Karma Riuk 959184b2a8 we can now clean the dataset from useless entries

2025-05-07 10:38:41 +02:00

.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

we can now clean the dataset from useless entries

2025-05-07 10:38:41 +02:00

errors.py

now using only the new datset version

2025-03-31 14:25:17 +02:00

ghs_repos.csv.gz

renamed file

2025-02-28 11:46:38 +01:00

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

now using only the new datset version

2025-03-31 14:25:17 +02:00

manual_selection.py

implemented the manual selection script

2025-04-29 14:40:58 +02:00

maven.Dockerfile

fixed docker files

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

optional-requirments.txt

added a simple caching of the requests to make it

2025-04-01 10:14:45 +02:00

pull_requests.py

added uuid when creating the dataset

2025-05-07 10:38:20 +02:00

requirements.txt

added javalang to requriements

2025-03-23 09:27:59 +01:00

sample.csv

first version of gpt

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stats_pull_requests.py

extracted function to utils

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utils.py

prompts can now have a default value when enter is

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Description

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

2.3 MiB

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Dockerfile 1.1%

Shell 1.1%