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.
Frequently asked
- What is patil-suraj/question_generation?
- A project that fine-tunes transformer models like T5 for neural question generation from text passages.
- Is question_generation open source?
- Yes — patil-suraj/question_generation is open source, released under the MIT license.
- What language is question_generation written in?
- patil-suraj/question_generation is primarily written in Jupyter Notebook.
- How popular is question_generation?
- patil-suraj/question_generation has 1.1k stars on GitHub.
- Where can I find question_generation?
- patil-suraj/question_generation is on GitHub at https://github.com/patil-suraj/question_generation.