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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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This is the Leaderboard for my competiotion in Codalab |
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