hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
Profile →npx skills add sickn33/agentic-awesome-skills --skill hugging-face-datasets --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Overview This skill provides tools to manage datasets on the Hugging Face Hub with a focus on creation, configuration, content management, and SQL-based data manipulation. It is designed to complement the existing Hugging Face MCP server by providing dataset editing and querying capabilities. ## When to Use - You need to create, configure, or update datasets on the Hugging Face Hub. - You want SQL-style querying, transformation, or export flows over Hub datasets. - You are managing dataset content and metadata directly rather than only searching existing datasets. ## Integration with HF MCP Server - **Use HF MCP Server for**: Dataset discovery, search, and metadata retrieval - **Use This Skill for**: Dataset creation, content editing, SQL queries, data transformation, and structured data formatting # Version 2.1.0 # Dependencies # This skill uses PEP 723 scripts with inline dependency management # Scripts auto-install requirements when run with: uv run scripts/script_name.py - uv (Python package manager) - Getting Started: See "Usage Instructions" below for PEP 723 usage # Core Capabilities ## 1. Dataset Lifecycle Management - **Initialize**: Create new dataset repositories with
- When to Use
- Integration with HF MCP Server
- 1. Dataset Lifecycle Management
- 2. SQL-Based Dataset Querying (NEW)
- 3. Multi-Format Dataset Support
- 4. Quality Assurance Features
- Prerequisites
- Quick Start
- SQL Query Syntax
- Common Operations
- 1. Explore Dataset Structure
- 2. Filter and Transform
- 3. Create Subsets and Push to Hub
- 4. Export to Local Files
Query a dataset uv run scripts/sql_manager.py query \ Get dataset schema uv run scripts/sql_manager.py describe --dataset "cais/mmlu" Sample random rows uv run scripts/sql_manager.py sample --dataset "cais/mmlu" --n 5 Count rows with filter uv run scripts/sql_manager.py count --dataset "cais/mmlu" --where "subject='nutrition'" Get schema Get unique values in column
What does the hugging-face-datasets skill do?
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill hugging-face-datasets --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.