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---
license: cc-by-sa-4.0
language:
- en
tags:
- MIDI
- Monster
- Piano
- Representations
pretty_name: monsterpiano
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: midi_hash
dtype: string
- name: midi_score
sequence: int64
- name: midi_signature
sequence:
sequence: int64
splits:
- name: train
num_bytes: 30593499836
num_examples: 580204
download_size: 4082220299
dataset_size: 30593499836
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Monster Piano
## 580204 solo Piano MIDI scores representations from [Monster MIDI dataset](https://huggingface.co/datasets/projectlosangeles/Monster-MIDI-Dataset)
***
## Installation and use
***
### Load dataset
```python
#===================================================================
from datasets import load_dataset
#===================================================================
monster_piano = load_dataset('asigalov61/Monster-Piano')
dataset_split = 'train'
dataset_entry_index = 0
dataset_entry = monster_piano[dataset_split][dataset_entry_index]
midi_hash = dataset_entry['midi_hash']
midi_score = dataset_entry['midi_score']
midi_signature = dataset_entry['midi_signature']
print(midi_hash)
print(midi_score[:15])
print(midi_signature[:4])
```
***
### Decode score to MIDI
```python
#===================================================================
# !git clone --depth 1 https://github.com/asigalov61/tegridy-tools
#===================================================================
import TMIDIX
#===================================================================
def decode_to_ms_MIDI_score(midi_score):
score = []
time = 0
for m in midi_score:
if 0 <= m < 128:
time += m * 32
elif 128 < m < 256:
dur = (m-128) * 32
elif 256 < m < 384:
pitch = (m-256)
elif 384 < m < 512:
vel = (m-384)
score.append(['note', time, dur, 0, pitch, vel, 0])
return score
#===================================================================
ms_MIDI_score = decode_to_ms_MIDI_score(midi_score)
#===================================================================
detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(ms_MIDI_score,
output_signature = midi_hash,
output_file_name = midi_hash,
track_name='Project Los Angeles'
)
```
***
### Calculate MIDI score signature
```python
#===================================================================
# !git clone --depth 1 https://github.com/asigalov61/tegridy-tools
#===================================================================
from collections import Counter
import TMIDIX
#===================================================================
def get_score_signature(midi_score):
score = []
time = 0
pt = 0
for m in midi_score:
if 0 <= m < 128:
time = m
elif 256 < m < 384:
pitch = (m-256)
if time == pt:
score.append([0, pitch])
else:
score.append([time, pitch])
pt = time
chords = []
cho = []
for s in score:
if s[0] == 0:
cho.append(s[1])
else:
if cho:
chords.append(cho)
cho = [s[1]]
pitches_chords = []
for c in chords:
if len(c) > 1:
tones_chord = sorted(set([p % 12 for p in c]))
while tones_chord not in TMIDIX.ALL_CHORDS_SORTED:
tones_chord = tones_chord[:-1]
pitches_chords.append(TMIDIX.ALL_CHORDS_SORTED.index(tones_chord)+128)
else:
pitches_chords.append(c[0])
return list(Counter(pitches_chords).most_common())
```
***
### Project Los Angeles
### Tegridy Code 2024 |