Browse and view Hugging Face datasets from a collection
Create datasets with FAQs and SFT prompts
Evaluate evaluators in Grounded Question Answering
Organize and process datasets using AI
Manage and label datasets for your projects
Create and validate structured metadata for datasets
Display instructional dataset
Label data for machine learning models
Upload files to a Hugging Face repository
Download datasets from a URL
Organize and process datasets using AI
Create a report in BoAmps format
Explore datasets on a Nomic Atlas map
The Function Calling Datasets Explorer is a tool designed to help users browse and view Hugging Face datasets from a collection. It provides an intuitive interface to explore and interact with datasets, making it easier to discover and understand the data available on the Hugging Face platform.
• Dataset Browsing: Explore datasets from the Hugging Face ecosystem. • Dataset Details: View detailed information about each dataset, including descriptions, features, and usage statistics. • Filtering and Search: Quickly find datasets by using search and filtering options. • Code Snippets: Access ready-to-use code snippets for loading and using datasets. • Community Integration: Engage with the Hugging Face community by viewing discussions and contributions related to the datasets.
What datasets are available in the Function Calling Datasets Explorer?
The tool provides access to a wide range of datasets from the Hugging Face ecosystem, including popular and community-contributed datasets.
How do I cite a dataset I find in the Function Calling Datasets Explorer?
Please refer to the dataset's documentation or the Hugging Face platform for citation instructions, as each dataset may have specific citation requirements.
Can I request new features for the Function Calling Datasets Explorer?
Yes! You can submit feature requests or feedback through the Hugging Face support channels or community forums.