Explore and manage datasets for machine learning
Display translation benchmark results from NTREX dataset
Manage and analyze labeled datasets
Manage and label data for machine learning projects
Build datasets using natural language
List of French datasets not referenced on the Hub
Upload files to a Hugging Face repository
Browse and view Hugging Face datasets
Organize and invoke AI models with Flow visualization
Train a model using custom data
Explore datasets on a Nomic Atlas map
Build datasets and workflows using AI models
Manage and label datasets for your projects
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.