Manage and label your datasets
Upload files to a Hugging Face repository
Generate synthetic datasets for AI training
Manage and label datasets for your projects
Explore and edit JSON datasets
Review and rate queries
Count tokens in datasets and plot distribution
Upload files to a Hugging Face repository
Upload files to a Hugging Face repository
Display translation benchmark results from NTREX dataset
Organize and invoke AI models with Flow visualization
Browse and view Hugging Face datasets
Manage and label data for machine learning projects
Test is a powerful tool designed for dataset creation and management. It helps users organize, label, and manage datasets efficiently, making it an essential solution for anyone working with AI and machine learning projects. Whether you're preparing data for training models or annotating datasets for specific tasks, Test provides a streamlined and intuitive experience.
• Dataset Organization: Easily organize and structure your datasets with custom categories and tags.
• Multi-Format Support: Handle various data formats, including images, text, and audio, all in one platform.
• Collaboration Tools: Invite team members to collaborate on dataset creation and labeling.
• Automated Labeling: Use AI-powered labeling tools to speed up the annotation process.
• Quality Control: Implement quality checks to ensure consistency and accuracy in your datasets.
• Integration: Seamlessly integrate with popular AI and machine learning pipelines.
What data formats does Test support?
Test supports a wide range of formats, including CSV, JSON, TIFF, PNG, WAV, and more, making it versatile for various datasets.
Can I collaborate with multiple users on a dataset?
Yes, Test offers collaboration features that allow multiple users to work on the same dataset simultaneously, with real-time updates and version control.
Where are my datasets stored?
Your datasets are stored locally on your device by default, but you can choose to upload them to cloud storage for backup and accessibility across devices.