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license: mit
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---
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- git-commit
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- multi-label
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- text
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- classification
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size_categories:
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- n<1K
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---
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# Commit Classification Dataset
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This dataset is designed for multi-label classification of Git commit messages into predefined categories.
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## Dataset Summary
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This dataset contains:
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- **Training data**: Commit messages and their corresponding labels for training the model.
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- **Validation data**: A separate set of messages for tuning and evaluation.
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- **Testing data**: Unlabeled commit messages for testing the model’s performance.
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The goal of the dataset is to classify each commit message into one or more categories (multi-label classification).
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## Dataset Structure
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### Data Files
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The dataset consists of the following CSV files:
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- `training_data.csv`: Contains commit messages for training.
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- `training_label.csv`: Contains multi-label annotations for the training set.
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- `validation_data.csv`: Contains commit messages for validation.
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- `validation_label.csv`: Contains multi-label annotations for the validation set.
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- `testing_data.csv`: Contains commit messages for testing (without labels).
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