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Dataset

Skill woodfishhhh/EZ_math_model/skills/ez-math-model/tools/dataset

专攻数学建模的下一代自动化SKIILS

Install
npx -y skills add woodfishhhh/EZ_math_model --skill dataset

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What its author says it does

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公开数据集发现入口。覆盖 Kaggle / UCI / HuggingFace / 天池。题目要求"自行 查找数据"或"补充外部数据"时启用;附件已含数据时**不调用**。

SKILL.md

2.1 KB, as published. Nobody here has run it

dataset — 公开数据集发现

何时使用

  • 题目附件没有数据集,但题面要求"查找类似公开数据"。
  • 需要历史基准数据集(如 MNIST / Iris / 波士顿房价)做模型对比。
  • 不要在已有附件数据时启用本子 skill。

入口

数据源入口配置
Kagglekaggle datasets list -s <kw> / kaggle datasets download -d <user/name>~/.kaggle/kaggle.json(注册免费下载)
UCI ML直接 HTTPS pd.read_csv(url)
HuggingFacefrom datasets import load_datasetEZMM_HF_TOKEN(私有数据集)
天池浏览器 + 手动下载

命令模板

# Kaggle 搜索 + 下载
kaggle datasets list -s "vegetable retail price"
kaggle datasets download -d <user/dataset-name> -p workdir/.../attachments/external/kaggle --unzip

# HuggingFace
python -c "from datasets import load_dataset; ds = load_dataset('squad', split='train[:1%]')"

# UCI(直接 URL)
python -c "import pandas as pd; df = pd.read_csv('https://archive.ics.uci.edu/...'); df.to_csv('workdir/.../attachments/external/uci/iris.csv', index=False)"

落盘规范

外部下载的数据放在:

workdir/{task_id}/attachments/external/<source>/<dataset>/

并在同目录写 SOURCES.md

- 数据集名: <name>
- 来源: <kaggle url>
- License: <CC0 / CC-BY / Apache-2.0 / 其他>
- 下载时间: <ISO timestamp>
- 用途说明: <一句话>

失败诊断

情况处理
Kaggle token 未配置提示用户 ~/.kaggle/kaggle.json 配置
License 不允许商用数据可用于学术建模报告;论文中标明出处 + license
文件 > 1GBcoder 阶段用 chunksize 处理(参考 prompts/coder.md
网络受限写诊断;建议用户手动下载放入 attachments/

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