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README.md

@@ -1,3 +1,30 @@
+---
+license: mit
+task_categories:
+- text-generation
+- text2text-generation
+language:
+- en
+tags:
+- lean
+- formal-verification
+- mathematics
+- physics
+- theorem-proving
+- code-repair
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.jsonl
+  - split: validation
+    path: validation.jsonl
+  - split: test
+    path: test.jsonl
+---
+
 # Quantum Lean Hard VVUQ Dataset
 
 ## Overview
@@ -25,10 +52,52 @@ This dataset contains challenging Lean 4 verification and repair problems design
 - **Method E** (LLM + W3): Should handle most problems successfully
 - **Clear gradient**: Performance should improve from A→B→C→D→E
 
+## Dataset Structure
+
+Each example contains:
+- `id`: Unique problem identifier
+- `category`: Problem category (type_theory, tactic_sequence, proof_strategy, etc.)
+- `difficulty`: Difficulty level (easy, hard, expert)
+- `corrupted_code`: Lean code with intentional errors
+- `repair_target`: Correct version of the code
+- `error_info`: Detailed error information
+- `domain_knowledge_required`: List of concepts needed to solve
+- `pwm_level`: Required Physics World Model knowledge level
+
 ## Usage
 This dataset is designed for NeurIPS experiments demonstrating PWM effectiveness in formal verification tasks.
 
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("englund/quantum-lean-hard-vvuq-dataset")
+
+# Access train split
+train_data = dataset["train"]
+
+# Example usage
+for example in train_data:
+    print(f"Problem: {example['id']}")
+    print(f"Corrupted: {example['corrupted_code']}")
+    print(f"Target: {example['repair_target']}")
+    print(f"Difficulty: {example['difficulty']}")
+```
+
 ## Requirements
 - Lean 4 with Mathlib
 - Enhanced diagnostics: `set_option diagnostics true`
 - Actual compilation verification (RequirementLEAN)
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{englund2025quantum,
+  title={Quantum Lean Hard VVUQ Dataset},
+  author={Englund, Dirk},
+  year={2025},
+  url={https://huggingface.co/datasets/englund/quantum-lean-hard-vvuq-dataset}
+}
+```