FastDatasets

by ZhuLinsen · Agent Tool · ★ 180

About FastDatasets

FastDatasets 🚀 一个强大的工具，用于为大语言模型（LLM）创建高质量的训练数据集 | Switch to English 🎯 在线体验 🚀 立即体验 FastDatasets，无需安装！ 上传你的文档，一键生成 Alpaca 格式训练数据集 - 完全免费，无需配置环境！ 主要功能 基于自由文档生成数据集 智能文档处理：支持多种格式文档的智能分割 问题生成：基于文档内容自动生成相关问题 答案生成：使用 LLM 生成高质量答案 异步处理：支持大规模文档的异步处理 多种导出格式：支持多种数据集格式导出（Alpaca、ShareGPT等） 直接SFT就绪输出：生成适用于监督微调的数据集 数据蒸馏与优化 知识蒸馏：从大模型中提取知识到训练数据集 指令扩增：自动生成指令变体，扩充训练数据 质量优化：使用 LLM 优化和提升数据质量 多格式支持：支持从多种格式的数据集进行蒸馏 快速开始 环境要求 Python 3.8+ 依赖包：见 安装

asynciodataset-generationdatasetsllmpython

Quick Facts

Stars180
Forks27
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score66.7791591557286/100
Last Updated2025-08-31
Created2025-04-25
Platformspython
Est. Tokens~198k

Compatible Skills

These tools work well together with FastDatasets for enhanced workflows:

  • mxcp — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • SimplerLLM — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • KiCAD-MCP-Server — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • Happycapy-skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • ai-microcore — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

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Frequently Asked Questions

What is FastDatasets?

FastDatasets is A powerful tool for creating high-quality training datasets for Large Language Models (LLMs)（一个快速生成高质量LLM微调训练数据集的工具）. It is categorized as a Agent Tool with 180 GitHub stars.

What programming language is FastDatasets written in?

FastDatasets is primarily written in Python. It covers topics such as asyncio, dataset-generation, datasets.

How do I install or use FastDatasets?

You can find installation instructions and usage details in the FastDatasets GitHub repository at github.com/ZhuLinsen/FastDatasets. The project has 180 stars and 27 forks, indicating an active community.

What license does FastDatasets use?

FastDatasets is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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