Testing space for trying new setups
Create datasets with FAQs and SFT prompts
Display instructional dataset
Curate and manage datasets for AI and machine learning
Count tokens in datasets and plot distribution
Label data efficiently with ease
Organize and invoke AI models with Flow visualization
Create a report in BoAmps format
Search and find similar datasets
Upload files to a Hugging Face repository
Manage and label datasets for your projects
Explore datasets on a Nomic Atlas map
Browse and extract data from Hugging Face datasets
Sandbox is a testing space designed for trying new setups and managing datasets efficiently. It serves as an experimental environment where users can explore different configurations and annotate datasets without affecting production systems.
• Dataset Management: Easily organize and manage your datasets within the Sandbox environment.
• Annotation Tools: Utilize built-in tools to annotate datasets efficiently for training AI models.
• Experimentation: Test new configurations and setups in a safe, isolated space.
• Collaboration: Share and work on datasets with team members in real-time.
• Version Control: Track changes and maintain different versions of your datasets.
What is the purpose of Sandbox?
Sandbox is designed to provide a safe environment for testing new setups and annotating datasets without impacting production systems.
Can I collaborate with others in Sandbox?
Yes, Sandbox supports real-time collaboration, allowing multiple users to work on datasets together.
How do I export my dataset from Sandbox?
To export your dataset, go to the "File" menu, select "Export," and choose your preferred format.