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---
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
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