meriemm6/commit-classification-dataset

Commit Classification Dataset

This dataset is designed for multi-label classification of Git commit messages into predefined categories.

Dataset Summary

This dataset contains:

• Training data: Commit messages and their corresponding labels for training the model.
• Validation data: A separate set of messages for tuning and evaluation.
• Testing data: Unlabeled commit messages for testing the model’s performance.

The goal of the dataset is to classify each commit message into one or more categories (multi-label classification).

Dataset Structure

Data Files

The dataset consists of the following CSV files:

• training_data.csv: Contains commit messages for training.
• training_label.csv: Contains multi-label annotations for the training set.
• validation_data.csv: Contains commit messages for validation.
• validation_label.csv: Contains multi-label annotations for the validation set.
• testing_data.csv: Contains commit messages for testing (without labels).

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