# Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required

DevFeed: [Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required](<https://devfeed.tech/articles/argilla-2-4-easily-build-fine-tuning-and-evaluation-datasets-on-the-hub-no-code-required-7103.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/argilla-ui-hub>)

Author: Natalia Elvira; ben burtenshaw; Daniel Vila

Published: 2024-11-04T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [argilla](<https://devfeed.tech/topics/argilla.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [spaces](<https://devfeed.tech/topics/spaces.md>), [CSV](<https://devfeed.tech/topics/csv.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [argilla](<https://devfeed.tech/tags/argilla.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [data](<https://devfeed.tech/tags/data.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [github](<https://devfeed.tech/tags/github.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [space](<https://devfeed.tech/tags/space.md>), [spaces](<https://devfeed.tech/tags/spaces.md>)

## AI overview

Argilla 2.4 introduces a no-code workflow for importing public Hugging Face Hub datasets into Argilla Spaces. Users can collect human feedback, annotate or curate datasets, and prepare them for fine-tuning or model evaluation, with Hugging Face OAuth supporting community contributions or restricted collaboration.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.