dataset-viewer

WHAT IT CONNECTS

dataset-viewer 为 AI Agent 提供什么

• Uses `dataset://` URI scheme for accessing Hugging Face datasets
• Supports dataset configurations and splits
• Provides paginated access to dataset contents
• Handles authentication for private datasets
• Supports searching and filtering dataset contents
• Provides dataset statistics and analysis
• **validate**
• Check if a dataset exists and is accessible
• Parameters:
• `dataset`: Dataset identifier (e.g. 'stanfordnlp/imdb')
• `auth_token` (optional): For private datasets
• **get_info**
• Get detailed information about a dataset
• Parameters:
• `dataset`: Dataset identifier
• `auth_token` (optional): For private datasets
• **get_rows**
• Get paginated contents of a dataset
• Parameters:
• `dataset`: Dataset identifier
• `config`: Configuration name
• `split`: Split name
• `page` (optional): Page number (0-based)
• `auth_token` (optional): For private datasets
• **get_first_rows**
• Get first rows from a dataset split
• Parameters:
• `dataset`: Dataset identifier
• `config`: Configuration name
• `split`: Split name
• `auth_token` (optional): For private datasets
• **get_statistics**
• Get statistics about a dataset split
• Parameters:
• `dataset`: Dataset identifier
• `config`: Configuration name
• `split`: Split name
• `auth_token` (optional): For private datasets
• **search_dataset**
• Search for text within a dataset
• Parameters:
• `dataset`: Dataset identifier
• `config`: Configuration name
• `split`: Split name
• `query`: Text to search for
• `auth_token` (optional): For private datasets
• **filter**
• Filter rows using SQL-like conditions
• Parameters:
• `dataset`: Dataset identifier
• `config`: Configuration name
• `split`: Split name
• `where`: SQL WHERE clause (e.g. "score > 0.5")
• `orderby` (optional): SQL ORDER BY clause
• `page` (optional): Page number (0-based)
• `auth_token` (optional): For private datasets
• **get_parquet**
• Download entire dataset in Parquet format
• Parameters:
• `dataset`: Dataset identifier
• `auth_token` (optional): For private datasets
• Python 3.12 or higher
• [uv](https://github.com/astral-sh/uv) - Fast Python package installer and resolver
• Clone the repository:
• Create a virtual environment and install:
• `HUGGINGFACE_TOKEN`: Your Hugging Face API token for accessing private datasets