Testing space for trying new setups
Validate JSONL format for fine-tuning
Create a domain-specific dataset seed
Access NLPre-PL dataset and pre-trained models
Review and rate queries
Build datasets using natural language
Manage and label data for machine learning projects
Generate synthetic datasets for AI training
Save user inputs to datasets on Hugging Face
Search and find similar datasets
Upload files to a Hugging Face repository
Count tokens in datasets and plot distribution
ReWrite datasets with a text instruction
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.