Browse and view Hugging Face datasets from a collection
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Evaluate evaluators in Grounded Question Answering
Organize and process datasets using AI
Access NLPre-PL dataset and pre-trained models
Create a domain-specific dataset project
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Create datasets with FAQs and SFT prompts
Convert PDFs to a dataset and upload to Hugging Face
Explore, annotate, and manage datasets
Build datasets using natural language
Upload files to a Hugging Face repository
Browse TheBloke models' history
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.