Manage and label your datasets
Save user inputs to datasets on Hugging Face
Explore, annotate, and manage datasets
Convert and PR models to Safetensors
Create and manage AI datasets for training models
Support by Parquet, CSV, Jsonl, XLS
Access NLPre-PL dataset and pre-trained models
Label data efficiently with ease
Explore recent datasets from Hugging Face Hub
List of French datasets not referenced on the Hub
Find and view synthetic data pipelines on Hugging Face
Label data for machine learning models
Create and validate structured metadata for datasets
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.