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README.md
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- name: test
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num_bytes: 1519
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num_examples: 3
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download_size: 22586
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dataset_size: 5490
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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# Quantum Lean Hard VVUQ Dataset
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## Overview
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This dataset contains challenging Lean 4 verification and repair problems designed to test advanced reasoning capabilities and demonstrate the effectiveness of Physics World Models (PWMs) in formal verification.
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## Problem Categories
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- **Type Theory**: 3 problems (coercion, dependent types, universes)
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- **Tactic Sequences**: 3 problems (wrong tactics, incorrect ordering)
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- **Proof Strategies**: 3 problems (wrong high-level approaches)
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- **Advanced Type Theory**: 1 problems (higher-order reasoning)
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- **Baseline**: 1 problems (simple for comparison)
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## Difficulty Distribution
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- Easy: 1 problems
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- Hard: 4 problems
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- Expert: 6 problems
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## PWM Knowledge Levels
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- W1 (Basic): 1 problems
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- W2 (Intermediate): 3 problems
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- W3 (Advanced): 7 problems
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## Expected Performance
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- **Method A** (LLM only): Should struggle with hard/expert problems
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- **Method E** (LLM + W3): Should handle most problems successfully
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- **Clear gradient**: Performance should improve from A→B→C→D→E
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## Usage
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This dataset is designed for NeurIPS experiments demonstrating PWM effectiveness in formal verification tasks.
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## Requirements
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- Lean 4 with Mathlib
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- Enhanced diagnostics: `set_option diagnostics true`
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- Actual compilation verification (RequirementLEAN)
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