Release PlayEval dataset on Hugging Face

Start with benchmark_metadata.json and clone_repos.sh to understand how PlayEval is assembled from other repositories. Read the linked Hugging Face dataset-loading and dataset-viewer guidance before choosing a loadable structure. Done means the dataset is uploaded to Hugging Face, can be loaded with load_dataset, and is linked to the paper page.

Hi @itaowei 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2604.19742.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

Would you like to host the PlayEval dataset you've released on https://huggingface.co/datasets?
I see your GitHub repository https://github.com/Tencent/PlayCoder defines this new benchmark, including benchmark_metadata.json and scripts like clone_repos.sh to assemble it from various other repositories. Hosting PlayEval on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/playeval")

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We can also help with structuring the dataset so it's easily loadable via load_dataset. Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.

Let me know if you're interested/need any guidance.

Kind regards,

Niels