---
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


![image/png](https://cdn-uploads.huggingface.co/production/uploads/6754571a30faea0692ce130e/AaRgjlHlEp_GJTt43-Lal.png)