Testing space for trying new setups
List of French datasets not referenced on the Hub
Upload files to a Hugging Face repository
Generate dataset for machine learning
Explore and edit JSON datasets
Create and validate structured metadata for datasets
Label data efficiently with ease
Upload files to a Hugging Face repository
Organize and invoke AI models with Flow visualization
Generate a Parquet file for dataset validation
Organize and process datasets using AI
Manage and label datasets for your projects
Launch and explore labeled datasets
Sandbox is a testing space designed for users to experiment with new setups in a controlled environment. It serves as a platform where you can try out different configurations and tools without impacting production systems. With a focus on dataset creation and annotation, Sandbox allows you to manage and annotate datasets efficiently, making it an ideal tool for data preparation and exploration.
• Collaborative Environment: Work with teams to test and refine setups.
• Version Control: Track changes and experiment without overwriting previous configurations.
• Secure Data Handling: Protect sensitive data while testing.
• Customizable Workflows: Tailor workflows to meet specific project needs.
• Real-Time Previews: Instantly see the results of your experiments.
What is the purpose of Sandbox?
Sandbox is designed as a testing environment where users can experiment with new setups and tools without affecting live systems. It’s ideal for dataset creation and annotation.
How do I get started with Sandbox?
To get started, log in, create a new project, and follow the setup wizard to define your experiment parameters.
Can I collaborate with others in Sandbox?
Yes, Sandbox supports collaboration. Invite team members to work together on projects and share feedback.