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woodfishhhh
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dataset

Discover and download public datasets from Kaggle, UCI, HuggingFace, and Tianchi.

32|1|Updated May 19, 2026
Search Tags:#data provenance#uci#huggingface#dataset discovery#kaggle#public data#math modeling
One-click install
npx skills add https://github.com/woodfishhhh/EZ_math_model --skill dataset
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dataset
Source: https://github.com/woodfishhhh/EZ_math_model/tree/main/skills/ez-math-model/tools/dataset
Command: npx skills add https://github.com/woodfishhhh/EZ_math_model --skill dataset

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of quickly locating and downloading suitable public datasets when a math modeling task requires you to search for external data or benchmark against historical datasets.

Core Features & Use Cases

  • Public dataset discovery across Kaggle, UCI, HuggingFace, and Tianchi when the problem explicitly asks for “find similar data” or “supplement external data”.
  • Safety guardrail to avoid using this tool when the user’s attachments already contain the needed data (prevents silently fabricating “official” results).
  • Standardized landing workflow that saves downloaded datasets into a consistent directory structure and records source/license metadata for auditability.
  • Failure diagnostics including Kaggle token guidance, license constraints reminders, large-file handling guidance, and network-restricted fallback instructions.

Quick Start

Tell the agent to find a public dataset matching the topic, download it, and save it under workdir/<task_id>/attachments/external with an accompanying SOURCES.md.

Frequently Asked Questions about dataset

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

FAQPage Schema
How do I find public datasets for math modeling tasks?▼

To find public datasets for math modeling, you can instruct the agent to search across Kaggle, UCI, HuggingFace, and Tianchi. The Skill downloads matching external data into a standardized attachments directory and records source provenance in SOURCES.md.

What is the best way to download external data from Kaggle or HuggingFace?▼

The best way to download external data from Kaggle or HuggingFace is to request the agent to find and save the dataset under a standardized external attachments path. The workflow ensures datasets are stored consistently and includes a SOURCES.md file for license and source tracking.

Can I use this tool if my attachments already contain the needed dataset?▼

You should not use this tool if your attachments already contain the needed dataset. A safety guardrail prevents dataset lookup when existing attachments have sufficient data, ensuring the agent avoids fabricating official results.

Why does Kaggle dataset download fail and how do I fix authentication?▼

Kaggle dataset downloads often fail due to missing authentication tokens. The Skill provides failure diagnostics that include Kaggle token guidance, license constraint reminders, large-file handling instructions, and network-restricted fallback steps to resolve these issues.

Does this dataset discovery tool document data provenance and license metadata?▼

Yes, this dataset discovery tool documents data provenance and license metadata. It automatically generates a SOURCES.md file alongside downloaded datasets in the external attachments directory, ensuring auditability for historical benchmarks.

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