| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - lean4 |
| - theorem-proving |
| - code-generation |
| - benchmark |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-*.parquet |
| --- |
| |
| # LeanBench Dataset |
|
|
| A benchmark dataset for evaluating AI systems on Lean 4 theorem proving tasks. |
|
|
| ## Dataset Description |
|
|
| This dataset contains **482 tasks** extracted from real Lean 4 pull requests. |
|
|
| ## Files |
|
|
| - `leanbench_tasks.csv` - Full dataset in CSV format |
| - `data/train-00000-of-00001.parquet` - Dataset in Parquet format (for `datasets` library) |
|
|
| ## Task Format |
|
|
| Each row represents a single task with the following key fields: |
|
|
| | Field | Description | |
| |-------|-------------| |
| | `task_id` | Unique identifier (e.g., LB-0001) | |
| | `task_type` | Type of task (e.g., pr_completion) | |
| | `difficulty` | Difficulty level (easy/medium/hard) | |
| | `difficulty_score` | Numeric difficulty score | |
| | `repo` | Source GitHub repository | |
| | `pr_number` | Pull request number | |
| | `problem_statement` | Natural language description of the task | |
| | `golden_patch` | Expected solution (diff format) | |
| | `verification_command` | Command to verify the solution | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("foundry-ai/leanbench") |
| |
| # Access tasks |
| for task in dataset["train"]: |
| print(task["task_id"], task["difficulty"]) |
| ``` |
|
|
| ## Statistics |
|
|
| - Total tasks: 482 |
| - Easy: 330 |
| - Medium: 121 |
| - Hard: 31 |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
