Browse and view Hugging Face datasets from a collection
Display instructional dataset
Display trending datasets and spaces
Browse and search datasets
Create and validate structured metadata for datasets
Annotation Tool
Build datasets using natural language
Organize and process datasets for AI models
Browse a list of machine learning datasets
Convert a model to Safetensors and open a PR
Create Reddit dataset
Convert and PR models to Safetensors
Upload files to a Hugging Face repository
The Function Calling Datasets Explorer is a tool designed to help users browse and view datasets from Hugging Face's collection. It provides an intuitive interface to explore datasets, making it easier to discover and work with datasets for various machine learning tasks.
• Dataset Browsing: Easily navigate through Hugging Face datasets. • Dataset Viewing: Preview dataset contents and metadata. • Search Functionality: Quickly find datasets by name or keywords. • Filtering Options: Narrow down datasets by specific criteria. • Metadata Display: View detailed information about each dataset.
What datasets are available in the explorer?
The explorer provides access to a wide range of datasets from the Hugging Face ecosystem, including public and community-contributed datasets.
Can I filter datasets by specific criteria?
Yes, the explorer offers filtering options to narrow down datasets based on tags, sizes, or other relevant criteria.
How do I view the contents of a dataset?
To view the contents of a dataset, simply click on the dataset name, and the explorer will display its contents and metadata.