FastDatasets

by ZhuLinsen · Agent Tool · ★ 180

About FastDatasets

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）

asynciodataset-generationdatasetsllmpython

Quick Facts

Stars180
Forks27
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score41.75/100
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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