| --- |
| license: cc-by-4.0 |
| task_categories: |
| - other |
| language: |
| - en |
| tags: |
| - music |
| - folk-music |
| - irish-traditional-music |
| - abc-notation |
| - symbolic-music |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # ABC2Vec Irish Folk Music Dataset |
|
|
| This dataset contains 211,524 Irish traditional tunes in ABC notation, preprocessed and split for training representation learning models. |
|
|
| ## Dataset Description |
|
|
| - **Curated by:** IrishMAN Dataset (The Session + ABCnotation.com) |
| - **Processed for:** ABC2Vec: Self-Supervised Representation Learning for Irish Folk Music |
| - **Language:** ABC notation (symbolic music format) |
| - **License:** CC-BY-4.0 |
|
|
| ## Dataset Structure |
|
|
| ### Data Splits |
|
|
| | Split | Tunes | File Size | |
| |-------|-------|-----------| |
| | Train | 198,893 | 70 MB | |
| | Validation | 10,469 | 3.7 MB | |
| | Test | 2,162 | 778 KB | |
| | **Total** | **211,524** | **~74 MB** | |
|
|
| ### Data Fields |
|
|
| Each tune contains: |
| - `tune_id`: Unique identifier |
| - `title`: Tune name |
| - `abc_body`: ABC notation of the melody |
| - `tune_type`: Rhythmic category (jig, reel, polka, waltz, etc.) |
| - `mode`: Tonal mode (major, minor, dorian, mixolydian) |
| - `key`: Key signature |
| - `meter`: Time signature |
| - `bar_count`: Number of bars in the tune |
|
|
| ### Dataset Statistics |
|
|
| - **Tune Types:** 44.9% reels, 21.3% jigs, 14.5% polkas, 12.2% waltzes |
| - **Modes:** 80.2% major, 11.3% minor, 5.4% Dorian, 3.0% Mixolydian |
| - **Keys:** 30.5% G, 26.8% D, 13.9% A (sharp keys dominant) |
| - **Median Length:** 18 bars, 287 characters |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the entire dataset |
| dataset = load_dataset("pianistprogrammer/abc2vec-irish-folk-dataset") |
| |
| # Access splits |
| train = dataset["train"] |
| val = dataset["validation"] |
| test = dataset["test"] |
| |
| # Example tune |
| print(train[0]["abc_body"]) |
| print(f"Type: {train[0]['tune_type']}, Mode: {train[0]['mode']}") |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @article{abc2vec2025, |
| title={ABC2Vec: Self-Supervised Representation Learning for Irish Folk Music}, |
| author={[Your Name]}, |
| journal={[Journal Name]}, |
| year={2025} |
| } |
| ``` |
|
|
| ## Source |
|
|
| This dataset is derived from: |
| - **The Session** (thesession.org): Community-maintained Irish traditional music archive |
| - **ABCnotation.com**: Long-standing ABC notation repository |
|
|
| Processed as part of the IrishMAN (Irish Music ABC Notation) corpus. |
|
|
| ## License |
|
|
| Creative Commons Attribution 4.0 International (CC-BY-4.0) |
|
|
| The original tunes are traditional folk music in the public domain. This processed dataset is released under CC-BY-4.0. |
|
|
| ## Additional Files |
|
|
| - `vocab.json`: Character vocabulary for tokenization (98 tokens) |
| - `metadata.csv`: Complete metadata for all 211,524 tunes |
|
|
| ## Contact |
|
|
| For questions or issues with this dataset, please open an issue on the [ABC2Vec GitHub repository](https://github.com/pianistprogrammer/ABC2VEC). |
|
|
