QA Dataset for SaaS Editorial Content

This public repository contains the question-answering (QA) dataset we created for the research work that we submit for review at International Journal of Artificial Intelligence (IJ-AI). The research work is titled "From fixed-size to structure-aware: evaluating document chunking approaches for retrieval-augmented generation in SaaS editorial content", by LAVAREC and DU. The dataset contains 2,419 QA pairs in SaaS editorial content, suitable for evaluating large language models (LLMs).