Testing space for trying new setups
Browse and extract data from Hugging Face datasets
Browse and view Hugging Face datasets
Build datasets using natural language
Search narrators and view network connections
Upload files to a Hugging Face repository
Organize and process datasets using AI
Create a domain-specific dataset project
Generate synthetic datasets for AI training
Manage and analyze datasets with AI tools
Convert a model to Safetensors and open a PR
Validate JSONL format for fine-tuning
A collection of parsers for LLM benchmark 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.