Explore, annotate, and manage datasets
Search and find similar datasets
Generate synthetic datasets for AI training
Browse and view Hugging Face datasets
Validate JSONL format for fine-tuning
Create a report in BoAmps format
Organize and invoke AI models with Flow visualization
Manage and analyze datasets with AI tools
Browse and extract data from Hugging Face datasets
Search for Hugging Face Hub models
Label data for machine learning models
Label data efficiently with ease
Browse and view Hugging Face datasets from a collection
Argilla is a powerful tool designed for dataset creation. It allows users to explore, annotate, and manage datasets efficiently, making it an essential platform for building high-quality training data. It is particularly useful for data scientists and machine learning engineers who need to prepare datasets for model training.
• Interactive interface: Easy-to-use platform for annotation tasks.
• Support for multiple data types: Works with text, images, and other types of data.
• Configurable labeling: Define custom labeling tasks and rules.
• Active learning: Prioritize data points that most benefit your model.
• Collaboration tools: Share and work on datasets with teams.
• Integration: Seamlessly connect with popular machine learning tools and workflows.
• Version control: Track changes and maintain different versions of your dataset.
• Monitoring & reporting: Gain insights into annotation progress and data quality.
What data formats does Argilla support?
Argilla supports common formats like CSV, JSON, and text files for easy integration with machine learning workflows.
Can I use Argilla for team collaboration?
Yes, Argilla offers robust collaboration features, allowing teams to work together on annotation tasks and share datasets.
Does Argilla require any coding knowledge?
No, Argilla provides a user-friendly interface, making it accessible for users with varying levels of technical expertise.