| --- |
| license: mit |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - git-commit |
| - multi-label |
| - text |
| - classification |
| size_categories: |
| - n<1K |
| --- |
| |
| # 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). |
|
|
| This is the Leaderboard for my competiotion in Codalab |
|
|
|
|
|  |
|
|
