Testing space for trying new setups
Support by Parquet, CSV, Jsonl, XLS
Access NLPre-PL dataset and pre-trained models
Manage and label data for machine learning projects
Transfer datasets from HuggingFace to ModelScope
Organize and process datasets for AI models
Save user inputs to datasets on Hugging Face
Rename models in dataset leaderboard
List of French datasets not referenced on the Hub
Browse TheBloke models' history
Upload files to a Hugging Face repository
Manage and annotate datasets
Display translation benchmark results from NTREX dataset
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.