{"url":"/dataset/codeqa","name":"CodeQA","full_name":null,"description_markdown":"CodeQA is a free-form question answering dataset for the purpose of source code comprehension: given a code snippet and a question, a textual answer is required to be generated. CodeQA contains a Java dataset with 119,778 question-answer pairs and a Python dataset with 70,085 question-answer pairs. \r\n\r\nDescription from: [CodeQA: A Question Answering Dataset for Source Code Comprehension](https://paperswithcode.com/paper/codeqa-a-question-answering-dataset-for)","description_withheld":null,"homepage":"https://github.com/jadecxliu/codeqa","introduced_date":"2021-09-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/codeqa-a-question-answering-dataset-for","title":"CodeQA: A Question Answering Dataset for Source Code Comprehension","first_author":"Chenxiao Liu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CodeQA"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}