Data annotation for Sparky
List of French datasets not referenced on the Hub
Access NLPre-PL dataset and pre-trained models
Browse and view Hugging Face datasets
Upload files to a Hugging Face repository
Evaluate evaluators in Grounded Question Answering
Manage and analyze datasets with AI tools
Create a domain-specific dataset project
Explore and edit JSON datasets
Organize and invoke AI models with Flow visualization
Display html
Browse and view Hugging Face datasets from a collection
SparkyArgilla is a specialized tool designed for data annotation and management in machine learning workflows. It is specifically tailored for use with Sparky, enabling users to organize, label, and analyze datasets efficiently. The platform is built to streamline the data preparation process, which is critical for training accurate machine learning models.
What systems are compatible with SparkyArgilla?
SparkyArgilla is compatible with Windows, macOS, and Linux systems.
Can I use SparkyArgilla without Sparky?
Yes, SparkyArgilla can be used as a standalone tool for data annotation, but it is optimized for use with Sparky for machine learning workflows.
How do I get support for SparkyArgilla?
Support is available through the official documentation, community forums, and priority support for enterprise users.