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