Menu

Individual skill

dataset-finder-guide

Search and download research datasets from Kaggle, HuggingFace, and repos

skills/tools/scraping/dataset-finder-guide/SKILL.md

Read pinned source

Source commit bf44b3cd617fa94c8a1b254c5d1987142ca3d631

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 5, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
310
Repository last updated
Jun 19, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Dataset Finder Guide

Search, evaluate, and download research datasets from major repositories including Kaggle, Hugging Face, Google Dataset Search, Zenodo, UCI Machine Learning Repository, and domain-specific archives. This skill helps researchers locate the right data for their experiments efficiently.

## Overview

Finding suitable datasets is often one of the most time-consuming phases of empirical research. Datasets are scattered across dozens of platforms, each with different APIs, licensing terms, download mechanisms, and metadata standards. A single research project might require datasets from Kaggle for benchmarking, Hugging Face for NLP tasks, Zenodo for supplementary materials from published papers, and government open data portals for demographic or economic variables.

This skill provides a unified approach to dataset discovery: formulating search queries, evaluating dataset quality and suitability, understanding licensing implications, and efficiently downloading and organizing data. It covers both general-purpose repositories and domain-specific archives that researchers in various fields need.

The emphasis is on reproducibility -- every dataset used in research should be citable, versioned, and documented. This skill includes patterns for recording dataset provenance, creating data cards, and managing dataset versions across experiments.

## Dataset Repositories