ComSum: Commit Messages Summarization and Meaning Preservation

Leshem Choshen, Idan Amit

Keywords: Data set, dataset, summarization, abstractive, commits, subjects, developers, programming, comsum, cumsum, ComSum, natural language processing, data set

TL;DR: A commit dataset for summarization

Abstract:

We present ComSum, a data set of 7 million commit messages for text summarization. When documenting commits, software code changes, both a message and its summary are posted. We gather and filter those to curate developers' work summarization data set.
Along with its growing size, practicality and challenging language domain, the data set benefits from the living field of empirical software engineering.
As commits follow a typology, we propose to not only evaluate outputs by Rouge, but by their meaning preservation.

URL: https://figshare.com/s/f338e93369138de0dea5

Community Implementations: [ 1 code implementation](https://www.catalyzex.com/paper/arxiv:2108.10763/code)