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huggingface-datasets Skill

AI Agent SkillJavaScriptOpen source

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. Published by openai in plugins.

What is huggingface-datasets Skill?

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
91/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use huggingface-datasets Skill

  • Use it for data analysis.
  • Use it for research.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/hugging-face/skills/datasets/SKILL.md

What it does

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

Skill instructions

Hugging Face Dataset Viewer Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. Core workflow 1. Optionally validate dataset availability with /is-valid. 2. Resolve config + split with /splits. 3. Preview with /first-rows. 4. Paginate content with /rows using offset and length (max 100). 5. Use /search for text matching and /filter for row predicates. 6. Retrieve parquet links via /parquet and totals/metadata via /size and /statistics. Defaults - Base URL: https://datasets-server.huggingface.co - Default API method: GET - Query params should be URL-encoded. - offset is 0-based. - length max is usually 100 for row-like endpoints. - Gated/private datasets require Authorization: Bearer <HFTOKEN. Dataset Viewer - Validate dataset: /is-valid?dataset=<namespace/repo - List subsets and splits: /splits?dataset=<namespace/repo - Preview first rows: /first-rows?dataset=<namespace/repo&config=<config&split=<split - Paginate rows: /rows?dataset=<nam

Explore related resources

Frequently asked questions

What is huggingface-datasets?

huggingface-datasets is a open-source AI agent skill with Copy skill directory. Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

Who is huggingface-datasets best for?

huggingface-datasets is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.

How do I install huggingface-datasets?

Install or run huggingface-datasets using Copy skill directory. Check huggingface-datasets for the latest setup command.

Is huggingface-datasets actively maintained?

huggingface-datasets may need a closer maintenance check before production use.

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Stars
4,556
Forks
668
Last commit
9 days ago
Repository age
5 months
License
Unknown

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huggingface-datasets: Install, Config & GitHub Signals – SkillIndex