| dtype: int16 | |
| splits: | |
| - name: train | |
| num_bytes: 84363 | |
| num_examples: 715 | |
| - name: eval | |
| num_bytes: 21034 | |
| num_examples: 185 | |
| - name: test | |
| num_bytes: 11585 | |
| num_examples: 100 | |
| download_size: 51525 | |
| dataset_size: 116982 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: eval | |
| path: data/eval-* | |
| - split: test | |
| path: data/test-* | |
| --- | |
| **language:** 🌐 Arabic | **license:** apache-2.0 | **datasets:** 📚 ARabic Reasoning QA | **task_categories:** 🔍 Question Answering | **task_ids:** 🧠 Reasoning | |
| --- | |
| # ARabic Reasoning QA | |
| ## Dataset Description | |
| The **ARabic Reasoning QA** dataset consists of Arabic reasoning questions designed to test various levels of reasoning skills. It includes questions with varying complexity levels: beginner, intermediate, and advanced. This dataset is suitable for training and evaluating models on reasoning tasks in Arabic. | |
| ## Dataset Structure 🏗️ | |
| The dataset is organized into the following splits: | |
| - **train**: Training data. | |
| - **eval**: Evaluation data. | |
| - **test**: Testing data. | |
| ### Data Fields | |
| - **Question**: The reasoning question in Arabic. | |
| - **Answer**: The integer answer to the question. | |
| ### Example | |
| Here are some examples of the dataset: | |
| **Example 1:** | |
| - **Question**: لدي أربعة كتب وثلاثة دفاتر. كم عدد الأشياء التي لدي؟ | |
| - **Answer**: 7 | |
| **Example 2:** | |
| - **Question**: إذا كان لديك ثلاث سيارات، وأعطيت واحدة منها، كم سيارة ستبقى لديك؟ | |
| - **Answer**: 2 | |
| **Example 3:** | |
| - **Question**: كم عدد الأصابع في يد واحدة؟ | |
| - **Answer**: 5 | |
| ## Usage | |
| To use this dataset, you can load it via the Hugging Face `datasets` library. Here's an example of how to load the dataset: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset('MohammedNasser/ARabic_Reasoning_QA') | |
| ``` | |
| ## License | |
| This dataset is licensed under the Apache 2.0 License. | |
| ## Citation | |
| If you use this dataset in your research, please cite it as follows: | |
| ``` | |
| @article{arabic_reasoning_benchmarking, | |
| title={Benchmarking Arabic Reasoning Models: Utilizing the ARabic Reasoning QA Dataset}, | |
| author={M. N. Gaber}, | |
| year={2024}, | |
| publisher={Hugging Face Hub}, | |
| url={https://huggingface.co/MohammedNasser/ARabic_Reasoning_QA} | |
| } | |
| ``` | |
| ``` | |
| This version reflects the Apache 2.0 license and includes all relevant details for users to properly cite and use the dataset. |
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