Browse and extract data from Hugging Face datasets
Perform OSINT analysis, fetch URL titles, fine-tune models
Upload files to a Hugging Face repository
Convert PDFs to a dataset and upload to Hugging Face
Explore and manage datasets for machine learning
Browse and search datasets
Organize and invoke AI models with Flow visualization
Convert and PR models to Safetensors
Manage and analyze datasets with AI tools
Annotation Tool
Create and validate structured metadata for datasets
Create a domain-specific dataset project
Create datasets with FAQs and SFT prompts
Dataset Viewer is a tool designed to help users browse and extract data from Hugging Face datasets. It provides an intuitive interface for exploring and managing datasets, making it easier to understand and work with the data. Whether you're a researcher, developer, or data enthusiast, Dataset Viewer streamlines the process of interacting with datasets.
• Interactive Data Browsing: Easily explore datasets with a user-friendly interface.
• Search and Filter: Quickly locate specific data points or subsets using robust search and filter options.
• Data Preview: Get a clear view of dataset structures and samples without downloading the entire dataset.
• Export Capabilities: Extract and download specific portions of the dataset for further analysis.
• Integration: Compatible with the Hugging Face ecosystem, allowing seamless integration with other tools and libraries.
How do I handle large datasets with Dataset Viewer?
For large datasets, use the search and filter features to narrow down the data. You can also preview samples to avoid downloading the entire dataset at once.
How often are datasets updated?
Datasets are updated by their authors. Dataset Viewer reflects the latest versions available on Hugging Face.
Can I use Dataset Viewer for datasets not hosted on Hugging Face?
No, Dataset Viewer is specifically designed for Hugging Face datasets. For other datasets, you may need to upload them to the Hugging Face hub first.