Data annotation for Sparky
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Train a model using custom data
Browse and view Hugging Face datasets from a collection
Browse and search datasets
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Convert and PR models to Safetensors
Explore and edit JSON datasets
Evaluate evaluators in Grounded Question Answering
Convert a model to Safetensors and open a PR
Speech Corpus Creation Tool
Curate and manage datasets for AI and machine learning
Explore and manage datasets 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.