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yanochka11
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huggingface-datasets

Query Hugging Face dataset metadata, rows, statistics, and parquet resources.

Updated May 5, 2026
Search Tags:#api#machine learning#data exploration#datasets#huggingface#dataset viewer
One-click install
npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-datasets-yanochka11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-datasets
Source: https://github.com/yanochka11/harness_bro/tree/main/.claude/skills/ported/huggingface-datasets
Command: npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-datasets-yanochka11

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the discovery, inspection, and management of Hugging Face datasets by providing a structured workflow for querying dataset metadata and content without manual API exploration.

Core Features & Use Cases

  • Dataset Exploration: Validate datasets, resolve configurations and splits, preview rows, paginate records, and inspect statistics through the Dataset Viewer API.
  • Dataset Operations: Search, filter, retrieve parquet shard information, and support dataset upload workflows for machine learning data pipelines.
  • Use Case: A machine learning engineer can use this Skill to inspect a large Hugging Face dataset, find relevant samples, check metadata, and prepare data for model training.

Quick Start

Use the huggingface-datasets skill to inspect the available splits and preview rows from my Hugging Face dataset.

Frequently Asked Questions about huggingface-datasets

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

FAQPage Schema
How do I preview rows and inspect metadata from a Hugging Face dataset?▼

You can preview Hugging Face dataset rows and metadata by querying the Dataset Viewer API to resolve configurations, splits, and paginate records. This provides structured access to dataset statistics and content for validation.

Can I search and filter Hugging Face datasets for machine learning workflows?▼

Yes, you can search and filter Hugging Face datasets for machine learning workflows via the Dataset Viewer API. This enables dataset discovery, validation, and retrieval of parquet shard information for data pipelines.

What's the best way to discover parquet shards in a Hugging Face dataset?▼

The best way to discover parquet shards in a Hugging Face dataset is by retrieving parquet shard information via the Dataset Viewer API. This allows you to inspect downloadable resources and prepare data for model training pipelines.

Does the Hugging Face Dataset Viewer API support read-only data analysis?▼

Yes, the Hugging Face Dataset Viewer API supports read-only data analysis for dataset exploration. You can inspect statistics, validate datasets, and preview rows without modifying the original data.

How do I resolve configurations and splits when exploring a Hugging Face dataset?▼

To resolve configurations and splits when exploring a Hugging Face dataset, query the Dataset Viewer API to validate the dataset structure. This allows you to inspect available splits and configurations before previewing rows.

Can I prepare Hugging Face dataset uploads through the Dataset Viewer API?▼

Yes, you can support dataset upload workflows for machine learning data pipelines via the Dataset Viewer API. This includes dataset discovery, validation, and filtering to prepare data for upload.

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