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 huggingface in skills.
Decision snapshot
Is this a fit?
Data analysis, Research, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
28 days ago · Apache-2.0 license
No specific cautions were detected. Review the source and requested permissions before installing.
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 huggingface in skills. 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Research
- Data analysis use cases
- Research use cases
Declared skill metadata
- Source file: skills/huggingface-datasets/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use huggingface-datasets Skill
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/huggingface-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
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
