Argilla 2.4: Easily Build Fine-Tuning and Evaluation datasets on the Hub — No Code Required
•
39
Daniel Vila
dvilasuero
AI & ML interests
RLHF, RLAIF, DPO, data, data, data
Recent Activity
View all activity
Articles
Organizations
Posts
11
Post
1006
@Jesse-marqo
and the Marqo team are killing it on the Hub: top embedding models and datasets!
Here's how to start using their new evaluation dataset for curation and labelling:
1. Deploy Argilla on Spaces: https://huggingface.co/new-space?template=argilla%2Fargilla-template-space
2. Load Marqo/amazon-products-eval with the UI wizard.
3. Start curating!
Here's how to start using their new evaluation dataset for curation and labelling:
1. Deploy Argilla on Spaces: https://huggingface.co/new-space?template=argilla%2Fargilla-template-space
2. Load Marqo/amazon-products-eval with the UI wizard.
3. Start curating!
Post
649
Build datasets for AI on the Hugging Face Hub—10x easier than ever!
Today, I'm excited to share our biggest feature since we joined Hugging Face.
Here’s how it works:
1. Pick a dataset—upload your own or choose from 240K open datasets.
2. Paste the Hub dataset ID into Argilla and set up your labeling interface.
3. Share the URL with your team or the whole community!
And the best part? It’s:
- No code – no Python needed
- Integrated – all within the Hub
- Scalable – from solo labeling to 100s of contributors
I am incredibly proud of the team for shipping this after weeks of work and many quick iterations.
Let's make this sentence obsolete: "Everyone wants to do the model work, not the data work."
Read, share, and like the HF blog post:
https://huggingface.co/blog/argilla-ui-hub
Today, I'm excited to share our biggest feature since we joined Hugging Face.
Here’s how it works:
1. Pick a dataset—upload your own or choose from 240K open datasets.
2. Paste the Hub dataset ID into Argilla and set up your labeling interface.
3. Share the URL with your team or the whole community!
And the best part? It’s:
- No code – no Python needed
- Integrated – all within the Hub
- Scalable – from solo labeling to 100s of contributors
I am incredibly proud of the team for shipping this after weeks of work and many quick iterations.
Let's make this sentence obsolete: "Everyone wants to do the model work, not the data work."
Read, share, and like the HF blog post:
https://huggingface.co/blog/argilla-ui-hub
Papers
1
spaces
40
models
33
dvilasuero/DistilabelOpenHermes-2.5-mistral-7b-mix2
Text Generation
•
Updated
•
4
dvilasuero/Distilabel-OpenHermes-2.5-Mistral-7B-v2
Text Generation
•
Updated
•
1
dvilasuero/Capystral-Mistral-7B-Instruct
Text Generation
•
Updated
•
3
dvilasuero/CapMistral-7B-Instruct-1epoch
Text Generation
•
Updated
•
2
dvilasuero/CapMistral-7B-Instruct
Text Generation
•
Updated
•
2
dvilasuero/Distilabel-Nous-Capybara-7B-V1.9
Text Generation
•
Updated
•
18
dvilasuero/DistilabeledHermes-2.5-Mistral-7B
Text Generation
•
Updated
•
3
dvilasuero/phi2-lora-quantized-distilabel-intel-orca-dpo-pairs
Updated
•
1
dvilasuero/DistilabelBeagle14-7B
Text Generation
•
Updated
•
5
•
2
dvilasuero/distilabeled-Magicoder-S-DS-6.7B
Text Generation
•
Updated
•
3
datasets
202
dvilasuero/openai_records
Preview
•
Updated
•
7
dvilasuero/code_contests_qwen_coder
Viewer
•
Updated
•
1
•
26
dvilasuero/img_prefs_style_full
Viewer
•
Updated
•
1
•
27
dvilasuero/img_prefs_style
Viewer
•
Updated
•
5
•
50
dvilasuero/stylish_image_preferences_v3
Viewer
•
Updated
•
3
•
73
dvilasuero/stylish_image_preferences_v2
Viewer
•
Updated
•
2
•
29
dvilasuero/stylish_image_preferences
Viewer
•
Updated
•
7
•
27
dvilasuero/imgeval
Viewer
•
Updated
•
7
•
31
dvilasuero/optional-field
Viewer
•
Updated
•
3
•
44
dvilasuero/sentiment-csv
Viewer
•
Updated
•
103
•
16