Dataset_Generator_for_Fine-tuning

by MonkWarrior08 · Agent Tool · ★ 39

About Dataset_Generator_for_Fine-tuning

A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.

ai-toolsdataset-generationfine-tuningfinetuning-llmsllm-trainingllmsstreamlittraining-dataset

Quick Facts

Stars39
Forks3
LanguagePython
CategoryAgent Tool
Quality Score40.25/100
Last Updated2025-07-05
Created2025-07-05
Platformsclaude-code, gemini, python
Est. Tokens~4k

Compatible Skills

These tools work well together with Dataset_Generator_for_Fine-tuning for enhanced workflows:

  • multimind-sdk — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • MetaClaw — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • Kiln — semantic(0.34)+complementary+rare_topics+same_lang+shared_platform (56%)

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Frequently Asked Questions

What is Dataset_Generator_for_Fine-tuning?

Dataset_Generator_for_Fine-tuning is A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.. It is categorized as a Agent Tool with 39 GitHub stars.

What programming language is Dataset_Generator_for_Fine-tuning written in?

Dataset_Generator_for_Fine-tuning is primarily written in Python. It covers topics such as ai-tools, dataset-generation, fine-tuning.

How do I install or use Dataset_Generator_for_Fine-tuning?

You can find installation instructions and usage details in the Dataset_Generator_for_Fine-tuning GitHub repository at github.com/MonkWarrior08/Dataset_Generator_for_Fine-tuning. The project has 39 stars and 3 forks, indicating an active community.

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