Release The Rosario Dataset v2 on Hugging Face
- Dominant language
- Python
- Stars
- 47
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
Hi @soncininicolas 🤗
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 a custom server URL for it (`http://fs01.cifasis-conicet.gov.ar:90/~robot_desmalezador/rosariov2/`). 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
Contributor guide
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Research direction
The issue names no repository files, tests, or entry points. First clarify whether the maintainers want to host Rosario Dataset v2 on Hugging Face and confirm dataset ownership and release requirements; then review the linked Hugging Face dataset-loading and dataset-viewer guidance. Done would mean the dataset is hosted and linked to its paper page.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100