Explore and manage datasets for machine learning
Create and validate structured metadata for datasets
Convert PDFs to a dataset and upload to Hugging Face
Build datasets using natural language
Search for Hugging Face Hub models
Browse a list of machine learning datasets
Display instructional dataset
Create and manage AI datasets for training models
Explore, annotate, and manage datasets
List of French datasets not referenced on the Hub
Browse and extract data from Hugging Face datasets
Upload files to a Hugging Face repository
Manage and label data for machine learning projects
Testing Demo is a powerful tool designed for exploring and managing datasets in machine learning workflows. It provides an intuitive interface to streamline dataset creation, visualization, and annotation, helping users prepare high-quality data for training AI models.
What file formats does Testing Demo support?
Testing Demo supports CSV, JSON, Excel, and Parquet formats, making it versatile for different data sources.
How do I annotate data in Testing Demo?
Annotation is straightforward—select the data points you want to label and use the built-in tools to add metadata or tags.
Is Testing Demo suitable for large datasets?
Yes, Testing Demo is optimized for scalability and can handle large datasets efficiently without compromising performance.