apausa/extractiveQA

Fine-tuning RoBERTa for extractive question-answering using the Stanford Question Answering Dataset (SQuAD) and preprocessing with sliding windows, achieving 85.71% Exact Match and 92.18% F1 score.

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No License No Package No Dependents
Maintenance 6 / 25
Adoption 1 / 25
Maturity 7 / 25
Community 0 / 25

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extractive-question-answering

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Dec 12, 2025

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Extractive Question Answering · 64 tools

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