What AI says about UDA

UDA-Benchmark is a benchmark suite for Retrieval Augmented Generation (RAG) in real-world document analysis, where each dataset entry is a document-question-answer triplet. The documents are kept in their original formats (such as PDFs) and typically contain both textual and tabular data to reflect real-world complexity. The project provides a quick-start workflow (clone the repo, install dependencies) and a Jupyter notebook demonstrating how to use the UDA-QA dataset for document-analysis tasks.