Datasets:

foundry-ai
/

leanbench

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

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