Dataset Viewer MCP Server

what is Dataset Viewer?

Dataset Viewer is an MCP server designed for interacting with the Hugging Face Dataset Viewer API, enabling users to browse, filter, and analyze datasets hosted on the Hugging Face Hub.

how to use Dataset Viewer?

To use Dataset Viewer, clone the repository from GitHub, set up a virtual environment, and run the server. You can then interact with the API to validate datasets, retrieve information, and perform searches.

key features of Dataset Viewer?

• Access datasets using the dataset:// URI scheme.
• Support for dataset configurations and splits.
• Paginated access to dataset contents.
• Authentication handling for private datasets.
• Search and filter capabilities for dataset contents.
• Dataset statistics and analysis tools.

use cases of Dataset Viewer?

1. Validating the existence and accessibility of datasets.
2. Retrieving detailed information about specific datasets.
3. Searching for specific text within datasets.
4. Filtering dataset rows based on SQL-like conditions.
5. Downloading entire datasets in Parquet format.

FAQ from Dataset Viewer?

• What is the purpose of the Dataset Viewer?

The Dataset Viewer allows users to easily interact with datasets on the Hugging Face Hub, providing tools for browsing, filtering, and analyzing data.

• Is there a cost to use the Dataset Viewer?

No, the Dataset Viewer is free to use.

• What are the prerequisites for using the Dataset Viewer?

You need Python 3.12 or higher and the uv package for installation.