Argilla 2.4: Easily Build Fine-Tuning and Evaluation datasets on the Hub — No Code Required
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Daniel Vila
dvilasuero
AI & ML interests
RLHF, RLAIF, DPO, data, data, data
Articles
Organizations
Posts
10
Post
483
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
Post
949
Big news! You can now build strong ML models without days of human labelling
You simply:
- Define your dataset, including annotation guidelines, labels and fields
- Optionally label some records manually.
- Use an LLM to auto label your data with a human (you? your team?) in the loop!
Get started with this blog post:
https://huggingface.co/blog/sdiazlor/custom-text-classifier-ai-human-feedback
You simply:
- Define your dataset, including annotation guidelines, labels and fields
- Optionally label some records manually.
- Use an LLM to auto label your data with a human (you? your team?) in the loop!
Get started with this blog post:
https://huggingface.co/blog/sdiazlor/custom-text-classifier-ai-human-feedback
Papers
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dvilasuero/DistilabelOpenHermes-2.5-mistral-7b-mix2
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dvilasuero/Distilabel-OpenHermes-2.5-Mistral-7B-v2
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dvilasuero/Capystral-Mistral-7B-Instruct
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dvilasuero/CapMistral-7B-Instruct-1epoch
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dvilasuero/CapMistral-7B-Instruct
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dvilasuero/Distilabel-Nous-Capybara-7B-V1.9
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dvilasuero/DistilabeledHermes-2.5-Mistral-7B
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dvilasuero/phi2-lora-quantized-distilabel-intel-orca-dpo-pairs
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dvilasuero/DistilabelBeagle14-7B
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dvilasuero/distilabeled-Magicoder-S-DS-6.7B
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dvilasuero/optional-field
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dvilasuero/sentiment-csv
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_mmlu-pro_20241017_101055
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_base_mmlu-pro_20241017_092354
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_083212
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_mmlu-pro_20241017_082906
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dvilasuero/meta-llama_Llama-3.1-70B-Instruct_base_mmlu-pro_20241017_082202
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