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--- |
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language: |
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- ar |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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- question-answering |
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pretty_name: Fatwa Training Dataset (Standardized) |
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tags: |
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- islamic-jurisprudence |
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- fatwa |
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- sharia |
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- fiqh |
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- arabic |
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- training |
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- standardized |
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- sahm-benchmark |
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--- |
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# Fatwa Training Dataset (Standardized) |
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## Dataset Description |
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This is the standardized conversation-format version of the Fatwa training dataset, containing Islamic jurisprudence Q&A pairs for training language models on Islamic legal rulings and religious guidance. |
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### Dataset Summary |
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- **Language:** Arabic |
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- **Size:** ~11,700 training examples |
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- **Domain:** Islamic jurisprudence, Sharia law, Fiqh |
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- **Format:** Conversational (human-agent pairs) |
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- **Task:** Islamic fatwa generation and religious Q&A |
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## Dataset Structure |
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### Data Fields |
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- `id`: Unique identifier for each example |
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- `conversations`: List containing human-agent dialogue |
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- Human role: Contains the question with Islamic context framing |
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- Agent role: Contains the fatwa/religious ruling |
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- `category`: Category of the fatwa (e.g., murabaha, zakat, riba, etc.) |
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- `is_referral`: Whether the answer mainly refers to other sources |
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- `question_length`: Length of the question in characters |
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- `answer_length`: Length of the answer in characters |
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## Categories |
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The dataset covers various Islamic jurisprudence topics including: |
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- Murabaha (Islamic financing) |
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- Zakat (obligatory charity) |
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- Riba (usury/interest) |
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- Salah (prayer) |
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- Hajj (pilgrimage) |
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- Business transactions |
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- Family law |
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- And many more categories |
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## Example |
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```json |
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{ |
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"id": "fatwa_00446", |
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"conversations": [ |
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{ |
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"role": "human", |
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"content": "بناءً على أحكام الشريعة الإسلامية والفقه الإسلامي، أجب على السؤال التالي بفتوى شرعية مفصلة ومدعمة بالأدلة عند الإمكان.\n\nالسؤال: تحريم الشيء هل يقتضي الفساد؟\n\nالفتوى الشرعية:" |
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}, |
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{ |
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"role": "agent", |
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"content": "قد يقتضي الفساد، وقد لا يقتضي الفساد، فالنهي عن البيع يقتضي فساد البيع..." |
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} |
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], |
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"category": "riba", |
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"is_referral": "NO", |
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"question_length": 45, |
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"answer_length": 234 |
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} |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("SahmBenchmark/fatwa-training_standardized") |
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train_data = dataset['train'] |
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# Access an example |
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example = train_data[0] |
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conversation = example['conversations'] |
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print(f"Category: {example['category']}") |
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print(f"Question: {conversation[0]['content']}") |
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print(f"Fatwa: {conversation[1]['content']}") |
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``` |
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## Training Considerations |
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When using this dataset for training: |
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- Ensure the model understands the religious and cultural context |
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- Be aware that fatwas may vary based on different schools of Islamic thought |
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- The dataset represents specific interpretations and should be used accordingly |
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- Consider the sensitivity of religious rulings in production applications |
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## Citation |
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```bibtex |
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@dataset{fatwa_training_standardized_2025, |
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title={Fatwa Training Dataset (Standardized)}, |
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author={SahmBenchmark}, |
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year={2025}, |
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publisher={Hugging Face} |
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} |
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``` |
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## Disclaimer |
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This dataset is for academic and research purposes. Religious rulings should be sought from qualified Islamic scholars for practical application. |
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