Testing space for trying new setups
Explore and manage datasets for machine learning
Browse a list of machine learning datasets
Perform OSINT analysis, fetch URL titles, fine-tune models
Create datasets with FAQs and SFT prompts
Generate synthetic datasets for AI training
Speech Corpus Creation Tool
Generate dataset for machine learning
Build datasets using natural language
Data annotation for Sparky
Organize and process datasets efficiently
Rename models in dataset leaderboard
Find and view synthetic data pipelines on Hugging Face
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.