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huggingface-datasets

Access Hugging Face Dataset Viewer API for metadata and filtered row extraction.

1|Updated Jul 12, 2026
Search Tags:#api#parquet#data-extraction#datasets#huggingface#machine-learning
One-click install
npx skills add https://github.com/Tyler-R-Kendrick/slm-training --skill huggingface-datasets-tyler-r-kendrick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-datasets
Source: https://github.com/Tyler-R-Kendrick/slm-training/tree/main/.agents/skills/huggingface-datasets
Command: npx skills add https://github.com/Tyler-R-Kendrick/slm-training --skill huggingface-datasets-tyler-r-kendrick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the friction of manually browsing or downloading large datasets by providing a direct interface to the Hugging Face Dataset Viewer API for programmatic data discovery and extraction.

Core Features & Use Cases

  • Dataset Exploration: Validate dataset availability, list splits, and preview row content without downloading entire files.
  • Data Extraction: Perform targeted searches, apply row-level filters, and retrieve specific parquet shards or metadata statistics.
  • Use Case: A researcher needs to extract specific training samples from a massive dataset; this skill allows them to paginate through rows and filter by predicate to isolate the exact data needed for their model.

Quick Start

Use the huggingface-datasets skill to preview the first one hundred rows of the train split from the stanfordnlp/imdb dataset.

Frequently Asked Questions about huggingface-datasets

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

FAQPage Schema
How do I extract specific rows from a Hugging Face dataset without downloading the whole parquet file?▼

To extract specific rows from a Hugging Face dataset without downloading the entire parquet file, use HTTP GET requests to the Dataset Viewer API to apply row-level filters and paginate through the exact training samples needed.

Can I preview Hugging Face dataset splits and metadata before running machine learning data extraction?▼

Yes, you can preview Hugging Face dataset splits and metadata before extraction by querying the datasets-server endpoint to validate dataset availability, list splits, and preview row content without downloading files.

Does the Hugging Face Dataset Viewer API support filtered data extraction by predicate?▼

The Hugging Face Dataset Viewer API supports filtered data extraction by allowing you to apply row-level filters and perform targeted searches using predicates to isolate specific data points across the Hub.

What is the best way to discover parquet shards across the Hugging Face Hub for read-only data analysis?▼

The best way to discover parquet shards across the Hugging Face Hub for read-only data analysis is through programmatic API access to the Dataset Viewer, which facilitates efficient metadata retrieval and shard discovery.

Are there limitations to extracting Hugging Face dataset data using HTTP GET requests?▼

A key limitation of extracting Hugging Face dataset data using HTTP GET requests is that it functions as a read-only interface, meaning it supports data discovery and pagination but cannot modify or write back to the original datasets.

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