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Los_Angeles_MIDI_Dataset_Maker.ipynb CHANGED
@@ -11,7 +11,7 @@
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
- "# Los Angeles MIDI Dataset Maker (ver. 3.0)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
@@ -244,12 +244,12 @@
244
  " input_files_count += 1\n",
245
  "\n",
246
  " fn = os.path.basename(f)\n",
247
- " \n",
248
  " # Filtering out giant MIDIs\n",
249
  " file_size = os.path.getsize(f)\n",
250
  "\n",
251
  " if file_size <= 1000000:\n",
252
- " \n",
253
  " fdata = open(f, 'rb').read()\n",
254
  "\n",
255
  " md5sum = hashlib.md5(fdata).hexdigest()\n",
@@ -266,7 +266,7 @@
266
  " itrack = 1\n",
267
  "\n",
268
  " while itrack < len(score):\n",
269
- " for event in score[itrack]: \n",
270
  " events_matrix.append(event)\n",
271
  " itrack += 1\n",
272
  "\n",
@@ -284,13 +284,18 @@
284
  "\n",
285
  " if str(md5sum) not in all_md5_names:\n",
286
  "\n",
 
 
287
  " pitches = [n[4] for n in notes]\n",
288
  " pitches_sum = sum(pitches)\n",
289
  "\n",
290
  " if pitches_sum not in all_pitches_sums:\n",
 
 
 
291
  " pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1])\n",
292
  " pitches_counts = [p[1] for p in pitches_and_counts]\n",
293
- " \n",
294
  " #=======================================================\n",
295
  "\n",
296
  " if pitches_counts not in all_pitches_counts:\n",
@@ -301,19 +306,17 @@
301
  " print('=' * 70)\n",
302
  " print('Saving processed data...')\n",
303
  " print('=' * 70)\n",
304
- " TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')\n",
305
  " print('=' * 70)\n",
306
  " print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
307
  " print('=' * 70)\n",
308
- " \n",
309
  "\n",
310
  " shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name)\n",
311
  "\n",
312
- " all_md5_names.append(str(md5sum))\n",
313
- " all_pitches_sums.append(pitches_sum)\n",
314
  " all_pitches_counts.append(pitches_counts)\n",
315
  " all_pitches_and_counts.append(pitches_and_counts)\n",
316
- " \n",
317
  " if files_count % 1000 == 0:\n",
318
  " print('=' * 70)\n",
319
  " print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
@@ -323,10 +326,10 @@
323
  " files_count += 1\n",
324
  "\n",
325
  " #=======================================================\n",
326
- " \n",
327
  " except KeyboardInterrupt:\n",
328
  " print('Saving current progress and quitting...')\n",
329
- " break \n",
330
  "\n",
331
  " except Exception as ex:\n",
332
  " print('WARNING !!!')\n",
@@ -340,11 +343,11 @@
340
  "print('=' * 70)\n",
341
  "print('Saving processed data...')\n",
342
  "print('=' * 70)\n",
343
- "TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')\n",
344
  "print('=' * 70)\n",
345
  "print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
346
  "print('=' * 70)\n",
347
- "print('Done!') \n",
348
  "print('=' * 70)\n",
349
  "\n",
350
  "print('Resulting Stats:')\n",
 
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
+ "# Los Angeles MIDI Dataset Maker (ver. 3.1)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
 
244
  " input_files_count += 1\n",
245
  "\n",
246
  " fn = os.path.basename(f)\n",
247
+ "\n",
248
  " # Filtering out giant MIDIs\n",
249
  " file_size = os.path.getsize(f)\n",
250
  "\n",
251
  " if file_size <= 1000000:\n",
252
+ "\n",
253
  " fdata = open(f, 'rb').read()\n",
254
  "\n",
255
  " md5sum = hashlib.md5(fdata).hexdigest()\n",
 
266
  " itrack = 1\n",
267
  "\n",
268
  " while itrack < len(score):\n",
269
+ " for event in score[itrack]:\n",
270
  " events_matrix.append(event)\n",
271
  " itrack += 1\n",
272
  "\n",
 
284
  "\n",
285
  " if str(md5sum) not in all_md5_names:\n",
286
  "\n",
287
+ " all_md5_names.append(str(md5sum))\n",
288
+ "\n",
289
  " pitches = [n[4] for n in notes]\n",
290
  " pitches_sum = sum(pitches)\n",
291
  "\n",
292
  " if pitches_sum not in all_pitches_sums:\n",
293
+ "\n",
294
+ " all_pitches_sums.append(pitches_sum)\n",
295
+ "\n",
296
  " pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1])\n",
297
  " pitches_counts = [p[1] for p in pitches_and_counts]\n",
298
+ "\n",
299
  " #=======================================================\n",
300
  "\n",
301
  " if pitches_counts not in all_pitches_counts:\n",
 
306
  " print('=' * 70)\n",
307
  " print('Saving processed data...')\n",
308
  " print('=' * 70)\n",
309
+ " TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')\n",
310
  " print('=' * 70)\n",
311
  " print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
312
  " print('=' * 70)\n",
313
+ "\n",
314
  "\n",
315
  " shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name)\n",
316
  "\n",
 
 
317
  " all_pitches_counts.append(pitches_counts)\n",
318
  " all_pitches_and_counts.append(pitches_and_counts)\n",
319
+ "\n",
320
  " if files_count % 1000 == 0:\n",
321
  " print('=' * 70)\n",
322
  " print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
 
326
  " files_count += 1\n",
327
  "\n",
328
  " #=======================================================\n",
329
+ "\n",
330
  " except KeyboardInterrupt:\n",
331
  " print('Saving current progress and quitting...')\n",
332
+ " break\n",
333
  "\n",
334
  " except Exception as ex:\n",
335
  " print('WARNING !!!')\n",
 
343
  "print('=' * 70)\n",
344
  "print('Saving processed data...')\n",
345
  "print('=' * 70)\n",
346
+ "TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')\n",
347
  "print('=' * 70)\n",
348
  "print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')\n",
349
  "print('=' * 70)\n",
350
+ "print('Done!')\n",
351
  "print('=' * 70)\n",
352
  "\n",
353
  "print('Resulting Stats:')\n",
Los_Angeles_MIDI_Dataset_Metadata_Maker.ipynb CHANGED
@@ -11,7 +11,7 @@
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
- "# Los Angeles MIDI Dataset Metadata Maker (ver. 3.0)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
@@ -254,34 +254,34 @@
254
  "\n",
255
  " #=======================================================\n",
256
  " # START PROCESSING\n",
257
- " \n",
258
  " opus = TMIDIX.midi2opus(open(f, 'rb').read())\n",
259
- " \n",
260
  " opus_events_matrix = []\n",
261
- " \n",
262
  " itrack0 = 1\n",
263
- " \n",
264
  " while itrack0 < len(opus):\n",
265
- " for event in opus[itrack0]: \n",
266
  " opus_events_matrix.append(event)\n",
267
  " itrack0 += 1\n",
268
- " \n",
269
  " #=======================================================\n",
270
- " \n",
271
  " ms_score = TMIDIX.opus2score(TMIDIX.to_millisecs(opus))\n",
272
  "\n",
273
  " ms_events_matrix = []\n",
274
- " \n",
275
  " itrack1 = 1\n",
276
- " \n",
277
  " while itrack1 < len(ms_score):\n",
278
- " for event in ms_score[itrack1]: \n",
279
  " if event[0] == 'note':\n",
280
  " ms_events_matrix.append(event)\n",
281
  " itrack1 += 1\n",
282
  "\n",
283
  " ms_events_matrix.sort(key=lambda x: x[1])\n",
284
- " \n",
285
  " #=======================================================\n",
286
  "\n",
287
  " # Convering MIDI to score with MIDI.py module\n",
@@ -291,20 +291,20 @@
291
  "\n",
292
  " events_matrix = []\n",
293
  " full_events_matrix = []\n",
294
- " \n",
295
  " itrack = 1\n",
296
  " patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n",
297
  "\n",
298
  " while itrack < len(score):\n",
299
- " for event in score[itrack]: \n",
300
  " if event[0] == 'note' or event[0] == 'patch_change':\n",
301
  " events_matrix.append(event)\n",
302
  " full_events_matrix.append(event)\n",
303
  " itrack += 1\n",
304
- " \n",
305
  " full_events_matrix.sort(key=lambda x: x[1])\n",
306
  " events_matrix.sort(key=lambda x: x[1])\n",
307
- " \n",
308
  " events_matrix1 = []\n",
309
  "\n",
310
  " for event in events_matrix:\n",
@@ -315,8 +315,8 @@
315
  " event.extend([patches[event[3]]])\n",
316
  " events_matrix1.append(event)\n",
317
  "\n",
318
- " if len(events_matrix1) > 32: \n",
319
- " \n",
320
  " events_matrix1.sort(key=lambda x: x[1])\n",
321
  "\n",
322
  " for e in events_matrix1:\n",
@@ -328,15 +328,15 @@
328
  "\n",
329
  " pitches_counts = [[y[0],y[1]] for y in Counter([y[4] for y in events_matrix1]).most_common()]\n",
330
  " pitches_counts.sort(key=lambda x: x[0], reverse=True)\n",
331
- " \n",
332
  " patches = sorted([y[6] for y in events_matrix1])\n",
333
  " patches_counts = [[y[0], y[1]] for y in Counter(patches).most_common()]\n",
334
  " patches_counts.sort(key = lambda x: x[0])\n",
335
- " \n",
336
  " midi_patches = sorted(list(set([y[3] for y in events_matrix if y[0] == 'patch_change'])))\n",
337
  " if len(midi_patches) == 0:\n",
338
  " midi_patches = [0]\n",
339
- " \n",
340
  " times = []\n",
341
  " pt = ms_events_matrix[0][1]\n",
342
  " start = True\n",
@@ -345,37 +345,37 @@
345
  " times.append((e[1]-pt))\n",
346
  " start = False\n",
347
  " pt = e[1]\n",
348
- " \n",
349
  " times_sum = min(10000000, sum(times))\n",
350
- " \n",
351
  " durs = [e[2] for e in ms_events_matrix]\n",
352
  " vels = [e[5] for e in ms_events_matrix]\n",
353
- " \n",
354
  " avg_time = int(sum(times) / len(times))\n",
355
  " avg_dur = int(sum(durs) / len(durs))\n",
356
  " avg_vel = int(sum(vels) / len(vels))\n",
357
- " \n",
358
  " mode_time = statistics.mode(times)\n",
359
  " mode_dur = statistics.mode(durs)\n",
360
  " mode_vel = statistics.mode(vels)\n",
361
- " \n",
362
  " median_time = int(statistics.median(times))\n",
363
  " median_dur = int(statistics.median(durs))\n",
364
  " median_vel = int(statistics.median(vels))\n",
365
- " \n",
366
- " text_events_list = ['text_event', \n",
367
- " 'text_event_08', \n",
368
- " 'text_event_09', \n",
369
- " 'text_event_0a', \n",
370
- " 'text_event_0b', \n",
371
  " 'text_event_0c',\n",
372
  " 'text_event_0d',\n",
373
  " 'text_event_0e',\n",
374
  " 'text_event_0f']\n",
375
- " \n",
376
  " text_events_count = len([e for e in full_events_matrix if e[0] in text_events_list])\n",
377
  " lyric_events_count = len([e for e in full_events_matrix if e[0] == 'lyric'])\n",
378
- " \n",
379
  " chords = []\n",
380
  " pe = ms_events_matrix[0]\n",
381
  " cho = []\n",
@@ -393,18 +393,18 @@
393
  " cho.append(e[4] % 12)\n",
394
  "\n",
395
  " pe = e\n",
396
- " \n",
397
  " if len(cho) > 0:\n",
398
  " chords.append(sorted(cho))\n",
399
  "\n",
400
  " ms_chords_counts = sorted([[list(key), val] for key,val in Counter([tuple(c) for c in chords if len(c) > 1]).most_common()], reverse=True, key = lambda x: x[1])\n",
401
  " if len(ms_chords_counts) == 0:\n",
402
  " ms_chords_counts = [[[0, 0], 0]]\n",
403
- " \n",
404
  " total_number_of_chords = len(set([y[1] for y in events_matrix1]))\n",
405
- " \n",
406
  " tempo_change_count = len([f for f in full_events_matrix if f[0] == 'set_tempo'])\n",
407
- " \n",
408
  " thirty_second_note = [e for e in events_matrix1][32]\n",
409
  " thirty_second_note_idx = full_events_matrix.index(thirty_second_note)\n",
410
  "\n",
@@ -428,7 +428,7 @@
428
  " data.append(['midi_ticks', score[0]])\n",
429
  " data.extend(full_events_matrix[:thirty_second_note_idx])\n",
430
  " data.append(full_events_matrix[-1])\n",
431
- " \n",
432
  " melody_chords_f.append([fn1, data])\n",
433
  "\n",
434
  " #=======================================================\n",
@@ -451,7 +451,7 @@
451
  "\n",
452
  " except KeyboardInterrupt:\n",
453
  " print('Saving current progress and quitting...')\n",
454
- " break \n",
455
  "\n",
456
  " except Exception as ex:\n",
457
  " print('WARNING !!!')\n",
@@ -472,7 +472,7 @@
472
  "\n",
473
  "# Displaying resulting processing stats...\n",
474
  "print('=' * 70)\n",
475
- "print('Done!') \n",
476
  "print('=' * 70)\n",
477
  "\n",
478
  "print('Resulting Stats:')\n",
@@ -520,7 +520,7 @@
520
  " print('=' * 70)\n",
521
  " print('Loaded file:', f)\n",
522
  " print('=' * 70)\n",
523
- " \n",
524
  "print('Done!')\n",
525
  "print('=' * 70)\n",
526
  "print('Randomizing metadata entries order...')\n",
 
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
+ "# Los Angeles MIDI Dataset Metadata Maker (ver. 3.1)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
 
254
  "\n",
255
  " #=======================================================\n",
256
  " # START PROCESSING\n",
257
+ "\n",
258
  " opus = TMIDIX.midi2opus(open(f, 'rb').read())\n",
259
+ "\n",
260
  " opus_events_matrix = []\n",
261
+ "\n",
262
  " itrack0 = 1\n",
263
+ "\n",
264
  " while itrack0 < len(opus):\n",
265
+ " for event in opus[itrack0]:\n",
266
  " opus_events_matrix.append(event)\n",
267
  " itrack0 += 1\n",
268
+ "\n",
269
  " #=======================================================\n",
270
+ "\n",
271
  " ms_score = TMIDIX.opus2score(TMIDIX.to_millisecs(opus))\n",
272
  "\n",
273
  " ms_events_matrix = []\n",
274
+ "\n",
275
  " itrack1 = 1\n",
276
+ "\n",
277
  " while itrack1 < len(ms_score):\n",
278
+ " for event in ms_score[itrack1]:\n",
279
  " if event[0] == 'note':\n",
280
  " ms_events_matrix.append(event)\n",
281
  " itrack1 += 1\n",
282
  "\n",
283
  " ms_events_matrix.sort(key=lambda x: x[1])\n",
284
+ "\n",
285
  " #=======================================================\n",
286
  "\n",
287
  " # Convering MIDI to score with MIDI.py module\n",
 
291
  "\n",
292
  " events_matrix = []\n",
293
  " full_events_matrix = []\n",
294
+ "\n",
295
  " itrack = 1\n",
296
  " patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n",
297
  "\n",
298
  " while itrack < len(score):\n",
299
+ " for event in score[itrack]:\n",
300
  " if event[0] == 'note' or event[0] == 'patch_change':\n",
301
  " events_matrix.append(event)\n",
302
  " full_events_matrix.append(event)\n",
303
  " itrack += 1\n",
304
+ "\n",
305
  " full_events_matrix.sort(key=lambda x: x[1])\n",
306
  " events_matrix.sort(key=lambda x: x[1])\n",
307
+ "\n",
308
  " events_matrix1 = []\n",
309
  "\n",
310
  " for event in events_matrix:\n",
 
315
  " event.extend([patches[event[3]]])\n",
316
  " events_matrix1.append(event)\n",
317
  "\n",
318
+ " if len(events_matrix1) > 32:\n",
319
+ "\n",
320
  " events_matrix1.sort(key=lambda x: x[1])\n",
321
  "\n",
322
  " for e in events_matrix1:\n",
 
328
  "\n",
329
  " pitches_counts = [[y[0],y[1]] for y in Counter([y[4] for y in events_matrix1]).most_common()]\n",
330
  " pitches_counts.sort(key=lambda x: x[0], reverse=True)\n",
331
+ "\n",
332
  " patches = sorted([y[6] for y in events_matrix1])\n",
333
  " patches_counts = [[y[0], y[1]] for y in Counter(patches).most_common()]\n",
334
  " patches_counts.sort(key = lambda x: x[0])\n",
335
+ "\n",
336
  " midi_patches = sorted(list(set([y[3] for y in events_matrix if y[0] == 'patch_change'])))\n",
337
  " if len(midi_patches) == 0:\n",
338
  " midi_patches = [0]\n",
339
+ "\n",
340
  " times = []\n",
341
  " pt = ms_events_matrix[0][1]\n",
342
  " start = True\n",
 
345
  " times.append((e[1]-pt))\n",
346
  " start = False\n",
347
  " pt = e[1]\n",
348
+ "\n",
349
  " times_sum = min(10000000, sum(times))\n",
350
+ "\n",
351
  " durs = [e[2] for e in ms_events_matrix]\n",
352
  " vels = [e[5] for e in ms_events_matrix]\n",
353
+ "\n",
354
  " avg_time = int(sum(times) / len(times))\n",
355
  " avg_dur = int(sum(durs) / len(durs))\n",
356
  " avg_vel = int(sum(vels) / len(vels))\n",
357
+ "\n",
358
  " mode_time = statistics.mode(times)\n",
359
  " mode_dur = statistics.mode(durs)\n",
360
  " mode_vel = statistics.mode(vels)\n",
361
+ "\n",
362
  " median_time = int(statistics.median(times))\n",
363
  " median_dur = int(statistics.median(durs))\n",
364
  " median_vel = int(statistics.median(vels))\n",
365
+ "\n",
366
+ " text_events_list = ['text_event',\n",
367
+ " 'text_event_08',\n",
368
+ " 'text_event_09',\n",
369
+ " 'text_event_0a',\n",
370
+ " 'text_event_0b',\n",
371
  " 'text_event_0c',\n",
372
  " 'text_event_0d',\n",
373
  " 'text_event_0e',\n",
374
  " 'text_event_0f']\n",
375
+ "\n",
376
  " text_events_count = len([e for e in full_events_matrix if e[0] in text_events_list])\n",
377
  " lyric_events_count = len([e for e in full_events_matrix if e[0] == 'lyric'])\n",
378
+ "\n",
379
  " chords = []\n",
380
  " pe = ms_events_matrix[0]\n",
381
  " cho = []\n",
 
393
  " cho.append(e[4] % 12)\n",
394
  "\n",
395
  " pe = e\n",
396
+ "\n",
397
  " if len(cho) > 0:\n",
398
  " chords.append(sorted(cho))\n",
399
  "\n",
400
  " ms_chords_counts = sorted([[list(key), val] for key,val in Counter([tuple(c) for c in chords if len(c) > 1]).most_common()], reverse=True, key = lambda x: x[1])\n",
401
  " if len(ms_chords_counts) == 0:\n",
402
  " ms_chords_counts = [[[0, 0], 0]]\n",
403
+ "\n",
404
  " total_number_of_chords = len(set([y[1] for y in events_matrix1]))\n",
405
+ "\n",
406
  " tempo_change_count = len([f for f in full_events_matrix if f[0] == 'set_tempo'])\n",
407
+ "\n",
408
  " thirty_second_note = [e for e in events_matrix1][32]\n",
409
  " thirty_second_note_idx = full_events_matrix.index(thirty_second_note)\n",
410
  "\n",
 
428
  " data.append(['midi_ticks', score[0]])\n",
429
  " data.extend(full_events_matrix[:thirty_second_note_idx])\n",
430
  " data.append(full_events_matrix[-1])\n",
431
+ "\n",
432
  " melody_chords_f.append([fn1, data])\n",
433
  "\n",
434
  " #=======================================================\n",
 
451
  "\n",
452
  " except KeyboardInterrupt:\n",
453
  " print('Saving current progress and quitting...')\n",
454
+ " break\n",
455
  "\n",
456
  " except Exception as ex:\n",
457
  " print('WARNING !!!')\n",
 
472
  "\n",
473
  "# Displaying resulting processing stats...\n",
474
  "print('=' * 70)\n",
475
+ "print('Done!')\n",
476
  "print('=' * 70)\n",
477
  "\n",
478
  "print('Resulting Stats:')\n",
 
520
  " print('=' * 70)\n",
521
  " print('Loaded file:', f)\n",
522
  " print('=' * 70)\n",
523
+ "\n",
524
  "print('Done!')\n",
525
  "print('=' * 70)\n",
526
  "print('Randomizing metadata entries order...')\n",
Los_Angeles_MIDI_Dataset_Search_and_Explore.ipynb CHANGED
@@ -11,7 +11,7 @@
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
- "# Los Angeles MIDI Dataset: Search and Explore (ver. 3.0)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
@@ -207,7 +207,7 @@
207
  "print('=' * 70)\n",
208
  "\n",
209
  "hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',\n",
210
- " filename='Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip',\n",
211
  " repo_type=\"dataset\",\n",
212
  " local_dir='/content/LAMD',\n",
213
  " local_dir_use_symlinks=False)\n",
@@ -230,7 +230,7 @@
230
  "\n",
231
  "print('=' * 70)\n",
232
  "print('Unzipping Los Angeles MIDI Dataset...Please wait...')\n",
233
- "!unzip 'Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip'\n",
234
  "print('=' * 70)\n",
235
  "\n",
236
  "print('Done! Enjoy! :)')\n",
 
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
+ "# Los Angeles MIDI Dataset: Search and Explore (ver. 3.1)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
 
207
  "print('=' * 70)\n",
208
  "\n",
209
  "hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',\n",
210
+ " filename='Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip',\n",
211
  " repo_type=\"dataset\",\n",
212
  " local_dir='/content/LAMD',\n",
213
  " local_dir_use_symlinks=False)\n",
 
230
  "\n",
231
  "print('=' * 70)\n",
232
  "print('Unzipping Los Angeles MIDI Dataset...Please wait...')\n",
233
+ "!unzip 'Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip'\n",
234
  "print('=' * 70)\n",
235
  "\n",
236
  "print('Done! Enjoy! :)')\n",
Master_MIDI_Dataset_Search_and_Filter.ipynb CHANGED
@@ -11,7 +11,7 @@
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
- "# Master MIDI Dataset Search and Filter (ver. 3.0)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
@@ -135,7 +135,7 @@
135
  "print('=' * 70)\n",
136
  "\n",
137
  "hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',\n",
138
- " filename='Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip',\n",
139
  " repo_type=\"dataset\",\n",
140
  " local_dir='/content/Main-MIDI-Dataset',\n",
141
  " local_dir_use_symlinks=False)\n",
@@ -158,7 +158,7 @@
158
  "\n",
159
  "print('=' * 70)\n",
160
  "print('Unzipping Los Angeles MIDI Dataset...Please wait...')\n",
161
- "!unzip 'Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip'\n",
162
  "print('=' * 70)\n",
163
  "\n",
164
  "print('Done! Enjoy! :)')\n",
 
11
  "id": "SiTIpPjArIyr"
12
  },
13
  "source": [
14
+ "# Master MIDI Dataset Search and Filter (ver. 3.1)\n",
15
  "\n",
16
  "***\n",
17
  "\n",
 
135
  "print('=' * 70)\n",
136
  "\n",
137
  "hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',\n",
138
+ " filename='Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip',\n",
139
  " repo_type=\"dataset\",\n",
140
  " local_dir='/content/Main-MIDI-Dataset',\n",
141
  " local_dir_use_symlinks=False)\n",
 
158
  "\n",
159
  "print('=' * 70)\n",
160
  "print('Unzipping Los Angeles MIDI Dataset...Please wait...')\n",
161
+ "!unzip 'Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip'\n",
162
  "print('=' * 70)\n",
163
  "\n",
164
  "print('Done! Enjoy! :)')\n",
TMIDIX.py CHANGED
@@ -278,6 +278,73 @@ then opus2score()
278
  '''
279
  return opus2score(to_millisecs(midi2opus(midi)))
280
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
281
  #------------------------ Other Transformations ---------------------
282
 
283
  def to_millisecs(old_opus=None, desired_time_in_ms=1):
@@ -1499,7 +1566,8 @@ def Tegridy_SONG_to_MIDI_Converter(SONG,
1499
  number_of_ticks_per_quarter = 425,
1500
  list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0],
1501
  output_file_name = 'TMIDI-Composition',
1502
- text_encoding='ISO-8859-1'):
 
1503
 
1504
  '''Tegridy SONG to MIDI Converter
1505
 
@@ -1516,8 +1584,9 @@ def Tegridy_SONG_to_MIDI_Converter(SONG,
1516
 
1517
  Project Los Angeles
1518
  Tegridy Code 2020'''
1519
-
1520
- print('Converting to MIDI. Please stand-by...')
 
1521
 
1522
  output_header = [number_of_ticks_per_quarter,
1523
  [['track_name', 0, bytes(output_signature, text_encoding)]]]
@@ -1549,7 +1618,55 @@ def Tegridy_SONG_to_MIDI_Converter(SONG,
1549
  midi_file.write(midi_data)
1550
  midi_file.close()
1551
 
1552
- print('Done! Enjoy! :)')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1553
 
1554
  return detailed_MIDI_stats
1555
 
 
278
  '''
279
  return opus2score(to_millisecs(midi2opus(midi)))
280
 
281
+ def midi2single_track_ms_score(midi=b'', recalculate_channels = True, verbose = False):
282
+ r'''
283
+ Translates MIDI into a single track "score" with 16 instruments and one beat per second and one
284
+ tick per millisecond
285
+ '''
286
+
287
+ score = midi2score(midi)
288
+
289
+ if recalculate_channels:
290
+
291
+ events_matrixes = []
292
+
293
+ itrack = 1
294
+ events_matrixes_channels = []
295
+ while itrack < len(score):
296
+ events_matrix = []
297
+ for event in score[itrack]:
298
+ if event[0] == 'note' and event[3] != 9:
299
+ event[3] = (16 * (itrack-1)) + event[3]
300
+ if event[3] not in events_matrixes_channels:
301
+ events_matrixes_channels.append(event[3])
302
+
303
+ events_matrix.append(event)
304
+ events_matrixes.append(events_matrix)
305
+ itrack += 1
306
+
307
+ events_matrix1 = []
308
+ for e in events_matrixes:
309
+ events_matrix1.extend(e)
310
+
311
+ if verbose:
312
+ if len(events_matrixes_channels) > 16:
313
+ print('MIDI has', len(events_matrixes_channels), 'instruments!', len(events_matrixes_channels) - 16, 'instrument(s) will be removed!')
314
+
315
+ for e in events_matrix1:
316
+ if e[0] == 'note' and e[3] != 9:
317
+ if e[3] in events_matrixes_channels[:15]:
318
+ if events_matrixes_channels[:15].index(e[3]) < 9:
319
+ e[3] = events_matrixes_channels[:15].index(e[3])
320
+ else:
321
+ e[3] = events_matrixes_channels[:15].index(e[3])+1
322
+ else:
323
+ events_matrix1.remove(e)
324
+
325
+ if e[0] in ['patch_change', 'control_change', 'channel_after_touch', 'key_after_touch', 'pitch_wheel_change'] and e[2] != 9:
326
+ if e[2] in [e % 16 for e in events_matrixes_channels[:15]]:
327
+ if [e % 16 for e in events_matrixes_channels[:15]].index(e[2]) < 9:
328
+ e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2])
329
+ else:
330
+ e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2])+1
331
+ else:
332
+ events_matrix1.remove(e)
333
+
334
+ else:
335
+ events_matrix1 = []
336
+ itrack = 1
337
+
338
+ while itrack < len(score):
339
+ for event in score[itrack]:
340
+ events_matrix1.append(event)
341
+ itrack += 1
342
+
343
+ opus = score2opus([score[0], events_matrix1])
344
+ ms_score = opus2score(to_millisecs(opus))
345
+
346
+ return ms_score
347
+
348
  #------------------------ Other Transformations ---------------------
349
 
350
  def to_millisecs(old_opus=None, desired_time_in_ms=1):
 
1566
  number_of_ticks_per_quarter = 425,
1567
  list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0],
1568
  output_file_name = 'TMIDI-Composition',
1569
+ text_encoding='ISO-8859-1',
1570
+ verbose=True):
1571
 
1572
  '''Tegridy SONG to MIDI Converter
1573
 
 
1584
 
1585
  Project Los Angeles
1586
  Tegridy Code 2020'''
1587
+
1588
+ if verbose:
1589
+ print('Converting to MIDI. Please stand-by...')
1590
 
1591
  output_header = [number_of_ticks_per_quarter,
1592
  [['track_name', 0, bytes(output_signature, text_encoding)]]]
 
1618
  midi_file.write(midi_data)
1619
  midi_file.close()
1620
 
1621
+ if verbose:
1622
+ print('Done! Enjoy! :)')
1623
+
1624
+ return detailed_MIDI_stats
1625
+ ###################################################################################
1626
+
1627
+ def Tegridy_SONG_to_Full_MIDI_Converter(SONG,
1628
+ output_signature = 'Tegridy TMIDI Module',
1629
+ track_name = 'Composition Track',
1630
+ number_of_ticks_per_quarter = 1000,
1631
+ output_file_name = 'TMIDI-Composition',
1632
+ text_encoding='ISO-8859-1',
1633
+ verbose=True):
1634
+
1635
+ '''Tegridy SONG to Full MIDI Converter
1636
+
1637
+ Input: Input SONG in Full TMIDI SONG/MIDI.py Score format
1638
+ Output MIDI Track 0 name / MIDI Signature
1639
+ Output MIDI Track 1 name / Composition track name
1640
+ Number of ticks per quarter for the output MIDI
1641
+ Output file name w/o .mid extension.
1642
+ Optional text encoding if you are working with text_events/lyrics. This is especially useful for Karaoke. Please note that anything but ISO-8859-1 is a non-standard way of encoding text_events according to MIDI specs.
1643
+
1644
+ Output: MIDI File
1645
+ Detailed MIDI stats
1646
+
1647
+ Project Los Angeles
1648
+ Tegridy Code 2023'''
1649
+
1650
+ if verbose:
1651
+ print('Converting to MIDI. Please stand-by...')
1652
+
1653
+ output_header = [number_of_ticks_per_quarter,
1654
+ [['set_tempo', 0, 1000000],
1655
+ ['track_name', 0, bytes(output_signature, text_encoding)]]]
1656
+
1657
+ song_track = [['track_name', 0, bytes(track_name, text_encoding)]]
1658
+
1659
+ output = output_header + [song_track + SONG]
1660
+
1661
+ midi_data = score2midi(output, text_encoding)
1662
+ detailed_MIDI_stats = score2stats(output)
1663
+
1664
+ with open(output_file_name + '.mid', 'wb') as midi_file:
1665
+ midi_file.write(midi_data)
1666
+ midi_file.close()
1667
+
1668
+ if verbose:
1669
+ print('Done! Enjoy! :)')
1670
 
1671
  return detailed_MIDI_stats
1672
 
los_angeles_midi_dataset_maker.py CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Maker.ipynb
8
 
9
- # Los Angeles MIDI Dataset Maker (ver. 3.0)
10
 
11
  ***
12
 
@@ -139,12 +139,12 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
139
  input_files_count += 1
140
 
141
  fn = os.path.basename(f)
142
-
143
  # Filtering out giant MIDIs
144
  file_size = os.path.getsize(f)
145
 
146
  if file_size <= 1000000:
147
-
148
  fdata = open(f, 'rb').read()
149
 
150
  md5sum = hashlib.md5(fdata).hexdigest()
@@ -161,7 +161,7 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
161
  itrack = 1
162
 
163
  while itrack < len(score):
164
- for event in score[itrack]:
165
  events_matrix.append(event)
166
  itrack += 1
167
 
@@ -179,13 +179,18 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
179
 
180
  if str(md5sum) not in all_md5_names:
181
 
 
 
182
  pitches = [n[4] for n in notes]
183
  pitches_sum = sum(pitches)
184
 
185
  if pitches_sum not in all_pitches_sums:
 
 
 
186
  pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1])
187
  pitches_counts = [p[1] for p in pitches_and_counts]
188
-
189
  #=======================================================
190
 
191
  if pitches_counts not in all_pitches_counts:
@@ -196,19 +201,17 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
196
  print('=' * 70)
197
  print('Saving processed data...')
198
  print('=' * 70)
199
- TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
200
  print('=' * 70)
201
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
202
  print('=' * 70)
203
-
204
 
205
  shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name)
206
 
207
- all_md5_names.append(str(md5sum))
208
- all_pitches_sums.append(pitches_sum)
209
  all_pitches_counts.append(pitches_counts)
210
  all_pitches_and_counts.append(pitches_and_counts)
211
-
212
  if files_count % 1000 == 0:
213
  print('=' * 70)
214
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
@@ -218,10 +221,10 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
218
  files_count += 1
219
 
220
  #=======================================================
221
-
222
  except KeyboardInterrupt:
223
  print('Saving current progress and quitting...')
224
- break
225
 
226
  except Exception as ex:
227
  print('WARNING !!!')
@@ -235,11 +238,11 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
235
  print('=' * 70)
236
  print('Saving processed data...')
237
  print('=' * 70)
238
- TMIDIX.Tegridy_Any_Pickle_File_Writer([all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
239
  print('=' * 70)
240
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
241
  print('=' * 70)
242
- print('Done!')
243
  print('=' * 70)
244
 
245
  print('Resulting Stats:')
 
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Maker.ipynb
8
 
9
+ # Los Angeles MIDI Dataset Maker (ver. 3.1)
10
 
11
  ***
12
 
 
139
  input_files_count += 1
140
 
141
  fn = os.path.basename(f)
142
+
143
  # Filtering out giant MIDIs
144
  file_size = os.path.getsize(f)
145
 
146
  if file_size <= 1000000:
147
+
148
  fdata = open(f, 'rb').read()
149
 
150
  md5sum = hashlib.md5(fdata).hexdigest()
 
161
  itrack = 1
162
 
163
  while itrack < len(score):
164
+ for event in score[itrack]:
165
  events_matrix.append(event)
166
  itrack += 1
167
 
 
179
 
180
  if str(md5sum) not in all_md5_names:
181
 
182
+ all_md5_names.append(str(md5sum))
183
+
184
  pitches = [n[4] for n in notes]
185
  pitches_sum = sum(pitches)
186
 
187
  if pitches_sum not in all_pitches_sums:
188
+
189
+ all_pitches_sums.append(pitches_sum)
190
+
191
  pitches_and_counts = sorted([[key, val] for key,val in Counter(pitches).most_common()], reverse=True, key = lambda x: x[1])
192
  pitches_counts = [p[1] for p in pitches_and_counts]
193
+
194
  #=======================================================
195
 
196
  if pitches_counts not in all_pitches_counts:
 
201
  print('=' * 70)
202
  print('Saving processed data...')
203
  print('=' * 70)
204
+ TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
205
  print('=' * 70)
206
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
207
  print('=' * 70)
208
+
209
 
210
  shutil.copy2(f, '/content/Output/'+str(md5name[0])+'/'+md5name)
211
 
 
 
212
  all_pitches_counts.append(pitches_counts)
213
  all_pitches_and_counts.append(pitches_and_counts)
214
+
215
  if files_count % 1000 == 0:
216
  print('=' * 70)
217
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
 
221
  files_count += 1
222
 
223
  #=======================================================
224
+
225
  except KeyboardInterrupt:
226
  print('Saving current progress and quitting...')
227
+ break
228
 
229
  except Exception as ex:
230
  print('WARNING !!!')
 
238
  print('=' * 70)
239
  print('Saving processed data...')
240
  print('=' * 70)
241
+ TMIDIX.Tegridy_Any_Pickle_File_Writer([filez, all_md5_names, all_pitches_sums, all_pitches_and_counts], '/content/Output/all_files_data')
242
  print('=' * 70)
243
  print('Processed so far:', files_count, 'out of', input_files_count, '===', files_count / input_files_count, 'good files ratio')
244
  print('=' * 70)
245
+ print('Done!')
246
  print('=' * 70)
247
 
248
  print('Resulting Stats:')
los_angeles_midi_dataset_metadata_maker.py CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/META-DATA/Los_Angeles_MIDI_Dataset_Metadata_Maker.ipynb
8
 
9
- # Los Angeles MIDI Dataset Metadata Maker (ver. 3.0)
10
 
11
  ***
12
 
@@ -133,34 +133,34 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
133
 
134
  #=======================================================
135
  # START PROCESSING
136
-
137
  opus = TMIDIX.midi2opus(open(f, 'rb').read())
138
-
139
  opus_events_matrix = []
140
-
141
  itrack0 = 1
142
-
143
  while itrack0 < len(opus):
144
- for event in opus[itrack0]:
145
  opus_events_matrix.append(event)
146
  itrack0 += 1
147
-
148
  #=======================================================
149
-
150
  ms_score = TMIDIX.opus2score(TMIDIX.to_millisecs(opus))
151
 
152
  ms_events_matrix = []
153
-
154
  itrack1 = 1
155
-
156
  while itrack1 < len(ms_score):
157
- for event in ms_score[itrack1]:
158
  if event[0] == 'note':
159
  ms_events_matrix.append(event)
160
  itrack1 += 1
161
 
162
  ms_events_matrix.sort(key=lambda x: x[1])
163
-
164
  #=======================================================
165
 
166
  # Convering MIDI to score with MIDI.py module
@@ -170,20 +170,20 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
170
 
171
  events_matrix = []
172
  full_events_matrix = []
173
-
174
  itrack = 1
175
  patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
176
 
177
  while itrack < len(score):
178
- for event in score[itrack]:
179
  if event[0] == 'note' or event[0] == 'patch_change':
180
  events_matrix.append(event)
181
  full_events_matrix.append(event)
182
  itrack += 1
183
-
184
  full_events_matrix.sort(key=lambda x: x[1])
185
  events_matrix.sort(key=lambda x: x[1])
186
-
187
  events_matrix1 = []
188
 
189
  for event in events_matrix:
@@ -194,8 +194,8 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
194
  event.extend([patches[event[3]]])
195
  events_matrix1.append(event)
196
 
197
- if len(events_matrix1) > 32:
198
-
199
  events_matrix1.sort(key=lambda x: x[1])
200
 
201
  for e in events_matrix1:
@@ -207,15 +207,15 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
207
 
208
  pitches_counts = [[y[0],y[1]] for y in Counter([y[4] for y in events_matrix1]).most_common()]
209
  pitches_counts.sort(key=lambda x: x[0], reverse=True)
210
-
211
  patches = sorted([y[6] for y in events_matrix1])
212
  patches_counts = [[y[0], y[1]] for y in Counter(patches).most_common()]
213
  patches_counts.sort(key = lambda x: x[0])
214
-
215
  midi_patches = sorted(list(set([y[3] for y in events_matrix if y[0] == 'patch_change'])))
216
  if len(midi_patches) == 0:
217
  midi_patches = [0]
218
-
219
  times = []
220
  pt = ms_events_matrix[0][1]
221
  start = True
@@ -224,37 +224,37 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
224
  times.append((e[1]-pt))
225
  start = False
226
  pt = e[1]
227
-
228
  times_sum = min(10000000, sum(times))
229
-
230
  durs = [e[2] for e in ms_events_matrix]
231
  vels = [e[5] for e in ms_events_matrix]
232
-
233
  avg_time = int(sum(times) / len(times))
234
  avg_dur = int(sum(durs) / len(durs))
235
  avg_vel = int(sum(vels) / len(vels))
236
-
237
  mode_time = statistics.mode(times)
238
  mode_dur = statistics.mode(durs)
239
  mode_vel = statistics.mode(vels)
240
-
241
  median_time = int(statistics.median(times))
242
  median_dur = int(statistics.median(durs))
243
  median_vel = int(statistics.median(vels))
244
-
245
- text_events_list = ['text_event',
246
- 'text_event_08',
247
- 'text_event_09',
248
- 'text_event_0a',
249
- 'text_event_0b',
250
  'text_event_0c',
251
  'text_event_0d',
252
  'text_event_0e',
253
  'text_event_0f']
254
-
255
  text_events_count = len([e for e in full_events_matrix if e[0] in text_events_list])
256
  lyric_events_count = len([e for e in full_events_matrix if e[0] == 'lyric'])
257
-
258
  chords = []
259
  pe = ms_events_matrix[0]
260
  cho = []
@@ -272,18 +272,18 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
272
  cho.append(e[4] % 12)
273
 
274
  pe = e
275
-
276
  if len(cho) > 0:
277
  chords.append(sorted(cho))
278
 
279
  ms_chords_counts = sorted([[list(key), val] for key,val in Counter([tuple(c) for c in chords if len(c) > 1]).most_common()], reverse=True, key = lambda x: x[1])
280
  if len(ms_chords_counts) == 0:
281
  ms_chords_counts = [[[0, 0], 0]]
282
-
283
  total_number_of_chords = len(set([y[1] for y in events_matrix1]))
284
-
285
  tempo_change_count = len([f for f in full_events_matrix if f[0] == 'set_tempo'])
286
-
287
  thirty_second_note = [e for e in events_matrix1][32]
288
  thirty_second_note_idx = full_events_matrix.index(thirty_second_note)
289
 
@@ -307,7 +307,7 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
307
  data.append(['midi_ticks', score[0]])
308
  data.extend(full_events_matrix[:thirty_second_note_idx])
309
  data.append(full_events_matrix[-1])
310
-
311
  melody_chords_f.append([fn1, data])
312
 
313
  #=======================================================
@@ -330,7 +330,7 @@ for f in tqdm(filez[START_FILE_NUMBER:]):
330
 
331
  except KeyboardInterrupt:
332
  print('Saving current progress and quitting...')
333
- break
334
 
335
  except Exception as ex:
336
  print('WARNING !!!')
@@ -351,7 +351,7 @@ TMIDIX.Tegridy_Any_Pickle_File_Writer(melody_chords_f, '/content/drive/MyDrive/L
351
 
352
  # Displaying resulting processing stats...
353
  print('=' * 70)
354
- print('Done!')
355
  print('=' * 70)
356
 
357
  print('Resulting Stats:')
@@ -388,7 +388,7 @@ for f in tqdm(filez):
388
  print('=' * 70)
389
  print('Loaded file:', f)
390
  print('=' * 70)
391
-
392
  print('Done!')
393
  print('=' * 70)
394
  print('Randomizing metadata entries order...')
 
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/META-DATA/Los_Angeles_MIDI_Dataset_Metadata_Maker.ipynb
8
 
9
+ # Los Angeles MIDI Dataset Metadata Maker (ver. 3.1)
10
 
11
  ***
12
 
 
133
 
134
  #=======================================================
135
  # START PROCESSING
136
+
137
  opus = TMIDIX.midi2opus(open(f, 'rb').read())
138
+
139
  opus_events_matrix = []
140
+
141
  itrack0 = 1
142
+
143
  while itrack0 < len(opus):
144
+ for event in opus[itrack0]:
145
  opus_events_matrix.append(event)
146
  itrack0 += 1
147
+
148
  #=======================================================
149
+
150
  ms_score = TMIDIX.opus2score(TMIDIX.to_millisecs(opus))
151
 
152
  ms_events_matrix = []
153
+
154
  itrack1 = 1
155
+
156
  while itrack1 < len(ms_score):
157
+ for event in ms_score[itrack1]:
158
  if event[0] == 'note':
159
  ms_events_matrix.append(event)
160
  itrack1 += 1
161
 
162
  ms_events_matrix.sort(key=lambda x: x[1])
163
+
164
  #=======================================================
165
 
166
  # Convering MIDI to score with MIDI.py module
 
170
 
171
  events_matrix = []
172
  full_events_matrix = []
173
+
174
  itrack = 1
175
  patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
176
 
177
  while itrack < len(score):
178
+ for event in score[itrack]:
179
  if event[0] == 'note' or event[0] == 'patch_change':
180
  events_matrix.append(event)
181
  full_events_matrix.append(event)
182
  itrack += 1
183
+
184
  full_events_matrix.sort(key=lambda x: x[1])
185
  events_matrix.sort(key=lambda x: x[1])
186
+
187
  events_matrix1 = []
188
 
189
  for event in events_matrix:
 
194
  event.extend([patches[event[3]]])
195
  events_matrix1.append(event)
196
 
197
+ if len(events_matrix1) > 32:
198
+
199
  events_matrix1.sort(key=lambda x: x[1])
200
 
201
  for e in events_matrix1:
 
207
 
208
  pitches_counts = [[y[0],y[1]] for y in Counter([y[4] for y in events_matrix1]).most_common()]
209
  pitches_counts.sort(key=lambda x: x[0], reverse=True)
210
+
211
  patches = sorted([y[6] for y in events_matrix1])
212
  patches_counts = [[y[0], y[1]] for y in Counter(patches).most_common()]
213
  patches_counts.sort(key = lambda x: x[0])
214
+
215
  midi_patches = sorted(list(set([y[3] for y in events_matrix if y[0] == 'patch_change'])))
216
  if len(midi_patches) == 0:
217
  midi_patches = [0]
218
+
219
  times = []
220
  pt = ms_events_matrix[0][1]
221
  start = True
 
224
  times.append((e[1]-pt))
225
  start = False
226
  pt = e[1]
227
+
228
  times_sum = min(10000000, sum(times))
229
+
230
  durs = [e[2] for e in ms_events_matrix]
231
  vels = [e[5] for e in ms_events_matrix]
232
+
233
  avg_time = int(sum(times) / len(times))
234
  avg_dur = int(sum(durs) / len(durs))
235
  avg_vel = int(sum(vels) / len(vels))
236
+
237
  mode_time = statistics.mode(times)
238
  mode_dur = statistics.mode(durs)
239
  mode_vel = statistics.mode(vels)
240
+
241
  median_time = int(statistics.median(times))
242
  median_dur = int(statistics.median(durs))
243
  median_vel = int(statistics.median(vels))
244
+
245
+ text_events_list = ['text_event',
246
+ 'text_event_08',
247
+ 'text_event_09',
248
+ 'text_event_0a',
249
+ 'text_event_0b',
250
  'text_event_0c',
251
  'text_event_0d',
252
  'text_event_0e',
253
  'text_event_0f']
254
+
255
  text_events_count = len([e for e in full_events_matrix if e[0] in text_events_list])
256
  lyric_events_count = len([e for e in full_events_matrix if e[0] == 'lyric'])
257
+
258
  chords = []
259
  pe = ms_events_matrix[0]
260
  cho = []
 
272
  cho.append(e[4] % 12)
273
 
274
  pe = e
275
+
276
  if len(cho) > 0:
277
  chords.append(sorted(cho))
278
 
279
  ms_chords_counts = sorted([[list(key), val] for key,val in Counter([tuple(c) for c in chords if len(c) > 1]).most_common()], reverse=True, key = lambda x: x[1])
280
  if len(ms_chords_counts) == 0:
281
  ms_chords_counts = [[[0, 0], 0]]
282
+
283
  total_number_of_chords = len(set([y[1] for y in events_matrix1]))
284
+
285
  tempo_change_count = len([f for f in full_events_matrix if f[0] == 'set_tempo'])
286
+
287
  thirty_second_note = [e for e in events_matrix1][32]
288
  thirty_second_note_idx = full_events_matrix.index(thirty_second_note)
289
 
 
307
  data.append(['midi_ticks', score[0]])
308
  data.extend(full_events_matrix[:thirty_second_note_idx])
309
  data.append(full_events_matrix[-1])
310
+
311
  melody_chords_f.append([fn1, data])
312
 
313
  #=======================================================
 
330
 
331
  except KeyboardInterrupt:
332
  print('Saving current progress and quitting...')
333
+ break
334
 
335
  except Exception as ex:
336
  print('WARNING !!!')
 
351
 
352
  # Displaying resulting processing stats...
353
  print('=' * 70)
354
+ print('Done!')
355
  print('=' * 70)
356
 
357
  print('Resulting Stats:')
 
388
  print('=' * 70)
389
  print('Loaded file:', f)
390
  print('=' * 70)
391
+
392
  print('Done!')
393
  print('=' * 70)
394
  print('Randomizing metadata entries order...')
los_angeles_midi_dataset_search_and_explore.py CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Search_and_Explore.ipynb
8
 
9
- # Los Angeles MIDI Dataset: Search and Explore (ver. 3.0)
10
 
11
  ***
12
 
@@ -124,7 +124,7 @@ print('Downloading Los Angeles MIDI Dataset...Please wait...')
124
  print('=' * 70)
125
 
126
  hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',
127
- filename='Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip',
128
  repo_type="dataset",
129
  local_dir='/content/LAMD',
130
  local_dir_use_symlinks=False)
@@ -138,7 +138,7 @@ print('=' * 70)
138
 
139
  print('=' * 70)
140
  print('Unzipping Los Angeles MIDI Dataset...Please wait...')
141
- !unzip 'Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip'
142
  print('=' * 70)
143
 
144
  print('Done! Enjoy! :)')
 
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Los_Angeles_MIDI_Dataset_Search_and_Explore.ipynb
8
 
9
+ # Los Angeles MIDI Dataset: Search and Explore (ver. 3.1)
10
 
11
  ***
12
 
 
124
  print('=' * 70)
125
 
126
  hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',
127
+ filename='Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip',
128
  repo_type="dataset",
129
  local_dir='/content/LAMD',
130
  local_dir_use_symlinks=False)
 
138
 
139
  print('=' * 70)
140
  print('Unzipping Los Angeles MIDI Dataset...Please wait...')
141
+ !unzip 'Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip'
142
  print('=' * 70)
143
 
144
  print('Done! Enjoy! :)')
master_midi_dataset_search_and_filter.py CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Extras/Master_MIDI_Dataset_Search_and_Filter.ipynb
8
 
9
- # Master MIDI Dataset Search and Filter (ver. 3.0)
10
 
11
  ***
12
 
@@ -73,7 +73,7 @@ print('Downloading Los Angeles MIDI Dataset...Please wait...')
73
  print('=' * 70)
74
 
75
  hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',
76
- filename='Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip',
77
  repo_type="dataset",
78
  local_dir='/content/Main-MIDI-Dataset',
79
  local_dir_use_symlinks=False)
@@ -87,7 +87,7 @@ print('=' * 70)
87
 
88
  print('=' * 70)
89
  print('Unzipping Los Angeles MIDI Dataset...Please wait...')
90
- !unzip 'Los-Angeles-MIDI-Dataset-Ver-3-0-CC-BY-NC-SA.zip'
91
  print('=' * 70)
92
 
93
  print('Done! Enjoy! :)')
 
6
  Original file is located at
7
  https://colab.research.google.com/github/asigalov61/Los-Angeles-MIDI-Dataset/blob/main/Extras/Master_MIDI_Dataset_Search_and_Filter.ipynb
8
 
9
+ # Master MIDI Dataset Search and Filter (ver. 3.1)
10
 
11
  ***
12
 
 
73
  print('=' * 70)
74
 
75
  hf_hub_download(repo_id='projectlosangeles/Los-Angeles-MIDI-Dataset',
76
+ filename='Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip',
77
  repo_type="dataset",
78
  local_dir='/content/Main-MIDI-Dataset',
79
  local_dir_use_symlinks=False)
 
87
 
88
  print('=' * 70)
89
  print('Unzipping Los Angeles MIDI Dataset...Please wait...')
90
+ !unzip 'Los-Angeles-MIDI-Dataset-Ver-3-1-CC-BY-NC-SA.zip'
91
  print('=' * 70)
92
 
93
  print('Done! Enjoy! :)')