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genpark-synthetic-qa-pair-corpus-extractor-skill

mcp
Guvenlik Denetimi
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SUMMARY

Rule-based and heuristic question-answer pair generator extracting factual and definitional training tuples from raw text

README.md

genpark-synthetic-qa-pair-corpus-extractor-skill

An algorithmic heuristic QA mining engine parsing raw text into high-quality question-answering training pairs for agent knowledge distillation.

Architecture

flowchart TD
    Raw[Raw Text Corpus] --> Splitter[Sentence Boundary Splitter]
    Splitter --> DefMatcher[Definition Pattern Matcher]
    Splitter --> FactMatcher[Quantitative Fact Matcher]
    DefMatcher --> QAPairs[Synthesized QA Training Pairs]
    FactMatcher --> QAPairs

Features

  • Definitional QA Extraction: Captures concept definitions and entity descriptions.
  • Quantitative Extraction: Detects statistical, historical, and numerical assertions.
  • Pure Python: 100% Standard Library.

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