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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- audio-classification |
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language: |
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- en |
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tags: |
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- MIDI |
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- music |
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- score |
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- representations |
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- tokenized |
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- music AI |
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pretty_name: godzillapiano |
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size_categories: |
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- 1M<n<10M |
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dataset_info: |
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features: |
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- name: dataset |
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dtype: string |
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- name: md5 |
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dtype: string |
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- name: score |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 56796114600 |
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num_examples: 1138048 |
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download_size: 7136701973 |
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dataset_size: 56796114600 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Godzilla Piano |
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## 1.1M+ select normalized solo piano scores representations from [Godzilla MIDI dataset](https://huggingface.co/datasets/projectlosangeles/Godzilla-MIDI-Dataset) |
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``` |
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Godzilla's Musical Transformation by Microsoft Copilot |
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In the neon glow of a midnight throng, |
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A beast with headphones hums along. |
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Where thunderous roars once led the fray, |
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Now delicate keystrokes steal the day. |
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Godzilla, master of storm and lore, |
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Swaps terror for tunes, a musical score. |
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Each note a spark on the ebony keys, |
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Transforming chaos into rhythmic ease. |
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Under moonlit skies and electric sound, |
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The once-feared monster becomes beautifully profound. |
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A gentle reminder in each playful beat, |
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Even legends can find joy in something sweet. |
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So let the bass and melody entwine, |
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In a magical dance, uniquely divine. |
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For in each unexpected twist and gleam, |
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Lies the heart of a dreamer and a dreamer's dream. |
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``` |
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*** |
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## Installation and use |
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*** |
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### Load dataset |
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```python |
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#=================================================================== |
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from datasets import load_dataset |
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#=================================================================== |
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godzilla_piano = load_dataset('asigalov61/Godzilla-Piano') |
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dataset_split = 'train' |
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dataset_entry_index = 0 |
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dataset_entry = godzilla_piano[dataset_split][dataset_entry_index] |
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midi_dataset = dataset_entry['dataset'] |
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midi_hash = dataset_entry['md5'] |
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midi_score = dataset_entry['score'] |
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print(midi_dataset) |
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print(midi_hash) |
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print(midi_score[:15]) |
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``` |
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*** |
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### Decode score to MIDI |
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```python |
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#=================================================================== |
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# !git clone --depth 1 https://github.com/asigalov61/tegridy-tools |
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#=================================================================== |
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import TMIDIX |
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#=================================================================== |
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def decode_to_ms_MIDI_score(midi_score): |
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score = [] |
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time = 0 |
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for m in midi_score: |
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if 0 <= m < 128: |
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time += m * 32 |
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elif 128 < m < 256: |
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dur = (m-128) * 32 |
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elif 256 < m < 384: |
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pitch = (m-256) |
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elif 384 < m < 512: |
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vel = (m-384) |
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score.append(['note', time, dur, 0, pitch, vel, 0]) |
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return score |
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#=================================================================== |
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ms_MIDI_score = decode_to_ms_MIDI_score(midi_score) |
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#=================================================================== |
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detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(ms_MIDI_score, |
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output_signature = midi_hash, |
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output_file_name = midi_hash, |
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track_name='Project Los Angeles' |
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) |
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``` |
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*** |
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## Citations |
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```bibtex |
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@misc{GodzillaMIDIDataset2025, |
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title = {Godzilla MIDI Dataset: Enormous, comprehensive, normalized and searchable MIDI dataset for MIR and symbolic music AI purposes}, |
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author = {Alex Lev}, |
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publisher = {Project Los Angeles / Tegridy Code}, |
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year = {2025}, |
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url = {https://huggingface.co/datasets/projectlosangeles/Godzilla-MIDI-Dataset} |
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``` |
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```bibtex |
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@misc {breadai_2025, |
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author = { {BreadAi} }, |
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title = { Sourdough-midi-dataset (Revision cd19431) }, |
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year = 2025, |
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url = {\url{https://huggingface.co/datasets/BreadAi/Sourdough-midi-dataset}}, |
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doi = { 10.57967/hf/4743 }, |
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publisher = { Hugging Face } |
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} |
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``` |
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```bibtex |
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@inproceedings{bradshawaria, |
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title={Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling}, |
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author={Bradshaw, Louis and Colton, Simon}, |
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booktitle={International Conference on Learning Representations}, |
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year={2025}, |
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url={https://openreview.net/forum?id=X5hrhgndxW}, |
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} |
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``` |
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*** |
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### Project Los Angeles |
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### Tegridy Code 2025 |
