Browse and view Hugging Face datasets from a collection
Access NLPre-PL dataset and pre-trained models
Organize and invoke AI models with Flow visualization
Launch and explore labeled datasets
Search and find similar datasets
Generate dataset for machine learning
Perform OSINT analysis, fetch URL titles, fine-tune models
Display trending datasets from Hugging Face
Browse a list of machine learning datasets
Build datasets using natural language
Create Reddit dataset
Create a large, deduplicated dataset for LLM pre-training
Review and rate queries
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.