leetcode-python-dataset

Code for building and publishing the justindal/leetcode-python-dataset dataset on Hugging Face.

Merges two open-source LeetCode datasets into a unified schema with consistent formatting, field normalisation, and solution validation.

Dataset

Split	Rows	Source
train	5000	newfacade + greengerong
test	228	newfacade only

Schema

Column	Type	Description
task_id	string	Problem slug e.g. two-sum
difficulty	string	Easy, Medium, or Hard
tags	list[string]	Topic tags e.g. ["Array", "Hash Table"]
problem	string	Full problem description
starter_code	string	Function signature to complete
solution	string	Accepted Python solution
source	string	newfacade or greengerong

Sources

• newfacade/LeetCodeDataset (Apache 2.0)
• greengerong/leetcode (MIT)

Usage

uv:

git clone https://github.com/justindal/leetcode-python-dataset
cd leetcode-python-dataset
uv sync

Run the build:

uv run leetcode-dataset

# or
./.venv/bin/leetcode-dataset

pip:

git clone https://github.com/justindal/leetcode-python-dataset
cd leetcode-python-dataset
python -m venv .venv && source .venv/bin/activate
pip install -e .

Build the dataset locally:

leetcode-dataset

# or
python3 main.py

Citation

newfacade/LeetCodeDataset:

@misc{xia2025leetcodedatasettemporaldatasetrobust,
	title={LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs},
	author={Yunhui Xia and Wei Shen and Yan Wang and Jason Klein Liu and Huifeng Sun and Siyue Wu and Jian Hu and Xiaolong Xu},
	year={2025},
	eprint={2504.14655},
	archivePrefix={arXiv},
	primaryClass={cs.LG},
	url={https://arxiv.org/abs/2504.14655},
}

License

Apache 2.0