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Hugging Face Datasets

Official
huggingface·vlatest·ai-ml·Apache-2.0

Access a vast library of pre-built datasets for machine learning projects, accelerating development and experimentation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it huggingface-datasets, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add huggingface/skills --skill huggingface-datasets -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

huggingface

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 26 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as huggingface/skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

The hugging-face-datasets skill provides AI agents with direct access to the Hugging Face Datasets library, enabling them to load, iterate over, and manipulate large-scale datasets efficiently. It allows agents to fetch data from public repositories without requiring manual download steps or complex local file management.

When to use it

  • Loading pre-processed tabular data for immediate analysis or training pipelines.
  • Iterating through text corpora to perform custom preprocessing or augmentation tasks.
  • Accessing diverse benchmark datasets like GLUE, SQuAD, or ImageNet directly within the agent environment.
  • Quickly prototyping data loading strategies before committing to a production storage solution.

Key capabilities

  • Direct integration with the Hugging Face Datasets library for seamless data access.
  • Support for streaming large datasets without loading them entirely into memory.
  • Built-in handling of various data formats including CSV, JSON, and Parquet.
  • Efficient filtering and column selection during the data loading process.

Example prompts

  • "Load the GLUE dataset and display the first 10 rows of the 'mrpc' task."
  • "Iterate through a subset of the SQuAD dataset to count how many questions contain the word 'where'."
  • "Fetch the IMDB reviews dataset and filter for entries with a length greater than 50 characters."

Tips & gotchas

Ensure your AI agent environment has internet connectivity, as this skill relies on fetching data from remote Hugging Face repositories. Be mindful of dataset sizes; while streaming is supported, extremely large files may still require significant memory resources depending on how the data is accessed.