Testing space for trying new setups
ReWrite datasets with a text instruction
Access NLPre-PL dataset and pre-trained models
Browse and search datasets
Upload files to a Hugging Face repository
Create a domain-specific dataset seed
List of French datasets not referenced on the Hub
Browse a list of machine learning datasets
Create Reddit dataset
Rename models in dataset leaderboard
Count tokens in datasets and plot distribution
Explore and edit JSON 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.