exploratory_analysis/dataset_stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:41.674352Z",
     "start_time": "2023-08-11T15:06:40.588569Z"
    }
   },
   "outputs": [],
   "source": [
    "from collections import defaultdict\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from nltk.tokenize import word_tokenize\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.130755Z",
     "start_time": "2023-08-11T15:06:40.623504Z"
    }
   },
   "outputs": [],
   "source": [
    "# sns paper style\n",
    "sns.set_theme(context=\"paper\", style=\"whitegrid\", font_scale=2.0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SongDescriber"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.271802Z",
     "start_time": "2023-08-11T15:06:40.632341Z"
    }
   },
   "outputs": [],
   "source": [
    "ds = pd.read_csv(\"../data/song_describer.csv\")\n",
    "num_all_captions = ds[\"caption_id\"].count()\n",
    "num_all_tracks = ds[\"track_id\"].nunique()\n",
    "ds_all = ds.copy()\n",
    "ds = ds[ds[\"is_valid_subset\"].fillna(False)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.273972Z",
     "start_time": "2023-08-11T15:06:40.659667Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of valid captions: 746\n",
      "Percentage of valid captions: 67.45%\n"
     ]
    }
   ],
   "source": [
    "num_captions = ds[\"caption_id\"].count()\n",
    "print(f\"Number of valid captions: {num_captions}\")\n",
    "print(f\"Percentage of valid captions: {num_captions / num_all_captions * 100:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.275024Z",
     "start_time": "2023-08-11T15:06:40.669371Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of tracks (valid subset): 547\n",
      "Percentage of tracks (valid subset): 77.48%\n"
     ]
    }
   ],
   "source": [
    "num_tracks = ds[\"track_id\"].nunique()\n",
    "print(f\"Number of tracks (valid subset): {num_tracks}\")\n",
    "print(f\"Percentage of tracks (valid subset): {num_tracks / num_all_tracks * 100:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.391183Z",
     "start_time": "2023-08-11T15:06:40.678252Z"
    }
   },
   "outputs": [],
   "source": [
    "per_track_freq = ds.groupby(\"track_id\").count()[\"caption_id\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.472298Z",
     "start_time": "2023-08-11T15:06:40.702687Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    406\n",
       "2     99\n",
       "3     28\n",
       "4     12\n",
       "5      2\n",
       "Name: caption_id, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "per_track_freq.value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.658910Z",
     "start_time": "2023-08-11T15:06:40.722376Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Distribution of number of captions per track'}, xlabel='Number of captions', ylabel='Number of tracks'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "per_track_freq.value_counts().plot(kind=\"bar\", title=\"Distribution of number of captions per track\", xlabel=\"Number of captions\", ylabel=\"Number of tracks\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:42.660305Z",
     "start_time": "2023-08-11T15:06:41.656737Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of tracks with 1 caption: 74.22%\n"
     ]
    }
   ],
   "source": [
    "print(\"Percentage of tracks with 1 caption: {:.2f}%\".format(per_track_freq.value_counts()[1] / num_tracks * 100))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.012411Z",
     "start_time": "2023-08-11T15:06:41.679485Z"
    }
   },
   "outputs": [],
   "source": [
    "ds[\"tokenized\"] = ds[\"caption\"].str.lower().apply(word_tokenize)\n",
    "sentence_lengths = ds[\"tokenized\"].apply(len)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.013927Z",
     "start_time": "2023-08-11T15:06:42.019605Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    746.00000\n",
       "mean      18.22252\n",
       "std        7.62749\n",
       "min        8.00000\n",
       "25%       13.00000\n",
       "50%       16.00000\n",
       "75%       22.00000\n",
       "max       71.00000\n",
       "Name: tokenized, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentence_lengths.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.014859Z",
     "start_time": "2023-08-11T15:06:42.046525Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vocabulary size: 1942\n"
     ]
    }
   ],
   "source": [
    "vocab_size = len(set([word for caption in ds[\"tokenized\"] for word in caption]))\n",
    "print(f\"Vocabulary size: {vocab_size}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.442479Z",
     "start_time": "2023-08-11T15:06:42.063104Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    1106.000000\n",
      "mean       21.688969\n",
      "std        12.367342\n",
      "min         8.000000\n",
      "25%        13.000000\n",
      "50%        18.000000\n",
      "75%        26.000000\n",
      "max       115.000000\n",
      "Name: tokenized, dtype: float64\n",
      "Vocabulary size: 2859\n"
     ]
    }
   ],
   "source": [
    "ds_all[\"tokenized\"] = ds_all[\"caption\"].str.lower().apply(word_tokenize)\n",
    "sentence_lengths = ds_all[\"tokenized\"].apply(len)\n",
    "print(sentence_lengths.describe())\n",
    "vocab_size = len(set([word for caption in ds_all[\"tokenized\"] for word in caption]))\n",
    "print(f\"Vocabulary size: {vocab_size}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.444680Z",
     "start_time": "2023-08-11T15:06:42.707313Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common trigrams: (song, with, a)            53\n",
      "(,, with, a)               30\n",
      "(pop, song, with)          22\n",
      "(track, with, a)           20\n",
      "(rock, song, with)         19\n",
      "(this, is, a)              18\n",
      "(acoustic, guitar, and)    18\n",
      "(in, the, background)      16\n",
      "(guitar, and, a)           16\n",
      "(an, acoustic, guitar)     15\n",
      "(that, can, be)            15\n",
      "(can, be, used)            14\n",
      "(with, a, male)            14\n",
      "(music, with, a)           13\n",
      "(a, sense, of)             13\n",
      "(a, male, voice)           12\n",
      "(starts, with, a)          12\n",
      "(and, a, male)             12\n",
      "(by, a, male)              12\n",
      "(a, male, vocalist)        11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "trigrams = [trigram for caption in ds[\"tokenized\"] for trigram in zip(caption, caption[1:], caption[2:])]\n",
    "print(f\"Most common trigrams: {pd.Series(trigrams).value_counts().head(20)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.482189Z",
     "start_time": "2023-08-11T15:06:42.819752Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>track</th>\n",
       "      <th>artist</th>\n",
       "      <th>album</th>\n",
       "      <th>file</th>\n",
       "      <th>duration</th>\n",
       "      <th>tags</th>\n",
       "      <th>track_id</th>\n",
       "      <th>valid_subset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>track_0000226</td>\n",
       "      <td>artist_000014</td>\n",
       "      <td>album_000031</td>\n",
       "      <td>26/226.mp3</td>\n",
       "      <td>222.8</td>\n",
       "      <td>[genre---metal]</td>\n",
       "      <td>226</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>341.0</td>\n",
       "      <td>[genre---electronic, genre---minimal]</td>\n",
       "      <td>3112</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>artist_000014</td>\n",
       "      <td>album_000545</td>\n",
       "      <td>53/3453.mp3</td>\n",
       "      <td>242.4</td>\n",
       "      <td>[genre---metal]</td>\n",
       "      <td>3453</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>track_0004883</td>\n",
       "      <td>artist_000696</td>\n",
       "      <td>album_000751</td>\n",
       "      <td>83/4883.mp3</td>\n",
       "      <td>249.5</td>\n",
       "      <td>[genre---easylistening, genre---electronic, ge...</td>\n",
       "      <td>4883</td>\n",
       "      <td>True</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           track         artist         album         file  duration  \\\n",
       "0  track_0000226  artist_000014  album_000031   26/226.mp3     222.8   \n",
       "1  track_0003112  artist_000286  album_000485  12/3112.mp3     341.0   \n",
       "2  track_0003453  artist_000014  album_000545  53/3453.mp3     242.4   \n",
       "3  track_0004880  artist_000696  album_000751  80/4880.mp3     214.8   \n",
       "4  track_0004883  artist_000696  album_000751  83/4883.mp3     249.5   \n",
       "\n",
       "                                                tags  track_id  valid_subset  \n",
       "0                                    [genre---metal]       226          True  \n",
       "1              [genre---electronic, genre---minimal]      3112         False  \n",
       "2                                    [genre---metal]      3453          True  \n",
       "3  [genre---blues, genre---easylistening, genre--...      4880          True  \n",
       "4  [genre---easylistening, genre---electronic, ge...      4883          True  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_df = pd.read_csv(\"../data/data_dump_14_04_23/jamendo.tsv\", sep=\"\\t\", names=[\"track\",\t\"artist\", \"album\",\t\"file\",\t\"duration\"] + [f\"tag_{i}\" for i in range(20)])\n",
    "metadata_df[\"tags\"] = metadata_df[[f\"tag_{i}\" for i in range(20)]].apply(lambda x: x.dropna().tolist(), axis=1)\n",
    "metadata_df = metadata_df.drop(columns=[f\"tag_{i}\" for i in range(20)])\n",
    "metadata_df[\"track_id\"] = metadata_df[\"file\"].str.split(\"/\").str[1].str.split(\".\").str[0].astype(int)\n",
    "metadata_df[\"valid_subset\"] = metadata_df[\"track_id\"].isin(ds[\"track_id\"].unique())\n",
    "metadata_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.678736Z",
     "start_time": "2023-08-11T15:06:43.007401Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     547\n",
       "False    159\n",
       "Name: valid_subset, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_df[\"valid_subset\"].value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.682645Z",
     "start_time": "2023-08-11T15:06:43.077985Z"
    }
   },
   "outputs": [
    {
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>track</th>\n",
       "      <th>artist</th>\n",
       "      <th>album</th>\n",
       "      <th>file</th>\n",
       "      <th>duration</th>\n",
       "      <th>tags</th>\n",
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       "      <th>valid_subset</th>\n",
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       "      <td>222.8</td>\n",
       "      <td>genre---metal</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
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       "      <td>341.0</td>\n",
       "      <td>genre---minimal</td>\n",
       "      <td>3112</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>True</td>\n",
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       "    <tr>\n",
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       "      <td>80/4880.mp3</td>\n",
       "      <td>214.8</td>\n",
       "      <td>genre---blues</td>\n",
       "      <td>4880</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>track_1418302</td>\n",
       "      <td>artist_455057</td>\n",
       "      <td>album_165502</td>\n",
       "      <td>02/1418302.mp3</td>\n",
       "      <td>202.4</td>\n",
       "      <td>instrument---ukulele</td>\n",
       "      <td>1418302</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>track_1418302</td>\n",
       "      <td>artist_455057</td>\n",
       "      <td>album_165502</td>\n",
       "      <td>02/1418302.mp3</td>\n",
       "      <td>202.4</td>\n",
       "      <td>mood/theme---love</td>\n",
       "      <td>1418302</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>track_1418302</td>\n",
       "      <td>artist_455057</td>\n",
       "      <td>album_165502</td>\n",
       "      <td>02/1418302.mp3</td>\n",
       "      <td>202.4</td>\n",
       "      <td>mood/theme---romantic</td>\n",
       "      <td>1418302</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>track_1418302</td>\n",
       "      <td>artist_455057</td>\n",
       "      <td>album_165502</td>\n",
       "      <td>02/1418302.mp3</td>\n",
       "      <td>202.4</td>\n",
       "      <td>mood/theme---uplifting</td>\n",
       "      <td>1418302</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>track_1418302</td>\n",
       "      <td>artist_455057</td>\n",
       "      <td>album_165502</td>\n",
       "      <td>02/1418302.mp3</td>\n",
       "      <td>202.4</td>\n",
       "      <td>mood/theme---wedding</td>\n",
       "      <td>1418302</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3498 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             track         artist         album            file  duration  \\\n",
       "0    track_0000226  artist_000014  album_000031      26/226.mp3     222.8   \n",
       "1    track_0003112  artist_000286  album_000485     12/3112.mp3     341.0   \n",
       "1    track_0003112  artist_000286  album_000485     12/3112.mp3     341.0   \n",
       "2    track_0003453  artist_000014  album_000545     53/3453.mp3     242.4   \n",
       "3    track_0004880  artist_000696  album_000751     80/4880.mp3     214.8   \n",
       "..             ...            ...           ...             ...       ...   \n",
       "705  track_1418302  artist_455057  album_165502  02/1418302.mp3     202.4   \n",
       "705  track_1418302  artist_455057  album_165502  02/1418302.mp3     202.4   \n",
       "705  track_1418302  artist_455057  album_165502  02/1418302.mp3     202.4   \n",
       "705  track_1418302  artist_455057  album_165502  02/1418302.mp3     202.4   \n",
       "705  track_1418302  artist_455057  album_165502  02/1418302.mp3     202.4   \n",
       "\n",
       "                       tags  track_id  valid_subset  \n",
       "0             genre---metal       226          True  \n",
       "1        genre---electronic      3112         False  \n",
       "1           genre---minimal      3112         False  \n",
       "2             genre---metal      3453          True  \n",
       "3             genre---blues      4880          True  \n",
       "..                      ...       ...           ...  \n",
       "705    instrument---ukulele   1418302          True  \n",
       "705       mood/theme---love   1418302          True  \n",
       "705   mood/theme---romantic   1418302          True  \n",
       "705  mood/theme---uplifting   1418302          True  \n",
       "705    mood/theme---wedding   1418302          True  \n",
       "\n",
       "[3498 rows x 8 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metadata_df.explode(\"tags\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.723864Z",
     "start_time": "2023-08-11T15:06:43.127217Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0         genre---metal\n",
      "1    genre---electronic\n",
      "1       genre---minimal\n",
      "2         genre---metal\n",
      "3         genre---blues\n",
      "Name: tags, dtype: object\n"
     ]
    },
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       "      <td>214.8</td>\n",
       "      <td>4880</td>\n",
       "      <td>True</td>\n",
       "      <td>genre</td>\n",
       "      <td>metal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           track         artist         album         file  duration  \\\n",
       "0  track_0000226  artist_000014  album_000031   26/226.mp3     222.8   \n",
       "1  track_0003112  artist_000286  album_000485  12/3112.mp3     341.0   \n",
       "1  track_0003112  artist_000286  album_000485  12/3112.mp3     341.0   \n",
       "2  track_0003453  artist_000014  album_000545  53/3453.mp3     242.4   \n",
       "3  track_0004880  artist_000696  album_000751  80/4880.mp3     214.8   \n",
       "\n",
       "   track_id  valid_subset   type         tag  \n",
       "0       226          True  genre       metal  \n",
       "1      3112         False  genre  electronic  \n",
       "1      3112         False  genre  electronic  \n",
       "2      3453          True  genre     minimal  \n",
       "3      4880          True  genre       metal  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tags_df = metadata_df.explode(\"tags\")\n",
    "print(tags_df[\"tags\"].head())\n",
    "type_tag = pd.DataFrame(tags_df[\"tags\"].str.split(\"---\").tolist())\n",
    "type_tag = type_tag.rename(columns={0: \"type\", 1: \"tag\"})\n",
    "tags_df[\"type\"] = type_tag[\"type\"]\n",
    "tags_df[\"tag\"] = type_tag[\"tag\"]\n",
    "tags_df.drop(columns=\"tags\", inplace=True)\n",
    "tags_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:43.792186Z",
     "start_time": "2023-08-11T15:06:43.276301Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>tag</th>\n",
       "      <th>count</th>\n",
       "      <th>subset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>genre</td>\n",
       "      <td>pop</td>\n",
       "      <td>293</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>genre</td>\n",
       "      <td>electronic</td>\n",
       "      <td>177</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>genre</td>\n",
       "      <td>easylistening</td>\n",
       "      <td>170</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>genre</td>\n",
       "      <td>rock</td>\n",
       "      <td>159</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genre</td>\n",
       "      <td>soundtrack</td>\n",
       "      <td>88</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>genre</td>\n",
       "      <td>classical</td>\n",
       "      <td>66</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>genre</td>\n",
       "      <td>folk</td>\n",
       "      <td>64</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>genre</td>\n",
       "      <td>alternative</td>\n",
       "      <td>60</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>genre</td>\n",
       "      <td>popfolk</td>\n",
       "      <td>59</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>genre</td>\n",
       "      <td>jazz</td>\n",
       "      <td>56</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>instrument</td>\n",
       "      <td>bass</td>\n",
       "      <td>77</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>instrument</td>\n",
       "      <td>piano</td>\n",
       "      <td>65</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>instrument</td>\n",
       "      <td>electricguitar</td>\n",
       "      <td>52</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>instrument</td>\n",
       "      <td>drum</td>\n",
       "      <td>43</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>instrument</td>\n",
       "      <td>synthesizer</td>\n",
       "      <td>35</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>instrument</td>\n",
       "      <td>acousticguitar</td>\n",
       "      <td>34</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>instrument</td>\n",
       "      <td>guitar</td>\n",
       "      <td>34</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>instrument</td>\n",
       "      <td>voice</td>\n",
       "      <td>13</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>instrument</td>\n",
       "      <td>slideguitar</td>\n",
       "      <td>7</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>instrument</td>\n",
       "      <td>cello</td>\n",
       "      <td>5</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>relaxing</td>\n",
       "      <td>58</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>melodic</td>\n",
       "      <td>39</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>child</td>\n",
       "      <td>30</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>emotion</td>\n",
       "      <td>22</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>commercial</td>\n",
       "      <td>19</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>sport</td>\n",
       "      <td>19</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>fantasy</td>\n",
       "      <td>16</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>beautiful</td>\n",
       "      <td>14</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>soft</td>\n",
       "      <td>14</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>energetic</td>\n",
       "      <td>12</td>\n",
       "      <td>valid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>genre</td>\n",
       "      <td>pop</td>\n",
       "      <td>370</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>genre</td>\n",
       "      <td>electronic</td>\n",
       "      <td>253</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>genre</td>\n",
       "      <td>easylistening</td>\n",
       "      <td>197</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>genre</td>\n",
       "      <td>rock</td>\n",
       "      <td>194</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genre</td>\n",
       "      <td>soundtrack</td>\n",
       "      <td>101</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>genre</td>\n",
       "      <td>classical</td>\n",
       "      <td>76</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>genre</td>\n",
       "      <td>jazz</td>\n",
       "      <td>74</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>genre</td>\n",
       "      <td>popfolk</td>\n",
       "      <td>73</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>genre</td>\n",
       "      <td>folk</td>\n",
       "      <td>72</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>genre</td>\n",
       "      <td>alternative</td>\n",
       "      <td>68</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>instrument</td>\n",
       "      <td>piano</td>\n",
       "      <td>89</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>instrument</td>\n",
       "      <td>bass</td>\n",
       "      <td>87</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>instrument</td>\n",
       "      <td>drum</td>\n",
       "      <td>65</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>instrument</td>\n",
       "      <td>electricguitar</td>\n",
       "      <td>55</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>instrument</td>\n",
       "      <td>synthesizer</td>\n",
       "      <td>49</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>instrument</td>\n",
       "      <td>guitar</td>\n",
       "      <td>40</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>instrument</td>\n",
       "      <td>acousticguitar</td>\n",
       "      <td>34</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>instrument</td>\n",
       "      <td>voice</td>\n",
       "      <td>24</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>instrument</td>\n",
       "      <td>computer</td>\n",
       "      <td>16</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>instrument</td>\n",
       "      <td>slideguitar</td>\n",
       "      <td>7</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>relaxing</td>\n",
       "      <td>87</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>melodic</td>\n",
       "      <td>49</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>child</td>\n",
       "      <td>30</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>emotion</td>\n",
       "      <td>29</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>drama</td>\n",
       "      <td>28</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>commercial</td>\n",
       "      <td>28</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>calm</td>\n",
       "      <td>24</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>beautiful</td>\n",
       "      <td>20</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>sport</td>\n",
       "      <td>19</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>mood/theme</td>\n",
       "      <td>fantasy</td>\n",
       "      <td>16</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           type             tag  count subset\n",
       "0         genre             pop    293  valid\n",
       "1         genre      electronic    177  valid\n",
       "2         genre   easylistening    170  valid\n",
       "3         genre            rock    159  valid\n",
       "4         genre      soundtrack     88  valid\n",
       "5         genre       classical     66  valid\n",
       "6         genre            folk     64  valid\n",
       "7         genre     alternative     60  valid\n",
       "8         genre         popfolk     59  valid\n",
       "9         genre            jazz     56  valid\n",
       "63   instrument            bass     77  valid\n",
       "64   instrument           piano     65  valid\n",
       "65   instrument  electricguitar     52  valid\n",
       "66   instrument            drum     43  valid\n",
       "67   instrument     synthesizer     35  valid\n",
       "68   instrument  acousticguitar     34  valid\n",
       "69   instrument          guitar     34  valid\n",
       "70   instrument           voice     13  valid\n",
       "71   instrument     slideguitar      7  valid\n",
       "72   instrument           cello      5  valid\n",
       "85   mood/theme        relaxing     58  valid\n",
       "86   mood/theme         melodic     39  valid\n",
       "87   mood/theme           child     30  valid\n",
       "88   mood/theme         emotion     22  valid\n",
       "89   mood/theme      commercial     19  valid\n",
       "90   mood/theme           sport     19  valid\n",
       "91   mood/theme         fantasy     16  valid\n",
       "92   mood/theme       beautiful     14  valid\n",
       "93   mood/theme            soft     14  valid\n",
       "94   mood/theme       energetic     12  valid\n",
       "0         genre             pop    370    all\n",
       "1         genre      electronic    253    all\n",
       "2         genre   easylistening    197    all\n",
       "3         genre            rock    194    all\n",
       "4         genre      soundtrack    101    all\n",
       "5         genre       classical     76    all\n",
       "6         genre            jazz     74    all\n",
       "7         genre         popfolk     73    all\n",
       "8         genre            folk     72    all\n",
       "9         genre     alternative     68    all\n",
       "68   instrument           piano     89    all\n",
       "69   instrument            bass     87    all\n",
       "70   instrument            drum     65    all\n",
       "71   instrument  electricguitar     55    all\n",
       "72   instrument     synthesizer     49    all\n",
       "73   instrument          guitar     40    all\n",
       "74   instrument  acousticguitar     34    all\n",
       "75   instrument           voice     24    all\n",
       "76   instrument        computer     16    all\n",
       "77   instrument     slideguitar      7    all\n",
       "93   mood/theme        relaxing     87    all\n",
       "94   mood/theme         melodic     49    all\n",
       "95   mood/theme           child     30    all\n",
       "96   mood/theme         emotion     29    all\n",
       "97   mood/theme           drama     28    all\n",
       "98   mood/theme      commercial     28    all\n",
       "99   mood/theme            calm     24    all\n",
       "100  mood/theme       beautiful     20    all\n",
       "101  mood/theme           sport     19    all\n",
       "102  mood/theme         fantasy     16    all"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#keep only top 10 tags per type\n",
    "\n",
    "plot_data_valid = tags_df[tags_df[\"valid_subset\"]].groupby(\"type\").value_counts([\"tag\"]).reset_index(name=\"count\")\n",
    "plot_data_valid = plot_data_valid.groupby(\"type\").head(10)\n",
    "plot_data_all = tags_df.groupby(\"type\").value_counts([\"tag\"]).reset_index(name=\"count\")\n",
    "plot_data_all = plot_data_all.groupby(\"type\").head(10)\n",
    "plot_data_valid[\"subset\"] = \"valid\"\n",
    "plot_data_all[\"subset\"] = \"all\"\n",
    "#concat both dataframes\n",
    "plot_data = pd.concat([plot_data_valid, plot_data_all], axis=0)\n",
    "plot_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:47.831980Z",
     "start_time": "2023-08-11T15:06:43.396175Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1185e74c0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1138.38x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.catplot(data=tags_df, x=\"tag\", kind=\"count\", hue=\"type\", style=\"valid_subset\", height=5, aspect=2)\n",
    "g = sns.catplot(data=plot_data, x=\"tag\", y=\"count\", kind=\"bar\", hue=\"subset\", height=5, aspect=2)\n",
    "g.set_xticklabels(rotation=90)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:57.100900Z",
     "start_time": "2023-08-11T15:06:47.725426Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1185e4ca0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(data=plot_data, x=\"tag\", y=\"count\", kind=\"bar\", hue=\"subset\", col=\"type\", sharex=False, sharey=True, legend_out=False)\n",
    "g.set_xticklabels(rotation=90)\n",
    "g.set_axis_labels(\"\", \"Count\")\n",
    "g.set_titles(\"{col_name} tags\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:06:59.384788Z",
     "start_time": "2023-08-11T15:06:57.098278Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist_data_valid = tags_df[tags_df[\"valid_subset\"]]\n",
    "hist_data_valid = hist_data_valid[hist_data_valid[\"tag\"].isin(plot_data_valid[\"tag\"])]\n",
    "hist_data_valid[\"subset\"] = \"valid\"\n",
    "hist_data_all = tags_df[tags_df[\"tag\"].isin(plot_data_all[\"tag\"])].copy()\n",
    "hist_data_all[\"subset\"] = \"all\"\n",
    "hist_data = pd.concat([hist_data_valid, hist_data_all], axis=0)\n",
    "hist_data.drop(columns=[\"track\", \"artist\", \"album\", \"file\", \"duration\", \"track_id\", \"valid_subset\"], inplace=True)\n",
    "plot = sns.histplot(data=hist_data, x=\"tag\", hue=\"subset\", multiple=\"stack\")\n",
    "plot.xaxis.set_tick_params(rotation=90)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Facets/Aspects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import PorterStemmer\n",
    "\n",
    "stemmer = PorterStemmer()\n",
    "\n",
    "stopwords = stopwords.words(\"english\")\n",
    "stopwords = stopwords + [\".\", \",\", \";\", \"( \", \")\", \"'s\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('song', 358),\n",
       " ('guitar', 251),\n",
       " ('track', 162),\n",
       " ('vocal', 159),\n",
       " ('male', 143),\n",
       " ('instrument', 141),\n",
       " ('piano', 127),\n",
       " ('drum', 109),\n",
       " ('rock', 106),\n",
       " ('music', 99),\n",
       " ('featur', 94),\n",
       " ('feel', 81),\n",
       " ('synth', 81),\n",
       " ('pop', 81),\n",
       " ('voic', 79),\n",
       " ('electron', 78),\n",
       " ('acoust', 78),\n",
       " ('sound', 74),\n",
       " ('beat', 70),\n",
       " ('melodi', 60),\n",
       " ('femal', 58),\n",
       " ('play', 57),\n",
       " ('piec', 55),\n",
       " ('use', 49),\n",
       " ('electr', 45),\n",
       " ('start', 44),\n",
       " ('like', 44),\n",
       " ('vibe', 42),\n",
       " ('bass', 42),\n",
       " ('energet', 39),\n",
       " ('sing', 38),\n",
       " ('solo', 37),\n",
       " ('upbeat', 37),\n",
       " ('lead', 36),\n",
       " ('slow', 36),\n",
       " ('accompani', 35),\n",
       " ('classic', 35),\n",
       " ('make', 35),\n",
       " ('french', 34),\n",
       " ('danc', 33),\n",
       " ('background', 33),\n",
       " ('percuss', 32),\n",
       " ('give', 31),\n",
       " ('singer', 31),\n",
       " ('relax', 30),\n",
       " ('calm', 30),\n",
       " ('lyric', 29),\n",
       " ('back', 28),\n",
       " ('style', 28),\n",
       " ('string', 27),\n",
       " ('posit', 26),\n",
       " ('riff', 26),\n",
       " ('folk', 26),\n",
       " ('sad', 26),\n",
       " ('chord', 25),\n",
       " ('happi', 25),\n",
       " ('jazz', 25),\n",
       " ('rhythm', 24),\n",
       " ('soft', 24),\n",
       " ('ambient', 24),\n",
       " ('choru', 24),\n",
       " ('progress', 23),\n",
       " ('indi', 23),\n",
       " ('listen', 23),\n",
       " ('rap', 23),\n",
       " ('vocalist', 23),\n",
       " ('emot', 23),\n",
       " ('one', 22),\n",
       " ('effect', 22),\n",
       " ('base', 22),\n",
       " ('simpl', 22),\n",
       " ('tempo', 21),\n",
       " ('heavi', 21),\n",
       " ('synthes', 21),\n",
       " ('melod', 21),\n",
       " ('sung', 21),\n",
       " ('catchi', 21),\n",
       " ('build', 20),\n",
       " ('strong', 20),\n",
       " ('repetit', 20),\n",
       " ('intro', 20),\n",
       " ('genr', 19),\n",
       " ('love', 19),\n",
       " ('later', 19),\n",
       " ('countri', 19),\n",
       " ('brass', 18),\n",
       " ('distort', 18),\n",
       " ('sampl', 18),\n",
       " ('evok', 18),\n",
       " ('soundtrack', 18),\n",
       " ('ballad', 18),\n",
       " ('perfect', 18),\n",
       " ('drive', 18),\n",
       " ('live', 17),\n",
       " ('hope', 17),\n",
       " ('violin', 17),\n",
       " ('spanish', 17),\n",
       " ('fast', 16),\n",
       " ('movi', 16),\n",
       " ('perform', 16),\n",
       " ('blue', 15),\n",
       " ('metal', 15),\n",
       " ('latin', 15),\n",
       " ('section', 15),\n",
       " ('sens', 15),\n",
       " ('joy', 14),\n",
       " ('element', 14),\n",
       " ('tune', 14),\n",
       " ('organ', 14),\n",
       " ('melanchol', 14),\n",
       " ('consist', 13),\n",
       " ('altern', 13),\n",
       " ('could', 13),\n",
       " ('harmoni', 13),\n",
       " ('hip-hop', 13),\n",
       " ('regga', 13),\n",
       " ('get', 12),\n",
       " ('clap', 12),\n",
       " ('promin', 12),\n",
       " ('romant', 12),\n",
       " ('dreami', 12),\n",
       " ('dynam', 12),\n",
       " ('well', 12),\n",
       " ('trumpet', 12),\n",
       " ('uplift', 11),\n",
       " ('along', 11),\n",
       " ('funki', 11),\n",
       " ('clean', 11),\n",
       " ('line', 11),\n",
       " ('sooth', 11),\n",
       " ('layer', 11),\n",
       " ('fun', 11),\n",
       " ('modern', 11),\n",
       " ('peac', 11),\n",
       " ('mellow', 11),\n",
       " ('mysteri', 11),\n",
       " ('top', 11),\n",
       " ('throughout', 10),\n",
       " ('english', 10),\n",
       " ('want', 10),\n",
       " ('end', 10),\n",
       " ('mood', 10),\n",
       " ('game', 10),\n",
       " ('orchestr', 10),\n",
       " ('90', 10),\n",
       " ('follow', 10),\n",
       " ('remind', 10),\n",
       " ('convey', 10),\n",
       " ('jazzi', 10),\n",
       " ('hop', 10),\n",
       " ('vers', 10),\n",
       " ('mostli', 10),\n",
       " ('man', 10),\n",
       " ('flute', 10),\n",
       " ('bar', 10),\n",
       " ('accordion', 10),\n",
       " ('set', 9),\n",
       " ('danceabl', 9),\n",
       " ('someth', 9),\n",
       " ('open', 9),\n",
       " ('experiment', 9),\n",
       " ('chill', 9),\n",
       " ('dramat', 9),\n",
       " ('choir', 9),\n",
       " ('support', 9),\n",
       " ('variou', 9),\n",
       " ('harmonica', 9),\n",
       " ('edm', 9),\n",
       " ('ad', 9),\n",
       " ('fast-pac', 9),\n",
       " ('film', 9),\n",
       " ('influenc', 8),\n",
       " ('bright', 8),\n",
       " ('atmospher', 8),\n",
       " ('synthet', 8),\n",
       " ('bluesi', 8),\n",
       " ('nostalg', 8),\n",
       " ('pad', 8),\n",
       " ('pick', 8),\n",
       " ('smooth', 8),\n",
       " ('high', 8),\n",
       " ('join', 8),\n",
       " ('natur', 8),\n",
       " ('pleasant', 8),\n",
       " ('bell', 8),\n",
       " ('keyboard', 8),\n",
       " ('warm', 8),\n",
       " ('dark', 8),\n",
       " ('repeat', 7),\n",
       " ('middl', 7),\n",
       " ('creat', 7),\n",
       " ('video', 7),\n",
       " ('echo', 7),\n",
       " ('note', 7),\n",
       " ('strum', 7),\n",
       " ('band', 7),\n",
       " ('punk', 7),\n",
       " ('move', 7),\n",
       " ('someon', 7),\n",
       " ('intim', 7),\n",
       " ('combin', 7),\n",
       " ('tone', 7),\n",
       " ('summer', 7),\n",
       " ('hip', 7),\n",
       " ('club', 7),\n",
       " ('begin', 7),\n",
       " ('techno', 7),\n",
       " ('ska', 7),\n",
       " ('come', 7),\n",
       " ('slightli', 7),\n",
       " ('sentiment', 7),\n",
       " ('christma', 7),\n",
       " ('seem', 7),\n",
       " ('pace', 7),\n",
       " ('arrang', 7),\n",
       " ('tension', 7),\n",
       " ('slide', 7),\n",
       " ('mix', 7),\n",
       " ('lot', 7),\n",
       " ('typic', 7),\n",
       " ('futurist', 7),\n",
       " ('heard', 6),\n",
       " ('suitabl', 6),\n",
       " ('way', 6),\n",
       " ('two', 6),\n",
       " ('reminisc', 6),\n",
       " ('go', 6),\n",
       " ('cinemat', 6),\n",
       " ('kind', 6),\n",
       " ('part', 6),\n",
       " ('intens', 6),\n",
       " ('machin', 6),\n",
       " ('hand', 6),\n",
       " ('bit', 6),\n",
       " ('(', 6),\n",
       " ('2000', 6),\n",
       " ('time', 6),\n",
       " ('african', 6),\n",
       " ('b', 6),\n",
       " ('big', 6),\n",
       " ('energi', 6),\n",
       " ('head', 6),\n",
       " ('light', 6),\n",
       " ('around', 6),\n",
       " ('gentl', 6),\n",
       " ('reverber', 6),\n",
       " ('power', 6),\n",
       " ('theme', 6),\n",
       " ('finger', 6),\n",
       " ('moodi', 6)]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_content_stems = []\n",
    "stem_map = defaultdict(set)\n",
    "for caption in ds[\"tokenized\"]:\n",
    "    cnt_wrds = [word for word in caption if word not in stopwords]\n",
    "    for word in cnt_wrds:\n",
    "        stemmed_word = stemmer.stem(word)\n",
    "        stem_map[stemmed_word].add(word.lower())\n",
    "        all_content_stems.append(stemmed_word)\n",
    "\n",
    "cnt_wrd_ctr = Counter(all_content_stems)\n",
    "cnt_wrd_ctr.most_common(250)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "stem_count_df = pd.DataFrame.from_records(\n",
    "    [(word, count, stem_map[word]) for word, count in cnt_wrd_ctr.most_common()],\n",
    "    columns=[\"stem\", \"count\", \"mapped\"],\n",
    ")\n",
    "stem_count_df.to_csv(\"stem_count.csv\", index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1498\n",
      "137\n"
     ]
    }
   ],
   "source": [
    "print(len(cnt_wrd_ctr))\n",
    "print(len(list((word, freq) for word, freq in cnt_wrd_ctr.items() if freq > 10)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "stem_facet_df = pd.read_csv(\"stem_facets.csv\")\n",
    "stem2facet = stem_facet_df.set_index(\"stem\")[\"top_facets\"].to_dict()\n",
    "stem_count_df[\"top_facets\"] = stem_count_df[\"stem\"].map(stem2facet)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/dm/ry_6v9wd5wdbxhj7bqll13gm0000gn/T/ipykernel_78810/3032472546.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  facet_counts = stem_count_df[stem_count_df[\"count\"] >= 10].groupby([\"top_facets\"]).sum()\n"
     ]
    }
   ],
   "source": [
    "facet_counts = stem_count_df[stem_count_df[\"count\"] >= 10].groupby([\"top_facets\"]).sum()\n",
    "facet_counts = facet_counts.sort_values(by='count', ascending=False)\n",
    "facet_counts[\"percentage\"] = facet_counts[\"count\"] / facet_counts[\"count\"].sum() * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x118e24cd0>,\n",
       "  <matplotlib.patches.Wedge at 0x118e24be0>,\n",
       "  <matplotlib.patches.Wedge at 0x118e258d0>,\n",
       "  <matplotlib.patches.Wedge at 0x118e25f60>,\n",
       "  <matplotlib.patches.Wedge at 0x118e265f0>,\n",
       "  <matplotlib.patches.Wedge at 0x118e26c80>],\n",
       " [Text(0.8359629966470838, -1.293354502151992, 'Other'),\n",
       "  Text(-1.4461798546044506, -0.5293050426136617, 'Instrumentation'),\n",
       "  Text(-0.6231773930945486, 1.4082790691961173, 'Structure'),\n",
       "  Text(0.9257656556730371, 1.23067377918613, 'Genre/Style'),\n",
       "  Text(1.4304008361298395, 0.5705729120796537, 'Mood'),\n",
       "  Text(1.533310187334519, 0.14338713127816569, 'Texture')],\n",
       " [Text(0.379983180294129, -0.5878884100690873, '32%'),\n",
       "  Text(-0.6573544793656593, -0.24059320118802804, '25%'),\n",
       "  Text(-0.283262451406613, 0.6401268496345988, '23%'),\n",
       "  Text(0.4208025707604714, 0.5593971723573318, '11%'),\n",
       "  Text(0.6501821982408361, 0.2593513236725698, '6%'),\n",
       "  Text(0.696959176061145, 0.06517596876280259, '3%')])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(facet_counts[\"count\"], labels=facet_counts.index, colors=sns.color_palette(), autopct=\"%.0f%%\", counterclock=False, radius=1.4, pctdistance=0.5, wedgeprops=dict(width=0.5))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MusicCaps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100  1208  100  1208    0     0   2282      0 --:--:-- --:--:-- --:--:--  2323\n",
      "100 2870k  100 2870k    0     0  3284k      0 --:--:-- --:--:-- --:--:-- 3284k\n"
     ]
    }
   ],
   "source": [
    "# Download MusicCaps dataset\n",
    "!curl -O -L https://huggingface.co/datasets/google/MusicCaps/resolve/main/musiccaps-public.csv\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:08:29.966399Z",
     "start_time": "2023-08-11T15:08:29.946794Z"
    }
   },
   "outputs": [],
   "source": [
    "mc = pd.read_csv(\"musiccaps-public.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-08-11T15:08:29.949963Z"
    }
   },
   "outputs": [],
   "source": [
    "mc[\"tokenized\"] = mc[\"caption\"].str.lower().apply(word_tokenize)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-08-11T15:08:29.961038Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    5521.000000\n",
       "mean       54.843507\n",
       "std        18.755525\n",
       "min         4.000000\n",
       "25%        42.000000\n",
       "50%        53.000000\n",
       "75%        66.000000\n",
       "max       151.000000\n",
       "Name: tokenized, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentence_lengths = mc[\"tokenized\"].apply(len)\n",
    "sentence_lengths.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-11T15:08:30.075961Z",
     "start_time": "2023-08-11T15:08:29.979106Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vocabulary size: 6144\n"
     ]
    }
   ],
   "source": [
    "vocab_size = len(set([word for caption in mc[\"tokenized\"] for word in caption]))\n",
    "print(f\"Vocabulary size: {vocab_size}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-08-11T15:08:29.983833Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common trigrams: (the, song, is)                   1581\n",
      "(., this, song)                   1566\n",
      "(., the, song)                    1507\n",
      "(., there, is)                    1220\n",
      "(the, low, quality)               1208\n",
      "(low, quality, recording)         1205\n",
      "(quality, recording, features)    1181\n",
      "(in, the, background)             1119\n",
      "(there, is, a)                    1077\n",
      "(recording, features, a)           993\n",
      "(., it, sounds)                    938\n",
      "(may, be, playing)                 797\n",
      "(., the, tempo)                    785\n",
      "(song, may, be)                    776\n",
      "(this, song, may)                  770\n",
      "(the, tempo, is)                   769\n",
      "(this, is, a)                      746\n",
      "(., this, is)                      682\n",
      "(., there, are)                    625\n",
      "(instrumental, ., the)             562\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "trigrams = [trigram for caption in mc[\"tokenized\"] for trigram in zip(caption, caption[1:], caption[2:])]\n",
    "print(f\"Most common trigrams: {pd.Series(trigrams).value_counts().head(20)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-08-11T15:08:29.994212Z"
    }
   },
   "outputs": [],
   "source": []
  }
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