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--- |
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license: cc-by-sa-4.0 |
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language: |
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- en |
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tags: |
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- MIDI |
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- Monster |
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- Piano |
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- Representations |
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pretty_name: monsterpiano |
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size_categories: |
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- 100K<n<1M |
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dataset_info: |
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features: |
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- name: midi_hash |
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dtype: string |
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- name: midi_score |
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sequence: int64 |
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- name: midi_signature |
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sequence: |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 30593499836 |
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num_examples: 580204 |
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download_size: 4082220299 |
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dataset_size: 30593499836 |
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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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# Monster Piano |
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## 580204 solo Piano MIDI scores representations from [Monster MIDI dataset](https://huggingface.co/datasets/projectlosangeles/Monster-MIDI-Dataset) |
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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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monster_piano = load_dataset('asigalov61/Monster-Piano') |
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dataset_split = 'train' |
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dataset_entry_index = 0 |
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dataset_entry = monster_piano[dataset_split][dataset_entry_index] |
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midi_hash = dataset_entry['midi_hash'] |
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midi_score = dataset_entry['midi_score'] |
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midi_signature = dataset_entry['midi_signature'] |
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print(midi_hash) |
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print(midi_score[:15]) |
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print(midi_signature[:4]) |
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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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### Calculate MIDI score signature |
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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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from collections import Counter |
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import TMIDIX |
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#=================================================================== |
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def get_score_signature(midi_score): |
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score = [] |
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time = 0 |
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pt = 0 |
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for m in midi_score: |
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if 0 <= m < 128: |
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time = m |
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elif 256 < m < 384: |
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pitch = (m-256) |
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if time == pt: |
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score.append([0, pitch]) |
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else: |
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score.append([time, pitch]) |
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pt = time |
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chords = [] |
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cho = [] |
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for s in score: |
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if s[0] == 0: |
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cho.append(s[1]) |
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else: |
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if cho: |
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chords.append(cho) |
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cho = [s[1]] |
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pitches_chords = [] |
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for c in chords: |
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if len(c) > 1: |
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tones_chord = sorted(set([p % 12 for p in c])) |
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while tones_chord not in TMIDIX.ALL_CHORDS_SORTED: |
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tones_chord = tones_chord[:-1] |
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pitches_chords.append(TMIDIX.ALL_CHORDS_SORTED.index(tones_chord)+128) |
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else: |
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pitches_chords.append(c[0]) |
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return list(Counter(pitches_chords).most_common()) |
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``` |
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*** |
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### Project Los Angeles |
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### Tegridy Code 2024 |
