Gitome: A curated dataset for GitHub README-related tasks

About 

This repository contains the source code implementation used to replicate the experimental results obtained in the submitted to the 21st International Conference on Mining Software Repositories (MSR204).

"Gitome: A curated dataset for GitHub README-related tasks"

authored by:

Claudio Di Sipio, Juri Di Rocco, Riccardo Rubei, Phuong Than Nguyen, and Davide Di Ruscio,

Università degli Studi dell'Aquila, Italy

Data description 

The dataset is structured as follows: 

• emf_metamodel.zip: It contains the Ecore project with the Gitome data model
• existing_dumps.zip: It contains the existing datasets used to build Gitome
• lang_aggr_stats.csv: It contains the language data to compute the statistics presented in the paper
• langs.csv: It contains all the languages and their frequency
• output_dataset.zip: It contains the benchmarking dataset obtained by parsing the README files
• repository_lists.zip: It contains the list of repositories for each considered dataset (with possible duplicates)
• topics.csv: It contains all the topics and their frequency
• topics_aggr_stats.csv:  It contains the topics data to compute the statistics presented in the paper
• gitome_repo.txt: It contains the list of the URLs of the considered GitHub repositories

How to collect Gitome

To collect all the data stored in this archive, please refer to the supporting Github repository https://github.com/MDEGroup/Gitome-MSR2024.