Release CodeAssistBench dataset on Hugging Face

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Avaliação

Dificuldade
4/5
Tempo estimado
3-5 dias
Facilidade para iniciantes
35/100
Tipo de issue
Funcionalidade
Clareza
Razoavelmente clara
Status de atividade
Estagnada
Stack de tecnologia
huggingface, python
Domínio
data

Direção de pesquisa

Review how the CodeAssistBench dataset is currently distributed in this repository and read the Hugging Face Datasets loading guide linked in the issue. Done means the dataset is hosted on Hugging Face, can be loaded with the documented datasets interface, and is linked to the paper page.

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Descrição

Hi @amazon-science 🤗

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/2507.10646.
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 CodeAssistBench dataset you've released on https://huggingface.co/datasets?
I see you're using GitHub for distributing the CodeAssistBench benchmark and its dataset. Hosting 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/your-dataset")

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

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

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