code-refactor / code-refactor/Librarian

Release MINICODE benchmark dataset on Hugging Face

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Descripción

Hi @zzigak 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to [hf.co/papers](https://hf.co/papers) to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

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 datasets you've released on https://huggingface.co/datasets?
I see you're using Google Drive for it. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

```python
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](https://huggingface.co/docs/hub/en/datasets-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](https://huggingface.co/docs/hub/en/model-cards#linking-a-paper)) so people can discover your work.

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

Kind regards,

Niels

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Línea de trabajo

No se identifica ningún archivo del repositorio, prueba ni punto de entrada; el issue es una solicitud externa para publicar el conjunto de datos de referencia MINICODE en Hugging Face. Primero confirma que los maintainers quieren continuar y localiza el conjunto de datos publicado en Google Drive. Se considerará terminado cuando el conjunto de datos esté alojado en Hugging Face y enlazado desde la página del paper.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
huggingface, python
Área
data, machine-learning
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Necesita aclaración
Aptitud para principiantes
10/100

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