Data annotation for Sparky
Create a domain-specific dataset project
Upload files to a Hugging Face repository
Browse and view Hugging Face datasets from a collection
Create a domain-specific dataset seed
Validate JSONL format for fine-tuning
Upload files to a Hugging Face repository
Manage and label datasets for your projects
Organize and process datasets using AI
Organize and process datasets using AI
Browse and extract data from Hugging Face datasets
Explore and manage datasets for machine learning
Generate dataset for machine learning
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.