1 Datasets Preparation.ipynb

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   "source": [
    "from matplotlib  import pyplot as plt\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "from functools        import reduce\n",
    "from h5py             import File\n",
    "from glob             import glob\n",
    "from os               import makedirs\n",
    "from os.path          import exists, isdir\n",
    "from pandas           import read_csv\n",
    "from scipy.io.wavfile import read as readWave\n",
    "\n",
    "import numpy       as np\n",
    "import librosa     as lbr\n",
    "\n",
    "from magenta.music.audio_io      import int16_samples_to_float32, crop_samples\n",
    "from magenta.music.midi_io       import midi_file_to_note_sequence\n",
    "from magenta.music.sequences_lib import sequence_to_pianoroll, apply_sustain_control_changes\n",
    "from magenta.models.onsets_frames_transcription.audio_label_data_utils import find_split_points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset: MAESTRO (MIDI and Audio Edited<br>for Synchronous TRacks and Organization)\n",
    "Downloaded from Google Magenta: https://magenta.tensorflow.org/datasets/maestro#download\n",
    "## Warning\n",
    "For some samples last midi note onsets are slightly beyond the duration of the corresponding WAV-audio.\n",
    "\n",
    "\n",
    "# Not used datasets\n",
    "\n",
    "## Not used: MAPS (from Fichiers - Aix-Marseille Université)\n",
    "https://amubox.univ-amu.fr/index.php/s/iNG0xc5Td1Nv4rR\n",
    "\n",
    "### Issue 1 (small dataset and not as natural)\n",
    "From https://arxiv.org/pdf/1810.12247.pdf, Page 4, Section 3 \"Dataset\":\n",
    "\n",
    "`MAPS ... “performances” are not as natural as the MAESTRO performances captured from live performances.  In addition, synthesized audio makes up a large fraction of the MAPS dataset.`\n",
    "\n",
    "### Issue 2 (skipped notes)\n",
    "From https://arxiv.org/pdf/1710.11153.pdf, Page 6, Section 6 \"Need for more data, more rigorous evaluation\":\n",
    "\n",
    "`In addition to the small number of the MAPS Disklavier recordings, we have also noticed several cases where the Disklavier appears to skip some notes played at low velocity. For example, at the beginning of the Beethoven Sonata No. 9, 2nd movement, several Ab notes played with MIDI velocities in the mid-20s are clearly missing from the audio...`\n",
    "\n",
    "### Issue 3 (two chords instead of one)\n",
    "\n",
    "There is an issue with datasets __*\"ENSTDkAm\"*__ & __*\"ENSTDkCl\"*__, subtypes __*\"RAND\"*__ & __*\"UCHO\"*__.  They are assumed to have only one chord per one WAV-file.  But sometimes the chord is split into two onset times in corresponding MIDI and TXT-files, and those two onset times fall into two consecutive time-frames of cqt-transform (or mel-transform).\n",
    "\n",
    "## Not used: MusicNET (from University of Washington Computer Science & Engineering)\n",
    "https://homes.cs.washington.edu/~thickstn/musicnet.html\n",
    "\n",
    "From https://arxiv.org/pdf/1810.12247.pdf, Page 4, Section 3 \"Dataset\":\n",
    "\n",
    "`As discussed in Hawthorne et al. (2018), the alignment between audio and score is not fully accurate.  One advantage of MusicNet is that it contains instruments other than piano` ... `and a wider variety of recording environments.`\n",
    "\n",
    "# Train/Test Split\n",
    "\n",
    "From https://arxiv.org/pdf/1810.12247.pdf, Page 4, Section 3.2 \"Dataset Splitting\":\n",
    "\n",
    "1. `No composition should appear in more than one split.`\n",
    "\n",
    "\n",
    "2. `... proportions should be true globally and also within each composer.  Maintaining these proportions is not always possible because some composers have too few compositions in the dataset.`\n",
    "\n",
    "\n",
    "3. `The validation and test splits should contain a variety of compositions.  Extremely popular compositions performed by many performers should be placed in the training split.`\n",
    "\n",
    "\n",
    "4. `... we recommend using the splits which we have provided.`"
   ]
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     "text": [
      "Tokenization took: 1.00 ms\n",
      "Type conversion took: 2.99 ms\n",
      "Parser memory cleanup took: 0.00 ms\n"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>canonical_composer</th>\n",
       "      <th>canonical_title</th>\n",
       "      <th>split</th>\n",
       "      <th>year</th>\n",
       "      <th>midi_filename</th>\n",
       "      <th>audio_filename</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alban Berg</td>\n",
       "      <td>Sonata Op. 1</td>\n",
       "      <td>train</td>\n",
       "      <td>2017</td>\n",
       "      <td>2017/MIDI-Unprocessed_066_PIANO066_MID--AUDIO-...</td>\n",
       "      <td>2017/MIDI-Unprocessed_066_PIANO066_MID--AUDIO-...</td>\n",
       "      <td>464.649433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alban Berg</td>\n",
       "      <td>Sonata Op. 1</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MI...</td>\n",
       "      <td>759.518471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>24 Preludes Op. 11, No. 13-24</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MI...</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MI...</td>\n",
       "      <td>872.640588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>3 Etudes, Op. 65</td>\n",
       "      <td>test</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MI...</td>\n",
       "      <td>397.857508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>5 Preludes, Op.15</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_07_R1_2009_04-05_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_07_R1_2009_04-05_ORIG_MI...</td>\n",
       "      <td>400.557826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Entragete, Op.63</td>\n",
       "      <td>test</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>163.745830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Etude Op. 2 No.1;  Etudes Op. 8, Nos. 5, 11 an...</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_...</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_...</td>\n",
       "      <td>563.904351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Etude Op. 42, Nos. 4 &amp; 5</td>\n",
       "      <td>validation</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...</td>\n",
       "      <td>136.315302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Etude Op. 8, No. 13</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...</td>\n",
       "      <td>167.085837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Etude in D-flat Major, Op. 8 No. 10</td>\n",
       "      <td>train</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011/MIDI-Unprocessed_15_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>2011/MIDI-Unprocessed_15_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>102.007110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Etudes from Op.8</td>\n",
       "      <td>train</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MI...</td>\n",
       "      <td>550.997045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Fantasy Op. 28 in B Minor</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_11_...</td>\n",
       "      <td>2013/ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_11_...</td>\n",
       "      <td>512.164285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Fantasy in B Minor, Op. 28</td>\n",
       "      <td>train</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011/MIDI-Unprocessed_09_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>2011/MIDI-Unprocessed_09_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>476.806414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Fantasy, Op. 28</td>\n",
       "      <td>train</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>486.857152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Fragilite, Op.51</td>\n",
       "      <td>validation</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>138.421336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Prelude and Nocturne for Left Hand, Op. 9</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MI...</td>\n",
       "      <td>463.605306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 2</td>\n",
       "      <td>test</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MI...</td>\n",
       "      <td>613.737367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 2 in G-sharp Minor, Op. 19 (Complete)</td>\n",
       "      <td>test</td>\n",
       "      <td>2017</td>\n",
       "      <td>2017/MIDI-Unprocessed_079_PIANO079_MID--AUDIO-...</td>\n",
       "      <td>2017/MIDI-Unprocessed_079_PIANO079_MID--AUDIO-...</td>\n",
       "      <td>661.909150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 4 in F-sharp Major ,Op.30</td>\n",
       "      <td>validation</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_03_...</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_03_...</td>\n",
       "      <td>440.110404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5 in F-sharp Minor, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_M...</td>\n",
       "      <td>2004/MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_M...</td>\n",
       "      <td>659.835660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...</td>\n",
       "      <td>707.903940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...</td>\n",
       "      <td>644.840434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_09_R1_2009_01-04_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_09_R1_2009_01-04_ORIG_MI...</td>\n",
       "      <td>706.203888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_19_R1_2009_03-04_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_19_R1_2009_03-04_ORIG_MI...</td>\n",
       "      <td>648.955013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 5, Op. 53</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_07_R1_2008_01-04_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_07_R1_2008_01-04_ORIG_MI...</td>\n",
       "      <td>601.648704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 9</td>\n",
       "      <td>train</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MI...</td>\n",
       "      <td>476.652835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 9</td>\n",
       "      <td>train</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MI...</td>\n",
       "      <td>426.268270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Sonata No. 9, Op. 68</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...</td>\n",
       "      <td>520.139704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Two Impromptus, Op. 14 (Complete)</td>\n",
       "      <td>validation</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>365.655350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Alexander Scriabin</td>\n",
       "      <td>Waltz, Op. 38</td>\n",
       "      <td>validation</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...</td>\n",
       "      <td>319.910204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata K. 457 in C minor, I. Allegro molto</td>\n",
       "      <td>train</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-fro...</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-fro...</td>\n",
       "      <td>228.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1155</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K 333, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_08_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_08_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>299.095588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1156</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K. 281, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011/MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>2011/MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>183.087424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1157</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K. 333, 1st mov.</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_...</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_...</td>\n",
       "      <td>307.326082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K. 333, I. Allegro</td>\n",
       "      <td>train</td>\n",
       "      <td>2017</td>\n",
       "      <td>2017/MIDI-Unprocessed_052_PIANO052_MID--AUDIO-...</td>\n",
       "      <td>2017/MIDI-Unprocessed_052_PIANO052_MID--AUDIO-...</td>\n",
       "      <td>301.940828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K. 570, 1st mov.</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_...</td>\n",
       "      <td>2013/ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_...</td>\n",
       "      <td>261.801287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1160</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in B-flat Major, K.281</td>\n",
       "      <td>train</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MI...</td>\n",
       "      <td>672.153441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in C Major, K 330, I. Allegro moderato</td>\n",
       "      <td>train</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...</td>\n",
       "      <td>257.267708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in C Major, K279</td>\n",
       "      <td>validation</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...</td>\n",
       "      <td>598.585417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in C Minor K457, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>230.639460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in C Minor, K. 457, 1st mov.</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_11_...</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_11_...</td>\n",
       "      <td>239.547036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K 576, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_07_R3_2008_01-05_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_07_R3_2008_01-05_ORIG_MI...</td>\n",
       "      <td>236.252435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K. 284, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011/MIDI-Unprocessed_03_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>2011/MIDI-Unprocessed_03_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>205.236173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1167</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K. 284, First Movement</td>\n",
       "      <td>train</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008/MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>2008/MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MI...</td>\n",
       "      <td>267.495726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K. 576 (Complete)</td>\n",
       "      <td>train</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO...</td>\n",
       "      <td>2014/MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO...</td>\n",
       "      <td>790.820523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K. 576, I - Allegro</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...</td>\n",
       "      <td>214.958385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1170</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K. 576, II - Adagio</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...</td>\n",
       "      <td>2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...</td>\n",
       "      <td>285.362962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1171</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K.311</td>\n",
       "      <td>test</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MI...</td>\n",
       "      <td>792.420415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D Major, K.311</td>\n",
       "      <td>test</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009/MIDI-Unprocessed_14_R1_2009_06-08_ORIG_MI...</td>\n",
       "      <td>2009/MIDI-Unprocessed_14_R1_2009_06-08_ORIG_MI...</td>\n",
       "      <td>910.278203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in D-Major, K. 311, First Movement</td>\n",
       "      <td>test</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011/MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>2011/MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1...</td>\n",
       "      <td>194.098364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1174</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F</td>\n",
       "      <td>train</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_16_R1_2006_01-04_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_16_R1_2006_01-04_ORIG_MI...</td>\n",
       "      <td>1075.489042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F K332</td>\n",
       "      <td>train</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006/MIDI-Unprocessed_06_R1_2006_01-04_ORIG_MI...</td>\n",
       "      <td>2006/MIDI-Unprocessed_06_R1_2006_01-04_ORIG_MI...</td>\n",
       "      <td>901.959568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K 332 (Complete)</td>\n",
       "      <td>train</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...</td>\n",
       "      <td>908.790625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1177</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K 332 (Complete)</td>\n",
       "      <td>train</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...</td>\n",
       "      <td>2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...</td>\n",
       "      <td>832.531250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K. 280, 1st mov.</td>\n",
       "      <td>train</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_...</td>\n",
       "      <td>2013/ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_...</td>\n",
       "      <td>192.605310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K280</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>245.315516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K280</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>241.470442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K280</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...</td>\n",
       "      <td>114.696243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Sonata in F Major, K533</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_SMF_12_01_2004_01-05_ORI...</td>\n",
       "      <td>2004/MIDI-Unprocessed_SMF_12_01_2004_01-05_ORI...</td>\n",
       "      <td>1139.198478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Wolfgang Amadeus Mozart</td>\n",
       "      <td>Twelve Variations, K179 (189a)</td>\n",
       "      <td>train</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_04_R1_2004_01-02_ORIG...</td>\n",
       "      <td>2004/MIDI-Unprocessed_XP_04_R1_2004_01-02_ORIG...</td>\n",
       "      <td>630.266303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1184 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           canonical_composer  \\\n",
       "0                  Alban Berg   \n",
       "1                  Alban Berg   \n",
       "2          Alexander Scriabin   \n",
       "3          Alexander Scriabin   \n",
       "4          Alexander Scriabin   \n",
       "5          Alexander Scriabin   \n",
       "6          Alexander Scriabin   \n",
       "7          Alexander Scriabin   \n",
       "8          Alexander Scriabin   \n",
       "9          Alexander Scriabin   \n",
       "10         Alexander Scriabin   \n",
       "11         Alexander Scriabin   \n",
       "12         Alexander Scriabin   \n",
       "13         Alexander Scriabin   \n",
       "14         Alexander Scriabin   \n",
       "15         Alexander Scriabin   \n",
       "16         Alexander Scriabin   \n",
       "17         Alexander Scriabin   \n",
       "18         Alexander Scriabin   \n",
       "19         Alexander Scriabin   \n",
       "20         Alexander Scriabin   \n",
       "21         Alexander Scriabin   \n",
       "22         Alexander Scriabin   \n",
       "23         Alexander Scriabin   \n",
       "24         Alexander Scriabin   \n",
       "25         Alexander Scriabin   \n",
       "26         Alexander Scriabin   \n",
       "27         Alexander Scriabin   \n",
       "28         Alexander Scriabin   \n",
       "29         Alexander Scriabin   \n",
       "...                       ...   \n",
       "1154  Wolfgang Amadeus Mozart   \n",
       "1155  Wolfgang Amadeus Mozart   \n",
       "1156  Wolfgang Amadeus Mozart   \n",
       "1157  Wolfgang Amadeus Mozart   \n",
       "1158  Wolfgang Amadeus Mozart   \n",
       "1159  Wolfgang Amadeus Mozart   \n",
       "1160  Wolfgang Amadeus Mozart   \n",
       "1161  Wolfgang Amadeus Mozart   \n",
       "1162  Wolfgang Amadeus Mozart   \n",
       "1163  Wolfgang Amadeus Mozart   \n",
       "1164  Wolfgang Amadeus Mozart   \n",
       "1165  Wolfgang Amadeus Mozart   \n",
       "1166  Wolfgang Amadeus Mozart   \n",
       "1167  Wolfgang Amadeus Mozart   \n",
       "1168  Wolfgang Amadeus Mozart   \n",
       "1169  Wolfgang Amadeus Mozart   \n",
       "1170  Wolfgang Amadeus Mozart   \n",
       "1171  Wolfgang Amadeus Mozart   \n",
       "1172  Wolfgang Amadeus Mozart   \n",
       "1173  Wolfgang Amadeus Mozart   \n",
       "1174  Wolfgang Amadeus Mozart   \n",
       "1175  Wolfgang Amadeus Mozart   \n",
       "1176  Wolfgang Amadeus Mozart   \n",
       "1177  Wolfgang Amadeus Mozart   \n",
       "1178  Wolfgang Amadeus Mozart   \n",
       "1179  Wolfgang Amadeus Mozart   \n",
       "1180  Wolfgang Amadeus Mozart   \n",
       "1181  Wolfgang Amadeus Mozart   \n",
       "1182  Wolfgang Amadeus Mozart   \n",
       "1183  Wolfgang Amadeus Mozart   \n",
       "\n",
       "                                        canonical_title       split  year  \\\n",
       "0                                          Sonata Op. 1       train  2017   \n",
       "1                                          Sonata Op. 1       train  2008   \n",
       "2                         24 Preludes Op. 11, No. 13-24       train  2004   \n",
       "3                                      3 Etudes, Op. 65        test  2006   \n",
       "4                                     5 Preludes, Op.15       train  2009   \n",
       "5                                      Entragete, Op.63        test  2009   \n",
       "6     Etude Op. 2 No.1;  Etudes Op. 8, Nos. 5, 11 an...       train  2013   \n",
       "7                              Etude Op. 42, Nos. 4 & 5  validation  2009   \n",
       "8                                   Etude Op. 8, No. 13       train  2009   \n",
       "9                   Etude in D-flat Major, Op. 8 No. 10       train  2011   \n",
       "10                                     Etudes from Op.8       train  2006   \n",
       "11                            Fantasy Op. 28 in B Minor       train  2013   \n",
       "12                           Fantasy in B Minor, Op. 28       train  2011   \n",
       "13                                      Fantasy, Op. 28       train  2014   \n",
       "14                                     Fragilite, Op.51  validation  2009   \n",
       "15            Prelude and Nocturne for Left Hand, Op. 9       train  2008   \n",
       "16                                         Sonata No. 2        test  2006   \n",
       "17     Sonata No. 2 in G-sharp Minor, Op. 19 (Complete)        test  2017   \n",
       "18                 Sonata No. 4 in F-sharp Major ,Op.30  validation  2013   \n",
       "19                Sonata No. 5 in F-sharp Minor, Op. 53       train  2004   \n",
       "20                                 Sonata No. 5, Op. 53       train  2014   \n",
       "21                                 Sonata No. 5, Op. 53       train  2014   \n",
       "22                                 Sonata No. 5, Op. 53       train  2009   \n",
       "23                                 Sonata No. 5, Op. 53       train  2009   \n",
       "24                                 Sonata No. 5, Op. 53       train  2008   \n",
       "25                                         Sonata No. 9       train  2006   \n",
       "26                                         Sonata No. 9       train  2006   \n",
       "27                                 Sonata No. 9, Op. 68       train  2009   \n",
       "28                    Two Impromptus, Op. 14 (Complete)  validation  2014   \n",
       "29                                        Waltz, Op. 38  validation  2014   \n",
       "...                                                 ...         ...   ...   \n",
       "1154         Sonata K. 457 in C minor, I. Allegro molto       train  2015   \n",
       "1155      Sonata in B-flat Major, K 333, First Movement       train  2008   \n",
       "1156     Sonata in B-flat Major, K. 281, First Movement       train  2011   \n",
       "1157           Sonata in B-flat Major, K. 333, 1st mov.       train  2013   \n",
       "1158         Sonata in B-flat Major, K. 333, I. Allegro       train  2017   \n",
       "1159           Sonata in B-flat Major, K. 570, 1st mov.       train  2013   \n",
       "1160                      Sonata in B-flat Major, K.281       train  2009   \n",
       "1161      Sonata in C Major, K 330, I. Allegro moderato       train  2015   \n",
       "1162                            Sonata in C Major, K279  validation  2015   \n",
       "1163             Sonata in C Minor K457, First Movement       train  2008   \n",
       "1164                Sonata in C Minor, K. 457, 1st mov.       train  2013   \n",
       "1165           Sonata in D Major, K 576, First Movement       train  2008   \n",
       "1166          Sonata in D Major, K. 284, First Movement       train  2011   \n",
       "1167          Sonata in D Major, K. 284, First Movement       train  2008   \n",
       "1168               Sonata in D Major, K. 576 (Complete)       train  2014   \n",
       "1169             Sonata in D Major, K. 576, I - Allegro       train  2013   \n",
       "1170             Sonata in D Major, K. 576, II - Adagio       train  2013   \n",
       "1171                           Sonata in D Major, K.311        test  2009   \n",
       "1172                           Sonata in D Major, K.311        test  2009   \n",
       "1173          Sonata in D-Major, K. 311, First Movement        test  2011   \n",
       "1174                                        Sonata in F       train  2006   \n",
       "1175                                   Sonata in F K332       train  2006   \n",
       "1176                Sonata in F Major, K 332 (Complete)       train  2015   \n",
       "1177                Sonata in F Major, K 332 (Complete)       train  2015   \n",
       "1178                Sonata in F Major, K. 280, 1st mov.       train  2013   \n",
       "1179                            Sonata in F Major, K280       train  2004   \n",
       "1180                            Sonata in F Major, K280       train  2004   \n",
       "1181                            Sonata in F Major, K280       train  2004   \n",
       "1182                            Sonata in F Major, K533       train  2004   \n",
       "1183                     Twelve Variations, K179 (189a)       train  2004   \n",
       "\n",
       "                                          midi_filename  \\\n",
       "0     2017/MIDI-Unprocessed_066_PIANO066_MID--AUDIO-...   \n",
       "1     2008/MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MI...   \n",
       "2     2004/MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MI...   \n",
       "3     2006/MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MI...   \n",
       "4     2009/MIDI-Unprocessed_07_R1_2009_04-05_ORIG_MI...   \n",
       "5     2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   \n",
       "6     2013/ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_...   \n",
       "7     2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...   \n",
       "8     2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...   \n",
       "9     2011/MIDI-Unprocessed_15_R1_2011_MID--AUDIO_R1...   \n",
       "10    2006/MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MI...   \n",
       "11    2013/ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_11_...   \n",
       "12    2011/MIDI-Unprocessed_09_R1_2011_MID--AUDIO_R1...   \n",
       "13    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   \n",
       "14    2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   \n",
       "15    2008/MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MI...   \n",
       "16    2006/MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MI...   \n",
       "17    2017/MIDI-Unprocessed_079_PIANO079_MID--AUDIO-...   \n",
       "18    2013/ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_03_...   \n",
       "19    2004/MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_M...   \n",
       "20    2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...   \n",
       "21    2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...   \n",
       "22    2009/MIDI-Unprocessed_09_R1_2009_01-04_ORIG_MI...   \n",
       "23    2009/MIDI-Unprocessed_19_R1_2009_03-04_ORIG_MI...   \n",
       "24    2008/MIDI-Unprocessed_07_R1_2008_01-04_ORIG_MI...   \n",
       "25    2006/MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MI...   \n",
       "26    2006/MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MI...   \n",
       "27    2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   \n",
       "28    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   \n",
       "29    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   \n",
       "...                                                 ...   \n",
       "1154  2015/MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-fro...   \n",
       "1155  2008/MIDI-Unprocessed_08_R1_2008_01-05_ORIG_MI...   \n",
       "1156  2011/MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1...   \n",
       "1157  2013/ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_...   \n",
       "1158  2017/MIDI-Unprocessed_052_PIANO052_MID--AUDIO-...   \n",
       "1159  2013/ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_...   \n",
       "1160  2009/MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MI...   \n",
       "1161  2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...   \n",
       "1162  2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...   \n",
       "1163  2008/MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MI...   \n",
       "1164  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_11_...   \n",
       "1165  2008/MIDI-Unprocessed_07_R3_2008_01-05_ORIG_MI...   \n",
       "1166  2011/MIDI-Unprocessed_03_R1_2011_MID--AUDIO_R1...   \n",
       "1167  2008/MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MI...   \n",
       "1168  2014/MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO...   \n",
       "1169  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...   \n",
       "1170  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...   \n",
       "1171  2009/MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MI...   \n",
       "1172  2009/MIDI-Unprocessed_14_R1_2009_06-08_ORIG_MI...   \n",
       "1173  2011/MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1...   \n",
       "1174  2006/MIDI-Unprocessed_16_R1_2006_01-04_ORIG_MI...   \n",
       "1175  2006/MIDI-Unprocessed_06_R1_2006_01-04_ORIG_MI...   \n",
       "1176  2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...   \n",
       "1177  2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...   \n",
       "1178  2013/ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_...   \n",
       "1179  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   \n",
       "1180  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   \n",
       "1181  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   \n",
       "1182  2004/MIDI-Unprocessed_SMF_12_01_2004_01-05_ORI...   \n",
       "1183  2004/MIDI-Unprocessed_XP_04_R1_2004_01-02_ORIG...   \n",
       "\n",
       "                                         audio_filename     duration  \n",
       "0     2017/MIDI-Unprocessed_066_PIANO066_MID--AUDIO-...   464.649433  \n",
       "1     2008/MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MI...   759.518471  \n",
       "2     2004/MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MI...   872.640588  \n",
       "3     2006/MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MI...   397.857508  \n",
       "4     2009/MIDI-Unprocessed_07_R1_2009_04-05_ORIG_MI...   400.557826  \n",
       "5     2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   163.745830  \n",
       "6     2013/ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_...   563.904351  \n",
       "7     2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...   136.315302  \n",
       "8     2009/MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MI...   167.085837  \n",
       "9     2011/MIDI-Unprocessed_15_R1_2011_MID--AUDIO_R1...   102.007110  \n",
       "10    2006/MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MI...   550.997045  \n",
       "11    2013/ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_11_...   512.164285  \n",
       "12    2011/MIDI-Unprocessed_09_R1_2011_MID--AUDIO_R1...   476.806414  \n",
       "13    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   486.857152  \n",
       "14    2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   138.421336  \n",
       "15    2008/MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MI...   463.605306  \n",
       "16    2006/MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MI...   613.737367  \n",
       "17    2017/MIDI-Unprocessed_079_PIANO079_MID--AUDIO-...   661.909150  \n",
       "18    2013/ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_03_...   440.110404  \n",
       "19    2004/MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_M...   659.835660  \n",
       "20    2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...   707.903940  \n",
       "21    2014/MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO...   644.840434  \n",
       "22    2009/MIDI-Unprocessed_09_R1_2009_01-04_ORIG_MI...   706.203888  \n",
       "23    2009/MIDI-Unprocessed_19_R1_2009_03-04_ORIG_MI...   648.955013  \n",
       "24    2008/MIDI-Unprocessed_07_R1_2008_01-04_ORIG_MI...   601.648704  \n",
       "25    2006/MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MI...   476.652835  \n",
       "26    2006/MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MI...   426.268270  \n",
       "27    2009/MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MI...   520.139704  \n",
       "28    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   365.655350  \n",
       "29    2014/MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO...   319.910204  \n",
       "...                                                 ...          ...  \n",
       "1154  2015/MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-fro...   228.583333  \n",
       "1155  2008/MIDI-Unprocessed_08_R1_2008_01-05_ORIG_MI...   299.095588  \n",
       "1156  2011/MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1...   183.087424  \n",
       "1157  2013/ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_...   307.326082  \n",
       "1158  2017/MIDI-Unprocessed_052_PIANO052_MID--AUDIO-...   301.940828  \n",
       "1159  2013/ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_...   261.801287  \n",
       "1160  2009/MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MI...   672.153441  \n",
       "1161  2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...   257.267708  \n",
       "1162  2015/MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-f...   598.585417  \n",
       "1163  2008/MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MI...   230.639460  \n",
       "1164  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_11_...   239.547036  \n",
       "1165  2008/MIDI-Unprocessed_07_R3_2008_01-05_ORIG_MI...   236.252435  \n",
       "1166  2011/MIDI-Unprocessed_03_R1_2011_MID--AUDIO_R1...   205.236173  \n",
       "1167  2008/MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MI...   267.495726  \n",
       "1168  2014/MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO...   790.820523  \n",
       "1169  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...   214.958385  \n",
       "1170  2013/ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_12_...   285.362962  \n",
       "1171  2009/MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MI...   792.420415  \n",
       "1172  2009/MIDI-Unprocessed_14_R1_2009_06-08_ORIG_MI...   910.278203  \n",
       "1173  2011/MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1...   194.098364  \n",
       "1174  2006/MIDI-Unprocessed_16_R1_2006_01-04_ORIG_MI...  1075.489042  \n",
       "1175  2006/MIDI-Unprocessed_06_R1_2006_01-04_ORIG_MI...   901.959568  \n",
       "1176  2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...   908.790625  \n",
       "1177  2015/MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-fr...   832.531250  \n",
       "1178  2013/ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_...   192.605310  \n",
       "1179  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   245.315516  \n",
       "1180  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   241.470442  \n",
       "1181  2004/MIDI-Unprocessed_XP_14_R1_2004_04_ORIG_MI...   114.696243  \n",
       "1182  2004/MIDI-Unprocessed_SMF_12_01_2004_01-05_ORI...  1139.198478  \n",
       "1183  2004/MIDI-Unprocessed_XP_04_R1_2004_01-02_ORIG...   630.266303  \n",
       "\n",
       "[1184 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataFolder = 'Maestro'\n",
    "\n",
    "NotExists = lambda song, name: not exists('{} {}.npy'.format(song, name))\n",
    "\n",
    "df = read_csv(dataFolder + '\\maestro-v1.0.0.csv', verbose=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mel-transform parameters\n",
    "Don't know why not use Constant-Q transform, but from https://arxiv.org/pdf/1710.11153.pdf, Page 2, Section 3 \"Model Configuration\":\n",
    "\n",
    "`We use librosa` ... `to compute the same input data representation of mel-scaled spectrograms with log amplitude of the input raw audio with 229 logarithmically-spaced frequency bins, a hop length of 512, an FFT window of 2048, and a sample rate of 16kHz.`\n",
    "\n",
    "From https://arxiv.org/pdf/1810.12247.pdf, Page 5, Section 4 \"Piano Transcription\":\n",
    "\n",
    "`switched to HTK frequency spacing (Young et al., 2006) for the mel-frequency spectrogram input.`\n",
    "\n",
    "Mel-frequency values are strange:\n",
    "\n",
    "$f_{min} = 30 Hz$, but the first \"A\" note of 1st octave is *27.5 Hz*\n",
    "\n",
    "$f_{max} = 11 025 Hz$ (librosa default), and it is much higher than the last \"C\" note of 8th octave (*4 186 Hz*).  So, mel-spectrogram will contain lots of high harmonics, and maybe, it will help the CNN-model correctly identify notes in the last octaves.\n",
    "\n",
    "Maybe (don't know) Mel-scaled spectrogram is used instead of Constant-Q transform, because CQT-transform produces equal number of bins for each note, while mel-frequencies are located such that there are more nearby frequencies for higher notes.  So, mel-spectrogram provides more input data for higher octaves, and the CNN-model can transcribe higher notes with better accuracy.  It can help solve the issue with lots of annoying false-positive notes in high octaves.\n",
    "\n",
    "## Additional non-linear logarithmic scaling\n",
    "librosa.power_to_db, ref=1 (default) --> mels decibels are approximately in range *[-40 ... +40]*\n",
    "\n",
    "# MIDI Pre-Processing\n",
    "From https://arxiv.org/pdf/1710.11153.pdf\n",
    "\n",
    "Page 2, Section 2 \"Dataset and Metrics\":\n",
    "\n",
    "`... we first translate “sustain pedal” control changes into longer note durations.  If a note is active when sustain goes on, that note will be extended until either sustain goes off or the same note is played again.`\n",
    "\n",
    "Page 3, Section 3, \"Model Configuration\":\n",
    "\n",
    "`... all onsets will end up spanning exactly two frames.  Labeling only the frame that contains the exact beginning of the onset does not work as well because of possible mis-alignments of the audio and labels.  We experimented with requiring a minimum amount of time a note had to be present in a frame before it was labeled, but found that the optimum value was to include any presence.`\n",
    "\n",
    "# Number of time-frames: 625 + 1 (20 seconds at sample rate of 16 kHz)\n",
    "From https://arxiv.org/pdf/1710.11153.pdf, Page 2, Section 3 \"Model Configuration\":\n",
    "\n",
    "`... we split the training audio into smaller files.  However, when we do this splitting we do not want to cut the audio during notes because the onset detector would miss an onset while the frame detector would still need to predict the note’s presence.  We found that 20 second splits allowed us to achieve a reasonable batch size during training of at least 8, while also forcing splits in only a small number of places where notes are active.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maestro\\2004\\\n",
      "\n",
      "1 of 132\tvalidation\tMaestro\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_05_Track05_wav.wav\n",
      "2 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_06_Track06_wav.wav\n",
      "3 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_08_Track08_wav.wav\n",
      "4 of 132\tvalidation\tMaestro\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_10_Track10_wav.wav\n",
      "5 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_05_R1_2004_01_ORIG_MID--AUDIO_05_R1_2004_02_Track02_wav.wav\n",
      "6 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_05_R1_2004_01_ORIG_MID--AUDIO_05_R1_2004_03_Track03_wav.wav\n",
      "7 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_05_R1_2004_02-03_ORIG_MID--AUDIO_05_R1_2004_06_Track06_wav.wav\n",
      "8 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_MID--AUDIO_07_R1_2004_02_Track02_wav.wav\n",
      "9 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_MID--AUDIO_07_R1_2004_04_Track04_wav.wav\n",
      "10 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_MID--AUDIO_07_R1_2004_06_Track06_wav.wav\n",
      "11 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_07_R1_2004_01_ORIG_MID--AUDIO_07_R1_2004_12_Track12_wav.wav\n",
      "12 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_12_01_2004_01-05_ORIG_MID--AUDIO_12_R1_2004_03_Track03_wav--1.wav\n",
      "13 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_12_01_2004_01-05_ORIG_MID--AUDIO_12_R1_2004_07_Track07_wav.wav\n",
      "14 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_12_01_2004_01-05_ORIG_MID--AUDIO_12_R1_2004_08_Track08_wav.wav\n",
      "15 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_12_01_2004_01-05_ORIG_MID--AUDIO_12_R1_2004_09_Track09_wav.wav\n",
      "16 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_12_01_2004_01-05_ORIG_MID--AUDIO_12_R1_2004_10_Track10_wav.wav\n",
      "17 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_02_Track02_wav.wav\n",
      "18 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_05_Track05_wav.wav\n",
      "19 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_08_Track08_wav.wav\n",
      "20 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_09_Track09_wav.wav\n",
      "21 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_10_Track10_wav.wav\n",
      "22 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_13_01_2004_01-05_ORIG_MID--AUDIO_13_R1_2004_12_Track12_wav.wav\n",
      "23 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_02_Track02_wav.wav\n",
      "24 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_03_Track03_wav.wav\n",
      "25 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_04_Track04_wav.wav\n",
      "26 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_05_Track05_wav.wav\n",
      "27 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_06_Track06_wav.wav\n",
      "28 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_08_Track08_wav.wav\n",
      "29 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_13_Track13_wav.wav\n",
      "30 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-02_ORIG_MID--AUDIO_20_R2_2004_02_Track02_wav.wav\n",
      "31 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-02_ORIG_MID--AUDIO_20_R2_2004_04_Track04_wav.wav\n",
      "32 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-02_ORIG_MID--AUDIO_20_R2_2004_06_Track06_wav.wav\n",
      "33 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-03_ORIG_MID--AUDIO_17_R1_2004_02_Track02_wav--1.wav\n",
      "34 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-03_ORIG_MID--AUDIO_17_R1_2004_02_Track02_wav--2.wav\n",
      "35 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-03_ORIG_MID--AUDIO_17_R1_2004_03_Track03_wav.wav\n",
      "36 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-03_ORIG_MID--AUDIO_17_R1_2004_06_Track06_wav.wav\n",
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      "38 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_03-06_ORIG_MID--AUDIO_20_R2_2004_12_Track12_wav--1.wav\n",
      "39 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_03-06_ORIG_MID--AUDIO_20_R2_2004_12_Track12_wav--2.wav\n",
      "40 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_04_ORIG_MID--AUDIO_17_R1_2004_09_Track09_wav.wav\n",
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      "42 of 132\tvalidation\tMaestro\\2004\\MIDI-Unprocessed_SMF_22_R1_2004_01-04_ORIG_MID--AUDIO_22_R1_2004_03_Track03_wav.wav\n",
      "43 of 132\tvalidation\tMaestro\\2004\\MIDI-Unprocessed_SMF_22_R1_2004_01-04_ORIG_MID--AUDIO_22_R1_2004_05_Track05_wav.wav\n",
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      "67 of 132\tvalidation\tMaestro\\2004\\MIDI-Unprocessed_XP_08_R1_2004_01-02_ORIG_MID--AUDIO_08_R1_2004_02_Track02_wav.wav\n",
      "68 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_08_R1_2004_03_ORIG_MID--AUDIO_08_R1_2004_03_Track03_wav.wav\n",
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      "70 of 132\ttest\tMaestro\\2004\\MIDI-Unprocessed_XP_08_R1_2004_04-06_ORIG_MID--AUDIO_08_R1_2004_05_Track05_wav--1.wav\n",
      "71 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_08_R1_2004_04-06_ORIG_MID--AUDIO_08_R1_2004_05_Track05_wav--2.wav\n",
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      "75 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_09_R1_2004_05_ORIG_MID--AUDIO_09_R1_2004_06_Track06_wav.wav\n",
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     "text": [
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      "113 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_18_R1_2004_01-02_ORIG_MID--AUDIO_18_R1_2004_04_Track04_wav.wav\n",
      "114 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_18_R1_2004_01-02_ORIG_MID--AUDIO_18_R1_2004_05_Track05_wav.wav\n",
      "115 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_18_R1_2004_04_ORIG_MID--AUDIO_18_R1_2004_07_Track07_wav.wav\n",
      "116 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_19_R1_2004_01-02_ORIG_MID--AUDIO_19_R1_2004_01_Track01_wav.wav\n",
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      "118 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_19_R1_2004_01-02_ORIG_MID--AUDIO_19_R1_2004_03_Track03_wav.wav\n",
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      "120 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_19_R2_2004_01_ORIG_MID--AUDIO_19_R2_2004_02_Track02_wav.wav\n",
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      "124 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_20_R2_2004_01_ORIG_MID--AUDIO_20_R1_2004_03_Track03_wav.wav\n",
      "125 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MID--AUDIO_21_R1_2004_01_Track01_wav.wav\n",
      "126 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_21_R1_2004_02_ORIG_MID--AUDIO_21_R1_2004_02_Track02_wav.wav\n",
      "127 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_21_R1_2004_02_ORIG_MID--AUDIO_21_R1_2004_03_Track03_wav.wav\n",
      "128 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_21_R1_2004_03_ORIG_MID--AUDIO_21_R1_2004_04_Track04_wav.wav\n",
      "129 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_01_Track01_wav.wav\n",
      "130 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_02_Track02_wav.wav\n",
      "131 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_03_Track03_wav.wav\n",
      "132 of 132\ttrain\tMaestro\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_04_Track04_wav.wav\n",
      "\n",
      "Maestro\\2006\\\n",
      "\n",
      "1 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_01_Track01_wav.wav\n",
      "2 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_02_Track02_wav.wav\n",
      "3 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_03_Track03_wav.wav\n",
      "4 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_04_Track04_wav.wav\n",
      "5 of 115\tvalidation\tMaestro\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_05_Track05_wav.wav\n",
      "6 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R2_2006_01_ORIG_MID--AUDIO_01_R2_2006_01_Track01_wav.wav\n",
      "7 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R2_2006_01_ORIG_MID--AUDIO_01_R2_2006_02_Track02_wav.wav\n",
      "8 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_01_R2_2006_01_ORIG_MID--AUDIO_01_R2_2006_03_Track03_wav.wav\n",
      "9 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_02_R1_2006_01-04_ORIG_MID--AUDIO_02_R1_2006_01_Track01_wav.wav\n",
      "10 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_02_R1_2006_01-04_ORIG_MID--AUDIO_02_R1_2006_02_Track02_wav.wav\n",
      "11 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_02_R1_2006_01-04_ORIG_MID--AUDIO_02_R1_2006_03_Track03_wav.wav\n",
      "12 of 115\tvalidation\tMaestro\\2006\\MIDI-Unprocessed_03_R1_2006_01-05_ORIG_MID--AUDIO_03_R1_2006_04_Track04_wav.wav\n",
      "13 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_03_R1_2006_01-05_ORIG_MID--AUDIO_03_R1_2006_05_Track05_wav.wav\n",
      "14 of 115\ttrain\tMaestro\\2006\\MIDI-Unprocessed_04_R1_2006_01-04_ORIG_MID--AUDIO_04_R1_2006_01_Track01_wav.wav\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "Maestro\\2008\\\n",
      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "Maestro\\2009\\\n",
      "\n",
      "1 of 125\ttest\tMaestro\\2009\\MIDI-Unprocessed_01_R1_2009_01-04_ORIG_MID--AUDIO_01_R1_2009_01_R1_2009_01_WAV.wav\n",
      "2 of 125\ttrain\tMaestro\\2009\\MIDI-Unprocessed_01_R1_2009_01-04_ORIG_MID--AUDIO_01_R1_2009_01_R1_2009_02_WAV.wav\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "Maestro\\2011\\\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "Maestro\\2013\\\n",
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      "\n",
      "Maestro\\2014\\\n",
      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
      "Maestro\\2015\\\n",
      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "97 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_03_R2_2015_wav--2.wav\n",
      "98 of 129\ttest\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_06_R2_2015_wav--1.wav\n",
      "99 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_06_R2_2015_wav--2.wav\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_06_R2_2015_wav--4.wav\n",
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      "102 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_07_R2_2015_wav--2.wav\n",
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      "104 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_08_R2_2015_wav--1.wav\n",
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      "107 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_11_R2_2015_wav--1.wav\n",
      "108 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_11_R2_2015_wav--2.wav\n",
      "109 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_11_R2_2015_wav--4.wav\n",
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      "123 of 129\ttrain\tMaestro\\2015\\MIDI-Unprocessed_R2_D2-19-21-22_mid--AUDIO-from_mp3_21_R2_2015_wav--1.wav\n",
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      "\n",
      "Maestro\\2017\\\n",
      "\n",
      "1 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_041_PIANO041_MID--AUDIO-split_07-06-17_Piano-e_1-01_wav--1.wav\n",
      "2 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_041_PIANO041_MID--AUDIO-split_07-06-17_Piano-e_1-01_wav--2.wav\n",
      "3 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_041_PIANO041_MID--AUDIO-split_07-06-17_Piano-e_1-01_wav--3.wav\n",
      "4 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_041_PIANO041_MID--AUDIO-split_07-06-17_Piano-e_1-01_wav--4.wav\n",
      "5 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_042_PIANO042_MID--AUDIO-split_07-06-17_Piano-e_1-02_wav--1.wav\n",
      "6 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_042_PIANO042_MID--AUDIO-split_07-06-17_Piano-e_1-02_wav--2.wav\n",
      "7 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_042_PIANO042_MID--AUDIO-split_07-06-17_Piano-e_1-02_wav--3.wav\n",
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      "136 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--1.wav\n",
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      "138 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--3.wav\n",
      "139 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--4.wav\n",
      "140 of 140\ttrain\tMaestro\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--5.wav\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'All piano pieces have been processed'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rate, minSecs, maxSecs, melsMinMin, melsMinMax, melsMeanMin, melsMeanMax, melsMaxMin, melsMaxMax \\\n",
    "    = 16_000, 5, 20, -40, -40, -0, -0, 40, 40\n",
    "nFrames = lbr.time_to_frames(maxSecs, rate) + 1\n",
    "\n",
    "for yearFolder in glob(dataFolder + '\\*\\\\'):\n",
    "    if yearFolder.split('\\\\')[1] in ['train', 'test', 'validation']: continue\n",
    "    print(yearFolder, end='\\n\\n')\n",
    "    for i, song in enumerate(glob(yearFolder + '\\*.wav')):\n",
    "        year, songFile = song.split('\\\\')[1:]\n",
    "        csvRow = df.loc[df['audio_filename'] == '/'.join([year, songFile])]\n",
    "        assert csvRow['year'].to_list()[0] == int(year), 'CSV year is incorrect'\n",
    "        split = csvRow['split'].to_list()\n",
    "        assert len(split) == 1, 'CSV train/test split is incorrect'\n",
    "        split = split[0]\n",
    "        if not isdir('{}/{}/{}'.format(dataFolder, split, year)): makedirs('{}/{}/{}'.format(dataFolder, split, year))\n",
    "        print('{} of {}\\t{}\\t{}'.format(i + 1, len(glob(yearFolder + '\\*.wav')), split, song))\n",
    "\n",
    "        if any(list(map(lambda name: NotExists('{}/{}/{}/{}'.format(dataFolder, split, year, songFile[:-4]), name),\n",
    "                        ['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes']))):\n",
    "            ######################################################################################################\n",
    "            # From https://github.com/tensorflow/magenta/blob/master/magenta/music/audio_io.py\n",
    "            \n",
    "            nativeRate, y = readWave(song)\n",
    "            if y.dtype == np.int16: y = int16_samples_to_float32(y)\n",
    "            elif y.dtype != np.float32: raise AudioIOError('WAV file not 16-bit or 32-bit float PCM, unsupported')\n",
    "            \n",
    "            if y.ndim == 2 and y.shape[1] == 2: y = lbr.to_mono(y.T)\n",
    "            if nativeRate != rate: y = lbr.resample(y, nativeRate, rate)\n",
    "            \n",
    "            ######################################################################################################\n",
    "            # From https://github.com/tensorflow/magenta/blob/master/magenta/models/onsets_frames_transcription/split_audio_and_label_data.py\n",
    "            # def process_record(..., min_length=5, max_length=20, sample_rate=16000,\n",
    "            #     allow_empty_notesequence=False, load_audio_with_librosa=False)\n",
    "            \n",
    "            samples = lbr.util.normalize(y)\n",
    "            sequence = apply_sustain_control_changes(midi_file_to_note_sequence(song[:-3] + 'midi'))\n",
    "            roll = sequence_to_pianoroll(sequence, 1 / lbr.frames_to_time(1, rate), 21, 108,\n",
    "                                         onset_length_ms=32, offset_length_ms=32, onset_mode='length_ms')\n",
    "            splits = [0, sequence.total_time] if split == 'test' else \\\n",
    "                find_split_points(sequence, samples, rate, minSecs, maxSecs)\n",
    "\n",
    "            mels, onsets, offsets, actives, volumes = [], [], [], [], []\n",
    "            for i, (start, end) in enumerate(zip(splits[:-1], splits[1:])):\n",
    "                print('\\tFragment {} of {}'.format(i + 1, len(splits) - 1), end='\\t')\n",
    "                if end - start < minSecs:\n",
    "                    if i not in [0, len(splits) - 2]: print('WARNING: ', end='')\n",
    "                    print('Skipping short sequence < {} seconds'.format(minSecs))\n",
    "                    continue\n",
    "                \n",
    "                # Resampling in crop_wav_data is really slow, and we have already done it once, avoid doing it twice:\n",
    "                newMels = lbr.power_to_db(lbr.feature.melspectrogram(samples if start == 0\n",
    "                        and end == sequence.total_time else crop_samples(samples, rate, start, end - start),\n",
    "                    rate, n_mels=229, fmin=30, htk=True).astype(np.float32).T).astype(np.float16)\n",
    "                newOnsets, newOffsets, newActives, newVolumes = map(lambda arr:arr[\n",
    "                        lbr.time_to_frames(start + lbr.frames_to_time(1, rate) / 2, rate) :\n",
    "                        lbr.time_to_frames(  end + lbr.frames_to_time(1, rate) / 2, rate) + 1],\n",
    "                    [roll.onsets, roll.offsets, roll.active, roll.onset_velocities])\n",
    "                if split != 'test':\n",
    "                    if len(newOnsets) == len(newMels) + 1: newOnsets, newOffsets, newActives, newVolumes \\\n",
    "                        = newOnsets[:-1], newOffsets[:-1], newActives[:-1], newVolumes[:-1]\n",
    "                    elif len(newMels) == len(newOnsets) + 1: newMels = newMels[:-1]\n",
    "                elif len(newOnsets) < len(newMels): newMels = newMels[:len(newOnsets)]\n",
    "                assert split == 'test' or len(newOnsets) == len(newMels), \\\n",
    "                    'Spectrogram duration is different from piano rolls durations'\n",
    "\n",
    "                if not newOnsets.sum():\n",
    "                    if i not in [0, len(splits) - 2]: print('WARNING: ', end='')\n",
    "                    print('Skipping empty sequence')\n",
    "                    continue\n",
    "                try: assert melsMinMin < newMels.min() < melsMinMax and melsMeanMin < newMels.mean() < melsMeanMax \\\n",
    "                    and melsMaxMin < newMels.max() < melsMaxMax, 'Wrong mels decibels range'\n",
    "                except:\n",
    "                    if i == len(splits) - 2 and newMels.min() == newMels.mean() == newMels.max() == -100:\n",
    "                        print('WARNING: Skipping strange sequence with all mels = -100 Db')\n",
    "                        continue\n",
    "#                    else:\n",
    "#                        print(newMels.min(), newMels.mean(), newMels.max())\n",
    "#                        raise\n",
    "\n",
    "                ########################################################################################################\n",
    "                # Unfortunately, magenta.music.sequences_lib.extract_subsequence does not take the correct time interval\n",
    "                # So, we have to manually remove notes which started before the interval:\n",
    "                for note in newActives[0].nonzero()[0]:\n",
    "                    for i, act in enumerate(newActives):\n",
    "                        if newOnsets[i][note] or not act[note]: break\n",
    "                        newActives[i][note] = 0\n",
    "                ########################################################################################################\n",
    "\n",
    "                if split != 'test': newMels, newOnsets, newOffsets, newActives, newVolumes = map(\n",
    "                    lambda arr: np.pad(arr, [(0, nFrames - len(arr)), (0, 0)], 'minimum' if arr is newMels \\\n",
    "                    else 'constant'), [newMels, newOnsets, newOffsets, newActives, newVolumes])\n",
    "                assert newMels.shape[:-1] == newOnsets.shape[:-1] == newOffsets.shape[:-1]        \\\n",
    "                        == newActives.shape[:-1] == newVolumes.shape[:-1]                          \\\n",
    "                    and newOnsets.shape == newOffsets.shape == newActives.shape == newVolumes.shape \\\n",
    "                    and newOnsets.shape[1] == 88 and newMels.shape[1] == 229, 'Wrong data shape'\n",
    "                mels, onsets, offsets, actives, volumes = map(lambda arr, newArr: arr + [newArr],\n",
    "                    [mels, onsets, offsets, actives, volumes], [newMels, newOnsets, newOffsets, newActives, newVolumes])\n",
    "                print()\n",
    "            \n",
    "            for name, arr in zip(['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes'],\n",
    "                                 [mels, onsets, offsets, actives, volumes]):\n",
    "                np.save('{}/{}/{}/{} {}'.format(dataFolder, split, year, songFile[:-4], name), arr)\n",
    "    print()\n",
    "'All piano pieces have been processed'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train\n",
      "\t 2004\n",
      "\n",
      "1 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_06_Track06_wav\n",
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     ]
    },
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     "output_type": "stream",
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      "110 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_21_R1_2004_01_ORIG_MID--AUDIO_21_R1_2004_01_Track01_wav\n",
      "111 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_21_R1_2004_02_ORIG_MID--AUDIO_21_R1_2004_02_Track02_wav\n",
      "112 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_21_R1_2004_02_ORIG_MID--AUDIO_21_R1_2004_03_Track03_wav\n",
      "113 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_21_R1_2004_03_ORIG_MID--AUDIO_21_R1_2004_04_Track04_wav\n",
      "114 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_01_Track01_wav\n",
      "115 of 117\tMaestro\\train\\2004\\MIDI-Unprocessed_XP_22_R2_2004_01_ORIG_MID--AUDIO_22_R2_2004_02_Track02_wav\n",
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      "\n",
      " 16222 samples\n",
      "Mels decibels           in range [-86 ... -32 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0033 ... 0.98]\n",
      "\n",
      "\t 2006\n",
      "\n",
      "1 of 87\tMaestro\\train\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_01_Track01_wav\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "85 of 87\tMaestro\\train\\2006\\MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MID--AUDIO_24_R1_2006_03_Track03_wav\n",
      "86 of 87\tMaestro\\train\\2006\\MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MID--AUDIO_24_R1_2006_04_Track04_wav\n",
      "87 of 87\tMaestro\\train\\2006\\MIDI-Unprocessed_24_R1_2006_01-05_ORIG_MID--AUDIO_24_R1_2006_05_Track05_wav\n",
      "\n",
      " 15904 samples\n",
      "Mels decibels           in range [-89 ... -32 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0032 ... 0.99]\n",
      "\n",
      "\t 2008\n",
      "\n",
      "1 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MID--AUDIO_01_R1_2008_wav--1\n",
      "2 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MID--AUDIO_01_R1_2008_wav--3\n",
      "3 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MID--AUDIO_02_R1_2008_wav--1\n",
      "4 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MID--AUDIO_02_R1_2008_wav--2\n",
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      "8 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R2_2008_01-05_ORIG_MID--AUDIO_02_R2_2008_wav--4\n",
      "9 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R2_2008_01-05_ORIG_MID--AUDIO_02_R2_2008_wav--5\n",
      "10 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R3_2008_01-03_ORIG_MID--AUDIO_02_R3_2008_wav--1\n",
      "11 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_02_R3_2008_01-03_ORIG_MID--AUDIO_02_R3_2008_wav--3\n",
      "12 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R1_2008_01-04_ORIG_MID--AUDIO_03_R1_2008_wav--1\n",
      "13 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R1_2008_01-04_ORIG_MID--AUDIO_03_R1_2008_wav--2\n",
      "14 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R1_2008_01-04_ORIG_MID--AUDIO_03_R1_2008_wav--3\n",
      "15 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MID--AUDIO_03_R2_2008_wav--2\n",
      "16 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MID--AUDIO_03_R2_2008_wav--3\n",
      "17 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_03_R3_2008_01-03_ORIG_MID--AUDIO_03_R3_2008_wav--1\n",
      "18 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R1_2008_01-04_ORIG_MID--AUDIO_04_R1_2008_wav--1\n",
      "19 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R1_2008_01-04_ORIG_MID--AUDIO_04_R1_2008_wav--2\n",
      "20 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R1_2008_01-04_ORIG_MID--AUDIO_04_R1_2008_wav--4\n",
      "21 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R2_2008_01-04_ORIG_MID--AUDIO_04_R2_2008_wav--1\n",
      "22 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R2_2008_01-04_ORIG_MID--AUDIO_04_R2_2008_wav--4\n",
      "23 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--1\n",
      "24 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--2\n",
      "25 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--5\n",
      "26 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--6\n",
      "27 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_05_R1_2008_01-04_ORIG_MID--AUDIO_05_R1_2008_wav--1\n",
      "28 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_05_R1_2008_01-04_ORIG_MID--AUDIO_05_R1_2008_wav--2\n",
      "29 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_05_R1_2008_01-04_ORIG_MID--AUDIO_05_R1_2008_wav--4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_06_R1_2008_01-04_ORIG_MID--AUDIO_06_R1_2008_wav--1\n",
      "31 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_06_R1_2008_01-04_ORIG_MID--AUDIO_06_R1_2008_wav--2\n",
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      "33 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_06_R2_2008_01-05_ORIG_MID--AUDIO_06_R2_2008_wav--1\n",
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      "36 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_06_R2_2008_01-05_ORIG_MID--AUDIO_06_R2_2008_wav--5\n",
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      "53 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_08_R3_2008_01-05_ORIG_MID--AUDIO_08_R3_2008_wav--1\n",
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      "56 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_09_R1_2008_01-05_ORIG_MID--AUDIO_09_R1_2008_wav--1\n",
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      "63 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_09_R2_2008_01-05_ORIG_MID--AUDIO_09_R2_2008_wav--5\n",
      "64 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_09_R3_2008_01-07_ORIG_MID--AUDIO_09_R3_2008_wav--3\n",
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      "66 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_09_R3_2008_01-07_ORIG_MID--AUDIO_09_R3_2008_wav--5\n",
      "67 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_09_R3_2008_01-07_ORIG_MID--AUDIO_09_R3_2008_wav--7\n",
      "68 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R1_2008_01-04_ORIG_MID--AUDIO_10_R1_2008_wav--1\n",
      "69 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R1_2008_01-04_ORIG_MID--AUDIO_10_R1_2008_wav--3\n",
      "70 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R1_2008_01-04_ORIG_MID--AUDIO_10_R1_2008_wav--4\n",
      "71 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R2_2008_01-05_ORIG_MID--AUDIO_10_R2_2008_wav--1\n",
      "72 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R2_2008_01-05_ORIG_MID--AUDIO_10_R2_2008_wav--2\n",
      "73 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R2_2008_01-05_ORIG_MID--AUDIO_10_R2_2008_wav--3\n",
      "74 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R3_2008_01-05_ORIG_MID--AUDIO_10_R3_2008_wav--1\n",
      "75 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R3_2008_01-05_ORIG_MID--AUDIO_10_R3_2008_wav--3\n",
      "76 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R3_2008_01-05_ORIG_MID--AUDIO_10_R3_2008_wav--4\n",
      "77 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_10_R3_2008_01-05_ORIG_MID--AUDIO_10_R3_2008_wav--5\n",
      "78 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R1_2008_01-04_ORIG_MID--AUDIO_11_R1_2008_wav--1\n",
      "79 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R1_2008_01-04_ORIG_MID--AUDIO_11_R1_2008_wav--3\n",
      "80 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R1_2008_01-04_ORIG_MID--AUDIO_11_R1_2008_wav--4\n",
      "81 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R2_2008_01-05_ORIG_MID--AUDIO_11_R2_2008_wav--2\n",
      "82 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R2_2008_01-05_ORIG_MID--AUDIO_11_R2_2008_wav--3\n",
      "83 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R2_2008_01-05_ORIG_MID--AUDIO_11_R2_2008_wav--5\n",
      "84 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R3_2008_01-04_ORIG_MID--AUDIO_11_R3_2008_wav--1\n",
      "85 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R3_2008_01-04_ORIG_MID--AUDIO_11_R3_2008_wav--2\n",
      "86 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_11_R3_2008_01-04_ORIG_MID--AUDIO_11_R3_2008_wav--4\n",
      "87 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R1_2008_01-04_ORIG_MID--AUDIO_12_R1_2008_wav--2\n",
      "88 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R1_2008_01-04_ORIG_MID--AUDIO_12_R1_2008_wav--3\n",
      "89 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R2_2008_01-04_ORIG_MID--AUDIO_12_R2_2008_wav--1\n",
      "90 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R2_2008_01-04_ORIG_MID--AUDIO_12_R2_2008_wav--3\n",
      "91 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R3_2008_01-04_ORIG_MID--AUDIO_12_R3_2008_wav--1\n",
      "92 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_12_R3_2008_01-04_ORIG_MID--AUDIO_12_R3_2008_wav--2\n",
      "93 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_13_R1_2008_01-04_ORIG_MID--AUDIO_13_R1_2008_wav--1\n",
      "94 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_13_R1_2008_01-04_ORIG_MID--AUDIO_13_R1_2008_wav--2\n",
      "95 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_13_R1_2008_01-04_ORIG_MID--AUDIO_13_R1_2008_wav--4\n",
      "96 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MID--AUDIO_14_R1_2008_wav--1\n",
      "97 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MID--AUDIO_14_R1_2008_wav--2\n",
      "98 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MID--AUDIO_14_R1_2008_wav--3\n",
      "99 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_14_R1_2008_01-05_ORIG_MID--AUDIO_14_R1_2008_wav--4\n",
      "100 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_15_R1_2008_01-04_ORIG_MID--AUDIO_15_R1_2008_wav--1\n",
      "101 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_15_R1_2008_01-04_ORIG_MID--AUDIO_15_R1_2008_wav--2\n",
      "102 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_15_R1_2008_01-04_ORIG_MID--AUDIO_15_R1_2008_wav--4\n",
      "103 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_15_R2_2008_01-04_ORIG_MID--AUDIO_15_R2_2008_wav--3\n",
      "104 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_16_R1_2008_01-04_ORIG_MID--AUDIO_16_R1_2008_wav--1\n",
      "105 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_16_R1_2008_01-04_ORIG_MID--AUDIO_16_R1_2008_wav--2\n",
      "106 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_16_R1_2008_01-04_ORIG_MID--AUDIO_16_R1_2008_wav--4\n",
      "107 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_17_R1_2008_01-04_ORIG_MID--AUDIO_17_R1_2008_wav--1\n",
      "108 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_17_R1_2008_01-04_ORIG_MID--AUDIO_17_R1_2008_wav--2\n",
      "109 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_17_R2_2008_01-04_ORIG_MID--AUDIO_17_R2_2008_wav--2\n",
      "110 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_17_R2_2008_01-04_ORIG_MID--AUDIO_17_R2_2008_wav--3\n",
      "111 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_18_R1_2008_01-04_ORIG_MID--AUDIO_18_R1_2008_wav--1\n",
      "112 of 112\tMaestro\\train\\2008\\MIDI-Unprocessed_18_R1_2008_01-04_ORIG_MID--AUDIO_18_R1_2008_wav--4\n",
      "\n",
      " 9022 samples\n",
      "Mels decibels           in range [-88 ... -29 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0038 ... 0.99]\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t 2009\n",
      "\n",
      "1 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_01_R1_2009_01-04_ORIG_MID--AUDIO_01_R1_2009_01_R1_2009_02_WAV\n",
      "2 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_02_R1_2009_01-02_ORIG_MID--AUDIO_02_R1_2009_02_R1_2009_01_WAV\n",
      "3 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_02_R1_2009_01-02_ORIG_MID--AUDIO_02_R1_2009_02_R1_2009_02_WAV\n",
      "4 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MID--AUDIO_02_R1_2009_02_R1_2009_05_WAV\n",
      "5 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_03_R1_2009_01-02_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_02_WAV\n",
      "6 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_05_WAV\n",
      "7 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_06_WAV\n",
      "8 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_07_WAV\n",
      "9 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_08_WAV\n",
      "10 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_04_R1_2009_04-06_ORIG_MID--AUDIO_04_R1_2009_04_R1_2009_05_WAV\n",
      "11 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_04_R1_2009_04-06_ORIG_MID--AUDIO_04_R1_2009_04_R1_2009_06_WAV\n",
      "12 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MID--AUDIO_05_R1_2009_05_R1_2009_02_WAV\n",
      "13 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_05_R1_2009_03-05_ORIG_MID--AUDIO_05_R1_2009_05_R1_2009_03_WAV\n",
      "14 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_06_R1_2009_03-07_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_03_WAV\n",
      "15 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_06_R1_2009_03-07_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_04_WAV\n",
      "16 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_06_R1_2009_03-07_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_05_WAV\n",
      "17 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_06_R1_2009_03-07_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_06_WAV\n",
      "18 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_06_R1_2009_03-07_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_07_WAV\n",
      "19 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_07_R1_2009_04-05_ORIG_MID--AUDIO_07_R1_2009_07_R1_2009_04_WAV\n",
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      "26 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MID--AUDIO_08_R1_2009_08_R1_2009_04_WAV\n",
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      "64 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_16_R1_2009_01-02_ORIG_MID--AUDIO_16_R1_2009_16_R1_2009_01_WAV\n",
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      "66 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_16_R1_2009_03-06_ORIG_MID--AUDIO_16_R1_2009_16_R1_2009_03_WAV\n",
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      "68 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_16_R2_2009_01_ORIG_MID--AUDIO_16_R2_2009_16_R2_2009_02_WAV\n",
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      "78 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_18_R1_2009_01-03_ORIG_MID--AUDIO_18_R1_2009_18_R1_2009_01_WAV\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_18_R1_2009_01-03_ORIG_MID--AUDIO_18_R1_2009_18_R1_2009_02_WAV\n",
      "80 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_18_R1_2009_04_ORIG_MID--AUDIO_18_R1_2009_18_R1_2009_04_WAV\n",
      "81 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R1_2009_01-02_ORIG_MID--AUDIO_19_R1_2009_19_R1_2009_02_WAV\n",
      "82 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R1_2009_03-04_ORIG_MID--AUDIO_19_R1_2009_19_R1_2009_04_WAV\n",
      "83 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R2_2009_01_ORIG_MID--AUDIO_19_R2_2009_19_R2_2009_01_WAV\n",
      "84 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R2_2009_01_ORIG_MID--AUDIO_19_R2_2009_19_R2_2009_02_WAV\n",
      "85 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R2_2009_01_ORIG_MID--AUDIO_19_R2_2009_19_R2_2009_03_WAV\n",
      "86 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_19_R2_2009_01_ORIG_MID--AUDIO_19_R2_2009_19_R2_2009_04_WAV\n",
      "87 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_20_R1_2009_01-05_ORIG_MID--AUDIO_20_R1_2009_20_R1_2009_01_WAV\n",
      "88 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_20_R1_2009_06-07_ORIG_MID--AUDIO_20_R1_2009_20_R1_2009_06_WAV\n",
      "89 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R1_2009_01-03_ORIG_MID--AUDIO_21_R1_2009_21_R1_2009_01_WAV\n",
      "90 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R1_2009_01-03_ORIG_MID--AUDIO_21_R1_2009_21_R1_2009_03_WAV\n",
      "91 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R1_2009_04_ORIG_MID--AUDIO_21_R1_2009_21_R1_2009_04_WAV\n",
      "92 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R2_2009_01_ORIG_MID--AUDIO_21_R2_2009_21_R2_2009_01_WAV\n",
      "93 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R2_2009_01_ORIG_MID--AUDIO_21_R2_2009_21_R2_2009_02_WAV\n",
      "94 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R2_2009_01_ORIG_MID--AUDIO_21_R2_2009_21_R2_2009_03_WAV\n",
      "95 of 95\tMaestro\\train\\2009\\MIDI-Unprocessed_21_R2_2009_01_ORIG_MID--AUDIO_21_R2_2009_21_R2_2009_04_WAV\n",
      "\n",
      " 13972 samples\n",
      "Mels decibels           in range [-85 ... -31 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0033 ... 0.99]\n",
      "\n",
      "\t 2011\n",
      "\n",
      "1 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_01_R1_2011_MID--AUDIO_R1-D1_02_Track02_wav\n",
      "2 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_01_R1_2011_MID--AUDIO_R1-D1_03_Track03_wav\n",
      "3 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_01_R1_2011_MID--AUDIO_R1-D1_04_Track04_wav\n",
      "4 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_01_R1_2011_MID--AUDIO_R1-D1_05_Track05_wav\n",
      "5 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1-D1_08_Track08_wav\n",
      "6 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1-D1_09_Track09_wav\n",
      "7 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_02_R1_2011_MID--AUDIO_R1-D1_10_Track10_wav\n",
      "8 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_02_R2_2011_MID--AUDIO_R2-D1_02_Track02_wav\n",
      "9 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_02_R2_2011_MID--AUDIO_R2-D1_03_Track03_wav\n",
      "10 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_03_R1_2011_MID--AUDIO_R1-D1_15_Track15_wav\n",
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      "24 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_04_R1_2011_MID--AUDIO_R1-D2_02_Track02_wav\n",
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      "35 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_05_R1_2011_MID--AUDIO_R1-D2_12_Track12_wav\n",
      "36 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_06_R1_2011_MID--AUDIO_R1-D2_14_Track14_wav\n",
      "37 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_06_R1_2011_MID--AUDIO_R1-D2_15_Track15_wav\n",
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      "42 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_06_R3_2011_MID--AUDIO_R3-D3_02_Track02_wav\n",
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      "53 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_09_R1_2011_MID--AUDIO_R1-D3_15_Track15_wav\n",
      "54 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_09_R2_2011_MID--AUDIO_R2-D3_04_Track04_wav\n",
      "55 of 139\tMaestro\\train\\2011\\MIDI-Unprocessed_10_R1_2011_MID--AUDIO_R1-D4_02_Track02_wav\n",
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      "\n",
      " 10373 samples\n",
      "Mels decibels           in range [-79 ... -27 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0038 ... 0.99]\n",
      "\n",
      "\t 2013\n",
      "\n",
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      "68 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_17_R1_2013_wav--2\n",
      "69 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_17_R1_2013_wav--3\n",
      "70 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_17_R1_2013_wav--4\n",
      "71 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_R1_2013_wav--1\n",
      "72 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_R1_2013_wav--3\n",
      "73 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_R1_2013_wav--4\n",
      "74 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_18_R1_2013_wav--5\n",
      "75 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_19_R1_2013_wav--1\n",
      "76 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_19_R1_2013_wav--3\n",
      "77 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_08_R2_2013_wav--1\n",
      "78 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_08_R2_2013_wav--2\n",
      "79 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_08_R2_2013_wav--3\n",
      "80 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_11_R2_2013_wav--1\n",
      "81 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_11_R2_2013_wav--3\n",
      "82 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_12_R2_2013_wav--1\n",
      "83 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_12_R2_2013_wav--2\n",
      "84 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_12_R2_2013_wav--3\n",
      "85 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_14_R2_2013_wav--1\n",
      "86 of 108\tMaestro\\train\\2013\\ORIG-MIDI_02_7_8_13_Group__MID--AUDIO_14_R2_2013_wav--4\n",
      "87 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_15_R3_2013_wav--1\n",
      "88 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_R3_2013_wav--1\n",
      "89 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_R3_2013_wav--2\n",
      "90 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_17_R3_2013_wav--3\n",
      "91 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_18_R3_2013_wav--1\n",
      "92 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_18_R3_2013_wav--2\n",
      "93 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_18_R3_2013_wav--3\n",
      "94 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_R1_2013_wav--1\n",
      "95 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_R1_2013_wav--2\n",
      "96 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_R1_2013_wav--3\n",
      "97 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_09_R1_2013_wav--4\n",
      "98 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_10_R1_2013_wav--1\n",
      "99 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_10_R1_2013_wav--2\n",
      "100 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_10_R1_2013_wav--3\n",
      "101 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_15_R2_2013_wav--1\n",
      "102 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_17_R2_2013_wav--2\n",
      "103 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_17_R2_2013_wav--3\n",
      "104 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_18_R2_2013_wav--1\n",
      "105 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_18_R2_2013_wav--3\n",
      "106 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_18_R2_2013_wav--4\n",
      "107 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_R2_2013_wav--1\n",
      "108 of 108\tMaestro\\train\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_R2_2013_wav--3\n",
      "\n",
      " 9379 samples\n",
      "Mels decibels           in range [-92 ... -30 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0037 ... 0.99]\n",
      "\n",
      "\t 2014\n",
      "\n",
      "1 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_01_R1_2014_wav--1\n",
      "2 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_01_R1_2014_wav--3\n",
      "3 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_02_R1_2014_wav--2\n",
      "4 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_02_R1_2014_wav--5\n",
      "5 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_03_R1_2014_wav--2\n",
      "6 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_03_R1_2014_wav--3\n",
      "7 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_03_R1_2014_wav--5\n",
      "8 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_03_R1_2014_wav--6\n",
      "9 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_04_R1_2014_wav--1\n",
      "10 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_04_R1_2014_wav--4\n",
      "11 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_04_R1_2014_wav--5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--1\n",
      "13 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--2\n",
      "14 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--4\n",
      "15 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--7\n",
      "16 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--8\n",
      "17 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_04_R2_2014_wav\n",
      "18 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_07_R2_2014_wav\n",
      "19 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_08_R2_2014_wav\n",
      "20 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_10_R2_2014_wav\n",
      "21 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_12_R2_2014_wav\n",
      "22 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_15_R2_2014_wav\n",
      "23 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-07-08-10-12-15-17_R2_2014_MID--AUDIO_17_R2_2014_wav\n",
      "24 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-08-12_R3_2014_MID--AUDIO_04_R3_2014_wav--1\n",
      "25 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-08-12_R3_2014_MID--AUDIO_04_R3_2014_wav--2\n",
      "26 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_04-08-12_R3_2014_MID--AUDIO_08_R3_2014_wav\n",
      "27 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_06_R1_2014_wav--1\n",
      "28 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_06_R1_2014_wav--2\n",
      "29 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_06_R1_2014_wav--3\n",
      "30 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--3\n",
      "31 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--4\n",
      "32 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--5\n",
      "33 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--6\n",
      "34 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--7\n",
      "35 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_08_R1_2014_wav--2\n",
      "36 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_08_R1_2014_wav--3\n",
      "37 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_09_R1_2014_wav--1\n",
      "38 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_09_R1_2014_wav--2\n",
      "39 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_09_R1_2014_wav--3\n",
      "40 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_10_R1_2014_wav--2\n",
      "41 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_10_R1_2014_wav--3\n",
      "42 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_10_R1_2014_wav--4\n",
      "43 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_10_R1_2014_wav--5\n",
      "44 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_11_R1_2014_wav--1\n",
      "45 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_11_R1_2014_wav--2\n",
      "46 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_12_R1_2014_wav--1\n",
      "47 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_12_R1_2014_wav--2\n",
      "48 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_13_R1_2014_wav--3\n",
      "49 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_13_R1_2014_wav--6\n",
      "50 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_14_R1_2014_wav--1\n",
      "51 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--5\n",
      "52 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--6\n",
      "53 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_16_R1_2014_wav--1\n",
      "54 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_16_R1_2014_wav--3\n",
      "55 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_17_R1_2014_wav--1\n",
      "56 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_17_R1_2014_wav--2\n",
      "57 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_18_R1_2014_wav--2\n",
      "58 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_18_R1_2014_wav--3\n",
      "59 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_18_R1_2014_wav--4\n",
      "60 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_18_R1_2014_wav--5\n",
      "61 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-20-21_R2_2014_MID--AUDIO_19_R2_2014_wav\n",
      "62 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-20-21_R2_2014_MID--AUDIO_20_R2_2014_wav\n",
      "63 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-20-21_R2_2014_MID--AUDIO_21_R2_2014_wav\n",
      "64 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-20_R1_2014_MID--AUDIO_19_R1_2014_wav--1\n",
      "65 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-20_R1_2014_MID--AUDIO_20_R1_2014_wav--1\n",
      "66 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-21_R3_2014_MID--AUDIO_21_R3_2014_wav--1\n",
      "67 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_19-21_R3_2014_MID--AUDIO_21_R3_2014_wav--2\n",
      "68 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--1\n",
      "69 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--2\n",
      "70 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--3\n",
      "71 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--4\n",
      "72 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--6\n",
      "73 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--7\n",
      "74 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_21_R1_2014_wav--8\n",
      "75 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_22_R1_2014_wav--4\n",
      "76 of 76\tMaestro\\train\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_22_R1_2014_wav--5\n",
      "\n",
      " 15185 samples\n",
      "Mels decibels           in range [-91 ... -31 ... 39]\n",
      "Midi normalized volumes in range [0.0 ... 0.0032 ... 0.99]\n",
      "\n",
      "\t 2015\n",
      "\n",
      "1 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_01_R1_2015_wav--1\n",
      "2 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_01_R1_2015_wav--3\n",
      "3 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_01_R1_2015_wav--5\n",
      "4 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--1\n",
      "5 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--2\n",
      "6 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--4\n",
      "7 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--5\n",
      "8 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--6\n",
      "9 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_03_R1_2015_wav--1\n",
      "10 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_03_R1_2015_wav--2\n",
      "11 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_03_R1_2015_wav--4\n",
      "12 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_04_R1_2015_wav--1\n",
      "13 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_04_R1_2015_wav--3\n",
      "14 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_04_R1_2015_wav--4\n",
      "15 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_05_R1_2015_wav--1\n",
      "16 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_05_R1_2015_wav--2\n",
      "17 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_05_R1_2015_wav--4\n",
      "18 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--1\n",
      "19 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--2\n",
      "20 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--3\n",
      "21 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--4\n",
      "22 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--5\n",
      "23 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_06_R1_2015_wav--6\n",
      "24 of 107\tMaestro\\train\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_07_R1_2015_wav--1\n"
     ]
    },
    {
     "name": "stdout",
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      "\n",
      " 9390 samples\n",
      "Mels decibels           in range [-84 ... -29 ... 38]\n",
      "Midi normalized volumes in range [0.0 ... 0.0036 ... 0.99]\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t 2017\n",
      "\n",
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      "51 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_056_PIANO056_MID--AUDIO-split_07-07-17_Piano-e_1-05_wav--3\n",
      "52 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_056_PIANO056_MID--AUDIO-split_07-07-17_Piano-e_1-05_wav--4\n",
      "53 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_057_PIANO057_MID--AUDIO-split_07-07-17_Piano-e_1-07_wav--1\n",
      "54 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_057_PIANO057_MID--AUDIO-split_07-07-17_Piano-e_1-07_wav--2\n",
      "55 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_057_PIANO057_MID--AUDIO-split_07-07-17_Piano-e_1-07_wav--4\n",
      "56 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_057_PIANO057_MID--AUDIO-split_07-07-17_Piano-e_1-07_wav--5\n",
      "57 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_058_PIANO058_MID--AUDIO-split_07-07-17_Piano-e_2-02_wav--1\n",
      "58 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_058_PIANO058_MID--AUDIO-split_07-07-17_Piano-e_2-02_wav--2\n",
      "59 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_058_PIANO058_MID--AUDIO-split_07-07-17_Piano-e_2-02_wav--4\n",
      "60 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_058_PIANO058_MID--AUDIO-split_07-07-17_Piano-e_2-02_wav--5\n",
      "61 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_059_PIANO059_MID--AUDIO-split_07-07-17_Piano-e_2-03_wav--1\n",
      "62 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_059_PIANO059_MID--AUDIO-split_07-07-17_Piano-e_2-03_wav--2\n",
      "63 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_059_PIANO059_MID--AUDIO-split_07-07-17_Piano-e_2-03_wav--3\n",
      "64 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_060_PIANO060_MID--AUDIO-split_07-07-17_Piano-e_2-04_wav--1\n",
      "65 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_060_PIANO060_MID--AUDIO-split_07-07-17_Piano-e_2-04_wav--2\n",
      "66 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_060_PIANO060_MID--AUDIO-split_07-07-17_Piano-e_2-04_wav--3\n",
      "67 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_060_PIANO060_MID--AUDIO-split_07-07-17_Piano-e_2-04_wav--4\n",
      "68 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_061_PIANO061_MID--AUDIO-split_07-07-17_Piano-e_2-05_wav--1\n",
      "69 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_061_PIANO061_MID--AUDIO-split_07-07-17_Piano-e_2-05_wav--2\n",
      "70 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_061_PIANO061_MID--AUDIO-split_07-07-17_Piano-e_2-05_wav--3\n",
      "71 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_062_PIANO062_MID--AUDIO-split_07-07-17_Piano-e_2-07_wav--1\n",
      "72 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_062_PIANO062_MID--AUDIO-split_07-07-17_Piano-e_2-07_wav--2\n",
      "73 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_062_PIANO062_MID--AUDIO-split_07-07-17_Piano-e_2-07_wav--3\n",
      "74 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_062_PIANO062_MID--AUDIO-split_07-07-17_Piano-e_2-07_wav--4\n",
      "75 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_065_PIANO065_MID--AUDIO-split_07-07-17_Piano-e_3-01_wav--1\n",
      "76 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_065_PIANO065_MID--AUDIO-split_07-07-17_Piano-e_3-01_wav--3\n",
      "77 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_066_PIANO066_MID--AUDIO-split_07-07-17_Piano-e_3-02_wav--1\n",
      "78 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_066_PIANO066_MID--AUDIO-split_07-07-17_Piano-e_3-02_wav--3\n",
      "79 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_066_PIANO066_MID--AUDIO-split_07-07-17_Piano-e_3-02_wav--4\n",
      "80 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_067_PIANO067_MID--AUDIO-split_07-07-17_Piano-e_3-03_wav--2\n",
      "81 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_067_PIANO067_MID--AUDIO-split_07-07-17_Piano-e_3-03_wav--3\n",
      "82 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_070_PIANO070_MID--AUDIO-split_07-08-17_Piano-e_1-02_wav--1\n",
      "83 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_070_PIANO070_MID--AUDIO-split_07-08-17_Piano-e_1-02_wav--2\n",
      "84 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_070_PIANO070_MID--AUDIO-split_07-08-17_Piano-e_1-02_wav--3\n",
      "85 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_071_PIANO071_MID--AUDIO-split_07-08-17_Piano-e_1-04_wav--1\n",
      "86 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_071_PIANO071_MID--AUDIO-split_07-08-17_Piano-e_1-04_wav--3\n",
      "87 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_071_PIANO071_MID--AUDIO-split_07-08-17_Piano-e_1-04_wav--4\n",
      "88 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_072_PIANO072_MID--AUDIO-split_07-08-17_Piano-e_1-06_wav--1\n",
      "89 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_072_PIANO072_MID--AUDIO-split_07-08-17_Piano-e_1-06_wav--2\n",
      "90 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_073_PIANO073_MID--AUDIO-split_07-08-17_Piano-e_2-02_wav--1\n",
      "91 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_073_PIANO073_MID--AUDIO-split_07-08-17_Piano-e_2-02_wav--2\n",
      "92 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_074_PIANO074_MID--AUDIO-split_07-08-17_Piano-e_2-04_wav--1\n",
      "93 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_074_PIANO074_MID--AUDIO-split_07-08-17_Piano-e_2-04_wav--2\n",
      "94 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_074_PIANO074_MID--AUDIO-split_07-08-17_Piano-e_2-04_wav--3\n",
      "95 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_075_PIANO075_MID--AUDIO-split_07-08-17_Piano-e_2-06_wav--1\n",
      "96 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_075_PIANO075_MID--AUDIO-split_07-08-17_Piano-e_2-06_wav--2\n",
      "97 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_078_PIANO078_MID--AUDIO-split_07-09-17_Piano-e_1-02_wav--1\n",
      "98 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_078_PIANO078_MID--AUDIO-split_07-09-17_Piano-e_1-02_wav--3\n",
      "99 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_079_PIANO079_MID--AUDIO-split_07-09-17_Piano-e_1-04_wav--1\n",
      "100 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_079_PIANO079_MID--AUDIO-split_07-09-17_Piano-e_1-04_wav--3\n",
      "101 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_080_PIANO080_MID--AUDIO-split_07-09-17_Piano-e_1-06_wav--1\n",
      "102 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_080_PIANO080_MID--AUDIO-split_07-09-17_Piano-e_1-06_wav--2\n",
      "103 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_081_PIANO081_MID--AUDIO-split_07-09-17_Piano-e_2_-02_wav--1\n",
      "104 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_081_PIANO081_MID--AUDIO-split_07-09-17_Piano-e_2_-02_wav--3\n",
      "105 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_081_PIANO081_MID--AUDIO-split_07-09-17_Piano-e_2_-02_wav--4\n",
      "106 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_082_PIANO082_MID--AUDIO-split_07-09-17_Piano-e_2_-04_wav--1\n",
      "107 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_082_PIANO082_MID--AUDIO-split_07-09-17_Piano-e_2_-04_wav--2\n",
      "108 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_082_PIANO082_MID--AUDIO-split_07-09-17_Piano-e_2_-04_wav--3\n",
      "109 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--1\n",
      "110 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--2\n",
      "111 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--3\n",
      "112 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--4\n",
      "113 of 113\tMaestro\\train\\2017\\MIDI-Unprocessed_083_PIANO083_MID--AUDIO-split_07-09-17_Piano-e_2_-06_wav--5\n",
      "\n",
      " 9853 samples\n",
      "Mels decibels           in range [-92 ... -30 ... 39]\n",
      "Midi normalized volumes in range [0.0 ... 0.0035 ... 0.98]\n",
      "\n",
      "train saved\n",
      "\n",
      "test\n",
      "\t 2004\n",
      "\n",
      "1 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_02_Track02_wav\n",
      "2 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_03_Track03_wav\n",
      "3 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_SMF_16_R1_2004_01-08_ORIG_MID--AUDIO_16_R1_2004_04_Track04_wav\n",
      "4 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_01-02_ORIG_MID--AUDIO_20_R2_2004_02_Track02_wav\n",
      "5 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_SMF_17_R1_2004_03-06_ORIG_MID--AUDIO_20_R2_2004_12_Track12_wav--1\n",
      "6 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_XP_01_R1_2004_04-05_ORIG_MID--AUDIO_01_R1_2004_05_Track05_wav\n",
      "7 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_XP_08_R1_2004_04-06_ORIG_MID--AUDIO_08_R1_2004_05_Track05_wav--1\n",
      "8 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_XP_11_R1_2004_01-02_ORIG_MID--AUDIO_11_R1_2004_02_Track02_wav\n",
      "9 of 9\tMaestro\\test\\2004\\MIDI-Unprocessed_XP_15_R1_2004_03_ORIG_MID--AUDIO_15_R1_2004_03_Track03_wav\n",
      "\n",
      " 9 samples\n",
      "Mels decibels           in range [-49 ... -27 ... 35]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.89]\n",
      "\n",
      "\t 2006\n",
      "\n",
      "1 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_05_R1_2006_01-05_ORIG_MID--AUDIO_05_R1_2006_02_Track02_wav\n",
      "2 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_09_R1_2006_01-04_ORIG_MID--AUDIO_09_R1_2006_01_Track01_wav\n",
      "3 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_10_R1_2006_01-04_ORIG_MID--AUDIO_10_R1_2006_03_Track03_wav\n",
      "4 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MID--AUDIO_12_R1_2006_02_Track02_wav\n",
      "5 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_12_R1_2006_01-08_ORIG_MID--AUDIO_12_R1_2006_03_Track03_wav\n",
      "6 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_14_R1_2006_01-05_ORIG_MID--AUDIO_14_R1_2006_04_Track04_wav\n",
      "7 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_15_R1_2006_01-05_ORIG_MID--AUDIO_15_R1_2006_04_Track04_wav\n",
      "8 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MID--AUDIO_17_R1_2006_04_Track04_wav\n",
      "9 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MID--AUDIO_19_R1_2006_02_Track02_wav\n",
      "10 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MID--AUDIO_19_R1_2006_06_Track06_wav\n",
      "11 of 11\tMaestro\\test\\2006\\MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MID--AUDIO_19_R1_2006_07_Track07_wav\n",
      "\n",
      " 11 samples\n",
      "Mels decibels           in range [-48 ... -27 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0037 ... 0.96]\n",
      "\n",
      "\t 2008\n",
      "\n",
      "1 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_02_R1_2008_01-05_ORIG_MID--AUDIO_02_R1_2008_wav--3\n",
      "2 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_02_R2_2008_01-05_ORIG_MID--AUDIO_02_R2_2008_wav--1\n",
      "3 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_02_R3_2008_01-03_ORIG_MID--AUDIO_02_R3_2008_wav--2\n",
      "4 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_03_R1_2008_01-04_ORIG_MID--AUDIO_03_R1_2008_wav--4\n",
      "5 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_03_R2_2008_01-03_ORIG_MID--AUDIO_03_R2_2008_wav--1\n",
      "6 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_04_R2_2008_01-04_ORIG_MID--AUDIO_04_R2_2008_wav--3\n",
      "7 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--3\n",
      "8 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--7\n",
      "9 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_05_R1_2008_01-04_ORIG_MID--AUDIO_05_R1_2008_wav--3\n",
      "10 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_07_R2_2008_01-05_ORIG_MID--AUDIO_07_R2_2008_wav--3\n",
      "11 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_09_R1_2008_01-05_ORIG_MID--AUDIO_09_R1_2008_wav--2\n",
      "12 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_09_R3_2008_01-07_ORIG_MID--AUDIO_09_R3_2008_wav--2\n",
      "13 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_10_R2_2008_01-05_ORIG_MID--AUDIO_10_R2_2008_wav--4\n",
      "14 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_10_R3_2008_01-05_ORIG_MID--AUDIO_10_R3_2008_wav--2\n",
      "15 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_12_R2_2008_01-04_ORIG_MID--AUDIO_12_R2_2008_wav--2\n",
      "16 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_12_R3_2008_01-04_ORIG_MID--AUDIO_12_R3_2008_wav--3\n",
      "17 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_15_R1_2008_01-04_ORIG_MID--AUDIO_15_R1_2008_wav--3\n",
      "18 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_15_R2_2008_01-04_ORIG_MID--AUDIO_15_R2_2008_wav--2\n",
      "19 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_15_R2_2008_01-04_ORIG_MID--AUDIO_15_R2_2008_wav--4\n",
      "20 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_16_R1_2008_01-04_ORIG_MID--AUDIO_16_R1_2008_wav--3\n",
      "21 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_17_R1_2008_01-04_ORIG_MID--AUDIO_17_R1_2008_wav--4\n",
      "22 of 22\tMaestro\\test\\2008\\MIDI-Unprocessed_18_R1_2008_01-04_ORIG_MID--AUDIO_18_R1_2008_wav--2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " 22 samples\n",
      "Mels decibels           in range [-48 ... -27 ... 37]\n",
      "Midi normalized volumes in range [0.0 ... 0.0035 ... 0.97]\n",
      "\n",
      "\t 2009\n",
      "\n",
      "1 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_01_R1_2009_01-04_ORIG_MID--AUDIO_01_R1_2009_01_R1_2009_01_WAV\n",
      "2 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MID--AUDIO_02_R1_2009_02_R1_2009_03_WAV\n",
      "3 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_04_WAV\n",
      "4 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_04_R1_2009_04-06_ORIG_MID--AUDIO_04_R1_2009_04_R1_2009_04_WAV\n",
      "5 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_05_R1_2009_01-02_ORIG_MID--AUDIO_05_R1_2009_05_R1_2009_01_WAV\n",
      "6 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_06_R1_2009_01-02_ORIG_MID--AUDIO_06_R1_2009_06_R1_2009_02_WAV\n",
      "7 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_07_R1_2009_01-03_ORIG_MID--AUDIO_07_R1_2009_07_R1_2009_02_WAV\n",
      "8 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MID--AUDIO_08_R1_2009_08_R1_2009_02_WAV\n",
      "9 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_08_R1_2009_01-04_ORIG_MID--AUDIO_08_R1_2009_08_R1_2009_03_WAV\n",
      "10 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_09_R1_2009_01-04_ORIG_MID--AUDIO_09_R1_2009_09_R1_2009_03_WAV\n",
      "11 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_10_R1_2009_01-02_ORIG_MID--AUDIO_10_R1_2009_10_R1_2009_01_WAV\n",
      "12 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MID--AUDIO_11_R1_2009_11_R1_2009_07_WAV\n",
      "13 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_14_R1_2009_01-05_ORIG_MID--AUDIO_14_R1_2009_14_R1_2009_03_WAV\n",
      "14 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_14_R1_2009_06-08_ORIG_MID--AUDIO_14_R1_2009_14_R1_2009_06_WAV\n",
      "15 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_15_R1_2009_01-02_ORIG_MID--AUDIO_15_R1_2009_15_R1_2009_02_WAV\n",
      "16 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_15_R1_2009_03-06_ORIG_MID--AUDIO_15_R1_2009_15_R1_2009_05_WAV\n",
      "17 of 17\tMaestro\\test\\2009\\MIDI-Unprocessed_15_R1_2009_03-06_ORIG_MID--AUDIO_15_R1_2009_15_R1_2009_06_WAV\n",
      "\n",
      " 17 samples\n",
      "Mels decibels           in range [-52 ... -28 ... 35]\n",
      "Midi normalized volumes in range [0.0 ... 0.0031 ... 0.94]\n",
      "\n",
      "\t 2011\n",
      "\n",
      "1 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_04_R2_2011_MID--AUDIO_R2-D2_02_Track02_wav\n",
      "2 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1-D3_04_Track04_wav\n",
      "3 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_09_R2_2011_MID--AUDIO_R2-D3_03_Track03_wav\n",
      "4 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_12_R2_2011_MID--AUDIO_R2-D4_02_Track02_wav\n",
      "5 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_14_R1_2011_MID--AUDIO_R1-D6_04_Track04_wav\n",
      "6 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_16_R1_2011_MID--AUDIO_R1-D6_15_Track15_wav\n",
      "7 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_18_R1_2011_MID--AUDIO_R1-D7_07_Track07_wav\n",
      "8 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_19_R1_2011_MID--AUDIO_R1-D7_12_Track12_wav\n",
      "9 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_22_R2_2011_MID--AUDIO_R2-D5_10_Track10_wav\n",
      "10 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_22_R2_2011_MID--AUDIO_R2-D5_11_Track11_wav\n",
      "11 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_23_R2_2011_MID--AUDIO_R2-D6_03_Track03_wav\n",
      "12 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_23_R3_2011_MID--AUDIO_R3-D8_03_Track03_wav\n",
      "13 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_23_R3_2011_MID--AUDIO_R3-D8_04_Track04_wav\n",
      "14 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_24_R1_2011_MID--AUDIO_R1-D9_11_Track11_wav\n",
      "15 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_25_R1_2011_MID--AUDIO_R1-D9_14_Track14_wav\n",
      "16 of 16\tMaestro\\test\\2011\\MIDI-Unprocessed_25_R2_2011_MID--AUDIO_R2-D6_07_Track07_wav\n",
      "\n",
      " 16 samples\n",
      "Mels decibels           in range [-49 ... -25 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0037 ... 0.96]\n",
      "\n",
      "\t 2013\n",
      "\n",
      "1 of 10\tMaestro\\test\\2013\\ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_01_R1_2013_wav--3\n",
      "2 of 10\tMaestro\\test\\2013\\ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_01_R1_2013_wav--4\n",
      "3 of 10\tMaestro\\test\\2013\\ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_11_R1_2013_wav--4\n",
      "4 of 10\tMaestro\\test\\2013\\ORIG-MIDI_01_7_8_13_Group__MID--AUDIO_04_R2_2013_wav--1\n",
      "5 of 10\tMaestro\\test\\2013\\ORIG-MIDI_01_7_8_13_Group__MID--AUDIO_07_R2_2013_wav--2\n",
      "6 of 10\tMaestro\\test\\2013\\ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_14_R3_2013_wav--2\n",
      "7 of 10\tMaestro\\test\\2013\\ORIG-MIDI_02_7_6_13_Group__MID--AUDIO_06_R1_2013_wav--4\n",
      "8 of 10\tMaestro\\test\\2013\\ORIG-MIDI_02_7_6_13_Group__MID--AUDIO_08_R1_2013_wav--4\n",
      "9 of 10\tMaestro\\test\\2013\\ORIG-MIDI_03_7_10_13_Group_MID--AUDIO_15_R3_2013_wav--2\n",
      "10 of 10\tMaestro\\test\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_19_R2_2013_wav--4\n",
      "\n",
      " 10 samples\n",
      "Mels decibels           in range [-49 ... -26 ... 35]\n",
      "Midi normalized volumes in range [0.0 ... 0.0043 ... 0.97]\n",
      "\n",
      "\t 2014\n",
      "\n",
      "1 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_01_R1_2014_wav--5\n",
      "2 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_02_R1_2014_wav--1\n",
      "3 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_02_R1_2014_wav--4\n",
      "4 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_03_R1_2014_wav--4\n",
      "5 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_04_R1_2014_wav--2\n",
      "6 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--5\n",
      "7 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_04-08-12_R3_2014_MID--AUDIO_12_R3_2014_wav--2\n",
      "8 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_07_R1_2014_wav--2\n",
      "9 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_06-08_R1_2014_MID--AUDIO_08_R1_2014_wav--1\n",
      "10 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_11_R1_2014_wav--3\n",
      "11 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_13_R1_2014_wav--1\n",
      "12 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_13_R1_2014_wav--2\n",
      "13 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--1\n",
      "14 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_19-20_R1_2014_MID--AUDIO_19_R1_2014_wav--2\n",
      "15 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_19-20_R1_2014_MID--AUDIO_20_R1_2014_wav--2\n",
      "16 of 16\tMaestro\\test\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_22_R1_2014_wav--1\n",
      "\n",
      " 16 samples\n",
      "Mels decibels           in range [-47 ... -27 ... 37]\n",
      "Midi normalized volumes in range [0.0 ... 0.0031 ... 0.94]\n",
      "\n",
      "\t 2015\n",
      "\n",
      "1 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_01_R1_2015_wav--2\n",
      "2 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_02_R1_2015_wav--3\n",
      "3 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-from_mp3_11_R1_2015_wav--5\n",
      "4 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R1_D2-21-22_mid--AUDIO-from_mp3_21_R1_2015_wav--4\n",
      "5 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_03_R2_2015_wav--1\n",
      "6 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_06_R2_2015_wav--1\n",
      "7 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D2-12-13-15_mid--AUDIO-from_mp3_12_R2_2015_wav--2\n",
      "8 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D2-12-13-15_mid--AUDIO-from_mp3_12_R2_2015_wav--3\n",
      "9 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D2-19-21-22_mid--AUDIO-from_mp3_19_R2_2015_wav--3\n",
      "10 of 10\tMaestro\\test\\2015\\MIDI-Unprocessed_R2_D2-19-21-22_mid--AUDIO-from_mp3_22_R2_2015_wav--1\n",
      "\n",
      " 10 samples\n",
      "Mels decibels           in range [-48 ... -26 ... 35]\n",
      "Midi normalized volumes in range [0.0 ... 0.0039 ... 0.91]\n",
      "\n",
      "\t 2017\n",
      "\n",
      "1 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_044_PIANO044_MID--AUDIO-split_07-06-17_Piano-e_1-04_wav--1\n",
      "2 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_050_PIANO050_MID--AUDIO-split_07-06-17_Piano-e_3-01_wav--4\n",
      "3 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_053_PIANO053_MID--AUDIO-split_07-06-17_Piano-e_3-04_wav--1\n",
      "4 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_053_PIANO053_MID--AUDIO-split_07-06-17_Piano-e_3-04_wav--2\n",
      "5 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_057_PIANO057_MID--AUDIO-split_07-07-17_Piano-e_1-07_wav--3\n",
      "6 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_059_PIANO059_MID--AUDIO-split_07-07-17_Piano-e_2-03_wav--4\n",
      "7 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_066_PIANO066_MID--AUDIO-split_07-07-17_Piano-e_3-02_wav--2\n",
      "8 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_067_PIANO067_MID--AUDIO-split_07-07-17_Piano-e_3-03_wav--1\n",
      "9 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_067_PIANO067_MID--AUDIO-split_07-07-17_Piano-e_3-03_wav--4\n",
      "10 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_071_PIANO071_MID--AUDIO-split_07-08-17_Piano-e_1-04_wav--2\n",
      "11 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_078_PIANO078_MID--AUDIO-split_07-09-17_Piano-e_1-02_wav--2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_079_PIANO079_MID--AUDIO-split_07-09-17_Piano-e_1-04_wav--2\n",
      "13 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_079_PIANO079_MID--AUDIO-split_07-09-17_Piano-e_1-04_wav--4\n",
      "14 of 14\tMaestro\\test\\2017\\MIDI-Unprocessed_080_PIANO080_MID--AUDIO-split_07-09-17_Piano-e_1-06_wav--3\n",
      "\n",
      " 14 samples\n",
      "Mels decibels           in range [-48 ... -27 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0036 ... 0.99]\n",
      "\n",
      "test saved\n",
      "\n",
      "validation\n",
      "\t 2004\n",
      "\n",
      "1 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_05_Track05_wav\n",
      "2 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_SMF_02_R1_2004_01-05_ORIG_MID--AUDIO_02_R1_2004_10_Track10_wav\n",
      "3 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_SMF_22_R1_2004_01-04_ORIG_MID--AUDIO_22_R1_2004_03_Track03_wav\n",
      "4 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_SMF_22_R1_2004_01-04_ORIG_MID--AUDIO_22_R1_2004_05_Track05_wav\n",
      "5 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_XP_08_R1_2004_01-02_ORIG_MID--AUDIO_08_R1_2004_02_Track02_wav\n",
      "6 of 6\tMaestro\\validation\\2004\\MIDI-Unprocessed_XP_15_R1_2004_01-02_ORIG_MID--AUDIO_15_R1_2004_01_Track01_wav\n",
      "\n",
      " 872 samples\n",
      "Mels decibels           in range [-84 ... -30 ... 35]\n",
      "Midi normalized volumes in range [0.0 ... 0.0035 ... 0.89]\n",
      "\n",
      "\t 2006\n",
      "\n",
      "1 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_01_R1_2006_01-09_ORIG_MID--AUDIO_01_R1_2006_05_Track05_wav\n",
      "2 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_03_R1_2006_01-05_ORIG_MID--AUDIO_03_R1_2006_04_Track04_wav\n",
      "3 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_05_R1_2006_01-05_ORIG_MID--AUDIO_05_R1_2006_01_Track01_wav\n",
      "4 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_05_R2_2006_01_ORIG_MID--AUDIO_05_R2_2006_03_Track03_wav\n",
      "5 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_06_R1_2006_01-04_ORIG_MID--AUDIO_06_R1_2006_02_Track02_wav\n",
      "6 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_07_R2_2006_01_ORIG_MID--AUDIO_07_R2_2006_04_Track04_wav\n",
      "7 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_08_R1_2006_01-04_ORIG_MID--AUDIO_08_R1_2006_Disk1_02_Track02_wav\n",
      "8 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_09_R2_2006_01_ORIG_MID--AUDIO_09_R2_2006_03_Track03_wav\n",
      "9 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_11_R1_2006_01-06_ORIG_MID--AUDIO_11_R1_2006_02_Track02_wav\n",
      "10 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_15_R1_2006_01-05_ORIG_MID--AUDIO_15_R1_2006_02_Track02_wav\n",
      "11 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_16_R1_2006_01-04_ORIG_MID--AUDIO_16_R1_2006_02_Track02_wav\n",
      "12 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_16_R2_2006_01_ORIG_MID--AUDIO_16_R2_2006_03_Track03_wav\n",
      "13 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MID--AUDIO_17_R1_2006_01_Track01_wav\n",
      "14 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_17_R1_2006_01-06_ORIG_MID--AUDIO_17_R1_2006_02_Track02_wav\n",
      "15 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MID--AUDIO_19_R1_2006_01_Track01_wav\n",
      "16 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_19_R1_2006_01-07_ORIG_MID--AUDIO_19_R1_2006_03_Track03_wav\n",
      "17 of 17\tMaestro\\validation\\2006\\MIDI-Unprocessed_23_R1_2006_01-05_ORIG_MID--AUDIO_23_R1_2006_02_Track02_wav\n",
      "\n",
      " 2596 samples\n",
      "Mels decibels           in range [-87 ... -31 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0033 ... 0.99]\n",
      "\n",
      "\t 2008\n",
      "\n",
      "1 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_01_R1_2008_01-04_ORIG_MID--AUDIO_01_R1_2008_wav--2\n",
      "2 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_04_R3_2008_01-07_ORIG_MID--AUDIO_04_R3_2008_wav--4\n",
      "3 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_06_R1_2008_01-04_ORIG_MID--AUDIO_06_R1_2008_wav--3\n",
      "4 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_07_R1_2008_01-04_ORIG_MID--AUDIO_07_R1_2008_wav--2\n",
      "5 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_07_R2_2008_01-05_ORIG_MID--AUDIO_07_R2_2008_wav--2\n",
      "6 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_07_R2_2008_01-05_ORIG_MID--AUDIO_07_R2_2008_wav--4\n",
      "7 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_09_R3_2008_01-07_ORIG_MID--AUDIO_09_R3_2008_wav--1\n",
      "8 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_10_R1_2008_01-04_ORIG_MID--AUDIO_10_R1_2008_wav--2\n",
      "9 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_11_R1_2008_01-04_ORIG_MID--AUDIO_11_R1_2008_wav--2\n",
      "10 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_12_R1_2008_01-04_ORIG_MID--AUDIO_12_R1_2008_wav--1\n",
      "11 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_12_R1_2008_01-04_ORIG_MID--AUDIO_12_R1_2008_wav--4\n",
      "12 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_17_R1_2008_01-04_ORIG_MID--AUDIO_17_R1_2008_wav--3\n",
      "13 of 13\tMaestro\\validation\\2008\\MIDI-Unprocessed_17_R2_2008_01-04_ORIG_MID--AUDIO_17_R2_2008_wav--1\n",
      "\n",
      " 974 samples\n",
      "Mels decibels           in range [-79 ... -29 ... 37]\n",
      "Midi normalized volumes in range [0.0 ... 0.0035 ... 0.96]\n",
      "\n",
      "\t 2009\n",
      "\n",
      "1 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_01_R1_2009_01-04_ORIG_MID--AUDIO_01_R1_2009_01_R1_2009_04_WAV\n",
      "2 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_02_R1_2009_03-06_ORIG_MID--AUDIO_02_R1_2009_02_R1_2009_04_WAV\n",
      "3 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_03_R1_2009_03-08_ORIG_MID--AUDIO_03_R1_2009_03_R1_2009_03_WAV\n",
      "4 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_04_R1_2009_01-03_ORIG_MID--AUDIO_04_R1_2009_04_R1_2009_02_WAV\n",
      "5 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_07_R1_2009_01-03_ORIG_MID--AUDIO_07_R1_2009_07_R1_2009_03_WAV\n",
      "6 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_09_R1_2009_05-06_ORIG_MID--AUDIO_09_R1_2009_09_R1_2009_05_WAV\n",
      "7 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_10_R1_2009_01-02_ORIG_MID--AUDIO_10_R1_2009_10_R1_2009_02_WAV\n",
      "8 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_11_R1_2009_01-05_ORIG_MID--AUDIO_11_R1_2009_11_R1_2009_02_WAV\n",
      "9 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_11_R1_2009_01-05_ORIG_MID--AUDIO_11_R1_2009_11_R1_2009_04_WAV\n",
      "10 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_11_R1_2009_06-09_ORIG_MID--AUDIO_11_R1_2009_11_R1_2009_06_WAV\n",
      "11 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_14_R1_2009_01-05_ORIG_MID--AUDIO_14_R1_2009_14_R1_2009_04_WAV\n",
      "12 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_17_R1_2009_01-03_ORIG_MID--AUDIO_17_R1_2009_17_R1_2009_02_WAV\n",
      "13 of 13\tMaestro\\validation\\2009\\MIDI-Unprocessed_20_R1_2009_01-05_ORIG_MID--AUDIO_20_R1_2009_20_R1_2009_02_WAV\n",
      "\n",
      " 1584 samples\n",
      "Mels decibels           in range [-82 ... -32 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0032 ... 0.94]\n",
      "\n",
      "\t 2011\n",
      "\n",
      "1 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_01_R1_2011_MID--AUDIO_R1-D1_06_Track06_wav\n",
      "2 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_04_R1_2011_MID--AUDIO_R1-D2_03_Track03_wav\n",
      "3 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_05_R1_2011_MID--AUDIO_R1-D2_10_Track10_wav\n",
      "4 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_07_R1_2011_MID--AUDIO_R1-D3_05_Track05_wav\n",
      "5 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_08_R1_2011_MID--AUDIO_R1-D3_07_Track07_wav\n",
      "6 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_10_R2_2011_MID--AUDIO_R2-D3_11_Track11_wav\n",
      "7 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_16_R2_2011_MID--AUDIO_R2-D4_08_Track08_wav\n",
      "8 of 8\tMaestro\\validation\\2011\\MIDI-Unprocessed_24_R1_2011_MID--AUDIO_R1-D9_09_Track09_wav\n",
      "\n",
      " 736 samples\n",
      "Mels decibels           in range [-84 ... -29 ... 37]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.99]\n",
      "\n",
      "\t 2013\n",
      "\n",
      "1 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_01_7_6_13_Group__MID--AUDIO_03_R1_2013_wav--4\n",
      "2 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_13_R1_2013_wav--1\n",
      "3 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_01_7_7_13_Group__MID--AUDIO_14_R1_2013_wav--2\n",
      "4 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_01_7_8_13_Group__MID--AUDIO_04_R2_2013_wav--3\n",
      "5 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_02_7_10_13_Group_MID--AUDIO_12_R3_2013_wav--2\n",
      "6 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_16_R1_2013_wav--2\n",
      "7 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_02_7_7_13_Group__MID--AUDIO_19_R1_2013_wav--2\n",
      "8 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_03_7_6_13_Group__MID--AUDIO_10_R1_2013_wav--4\n",
      "9 of 9\tMaestro\\validation\\2013\\ORIG-MIDI_03_7_8_13_Group__MID--AUDIO_15_R2_2013_wav--2\n",
      "\n",
      " 902 samples\n",
      "Mels decibels           in range [-85 ... -30 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.95]\n",
      "\n",
      "\t 2014\n",
      "\n",
      "1 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_01-03_R1_2014_MID--AUDIO_01_R1_2014_wav--2\n",
      "2 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_04_R1_2014_wav--3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_04-05_R1_2014_MID--AUDIO_05_R1_2014_wav--6\n",
      "4 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_04-08-12_R3_2014_MID--AUDIO_12_R3_2014_wav--1\n",
      "5 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_09_R1_2014_wav--4\n",
      "6 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_09-10_R1_2014_MID--AUDIO_10_R1_2014_wav--1\n",
      "7 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_11-13_R1_2014_MID--AUDIO_13_R1_2014_wav--4\n",
      "8 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--2\n",
      "9 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--3\n",
      "10 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_14-15_R1_2014_MID--AUDIO_15_R1_2014_wav--4\n",
      "11 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_16_R1_2014_wav--2\n",
      "12 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_16-18_R1_2014_MID--AUDIO_18_R1_2014_wav--1\n",
      "13 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_19-20_R1_2014_MID--AUDIO_19_R1_2014_wav--8\n",
      "14 of 14\tMaestro\\validation\\2014\\MIDI-UNPROCESSED_21-22_R1_2014_MID--AUDIO_22_R1_2014_wav--2\n",
      "\n",
      " 1798 samples\n",
      "Mels decibels           in range [-92 ... -31 ... 40]\n",
      "Midi normalized volumes in range [0.0 ... 0.0033 ... 0.98]\n",
      "\n",
      "\t 2015\n",
      "\n",
      "1 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_03_R1_2015_wav--3\n",
      "2 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_04_R1_2015_wav--2\n",
      "3 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_05_R1_2015_wav--3\n",
      "4 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-1-8_mid--AUDIO-from_mp3_05_R1_2015_wav--5\n",
      "5 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-from_mp3_09_R1_2015_wav--2\n",
      "6 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D1-9-12_mid--AUDIO-from_mp3_12_R1_2015_wav--3\n",
      "7 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-from_mp3_13_R1_2015_wav--2\n",
      "8 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-from_mp3_14_R1_2015_wav--2\n",
      "9 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-from_mp3_15_R1_2015_wav--4\n",
      "10 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-from_mp3_17_R1_2015_wav--4\n",
      "11 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R1_D2-13-20_mid--AUDIO-from_mp3_18_R1_2015_wav--3\n",
      "12 of 12\tMaestro\\validation\\2015\\MIDI-Unprocessed_R2_D1-2-3-6-7-8-11_mid--AUDIO-from_mp3_07_R2_2015_wav--1\n",
      "\n",
      " 1193 samples\n",
      "Mels decibels           in range [-79 ... -29 ... 36]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.92]\n",
      "\n",
      "\t 2017\n",
      "\n",
      "1 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_044_PIANO044_MID--AUDIO-split_07-06-17_Piano-e_1-04_wav--2\n",
      "2 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_045_PIANO045_MID--AUDIO-split_07-06-17_Piano-e_2-01_wav--4\n",
      "3 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_049_PIANO049_MID--AUDIO-split_07-06-17_Piano-e_2-06_wav--1\n",
      "4 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_050_PIANO050_MID--AUDIO-split_07-06-17_Piano-e_3-01_wav--3\n",
      "5 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_051_PIANO051_MID--AUDIO-split_07-06-17_Piano-e_3-02_wav--2\n",
      "6 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_054_PIANO054_MID--AUDIO-split_07-07-17_Piano-e_1-02_wav--2\n",
      "7 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_058_PIANO058_MID--AUDIO-split_07-07-17_Piano-e_2-02_wav--3\n",
      "8 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_060_PIANO060_MID--AUDIO-split_07-07-17_Piano-e_2-04_wav--5\n",
      "9 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_065_PIANO065_MID--AUDIO-split_07-07-17_Piano-e_3-01_wav--2\n",
      "10 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_072_PIANO072_MID--AUDIO-split_07-08-17_Piano-e_1-06_wav--3\n",
      "11 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_072_PIANO072_MID--AUDIO-split_07-08-17_Piano-e_1-06_wav--4\n",
      "12 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_073_PIANO073_MID--AUDIO-split_07-08-17_Piano-e_2-02_wav--4\n",
      "13 of 13\tMaestro\\validation\\2017\\MIDI-Unprocessed_075_PIANO075_MID--AUDIO-split_07-08-17_Piano-e_2-06_wav--3\n",
      "\n",
      " 1298 samples\n",
      "Mels decibels           in range [-81 ... -30 ... 37]\n",
      "Midi normalized volumes in range [0.0 ... 0.0039 ... 0.96]\n",
      "\n",
      "validation saved\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'All years combined'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for splitFolder in ['train', 'test', 'validation']:\n",
    "    print(splitFolder)\n",
    "    for yearFolder in glob('{}\\{}\\*\\\\'.format(dataFolder, splitFolder)):\n",
    "        yearFolder = int(yearFolder.split('\\\\')[2])\n",
    "        print('\\t', yearFolder, end='\\n\\n')\n",
    "        mels, onsets, offsets, actives, volumes = [], [], [], [], []\n",
    "        for i, [newMels, newOnsets, newOffsets, newActives, newVolumes] in enumerate(zip(*(\n",
    "                sorted(glob('{}\\{}\\{}\\*{}.npy'.format(dataFolder, splitFolder, yearFolder, arr)))\n",
    "                for arr in ['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes']))):\n",
    "            song = newMels.split(' ')[0]\n",
    "            assert song == newOnsets.split(' ')[0] == newOffsets.split(' ')[0] == newActives.split(' ')[0] \\\n",
    "                == newVolumes.split(' ')[0], 'Inconsistent number of numpy arrays'\n",
    "            print('{} of {}'.format(i + 1, len(glob('{}\\{}\\{}\\*Actives.npy'.format(\n",
    "                dataFolder, splitFolder, yearFolder)))), end='\\t')\n",
    "\n",
    "            newMels, newOnsets, newOffsets, newActives, newVolumes = map(\n",
    "                lambda arr: np.load(arr, allow_pickle=True), [newMels, newOnsets, newOffsets, newActives, newVolumes])\n",
    "            mels, onsets, offsets, actives, volumes = map(lambda arr, newArr: (arr + newArr.tolist())\n",
    "                if splitFolder == 'test' else np.vstack([arr, newArr]) if len(arr) else newArr,\n",
    "                [mels, onsets, offsets, actives, volumes], [newMels, newOnsets, newOffsets, newActives, newVolumes])\n",
    "            print(song)\n",
    "        \n",
    "        if splitFolder != 'test':\n",
    "            mels, volumes = map(lambda arr: arr.astype(np.float16), [mels, volumes])\n",
    "            onsets, offsets, actives = map(lambda arr: arr.astype(np.int8), [onsets, offsets, actives])\n",
    "        for name, arr in zip(['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes'], [mels, onsets, offsets, actives, volumes]):\n",
    "            np.save('{}/{}/{} {}'.format(dataFolder, splitFolder, yearFolder, name), arr)\n",
    "        print('\\n', len(actives), 'samples')\n",
    "        \n",
    "        melsFlat, volsFlat = map(np.concatenate, [mels, volumes])\n",
    "        print('Mels decibels           in range [{:.0f} ... {:.0f} ... {:.0f}]'.format(\n",
    "            melsFlat.min(), melsFlat.mean(), melsFlat.max()))\n",
    "        assert melsMinMin < melsFlat.min() < melsMinMax and melsMeanMin < melsFlat.mean() < melsMeanMax \\\n",
    "            and melsMaxMin < melsFlat.max() < melsMaxMax, 'Wrong mels decibels range'\n",
    "\n",
    "        print('Midi normalized volumes in range [{} ... {:.4f} ... {:.2f}]\\n'.format(\n",
    "            volsFlat.min(), volsFlat.mean(), volsFlat.max()))\n",
    "        for arr in map(np.concatenate, [onsets, offsets, actives]): assert ((arr == 0) | (arr == 1)).all(), \\\n",
    "                'Onsets, offsets and actives must be only zeros and ones'\n",
    "        assert volsFlat.min() == 0 and 0 < volsFlat.max() <= 1, 'Wrong normalized MIDI volumes range'\n",
    "\n",
    "    print(splitFolder, 'saved\\n')\n",
    "'All years combined'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train\n",
      "1 of 9\tMaestro\\train\\2004\n",
      "2 of 9\tMaestro\\train\\2006\n",
      "3 of 9\tMaestro\\train\\2008\n",
      "4 of 9\tMaestro\\train\\2009\n",
      "5 of 9\tMaestro\\train\\2011\n",
      "6 of 9\tMaestro\\train\\2013\n",
      "7 of 9\tMaestro\\train\\2014\n",
      "8 of 9\tMaestro\\train\\2015\n",
      "9 of 9\tMaestro\\train\\2017\n",
      "\n",
      " 109300 samples\n",
      "Mels decibels           in range [-92 ... -30 ... 39]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.99]\n",
      "\n",
      "validation\n",
      "1 of 9\tMaestro\\validation\\2004\n",
      "2 of 9\tMaestro\\validation\\2006\n",
      "3 of 9\tMaestro\\validation\\2008\n",
      "4 of 9\tMaestro\\validation\\2009\n",
      "5 of 9\tMaestro\\validation\\2011\n",
      "6 of 9\tMaestro\\validation\\2013\n",
      "7 of 9\tMaestro\\validation\\2014\n",
      "8 of 9\tMaestro\\validation\\2015\n",
      "9 of 9\tMaestro\\validation\\2017\n",
      "\n",
      " 11953 samples\n",
      "Mels decibels           in range [-92 ... -30 ... 40]\n",
      "Midi normalized volumes in range [0.0 ... 0.0034 ... 0.99]\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'All splits combined'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with File(dataFolder + '/Mels train.hdf5', 'w') as f: #, rdcc_nbytes=1024**3*4) as f: # 4 GB cache size\n",
    "    for splitFolder in ['train', 'validation']:\n",
    "        print(splitFolder)\n",
    "        mels, onsets, offsets, actives, volumes = [], [], [], [], []\n",
    "        for i, [newMels, newOnsets, newOffsets, newActives, newVolumes] in enumerate(zip(*(sorted(glob('{}\\{}\\*{}.npy'.format(\n",
    "                dataFolder, splitFolder, arr)) for arr in ['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes'])))):\n",
    "            song = newOnsets.split(' ')[0]\n",
    "            assert song == newOffsets.split(' ')[0] == newActives.split(' ')[0] == newVolumes.split(' ')[0], \\\n",
    "                'Inconsistent number of numpy arrays'\n",
    "            print('{} of {}'.format(i + 1, len(glob('{}\\{}\\*Actives.npy'.format(\n",
    "                dataFolder, splitFolder)))), end='\\t')\n",
    "\n",
    "            newMels, newOnsets, newOffsets, newActives, newVolumes = map(\n",
    "                lambda arr: np.load(arr, allow_pickle=True), [newMels, newOnsets, newOffsets, newActives, newVolumes])\n",
    "            \n",
    "            if splitFolder == 'train':\n",
    "                # Memory Error, so at first collect data in resisable HDF5-file, then it can be re-saved to NumPy-file\n",
    "                if not mels: mels = f.create_dataset('Mels', data=newMels,\n",
    "                    maxshape=(None, newMels.shape[1], newMels.shape[2])) # chunks=True\n",
    "                else:\n",
    "                    mels.resize((len(mels) + len(newMels), mels.shape[1], mels.shape[2]))\n",
    "                    mels[-len(newMels):] = newMels\n",
    "            else: mels = (mels + newMels.tolist()) if splitFolder == 'test' \\\n",
    "                else np.vstack([mels, newMels]) if len(mels) else newMels\n",
    "\n",
    "            onsets, offsets, actives, volumes = map(lambda arr, newArr: (arr + newArr.tolist())\n",
    "                if splitFolder == 'test' else np.vstack([arr, newArr]) if len(arr) else newArr,\n",
    "                [onsets, offsets, actives, volumes], [newOnsets, newOffsets, newActives, newVolumes])\n",
    "\n",
    "            print(song)\n",
    "\n",
    "        for name, arr in zip(['Mels', 'Onsets', 'Offsets', 'Actives', 'Volumes'], [mels, onsets, offsets, actives, volumes]):\n",
    "            np.save('{}/{} {}'.format(dataFolder, name, splitFolder), arr)\n",
    "        print('\\n', len(actives), 'samples')\n",
    "        \n",
    "        melsFlat, volsFlat = map(np.concatenate, [mels, volumes])\n",
    "        melsMin, melsMean, melsMax = np.min(melsFlat), np.mean(melsFlat), np.max(melsFlat)\n",
    "        print('Mels decibels           in range [{:.0f} ... {:.0f} ... {:.0f}]'.format(melsMin, melsMean, melsMax))\n",
    "        assert melsMinMin < melsMin < melsMinMax and melsMeanMin < melsMean < melsMeanMax \\\n",
    "            and melsMaxMin < melsMax < melsMaxMax, 'Wrong mels decibels range'\n",
    "\n",
    "        print('Midi normalized volumes in range [{} ... {:.4f} ... {:.2f}]\\n'.format(\n",
    "            volsFlat.min(), volsFlat.mean(), volsFlat.max()))\n",
    "        for arr in map(np.concatenate, [onsets, offsets, actives]): assert ((arr == 0) | (arr == 1)).all(), \\\n",
    "                'Onsets, offsets and actives must be only zeros and ones'\n",
    "        assert volsFlat.min() == 0 and 0 < volsFlat.max() <= 1, 'Wrong normalized MIDI volumes range'\n",
    "\n",
    "'All splits combined'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logariphmic distribution of notes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def PlotNotes(name):\n",
    "#    for split in ['train', 'test', 'validation']:\n",
    "    for split in ['train', 'validation']:\n",
    "        noteCounts = np.load('{}/{} {}.npy'.format(dataFolder, name, split)).nonzero()[2]\n",
    "        minNote, maxNote = noteCounts.min(), noteCounts.max()\n",
    "\n",
    "        plt.figure(figsize=(16, 8))\n",
    "        plt.hist(noteCounts, maxNote - minNote, rwidth=.8, log=True)\n",
    "        plt.title('{} {} Logariphmic distribution of notes '\n",
    "                  '(should probably be something like between rectangle and bell-curve)'.format(name, split))\n",
    "        plt.xlim(minNote, maxNote)\n",
    "        plt.xticks(range(minNote, maxNote + 1))\n",
    "        plt.grid(axis='x')\n",
    "\n",
    "PlotNotes('Onsets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "PlotNotes('Offsets') # Should be the same as Onsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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T7hdnztMZFdfUZDynByvEvSbpMZKuiNN/0UV8daRa99L/k7RB/H0bhdaQ6R4sqizqqoKq13s4znNCnHZ3PDdrx98foVZB6UpJDy/ZbmXBhobrWZleOCksuFB3z7tBHf++VKjGY5sK8c6QtF38fX1J747XcLrHuq1QvU0h7josc14fK+myOP0fyhUcqn6c10taNMVr6WWWAxQrGhWe7X+J03+vXAGwpEcqpDkOlLRFZrktFZ5Rq2O4H9fwdsvSwIdmjuWCkvPxyzjPBzo4h/nn/i8l7RynrSXptWoVtn6uqfigTZi6fdZ2FWdr5j1/u6RlaqVBtpD0ozj9rwqV/9fHczqm1vM1FXi+oWB/XqTWtf5eta7ttSQ9S9Kf4vTP1r2vS+7Djp+DZddbnHZdZr2XKqZl47oPUiveKErvvT4T9g+rdW9vqZD3zBbED6RCVaFr/tPj7yuUq6Dv5dzV2IcUl9+mEJe8Q608yvZqvZRzp2KcnVs+XZOXSdo/s+yEQlx6X1xvPo/QyXPmpNzvqRIgVYR+Mjf9gPj7tbnfu8qvxukPU6sC8gsKz4OxeG3volYF3R+Uixd7uX7bnLtsfLFS4aWkbTP37OLMvN2ep80y4b9G4QWTdMzGJT1F4WXiB9W5/nPrfrmkTynE3em+HFN45qX85Q3KvSSgmfHRpMLLG+lZsU68ttLzuCge7CVPXlWhukSttOW/KpZ5KdzfL4n74pLe3eF5bqIcoJu481WZ43Bc5hw9SCEe6yXu7CWf2Mu92K8K1VR56Ar5gYdmrufFkt6kXPmQmqlQnYrH6hDFl6jidbxQ0nPUiicLX7RRK877Se73CbUqU09TeH4vyBz/k9VKB25Ysu5/ifPcqpov1vHhw6f+Z+AB4MOHz9x8FAqkUiFIUcJ2PbUyRe8omP61OO1PRQkChTfkXKFwYnFuWr8rVP9YkFgbU6slgKvgrUFJr077VDDt4jjtbSXh2lStRPlumd9/Gn9b0uC5q1O58cY4z8WKmayCeZYpl+lVq1BueQfhGWSF6nlxmfNU3Ar1o3H67YqFZ5nrP2U4ZrUiUcjgL+92vzL3x/sKpqXE+i2qaJWh9hVULunzBcuNqVUwf2Zu2vaZZWdliOI8Z8TpVRXn/bjHyuKFR2fW+ZqG7qEUjntUXEiWbZ1ft0L1wZllNuviuq9ToeqSPlRjvqow36XiArhnZLaRL7wZZIXq0Zn7ZYuC5Q7IhPupJdfUdH6f4vQnZpadVehREdZxtVr3fLhg+gJJv4jTf173Wq+57V7u4YerVYE4q3JSoRIt3cNfKdluu8K4YXpW/iqu810l07t53g3q+PerQjU9q65QrNzNTf9gZtluK1Rd0ksKpm+hViuWfKFW3Tivl7RoitemJe1VsOyj1GqF+dIO9z3FW18qmNb1dsuuA4UK5FTYeWDBOh+ZOQ4P7WA/stfODSp4ATMTptXKxaPqMj5oE6aOn7XqIc7WzHv+ZyXrzrYQKXqJJl0PPy04vn+P055bEvbtFZ7b9ynzDFTnFaodPwfLrrc4LT2zr1dxryPvVUF6TyGtmAqFiyrhTaFVeQrTnFeoKlTMp/zFlUXHt5dzV2MfUlzukt5bMH1dhZcBXbmXRRQq5lyhhVvZC9P/Huf5ft3znZknFcj/Pfd76tXl2HitXZabflycfmLu967yq/H31Hq4sDckhXgx5eUOauL6rXHusvHFuSqptOjxPH08/n6TMpWmNcPVVeVUXIcpVHq7pMMK7oe0378vOpeSPq/ieLCnPLnK0z6bKFRq3quCl5viPHvHZW9WQcvZHo5VnXKATuNOU+uFq7LWuNkWz91WqHaTT+zlXmy8QlUhfZnKOUvTkBXHoJcKVZf09JLlF6nV+veQgulj8booOh4pDj1NBfFKPP+p4vqdJdvfIhPGWb2g8OHDp7cPY6gCI8Ldb1foAkaSXlkwywsUCglWK7yR+AAL41G9IH5d6u53Fyz/RYU378cU3oaeSx/z3Hiv7j6tkAmQwlvk35q1VGjdIEnbm9k66UcLY7fsqZAoX1a0QXe/RSERI4XMZnJH/PugTnagAa+Kfz/j7veVzPPN+LcovBtbyfhTw8LC+HhPjV+Pjec47z8UCjI2VMi8JvsrFEjcpdB12gzxmH2ih+D9KP7du2Ker7r7P3vYhivs38wfw3FIv/+LlY8HelzJ79+Pf3ep2Haj91gbKX663N2/UnOZdlKc9B13nzX2sLufo1C42on0Aook1R7/rkOrJX2yx3V8y93/kv/R3c9S6JZTmvs4u0oKyzJ3/7/8RHf/iUIrJym0WC1yrrv/smDZXyk8p6TQjVJd+yu0RrxXoSux/HrvVyjgkaT9rGAssYZ0eg+/UCHDfb1CK6AZ3P1OtfbnYOt8HPRhe1amdd1cMr3X591QHf9O5dJyH3f3ewtm+7jCiye9uMbdv53/Md7Pacy+sjinNM5rMC16jrtfXBC+/5X0vTbhK1MnDdDYduO5Oyl+fU3BLOm3s9z9b3XWWeBzHsbgyvuKQqVoasUiqef4oEo3z9qm4uyiNNeUwssbknS+u19UsFxK++TjhKcrtJD9s7v/SAViGuXXCgWx+5SEq46mn4PJF919suD3FA/m03tPkPSQ+P9HC8LjRb/PlXjuf66Qv7hM0lPc/bqCWefi3K1UaO2WX+/dCnGzNDuOSPm/E0vuV6mV/3t6F8+ZXyjEy9vYzDG/0/6dpvDS5aNzYyam6eeVhLej/KqZbaDQQlgqya/FeDGNn14Wv3R6/XZiabyei3R1nszMJL0i/v5Rd7+hy7B1LO7L6fFr1bNtacm5LEsb9StPfohiN+zufmnRDDG+/qvCyz2l4552oU4aoNNr7/EKLSulgvRnPD+znlFd6Cif2OC92KQXK7SMvkWh9fNc+q27n100wd1XKcSRUhhGIW8fhZfG7lbrOkhSnPGJongl/pbKXsqOcXrxTpr7sklgjbdw0AEAMKe+ptDdyd5m9jB3vzYzLVVinFFQiL2DQmWr1KpAmcHd7zez8+L6d28wzHUsL/k97ccVJRmcm+JfU3hbMhUiPin+XVvSX0NeptAG8e9DMr/9RCGRebiZba6Q0LkoFsD0hZmtJelx8eunzGxpyawL4t9seC9W6OplG0m/MLPPKbyRv6IfYe1Ryvjcr9AicxZ3nzSzyxTewN9drURsWva37n5XyfovqNq4mW2qMM7T/pJ2Uqi0XZCb7cEVq5hVkNqhv1QUjF6gkGAeU+gSpuj4XFKy7PXx70TJdKn5e6zKnvHvT2rMW1eKk/IFO1nnqXXvt+XuK83sQoWutn5mZp+R9GOF1m9Flf3duMrdb+1xHedWTDtPodu2uY6zC8VKrkfGr4XPmujnCoW0ZeH+TcnvUrjet1L19Z6XtvPb+HJSkXMVWmmMxfl/2sH66+r0Hk7hPr/imvx5/Duu8Hb4nzoIz7A9K1OlSFGBldT7827Yjn+nsmm5wrjQ3e+Iz9C9ethOu3j2PQqF7wvyL+qoOs5rKi16bpvwvbhoWTNbT6F11fMV4qkJzc5LV6UButpuhS9Jeruk55rZZu5+cwznQrUK4Ht5Kencoh/dfTo++w7RzPD2Eh+U6vJZ21Sc3S7tc3nJ9JT2yccJ6Rg9xMxuVLn0YlytY1Si6edgu/WmeDCf3kvp7+sq4tpfKKTt82nqfttaIb38SEkXKbT2Lrte5uLc/brkRRGpFa9uamYPzeQHUrjeZWZva7P+DSRtrNBTQC3ufqeZXaqQr9pH0rWxsu/JCr0B/S6G7VHxtx+Z2foKlUHZcPeaX32CWq3FLqmIX9LLUmXHv9PrtxNV+bxuz9PD1UrbNJkveoCZPVQhf/v0uL1xaVbDm6pnW7tjmo9nes6Tl0jH+Elt7tFN4t+HqDqenKGBcoBOr730HLu+6GXg6EL1HneeWzGtKJ/Y1L3YpFR2cHbJy4L91K5855sK3U8fYGYb5Z4xh8a/P3T3lelHM9tOrRfI/tvMyl7UWCv+LTzGMU08pXCt9utlX2BkUaEKjJafKrxV/iCFwpajJcnMHqSQiJZCpWve5pn/ry+YnqQ3ejevmKcfyt7WvL/mdCm8TZykN7gWKozv0856mf9PVEjQv1ahkvqVkqbN7PeSfqjQVVNVIr8bm6kV/k1rzP9AeN39FjN7paRvSNpNsVWBmd2gcL18xd0LKy8HIF1XkxUFDlK4Dp+omddhSkRWvdn7j7IJZrarwhhGW2R+nlKre5m1FDKM61esv5fWqVLFvRcLHG9XyIAX3X/3V2RaU8ZtUcl0qfl7rEq657ptVVMknf/Sc6zquK3MaxQKdndSaO1yjKSpWKD/LUnfLqgw6ESv14xUvV9p2lzH2WU2VShQkHp71lRVytW53vPSdqruwbvMbFJhH/pxPLu5h9uGW61jmebvpEJv2J6VqWChsNVLj8+7YTz+ncpel03HhXWXT9MWKTyvbslNr4rzmkqLdhwnmtnWCoWO22d+vlOh8n5aoTBzM1WnARqNi939cjP7tUJh52EK4+BJYZzXLRUK4/MtHjrRaXh7iQ/a6fRZ20Scfb+X9ypSN+2TjxPSMVpbzR+jvKafg+3Wm62Ayq63bfrb3e+J52KuC3zfGP/eIukAd7+jYt65OHd17jkpXK8pjZwK3TeuuY311EGFanS+WhWqJyq8uLmxpB/HFyzOUxifcB+FlnpPUuwiOdfyrev8qlrH39Tb8e/0+q3LNft5ltXtecrua5P5IkmSmT1NIc2Vnl2u0CtAOh7rKlTGVD3b2h3T/PHsKU9eIV0j66ne/Vf7Hm2oHKDTay89l0qPhbvf3UDc2e2zvtd7sZb4ElVR7x3nu3vqqagfZQd1tcurX6DQXfxDFHquOVGSzGyRWi19v5lbJtuadAu1V3WM71G4h4e6JzpgPqLLX2CExMKG1EXYKzKTXq5QGHSrWl2WlFm7D0EbNilu/I27W43P69KCHrxOYRzIDyu82XefwtuYR0m6OmZe+hFeSdq5RnhnvEwTu65arPD23HfUqnR/laTzYiueYdLNNVj6+mRNJyokaC+R9EyF8Vk3dPct3X0rtbpxqdpOLxVrdfS6j8NiUPvR8XbjG8O7KGSQvqQw9ta4pOdIOlnSxfFN/W6N8jUzjM+aYQxTHf0K97A9K1PL1NICywE97+bbddPPeKHduuvGef06pmXhO16hMvUahW5uJ9x9A3ffIqYBntxm+W63207qQvnVmd/S/9/sY0uNovB2HR+008OzdtjuvXSMvlPzGB1Tubb5YZjTGT9W6GZ3U0mfadMd7qDPXdlxTOE6sGa4irozbie1Mt0n9/e8NtPzLyj1kl9Ny/6z5n4+o4v97MW0e2l3v1L356lv94+Zra3wgtn6Ci+VPVlhbPKN3X2r+Gx7Tx/C0a99Ssf4YzWP8UmVa5upiXKAfpnrNNtc34sbK1SY5j+bZOYZ5HOmMt0a44VT4tdDM5P2V6iEn1QYRzwrG1euX+MYb69yqYV41QsfALpAhSowelIL1IebWeoaJVWunuLFY2Bk37zatmLd2xTMX2V1/Fs1VknZeJD9lLrq2snMuupCxd2Xu/sH3H1fhYTg8yRdodCNz9e7XW+JmxVaSEihy6WOuftt7r7M3V/s7g+WtKtaXcW9ycye1UA4e5Wuq/HcOD15Rddh+r9q/IjCaXHMoMcpXK/PdfefeRj7LqvOG5q9Ku1GKBYkbhi/NtGqcZBSq7SquKZTaUzFqq6YuhpbxN1Xu/v33P0N7v7IuI33Kozd9gRJR3az3gbV2ef8NVMnbt6wYlq3smO9NPms6VXaTmmYYnegKV4alnuwbbjVOpbZ+esatmdlus8ru7Gcw+ddL8e/H+mj7Pobjws7XPcqhe6XO9FUWrSjODGOafac+PWl7v59nz0GXp00QDdxcTunKFQIPcbMHhvHmj8gTut1DPJOw9tzfFClw2ftsMbZ6Rh1lVafp9qmv+M91k33w736lcK9fZdCXniZlfdfORfnrm68nL1eU/fT/QzXhQr5zMWxe9hUYXquJHnoTeJPkh5rZhuqfPzUXvKr6fhvHocJmG+6PU/ZnjqazBdJYbzPByucl+e7+0U++yWcfuRvu86Tt9GXe3SA5QDpOFXl/9dR/VbPZbp91s/JveghEfBuAAAgAElEQVTuL69RUdtt2UG7tHZT5ZCpBep+ZpaulVQJf1pB+etNmf+7vp5j+VBq9Xxz1bwAOkeFKjBi3P0KSZfGr680s8cqFCZKxd39StLVanVTsl/RDLHwJGWgflszOKlAaquKwpcn1FxXk9JYCBuq1RVy19z9Xg+tYl4Sf9paYYySulLmszCT7+73SLosfn1hV4Gcvc7L3f21ao0Zt09mcnbMqrl8I/CyzP9l1+GEMmOzFCy7eyxEK/KUkt9T4eyNXt4F5Vy8Cf0wMysbh+QpCudiWtLv5yAs/fTL+PeAyrk6k66Fp1bMs0/FtNrc/QZ3/6ikT5est/J+7oOq/SqLs1PcvI0KmNkj1BrLMK/r/fPQlfcf49fCezxKLRfrPmt6lbbzCDPbqmSefdVKV89VuNpJ4dgzFroUScfyDknZMZrqnMdhe1ZeFf9u1+F2q553vejl+Ffeg1Gn6aNsWq4wLjSzcfU+pnKdOOcP3nl36E2lRTuNE7dQqzvp35UsVycN0E1cXMnDmFvfjl9fo1AptEjS79z9stIF6ykMb2b8RGlmeBuND9pp86wd1jg7HaOdzWynDpcdVNq7V+k63MbMygq799Lcj58qSXL38xRe5LlHoQv6z5TM2su5q2uPimdFur5v8db4qdlwdZP/q5Ve8zDmX8pb7KeQ57hDM/Nl5yucw2codEMu5SpUe8yv/lqtlmAv6HDZYdDtebpGrYqQTvJFdc5tSl9cGc9NkX7kb3vJk1dJx3i/Ni9ed2pQ5QDpubR1rNQt8mT1Hnd2mjYZxnsxlR08Lba8rqtdWruRckh3/52k/1U4Vy+J1/3z4uR8d79SyA+k+76Xsr3F8e+0+jukCDCSqFAFRlOqOH2xpNfH/690918Xzezu05K+F7++08yK+uD/V4XxQaYlnVYzHFcqtFJYoNbb/w+IGdaDaq6rMe5+uVoFqx+tSOzLzNYzs7Uy39cqm1dhnI2kk8ReGtOn6g3Er8a/LzazqkojZTMZbcIrtcL8QHjj9ZDezOz1rcja3P3/1Oo+6r0lXXP9P4WCzzs0s/uUMxX2ZT2FcX5miONYHF6y6dvj3web2awxf8xsN7UqAPrJJB1RsH1TaKUhST+NBR/z2dfj353N7LUNrfM78e8hRZnSeM/s3ckK4zVTZda9E9W5n5t0aFEhppntpzAmltQ6Psny+Pf5JeucdR1m9Lp/6fnxmsxbvA8wswPUyuCe2uU2OnWmQiuwtSS9qyBMC9RqHXWOuw/LW8DfVWjxu4WkWd1rxjeX0/58N8btSTqPY7GSbZYhfFZeFP8+viQMHT/vetTL8U/34LZm9piCZfdV6/6tJa7/v+PXw0uOxztV3Sq2ju3N7JD8j2a2mVrHIR/ntNVgWvTpZjbr2MU0ZyoczIYvO67iLgXLbSPpLdWh72q7daVufw9V6/h+uYv15L3ZzIpaZ7xKoUXL/Wqdj57igypdPmuHNc7+qVpj0n2yqiVvvkJgUGnvBvxGrXGNZ52L6N1zFJZC7n62QqH1fQrX/ScKZuv63HVgXNLbCta3jlp5lHwc8dX4dy8zO1QVCsLVSXotVY6+RaGL5AtzL8Wk6Uco3Hc3untRAX4Kb0f51Zi3SWNCf6CqZZyZLTSzDarWPQBfjX87Ok+xu9BvxK/vNrO6LTfbpuHUyt/uVBQfx/R2NxWb7fSSJ6/ybYXW5utJ+s+qGTu8RwdVDnCJpDQG8XvzE2P+vyo/VldH+cQhvRdPVXgpZlN11jNUaX43Ht/35H/vwbfi35fF7a2v8EzJd42e7vtUXvu2qpd4LChrSZvyy5cX9KwCoEdUqAKj6VsKFZkTCoVPUnnr1OQYhcTvQyT9yMx2kML4G2b2Rkkp87nM3VfUCUR8GzKN2Xq8mT3JzMbMbIGZ7a+Qeb2r5j417a0KGevHSDrfzJ6WMs8xjLuY2QcU3hzNDhZ/jpl9ysyekn3L2Mx2Uav7tesU3lKr64r490UVCaZlCoUWCyT9xMzelqs43dLMDjOz8zWz4O9tZnaGmb0s+xa/mU2Y2fvVykj9T0mYXllVqFDT2ma2WZtPel4dqVBQuoekk83swTG84zG8qbDm2NhyQ9IDif9Pxa//YWZvSefHzBYrFDKXtf68XGGcvTFJ304Vcma2yMwOVjg2UyXLNul2hYKeD1voUksxY32SQkuLaUlHz0E4+srd/yDphPj1C2b2/pRZixmzHc3sQ2b2+vK1zPJNhdZr60g6w2J35/Fefq5CwXunFdGPMbPlZvZ2M9shZrxkZmvFyoR3xPnK7p2q+7lJqySdaWZ7xvCNmdnz1cocn+Huv8otk6btZmYfT+GM8chnJL1UMyu9stL+7WpmhRVbbRyv0NXR+jHcu8dtL4jHNb3Je6a7z8qE9oO7T0k6Ln493MyOSAUEsTLlVIUWNtOS3j8XYarD3a9Vq2LlY2b2ulRoFjPnP1FozXmnpI/klr1ZrS7qsuMz5g3Ts/LC+PdxVvzCTbfPu670ePyvUatFwNfNbOe43Fpm9hKFZ9akOnesQhepu0j6Xnz+pQquf1MYv7bXl3Jul/TleJwXxvXvpnBcN1Xomu0LXa67ibToHQr7vn8m3t5H0hkKFQHLFSrDJYUuohXSV5L0VYsV3PH6/heFbi+rxs7rart1xfh7ucJ4Yo9QOL9FLR46tb7C8/JRMaxrmdmrJX02Tl/m7tfnluk2PqjS8bN2WOPs2K3f2+PX/RWecXtk9mmRmT3ezD6q0CI7r8m095yIFcFpPNG3mtkHM2nYLczsBIUWzWVpijnh7mdIOlghzfROMzsuN73Xc1fH7ZKONbO3ZvIoD5f0Q0k7KuSJP5oL148l/SB+/ZqZHZV7vm1iZgeZ2Y/yy6qz9FpKb6UC+nx3vue1mZ50m1+VQuXGpELvFReb2fMt0xotxg//pvDC9m5t9mdO9Xie/kMhH7qFpAvM7LkWXzSxkP99mpmdapnK1pppuAsV7rvNY5i2iutc10Ie61T1YdzFHvPkVev9p1qVaa83s2+ltFNc9zoxzfl5FVRiVRhIOUCsVEv5+jeY2bHWyo9tpVB29xT1Hnd2k08cqnsxvnSfnjNHmtnxFnv1ivuzrZm9y8zel1s0vZj7PDN7t8UXwcxsuzitybCndNmear1EdEruZcqsYyWtUBgC5Xwze4VlKqfN7KFm9gaFFt/PLVlHio8v6CXgAEq4Ox8+fEbwo/BWucfP/ZK2qbHMQQpvf6XlJhUKTtL3/5G0XsFyJ8XpRxZM216tcfNcoWDx7vj/pQqtJVzSWbnlFmaWKQy7QsLKJZ1QMr1yHQqtZu/IzHOvQvcb2X12SVtnlrk8d1xvzR2zlZL27fBc7ZzZ5iqFQuYVks7NzbelQnc3aVvTcfsrc+F9X2aZd+WmTSl0f5L97bMFYXp9Zvpdkv4aw3RcB/t1YW47VZ9tMsu9Oe5bdh9XZ+b9mqSxgu2tLemszHz3KVzD6dy+MDNt89yyB8fzmabfEZdxhbdHXxn//3PBdq+L057c5ngUzqfQ4sRj2D8d/18d93s6E6bDS+4vl7S6YrvPKAq7+nyPqTpeWEehkjN/La/K/DZruTbHdxeF+zd7rd8V/79SrXvhrIJlZ50bhVZw2Wv0HoW4LHud/FLSBp3ez9lz3mafSufLhPm1mf2+I7PPrlDJvGXJuo/PHf/J+He1QreSpde1QkvBtOzNcf9WSHp8nftCoaB7MrOOOzQzHv2tcvdou2uqIN55eYfXzwJJJ2fCsCpek9n4/g0ly7YNV8V2u76H47T1JZ2dCee9mhnH3y3pOSXr/UhmvqnMeXxrbr5heVZaDJ9L2qdgesfPuwEf/yeplR5K4U3PndMVCllnxb9qn7Y5TDPjqUm14tZvd3u9ZpY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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "PlotNotes('Volumes') # Should be the same as Onsets and Offsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FRraUqW+ncJK2Xfq7CtZ5beYcfFHSZnH6o9R4eMAlHVaw7hlqxPnD1HhgYheFAsOahx8K1u0krqUwLVfIfO+aWX+HguVGcusvVKNQ8Iik90jaIM7bQdKlahRkdsituyDOe0AhE/5FxcKNpE0yx2xc0i5lcSru+6uZdTdXo4B3p8KDBn9XePf0evHzcjUqCt5ecFwWx3lHFMz7YeY3vUuNa22WQjpzvAoqQivizbCkf8ZtXiPpKXH6TEmvj8cnVbQuqjiHI5lpG8Zz6pK+pomNhZtK2k/SdzS5cDSqgjSi5JwvVyicvU2xAlohzdg4t1xVmJdK+q2k+ZljeIQaBbKvVFybVWFsFl8nhanm+juoUbBfrFhQVLjHHKnGwxxfrYhTYwoPerwoxsUhhfvVX+P877WRXv2PGoXlt0iaHafvpMbDBA9I2qmVuF5jvwvU5jUcl7lYjYL6qxUbmiQ9XaGywxXyCZuV7He0Sfj6Ii8R1z1PFRUXCg9VuML98ChJc+N0U6joPFzSZ/rk+C9Uk+tIbTSoKuRF0z3/m5K2yvyW1FCQ0sKW4msmni9VSG9fmjmve6tRMX+9chWHqp/mdSM/szTGu73i9CGFeJwarC4tuQ5Pl/Q8SY/KTN9G0mfjeitU3ADTyX4L44Gk/4zTf1dyLobUKJO8sYVzuCbuxPBeLGm7OG8jhYrDdPyPKVi/rfSgSZjavde2lWZr8jX/STXyICMKD2C5wn31nPib9lJIR2ZJ+g81KnBfUvB73q1GnvFtmW2vr5BGpAdNPlT3ui65Dlu+D5bFtzjPM9v9qRp52dmS3qjGvbkov3d8nPdI/P0pD7utpAs18eHjkRbTnVG1Xp5Lx+iIzLRNJf06Tv+jihsC2jp3NX7DIjWuuQcU8qWpjLKbQr413SuGc+vOjHHRJV0ez3Gqf9hSjQazBzS5jFB6vgvCdmJuemoESPn89+XmvzlO/3lu+jw1Hj4/T9JTFR/OUIjj38j81k1y6z5Doaz9iEL9wTYK1916kp6ZOX+THqpSB/G3yblL8WxFDNepauQR1lfjHtXJedpBjUbB30vaR428xLBCg+Y5deN/brn3KDTkP1Wx4Swez90l/UiNe7aVpUfxmH5XjQcsN5L0QTXux0XpYCdl8kUqyPvEeel+fLtC2T39pjkKZYh0HA9u8Tx3ox6gnbTzw2rkW9+nRr5oO4X7c/YhoVbTzrReO+XETq7FUbWYZtf8Panx8BGFtC1dhzMk7RiP35Elx6Dw2Kleg+pyhfzWfmrkeR8f/741LnNbRbi/X3ScFe6P6To4TeEhlaF4nHdRo3xxgwoeIozbeENc5vqy/fPhsy59eh4APnwG+RMzAakwtFduXqr4Oqhk3dQQe4+krWvur/QmnVtukYorzV4ep9+v3NOfcf4L1Micb5SZvl4mM/OKkn1up5DJXaXMU/OS/hTXm9Qbrs1jnhqrVxcdN0mPz2R2tmthu6ZGD7fDC+an378gN32BCjJzcXu3qLyiIbu/SdutEd6PxPW+Xvf8141Lajxt/YuiDJcaPfOWK1ZaFhynfyhTiZiZn57GLc0oVoR5tNnvqjgHZ5Ys8510/jTx6f7t1SjYHVKw3jxleku1+DuaxbUUJ/6sWIlUsp3CTL0aFR4u6cMF662vRiXlV3PzFmTWPa1kvylt+2hZnJL0s4L1NtLEp373rojXResvVq5CK05/SZw+Lmm/VuNVyW9M4bhXuYaLOP+wzO8our4nnRtJe6hRGVBYkGkS7xdULJM951W99xfWCPM/JW1aMP8INdLebdsIY7P4OilMNdf/Wpx+qwp6ManRU2lcscBaEKcezM+L81MvmIdU8nBUSVi3VaMR4S0F8zdUo0feN+rG9Zr7XpA5Vq1ew8/JrDvpWlKoxEu9GD5Wst/RirD1TV4ibvOuuM3XlsxPjVAXrwXHv+l1pPYaVFN+4GfKVZDG+V/NhLml+JqJ5+OSnlMwf2c1ei8clpu3MLPfqjSvG/mZFSpOH/bJhGGvZr83t25Kt44rmNf2fsvigUIjc+r5/pSCbe6bOQ6FvUtKfsdIJizXKzZCloTpfnWpbNEkTC3fa9VBmq2J1/zXC9bdRo385MMl5zTFh9Nz0zeJ52SVpD1Kwv6suP0JvVXUeoNqy/fBsvgW5zWLF19UQX5PoSEjPSRV1Ag/UxN77Y20eO2lOLeg5DyOVhyjI+L3rdToafwrFYy608m5q/EbFmV+/6EF8zdTo3fisbl5b4rTf1t0XuIy/x2X+VLd851ZJlXI/yo3/XNx+ifj3wtz81Mj08dz09MoQ+er4B4Ul7koLpNvpP1FnP6ekvWG1cgHPL0b8bfGuVuQ2fZ3Kpbr5Dx9L06/SfFBsBbCNSn+t/DbZis01rhyZTxNvFdcWnQuFR6WKEoHOyqTqzzvs6Mao4dtX/Kb/j3Fg3aPS8E269YDtJp2ZsvZCwvWy56fdtLOtF475cROrsVRtZhm1/gtu2TiVGkesuIYFB471WtQfVixkbxgmUepkVfbs2D+XDUarvPHI6Whny/Z9iw17p2vKlnmaWrky2ulHXz4rM0f3qEK9Na+Cr0U7pD0y9y8b8e/h5esm9499Rl3v2sKwlbkYoVC28YKjRB5B8e/F7j7A5npCxQqG0bd/byiDbv77QpPl81Q4/1vUngSVQrHqWPufp1CBnNI0msKFkm/4VcxTHW36woFMkl6dkeBDHZTaNyVwpOcRfs7oYPtXxj/diOsa8R3K+wTv37K3VcXLHaSQsXKHBXHIyk8NXdfwfT0DtDtpuFdGdlz8ImSZY6Pf7dVqIRLXqFQ4PmrwnBcE7j7/Qq9GVrWQlz7kruvaGcf0YMKFRj5/T+kMEyjJB1kVvr+pknxNrog/i19v4fC06f5/T6gkEZI0pXufnnBej+tse2818e/l7j7j1pYr8qr4t/T3P3egvnfVkj3W5HSwpkKBaapcJ9Cr6hO/I+7LymY/g2F3sVDCtdHz8W4m96B+Fl3f7Bgsa8qFNJNjfOad7a731ow/QcKBcvZaqQldbxS4Tj9I+5/ghjO/0rLWsV7zTvU6jWcjs/VRdeSu/9TjXTv39sIzwL1SV4ixp0t49eiazy7zy2syTsgS/Tb8W9JLj9wUrx35XWSj0mucPcr8hPd/SZJZ8evZdduaZrXxfzM94rSB3e/TKH3YVX4ytTJw3Vtv+5+d2afbyxY5A2Zff6rzjYLnOzuKwumn6JwjDdW6HWaLFD76UGVdu613Uqzi/L7f1F4uE+Svl9yrynL+xykEDd/4e6/Ldqhu/9aoTf3sEIvsXZ1+z6YnFISL1J5IP+bX6TQMPCQQg+vCdx9lUKc6on47rxfKIT7pwrDdo4VLDod5+4OhQdD89u9V9KX49d8GpHqJU4tOS/KbPOFJfOr/Dz+fXqunLd3/PslhQas5+Tuq2l+vmyQwvvZknuQ1CinrQmvme2gkL6uUEl5LZ63i/Pr5rQaf1vx6Yp5bZ0nM5ujRh79o+6+vIPwtSSGM72PvuredmLJuSw7plNVJn+9Qrp/vrvfVrLMuQoPdu1iJe90b1UL9QCtxr19Fe6zKxV63ub3u1KhZ3OnWiondvFa7KbXKcSpG939K9Owv6yL3f36ohmx7uzS+PXggkUOlLSBQrk2pbWy8A72V8evhfdHd39YjTx12TFO5aFsGQlYZ9GgCvRWyuyeWZAxPFOhAPpiM9s8OyMWxraKX/93KgOYFQuh58Svh+TCNFuhQkGaXDj7t/j3MfFF7YUfNTKF2Re4p993kpmdamb7xJt+J1Jm+pCCeSnzMamAKUlm9tj4Evhr4gvgV2deHp8yn4/pMHxSeMJLku6OlYJFrlQYZqSQmW1gZu+JL7G/28xWZcL6+y6GNeupCpko1+RCraQ1BZdr4tenFS2jMOxykezDA5u0E8AWpLDd4+43FC0Qz81dueWlcBwk6ZcVBfhJFcBZXYhrv6rafg1X5x6MyErndhOFHiB5SyoKl+l4DVfs+7qS6XfHv4UFCYWnXpttO+9Z8W9X0lIzm6Xw5KpUfg24MgWZmm6Jn1mSfhWv7SdUNGi342p3L01TalpcNNHdx9WI82XX/XTbXuHJdCkMyThJDPfi+LWl9CreM1OcbSVOpv1cUdKII4Uef1KoON65hW3X1c41nMJdeCyjFO6d2ngopp/yEsMKPeSkULlb5CcKT4o/TdJiMzvMzOrec/vx+Lcq5QfGFRoQJom/8a8d7mdxxbyUBpddu1VpXrfyM22Fz8w2NbOPmNmVZnafmT2SyQOkBsSq+NTWfiukhsJD430uhXMThUo6qbMHchYXTXT3ZWrkWbPh7SQ9qNLOvbYbafZDajSc5rWb90nH6JlNjtE2cbm6x6hIt++DldtVeTqY8t9/qGjcr8x/T6EnKqSFOyg8GLN/RT57Os7d5RVllJRG7JqudzObocbDo6dUhCmlTy2Hyd3/rNCoMkPxGMQ05skKjRd/VziG8yQ9Jc7fXtJjFXrzrin7mNnj4nRJ+n5FeFPDeza86fjPknR7xbqvbfJbW42/da1QGCp6kg7P09MVjr0rDMHbdTE9/ZKZXWtmy8xsPHNve3dcrOre1m6a0HaZvESKI6+qOMZ3KjycI7V4PXShHqDV45TuY3+IeZsihXmhFi0umlhRTuzWtdhNXa07aFGz+p1Uh/nvNvnhrVT3eVY83snTFY6vJP2m4hi/Py5Tdoyz5aHNmoQTWOvN6HUAgEFlZvMU3v0jFT8d+hczu0LhHVyHSPp8Znb2iZ+/TFkgi31H4T0l+5vZxrGiQ5JerNC4skTSJbl10hN5s1TvaaUNM/+fpPDU7cslvT1+HjGzqxQKAqe5+9I2fsMnJe1uZju6+y2SZGa7KRR2VysMdzOBme2t8K7FOZnJ9ytUgkjhia+NFSpLOpUa0Ut7H7v7SjO7V43G9WxYH62QYd0pM/kBhYzOuEJF8GZdCmtWCvf9TXop3JlbPq/wiVh3fyhTpzWzaJkuanoOojslba2JvyVlIv9esd7fymZ0Ka7dUzGvjqrfnZ23ucIT8llVTzSn31B6/mKFSZFUUdlsfiv5m5QmdSst3VSNhpbSc6zm8WoCd19tZocoPFm8vcITpKdIWmJmP1N4P+GFFZUFdXQaZ6R68absup9u2XBUhbut9CpqGt8L1El77sz8PxXHs53f1Eq4TSGdLKtMLtJPeYnZmf8fLlrA3W81s7cp9Kh5TvzIzEYVKiq/4u6/L1pX/Xn8W5XND1Tt5y51VgHWSZpTleZ1Kz/TcvjM7EkKDXDZeL5coRLdFa6BYVXnAbqdFl+i0Pj9OEkvU+MBy0MVXgVwk7vnR9tpRavh7SQ9KNXmvbYbafY/K+7fdfM++TQhHaMN4qeZWseoRLfvg822m7aZz+91lP+eYv8Z/96sMGRi1QNs03Hu6lxz6ymkNf9UyN+mSvdNa2y/3YeWrlB4wHlvhR6Lz1HoCLI4zr9cIQ3aW+Fhi9Q7Nf8gaLZHYJ20LnsM07rrqbP0pdX4W9d9uQaRrE7OU/qt91c0qrXNzF6r0BMxpQXjCuXb1JNyjsJ9rfTeVtFrtiydmao0IcWROZpYXi9T+xrtUj1Aq3EvXSNdK7u2sY2qe32n12ItZnauGo24Wd9199Tg3+26g1Y0K6tfoJC331LS8xR7fZvZZgqvZ5Mm1z1n08pOjvFDmf877QAD9D16qAK98xqFCghJujY9cZb9KDSmSpOH/e1mj6RWXa5QKbC+Jg7bmHp2fj8+jZyV0prz3N1qfBamFd19pbsfIGlPheGy0kvn0/ebzewprfwAdx9V4+mubC/V9Bt+Eoc3W8PMZiq8W2COQq+T5yq8n3ITd9/K3beS9N60eCvh6VDZvj6n0Jh6m8KwUZu6+xx33yKG9Vkl63XL7OaLrDXa+S1tx4EuxrWyXhLd0Ms0aF3R8jF096sV3tlzmEKFxG0KlSWvUihAXVTwNGorpjLOSP0db/oxzaoKUycN51Ntqo5lP+UlssOVlY6W4O6nK/TiP0rhGr1P4R1Jb5V0jZkd08I+6+rHuFxlKtOFZtuuk+ZN5fEsC9/XFSq1fidpP4V3UW3s7lvGPMCrm6zf7n5Lxcr71AP1DZlZ6f+vtxmWOorC23Z60EwH99p+S7PTMfoYjNo5AAAgAElEQVRszWO0qAdh7LY6cbtX989zFEYW2knlrxJJen3uqq45KbxLuWm42tx36gW3d+7v5U3m50d+yYZ3Xo3wjhSs+/uax/+INn9ru6ruXZ2cpym7H1sYce00hQbP7yr0ilvf3Ycz5dvU87Kb4Ziq35SO87trxpHFtQLbv3VO06Eq3Zmua3FThfxX/jMvs0wvj3tlvtXDQyU/iF+z9ZyvVmhEv8ndf5dbLR3jsZrHeEHJ7rO9note3QWsU2hQBXqn7N2oRZ5qZvMz3/+R+X/bLoWnFnd3hUywFBsgLbxv46VxWtFQuWkoqid1sN9fu/sH3H1PhZv1wQpPhW2ugvcV1ZDCmX6DqTFUSNFv2FNh2KAlkg5w9ys8vEsyq5vvCkhPn5UO5RKHYJr0fqc4PfV+PtTdz/XJ7+eZqvcapHBvYLmhqnPSEEzd6BE3VVLYtqlcqvi3pP+r3pdSNm+641qZqmGEsmHv53NYR0qfupWWLlGjsFP3GNbm7ivc/dvufri776DQg+ZTikPEKzTU9FKd35yPM6mXxvoqEEd0mArZcFSd/+lOr9J+qsKU7dHXL9dgnXCnY+kqf/domb7JS3h4l1TqtVg5ZJ+7/9PdP+/uB8b97KHQK9YkfdzMntz6LynUyfGvvAajVq/DFJ55ZlbVY6DT94q1k+bU0a38TEvhM7NtFOLIakkvd/dLfHIP2Tp5gKk4Lqcr9Cjaz8weHcsmu8ewfqPFbeW1Gt6O04MqLd5r+zXNntJj1Kfq5L+7/bqTun6ocM9ZLekDZnZ8xbLTce7qXHOr1RjG8T418rdTGa7UYLqHhaH58w2qv1d41/FzY/m97P2p/8z832p407o7xiF01yadnKdUxzRvCvLeL1ZoJPyTpEPc/Rqf/BD+VJRvOymTV5mqa7RX9QBN656azKur3Xv9tFyL7r6gRkNtuk5arTtI12VZXrtb11yqy3yFhdeySdWvNVvz2gAzmzTyXQuy5aFWy3jAWocGVaAHzOzxagwlsZvCzafsc2Fcbk0DrIcelulG/pIWdr1maBizjt67l27ELzCzLRQa7zZUGAqs6B0UqTfozma2S8H8lrj7A+5+lqQj46TdrfV3gX1XoQJxZzN7msL52EZhOLXzCpZPFWY3u/uDJdt8Qcn0dqQnx7Y0s51Klvk3FQ8VtJkaT8mXDSdYFdYUT9qJI79X48nvfYoWiAW03ePX/BNy/SSFbSMz26NogXhuts4tLzWO+7MrrrXnlEyf7rhW5hkVleCp8mKppNunISxT6dfxbytpaSl3f1hSeufuc4uWiXGicF4b+7vd3Y9R40GXvXOLdHI9tyO//7Dz8JtTnM9f92mo1ceq2DMq9tfJ77sts++y9GpI0oL4dbrSq7SfZ1Zcg8+Lfx+QVPae7emWwr13RbqXwn2zTxyar8557Le8RDruRe+RLtunu/tVCk+K36lQFturhX1W6eT4V16DcXu7F82rkPIDpb/RzLZT84eWmilMc3Lz2rl2u5WfaTV8axpo3b1saLw6eYCuHxd3/4vC8HHrSXq9pDfGWRd7+VD9dZXdO+aq8T61bHi7mh400+Re269pdjpGe5vZpAcwm+hWmXG6pfz3bvGB3yJl+e8p5+5nK1w745I+WjFKQSfnrq46acT1MV+b3od7dZz+yjb2Vyu/5u43Krx3d5akfRXegXlzSmM8vKf4SoWeZC9RGPVhtaRf5rZzuxoNBa2GNx3/OTEMa40Oz9PVCvUjptAAWledc5vubdd6wXDFMZ15Xn56F3RSJq+S4sjLYq/SbulVPUC6j+1mZhuXLFOVZtTVajmxH6/FVHfQyjUidVbebcUlCg9WzFN4Tdtj1ciHn1mwfLrupfbS9mQk/r1fEzsAAeskGlSB3kiNo3909z+6+9Kyj6Tvx2UPzQ0v9c3492gz21r1LMv8XzpEXTNxmIgbFSpUXq2JLzgvGkbpp2q8Y+CzVUNSmtlw7vussmUVGj+lkHmvWm4Sd78nhksKT2yl3/BDL343R3qPyI5mNumpMjPbVyUVbm36g6Rb4/8fKNifSfpgybrL1KgEnJ+fGd+v+s6Kfad40nIccfclki6LXz8QGyPyPqDwZN6/JP1vq/uYRtlzUFbhsTD+HZX028z08xXOweMk/Xt+pVhQKetJON1xrcyGkt6dnxifdExDDZ1dcs2vTVKvmn3NbL8ubTOl2282s6L3F71WjUJHLU3SQqmRHuaHHGz7em7T28ysaF+HKVwP45LOzc27Lv49IDc9pXWT0sCMTtIrz4Tl3SUV4W9SeGjCJZ3d6j7adK7CcXqUGo19a8Rwvj8tGysX+0E6Pruo+FxuqUa6l39PeTqPVU9n91teIlXePr0kDKXbiucs9czo1pCynRz/dA0+I+YR8g5Vi+85jfmBn8Wv/1lSkVmWj2nF3mY26X1XZrajwhCtUiNNrq2L+ZnXmNn2BeF7rqRnF4Qv5QG2jA8t5tebr4nDuJVpdb91nRb/vlEhXkjS19rYTt7RJdfMUQrHeJmkSzPT204PqrR5r+3XNPv7Cg2460v6dNWCBceoK2XGHrhUjd/8//IzYw+n90x3oLLc/TsK149L+qSZHV2wWCfnrq4RMzs4PzHmW1M8zqcRi+Lfg8yssixSEafqxKc0fO+HFeobFufmp96ox8W/v3f3ZZpsUfz7djN7YkVYLdsjMzbqpkaTk6oetjKzDTK9wPrFovi3pfMUR0NID5YfHx9oqaNOHi7d23YtyQ+8WdIONffXik7K5FXOUEj3HyPpQ1ULtniN9qoe4BKF8zhbxeX/WZKK0qpWtVRO7NNr8ZsKceoJZvaWFtarKu/OVsjvdCw+VJHKBAfHj0m6yt1vKVh+ucKQ9JJ0bCwvFDKzGRUPK6UG4V8WPTQBrGtoUAWmWcxAvi5+zVcqF7lQodJtK0kvykw/SeHF7ZtJusLMXp4qAcxsjpktMLOz4hNJkqTYQJteNJ99/1E70tNNb5H0wvh/0RAS6ab+ToWMxwslXWpmz0yZ6Xhj3t3MTlToMZR1vZmdYGbPyPw+s9Bj8ItxmasKhrStI4X3tWq8j6rwNyhUnD6oUFnyjVThGDNub1TIhHTtXQGxon9h/PpGMzspZT5jJud0hac4Jz25GAtDKeN5upntFtcbMrPnKxRCq54gTb3r9iupWG3mIwqZ4adJWhMHY7w8Ro0K1BNLCr9TbUMz26zqI605B8fGdQ4wsy9afErczB5lZl9QY/iUY7MZR3f/s6Rvx69fNbNDYiWOzOxJki5WaLAsMq1xrcL9CsNRvtvCkFuKlbMXSHqipIcknTgN4ZhqF8ePSTrHzN6ZudZmmdl8MzvZzA5sYZunKjxdv5mkSywO6WlmM83sMIUK6fsr1i/yEjP7lZm92czWDDFkZhua2ZvVqNi+JLdeup4PLiqYT4H1Jf3IzHaN4ZtpZodL+p84/2uxl1NWatzZ38w+kArLZjaicK8pbLCK0u/bKzagtOoEhUrLxyi8F2/nuO/Z8bh+IRPuW0u20VXufoekr8SvJ5rZkamCwEKv+IskPV4hnWj2HrZp4+5XSPpR/Hq6mb0qNXKY2e4KFd3DCj1GPp9b/RaFvM48MzuoZPv9lpf4Rfxb9kT5CWZ2tpkdaJkHK8xsy3j/2C7+lh+3sM9SHR7/XyrkD2dJOtNCz9GUvrxFIc1qJ5+1UOE3Pl/SolRJY2bzzOwEhUr7TvMByySda2YvycSF5yik67MV0oh8A3Jd3cjPPCzpYouNvjEv9jI1Krt+7O7ZnlX/p9B72SR918KoNiktfaVCfMkPAdyN/db1A4X7204KQ1jfrZAmdWobSefFdD/Fvfeq0WByUra3TofpQZWW77X9mma7+31qVPS/wcy+l+7NMWzrm9l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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 938
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "PlotNotes('Actives')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}