Explore and manage datasets for machine learning
Manage and annotate datasets
Browse and view Hugging Face datasets from a collection
Create a domain-specific dataset seed
A collection of parsers for LLM benchmark datasets
Create a domain-specific dataset project
Review and rate queries
Convert a model to Safetensors and open a PR
Organize and process datasets efficiently
Upload files to a Hugging Face repository
Create a large, deduplicated dataset for LLM pre-training
Manage and analyze datasets with AI tools
Browse TheBloke models' history
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.