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dataset-finder

Search, download, and manage datasets from Kaggle, Hugging Face, UCI ML, and Data.gov.

Updated Mar 1, 2026
Search Tags:#data management#data acquisition#datasets#kaggle#data mining#hugging face
One-click install
npx skills add https://github.com/zangxin75/openclaw-skills --skill dataset-finder-zangxin75
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dataset-finder
Source: https://github.com/zangxin75/openclaw-skills/tree/main/dataset-finder
Command: npx skills add https://github.com/zangxin75/openclaw-skills --skill dataset-finder-zangxin75

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires kaggle, datasets, pandas, huggingface-hub, requests, beautifulsoup4, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of finding, downloading, and managing datasets from various online repositories, saving users significant time and effort in data acquisition for their projects.

Core Features & Use Cases

  • Multi-Repository Search: Search across Kaggle, Hugging Face, UCI ML, and Data.gov.
  • Dataset Download: Download datasets in various formats.
  • Preview & Document: Preview dataset statistics and generate data cards.
  • Use Case: A data scientist needs to find a suitable dataset for a new machine learning project. They can use this Skill to search Kaggle for "housing prices," preview the top results, download a promising dataset, and generate a data card for documentation.

Quick Start

Use the dataset-finder skill to search Kaggle for datasets related to "customer churn".

Frequently Asked Questions about dataset-finder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for datasets across multiple repositories like Kaggle and Hugging Face?▼

This Skill enables multi-repository dataset search across Kaggle, Hugging Face, UCI ML, and Data.gov, allowing you to query and preview dataset statistics from all these sources in one place.

Can I download datasets in formats like CSV, JSON, and Parquet?▼

Yes, you can download datasets in formats like CSV, JSON, and Parquet. The dataset download feature handles these file types natively using the pandas library.

Do I need to install Python libraries like kaggle and huggingface-hub to use this dataset finder?▼

Yes, you need Python libraries including pandas, kaggle, huggingface-hub, requests, and beautifulsoup4 installed in your environment to execute dataset searches, downloads, and previews.

What is a data card and how do I generate one for a downloaded dataset?▼

A data card documents dataset statistics and metadata. You can generate a data card automatically for a downloaded dataset using this Skill's preview and document feature.

What is the best way to preview dataset statistics before downloading a large file?▼

The best way to preview dataset statistics is to use the preview feature to inspect dataset details and statistics directly from the repository before committing to a full download.

Does this tool handle data acquisition from Data.gov and UCI ML Repository?▼

Yes, this tool handles data acquisition from Data.gov and UCI ML Repository, alongside Kaggle and Hugging Face, streamlining the search and download process for machine learning projects.

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