Explore, annotate, and manage datasets
Create a domain-specific dataset seed
Create and validate structured metadata for datasets
Create a report in BoAmps format
List of French datasets not referenced on the Hub
Save user inputs to datasets on Hugging Face
Build datasets using natural language
Count tokens in datasets and plot distribution
Browse and view Hugging Face datasets
Browse a list of machine learning datasets
ReWrite datasets with a text instruction
Display trending datasets and spaces
Convert PDFs to a dataset and upload to Hugging Face
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.