saridormi/commit-message-quality

Commit Message Quality dataset

This is the dataset for commit message quality classification, used during processing of Commit Message Generation dataset from 🏟️ Long Code Arena benchmark.

This is a cleaned and relabeled version of the dataset from 📜 "Commit Message Matters: Investigating Impact and Evolution of Commit Message Quality", ICSE'23. We drop "Neither Why nor What" examples, clean all the external references (URLs, issues/PR references) from messages and manually label each sample with the goal of training a binary commit message quality classifier for data filtering in mind.

How-to

Load the data via load_dataset:

```
from datasets import load_dataset

dataset = load_dataset("saridormi/commit-message-quality", split="test")
```

Note that all the data we have is considered to be in the test split.

Dataset Structure

Each example has the following fields:

Field	Description
url	Link to commit on GitHub.
original_message	Commit message as it was in the original dataset.
message	Commit message cleaned from external references.
original_label	Commit message label as it was in the original dataset (Why and What/No Why/No What).
is_good	Whether the commit message serves as a good example of a high quality commit message (boolean).
is_bad	Whether the commit message serves as a good example of a low quality commit message (boolean).
binary_label	Commit message label: 1 for high quality messages, 0 for low quality messages, null for messages not recommended to consider for classifier training.

Data point example:

{"url":"https://github.com/spring-projects/spring-boot/commit/7080500db9ecf1cf78ad23503280c713bb6e8649",
 "original_message":"Upgrade to Commons Lang3 3.6 \n  \n Closes gh-9661",
 "message":"Upgrade to Commons Lang3 3.6",
 "original_label":"Why and What",
 "is_good": False,
 "is_bad": True,
 "binary_label":0.0,
}