antoninichiq/QADatasetBuilder
Efficiently Transform PDFs and Wikipedia Pages into a Questions & Answers Dataset for Fine-Tuning.
This tool helps you quickly turn long, complex documents like PDFs or Wikipedia articles into structured question-and-answer pairs. It takes your raw text (from files or URLs) and outputs a neatly organized dataset of questions and answers. It's designed for anyone in data science or AI who needs to create specific Q&A datasets to train AI models.
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Use this if you need to build custom question-answering datasets from existing documents to fine-tune a language model for a specific task or knowledge domain.
Not ideal if you're looking for a ready-to-use Q&A system for general knowledge or if you don't have a specific AI model training goal in mind.
Stars
9
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Language
Python
License
MIT
Category
Last pushed
Mar 08, 2024
Commits (30d)
0
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