hugging-face-dataset-viewer

Access Hugging Face Dataset Viewer API for read-only dataset exploration.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill hugging-face-dataset-viewer-himanshu040604
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hugging-face-dataset-viewer
Source: https://github.com/Himanshu040604/codex-skills-setup/tree/main/assets/codex/skills/claude-import/skills/plugins/huggingface-skills%40claude-plugins-official/skills/hugging-face-dataset-viewer
Command: npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill hugging-face-dataset-viewer-himanshu040604

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the exploration and extraction of data from Hugging Face datasets, eliminating the need for manual data wrangling and complex API interactions.

Core Features & Use Cases

  • Dataset Validation: Quickly check if a dataset exists and is accessible.
  • Metadata Retrieval: Fetch information about dataset splits, configurations, and file structures.
  • Data Preview & Pagination: View the first rows of a dataset or paginate through large datasets efficiently.
  • Search & Filtering: Search for specific text within datasets or apply custom filters to rows.
  • Data Export: Download parquet URLs for further analysis or SQL querying.
  • Use Case: Analyze the 'stanfordnlp/imdb' dataset by previewing its first 100 training rows, then searching for reviews containing the word "amazing".

Quick Start

Use the hugging-face-dataset-viewer skill to preview the first 100 rows of the 'stanfordnlp/imdb' dataset's training split.

Frequently Asked Questions about hugging-face-dataset-viewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I explore Hugging Face datasets without downloading the entire repository?

You can explore Hugging Face datasets remotely via the Dataset Viewer API to fetch metadata, paginate rows, and search text without downloading the entire repository. This provides read-only access to splits and configurations directly.

Can I search for specific text within a Hugging Face dataset split?

Yes, you can search for specific text within Hugging Face dataset splits using the API's search functionality. It allows you to query specific text strings and apply custom filters to rows directly during your data exploration process.

How do I get parquet URLs for exporting Hugging Face datasets?

To get parquet URLs for exporting Hugging Face datasets, use the API to retrieve file download links. These parquet URLs enable further data analysis or SQL querying by providing direct access to the structured data format.

Does the Hugging Face Dataset Viewer API support access to gated or private datasets?

Yes, the Hugging Face Dataset Viewer API supports gated or private datasets via an Authorization header. You must provide the appropriate authentication credentials to access and validate these restricted datasets programmatically.

What is the best way to preview the first 100 rows of a large dataset on Hugging Face?

The best way to preview the first 100 rows of a large dataset on Hugging Face is using the Dataset Viewer API's pagination feature. It efficiently retrieves specific row subsets from splits without loading the entire dataset.

How do I retrieve size and statistics for datasets hosted on Hugging Face?

You can retrieve size and statistics for datasets hosted on Hugging Face by making a metadata request to the Dataset Viewer API. This returns dataset configurations, file structures, and statistical information for analysis.