patil-suraj/question_generation
A project that fine-tunes transformer models like T5 for neural question generation from text passages.

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This repository provides open-source implementations for neural question generation using pre-trained seq2seq transformers. It supports multiple approaches including answer-aware QG, multitask QA-QG, and end-to-end answer-agnostic generation. The project offers fine-tuning scripts, evaluation pipelines, and pretrained checkpoints for the T5 model family applied to question generation.