Argilla

Active
GitHub Python Apache-2.0

Description

Argilla is a collaboration platform for AI engineers and domain experts to build high-quality datasets, collect human feedback, and evaluate models.

Key Features

  • Human feedback collection for NLP, LLM, and multimodal model training with programmatic workflows
  • Web-based annotation UI with filters, semantic search, and AI-assisted labeling suggestions
  • Hugging Face Spaces one-click deployment for instant team collaboration
  • Continuous evaluation and model improvement through data quality management
  • Full data ownership — no vendor lock-in, open-source Apache-2.0 licensed
  • Integration with Hugging Face Hub datasets and models for seamless ML pipelines

Use Cases

💡 Fine-tuning LLMs with human preference data for RAG and alignment tasks
💡 Building curated datasets for text classification, NER, and sentiment analysis
💡 AI-powered customer support with supervised classifier training
💡 Research studies requiring distributed data annotation across annotator teams
💡 Curating and cleaning open-source datasets like UltraFeedback for model training

Tags

evaluation data-processing llm python framework

Categories

📊 Observability

Quick Start

pip install argilla → Deploy on Hugging Face Spaces (free) → Initialize client with API URL and key → Define dataset settings (guidelines, fields) → Create dataset → Add records programmatically or via UI → Annotate and export for training
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