hugging-face-datasets

Create, configure, and manage Hugging Face Hub datasets with SQL querying.

Updated Mar 8, 2026

Search Tags:#data management #sql #data transformation #datasets #hugging face #data creation

Ready to run

npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill hugging-face-datasets-brivaro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hugging-face-datasets
Source: https://github.com/brivaro/brivaro-ai-wizard/tree/main/skills/hugging-face-datasets
Command: npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill hugging-face-datasets-brivaro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires huggingface_hub, uv, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation, management, and querying of datasets on the Hugging Face Hub, enabling powerful data manipulation through SQL.

Core Features & Use Cases

Dataset Creation & Configuration: Initialize new datasets, define system prompts, and manage dataset structure.
SQL-Based Querying & Transformation: Query any Hugging Face dataset using SQL, perform complex transformations, and export results.
Multi-Format Support: Handles diverse dataset types including chat, classification, QA, and tabular data.
Use Case: You need to analyze a large dataset on Hugging Face, filter it based on specific criteria, aggregate some statistics, and then push a cleaned subset back to the Hub.

Quick Start

Use the hugging-face-datasets skill to query the 'cais/mmlu' dataset for rows where the subject is 'nutrition' and limit the results to 10.

Frequently Asked Questions about hugging-face-datasets

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

FAQPage Schema

How do I query Hugging Face datasets using SQL?▼

You can query Hugging Face datasets using SQL by leveraging this skill's advanced SQL-based querying capabilities to filter, transform, and aggregate data directly from the Hugging Face Hub, then export the results.

Can I manage Hugging Face Hub datasets and push cleaned subsets back?▼

Yes, you can initialize new datasets, define system prompts, manage dataset structure, and push cleaned or transformed subsets back to the Hugging Face Hub using integrated streaming updates.

What data formats does SQL-based Hugging Face dataset management support?▼

SQL-based Hugging Face dataset management supports diverse dataset types including chat, classification, QA, and tabular data formats for comprehensive data workflows.

How do I transform and filter a large Hugging Face dataset for specific criteria?▼

You can transform and filter large Hugging Face datasets by applying SQL queries to extract rows matching specific criteria, aggregate statistics, and export the cleaned subset.

Do I need huggingface_hub and uv to query datasets with SQL?▼

Yes, this SQL-based dataset querying and management workflow requires the huggingface_hub and uv dependencies to facilitate interactions with the Hugging Face Hub and environment setup.