Karma Riuk 65306af557 now saving the dataset after each successfully ...

stored PR

2025-03-17 10:48:09 +01:00

.gitignore

Initial commit

2025-02-17 11:38:35 +01:00

clone_repos.py

using expections to interrupt the flow of

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dataset.py

made better length of dataset

2025-03-14 15:21:42 +01:00

ghs_repos.csv.gz

renamed file

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gpt.py

first version of gpt

2025-02-28 11:12:07 +01:00

gradle.Dockerfile

fixed docker files

2025-03-01 17:16:58 +01:00

handlers.py

using expections to interrupt the flow of

2025-03-14 16:10:54 +01:00

maven.Dockerfile

fixed docker files

2025-03-01 17:16:58 +01:00

pull_requests.py

now saving the dataset after each successfully

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requirements.txt

now using the PyGithub library, so that it handles

2025-03-06 16:36:53 +01:00

sample.csv

first version of gpt

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stats_pull_requests.py

extracted function to utils

2025-03-14 14:04:41 +01:00

utils.py

unified the interface of funcitons in utils (made

2025-03-14 15:14:48 +01:00

Description

The code to generate the dataset for the benchmark of my Master's Thesis CRAB: Code Review Automated Benchmark

2.4 MiB

Languages

Python 97.8%

Dockerfile 1.1%

Shell 1.1%