Update dataset card

README.md

@@ -1,34 +1,122 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: prompt
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: category
-    dtype: string
-  - name: question_length
-    dtype: int64
-  - name: answer_length
-    dtype: int64
-  splits:
-  - name: validation
-    num_bytes: 264608
-    num_examples: 125
-  - name: test
-    num_bytes: 262349
-    num_examples: 125
-  download_size: 263389
-  dataset_size: 526957
-configs:
-- config_name: default
-  data_files:
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language:
+- ar
+license: apache-2.0
+task_categories:
+- question-answering
+- text-generation
+pretty_name: Fatwa Q&A Evaluation Dataset
+tags:
+- islamic-jurisprudence
+- fatwa
+- sharia
+- fiqh
+- evaluation
+- benchmark
+- arabic
+- sahm-benchmark
 ---
+
+# Fatwa Q&A Evaluation Dataset
+
+## Dataset Description
+
+Evaluation dataset for Islamic jurisprudence Q&A, extracted from the Fatwa MCQ evaluation dataset. This dataset contains validation and test splits for evaluating language models on Islamic legal rulings and religious guidance.
+
+### Dataset Summary
+
+- **Language:** Arabic
+- **Size:** 250 evaluation examples (125 validation, 125 test)
+- **Domain:** Islamic jurisprudence, Sharia law, Fiqh
+- **Format:** Simple prompt-answer pairs
+- **Task:** Fatwa generation evaluation
+
+## Dataset Structure
+
+### Data Fields
+
+- `id`: Unique identifier for each example
+- `prompt`: The full prompt with Islamic context and question
+- `question`: The original question text
+- `answer`: Ground truth fatwa/religious ruling
+- `category`: Category of the fatwa (murabaha, ijara, takaful, sukuk, etc.)
+- `question_length`: Length of the question in characters
+- `answer_length`: Length of the answer in characters
+
+### Data Splits
+
+- **Validation**: 125 examples (50%)
+- **Test**: 125 examples (50%)
+
+## Categories
+
+The dataset covers various Islamic finance and jurisprudence topics:
+- Murabaha (Islamic financing)
+- Ijara (Islamic leasing)
+- Takaful (Islamic insurance)
+- Sukuk (Islamic bonds)
+- General Islamic jurisprudence
+
+## Example
+
+```json
+{
+  "id": "fatwa_eval_00009",
+  "prompt": "بناءً على أحكام الشريعة الإسلامية والفقه الإسلامي، أجب على السؤال التالي بفتوى شرعية مفصلة ومدعمة بالأدلة عند الإمكان.\n\nالسؤال: [question text]\n\nالفتوى الشرعية:",
+  "question": "[Original question]",
+  "answer": "[Ground truth fatwa]",
+  "category": "murabaha",
+  "question_length": 234,
+  "answer_length": 567
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the evaluation dataset
+dataset = load_dataset("SahmBenchmark/fatwa-qa-evaluation")
+
+# Access splits
+val_data = dataset['validation']
+test_data = dataset['test']
+
+# Evaluation example
+for example in test_data:
+    model_output = model.generate(example['prompt'])
+    ground_truth = example['answer']
+    
+    # Evaluate the generated fatwa
+    score = evaluate_fatwa(model_output, ground_truth)
+```
+
+## Evaluation Considerations
+
+When evaluating models on this dataset:
+- Consider theological accuracy and adherence to Islamic principles
+- Evaluate the quality of evidence and references provided
+- Assess clarity and comprehensiveness of the fatwa
+- Be aware that fatwas may vary based on different schools of Islamic thought
+- Consider using semantic similarity metrics in addition to exact matching
+
+## Related Datasets
+
+- Training dataset: `SahmBenchmark/fatwa-training_standardized`
+- MCQ evaluation: `SahmBenchmark/fatwa-mcq-evaluation`
+
+## Citation
+
+```bibtex
+@dataset{fatwa_qa_evaluation_2025,
+  title={Fatwa Q&A Evaluation Dataset},
+  author={SahmBenchmark},
+  year={2025},
+  publisher={Hugging Face}
+}
+```
+
+## Disclaimer
+
+This dataset is for academic and research purposes. Religious rulings should be sought from qualified Islamic scholars for practical application.