Benchmarking Question/Answering Over CSV Data

This post discusses a deep dive into question-answering over tabular data using CSV files. The author presents an improved solution that uses OpenAI functions and two tools: a Python REPL and a retriever. They also share their dataset, evaluation script, and open-source app for gathering feedback on this task. The post highlights the challenges of evaluating language model applications and emphasizes the importance of proper data engineering to communicate data effectively to LLMs.