Organize and label your data for machine learning
Explore datasets on a Nomic Atlas map
Manage and analyze datasets with AI tools
A collection of parsers for LLM benchmark datasets
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Create a domain-specific dataset project
Manage and analyze labeled datasets
Upload files to a Hugging Face repository
Convert a model to Safetensors and open a PR
Support by Parquet, CSV, Jsonl, XLS
Launch and explore labeled datasets
Search narrators and view network connections
Argilla Space is a specialized tool designed for organizing and labeling data to support machine learning workflows. It provides an efficient interface for managing datasets, enabling users to streamline the data preparation process critical for training accurate models.
What types of data does Argilla Space support?
Argilla Space supports a wide range of data formats, including text, images, audio, and more, depending on your specific machine learning needs.
Can I collaborate with team members in real-time?
Yes, Argilla Space offers real-time collaboration features, allowing multiple users to work together on data labeling tasks efficiently.
How do I export labeled data from Argilla Space?
Exporting labeled data is straightforward via the platform's interface, with options to format data according to your target machine learning platform.