Data annotation for Sparky
Organize and process datasets efficiently
Display instructional dataset
Explore and manage datasets for machine learning
Upload files to a Hugging Face repository
Access NLPre-PL dataset and pre-trained models
Upload files to a Hugging Face repository
Create and validate structured metadata for datasets
List of French datasets not referenced on the Hub
Create a domain-specific dataset project
Create a domain-specific dataset seed
Upload files to a Hugging Face repository
Manage and orchestrate AI workflows and datasets
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.