arian-askari/ChatGPT-RetrievalQA-CIKM2023
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.
This project provides a unique dataset for anyone working on improving how search engines and question-answering systems retrieve information. It offers collections of questions paired with answers generated by ChatGPT and by human experts. The goal is to help evaluate if AI-generated text can be used effectively to train and test information retrieval models, providing a valuable resource for information retrieval researchers and developers.
142 stars. No commits in the last 6 months.
Use this if you are a researcher or developer focused on building or improving search and question-answering systems and want to evaluate using large language model outputs as training data.
Not ideal if you are looking for a ready-to-use search engine or a solution for generating human-like text directly.
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Jupyter Notebook
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Last pushed
Jan 15, 2024
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