Explore and manage datasets for machine learning
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Browse TheBloke models' history
Build datasets and workflows using AI models
Create a domain-specific dataset project
Upload files to a Hugging Face repository
Organize and invoke AI models with Flow visualization
A collection of parsers for LLM benchmark datasets
Generate a Parquet file for dataset validation
Search and find similar datasets
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Explore datasets on a Nomic Atlas map
Perform OSINT analysis, fetch URL titles, fine-tune models
Testing Demo is a web-based application designed to assist users in exploring and managing datasets for machine learning tasks. It provides an intuitive interface to search, organize, and manipulate datasets, making it easier to prepare and optimize data for training models. With features tailored for dataset creation and management, Testing Demo is an essential tool for machine learning practitioners and data scientists.
What is the purpose of Testing Demo?
Testing Demo is designed to streamline dataset creation and management for machine learning workflows, enabling users to efficiently explore, organize, and collaborate on datasets.
Can I collaborate with team members in Testing Demo?
Yes, collaboration is a key feature. You can share datasets with team members and work together in real-time, ensuring seamless teamwork.
How does version control work in Testing Demo?
Testing Demo allows you to track changes and maintain different versions of datasets. This feature ensures that you can revert to previous versions if needed, providing a robust dataset management system.