karthik19967829/InferDoc
Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://github.com/facebookresearch/UnsupervisedQA and https://github.com/deepset-ai/haystack
This project helps data scientists and machine learning engineers create robust question-answering systems. It takes raw text documents and automatically generates question-answer pairs, then uses these to train a specialized AI model. The output is a model that can answer specific questions based on the content of your documents.
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Use this if you need to build a question-answering system but lack a large, labeled dataset of questions and answers for training your model.
Not ideal if you already have a high-quality, human-curated dataset of question-answer pairs for your specific domain.
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Language
Python
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Last pushed
Aug 17, 2025
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