Argilla 2.4: Curate Hub Datasets with Human Feedback—No Code Needed

[nataliaElv]

Congratulations! You've made it this far! Once merged, the article will appear at https://huggingface.co/blog. Official articles
require additional reviews. Alternatively, you can write a community article following the process here.

Preparing the Article

You're not quite done yet, though. Please make sure to follow this process (as documented here):

• Add an entry to _blog.yml.
• Add a thumbnail. There are no requirements here, but there is a template if it's helpful.
• Check you use a short title and blog path.
• Upload any additional assets (such as images) to the Documentation Images repo. This is to reduce bloat in the GitHub base repo when cloning and pulling. Try to have small images to avoid a slow or expensive user experience.
• Add metadata (such as authors) to your md file. You can also specify guest or org for the authors.
• Ensure the publication date is correct.
• Preview the content. A quick way is to paste the markdown content in https://huggingface.co/new-blog. Do not click publish, this is just a way to do an early check.

Here is an example of a complete PR: #2382

Getting a Review

Please make sure to get a review from someone on your team or a co-author.
Once this is done and once all the steps above are completed, you should be able to merge.
There is no need for additional reviews if you and your co-authors are happy and meet all of the above.

Feel free to add @osanseviero or @pcuenca as reviewers if you want a final check. They'll be biased toward light reviews
(e.g., check for proper metadata) rather than content reviews unless explicitly asked.

[dvsrepo]

Suggested change

	- You have just published an open dataset and want the community to contribute: import it into a public Argilla Space and share the URL with the world!
	- If you are a dataset publisher and want the community to contribute, import it into a public Argilla Space and share the URL with the world!

[nataliaElv]

Don't you think "dataset publisher" sounds like a job title? I'm not sure how many people would feel represented by that.

[dvsrepo]

Suggested change

The dataset’s columns will be mapped to fields and questions in Argilla. Fields include the data that you want feedback on, like text, chats, or images. Questions are the feedback you want to collect, like labels, ratings, rankings, or text. If you need, you can add and configure questions or remove unnecessary fields. All of the changes that you make will be previewed in real time, so you can see how your changes affect the dataset.

The goal is to map dataset columns to fields and questions in Argilla. Fields include the data you want feedback on, like text, chats, or images. Questions are the feedback you wish to collect, like labels, ratings, rankings, or text. You can add and configure questions or remove unnecessary fields if needed. You can preview all changes in real time to get a clear idea of the Argilla dataset you’re configuring.

[nataliaElv]

Don't you think "dataset publisher" sounds like a job title? I'm not sure how many people would feel represented by that.

[nataliaElv]

Do you think this title matches well with the thumbnail @dvsrepo? I see a big semantic difference between "creating datasets" and "adding human feedback to datasets".