{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "from pyspark.sql import SparkSession\n",
    "import pandas as pd\n",
    "import polars as pl\n",
    "from tqdm.auto import tqdm, trange\n",
    "from concurrent.futures import ThreadPoolExecutor, as_completed\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "SCRATCH = r\"/scratch/IITB/ai-at-ieor/23m1521/datasets/Vaani\"\n",
    "DATADIR = r\"/home/IITB/ai-at-ieor/23m1521/datasets/Vaani\"\n",
    "JSON_PATH = os.path.join(DATADIR, \"Vaani_IIsc_Artpark_Full_Data.json\")\n",
    "# IMAGES_PATH = os.path.join(SCRATCH, \"Images\")\n",
    "IMAGES_PARQUETS = os.path.join(SCRATCH, \"images_parquets\")\n",
    "AUDIO_URLS = \"audio_urls.txt\"\n",
    "IMAGES_URLS = \"images_urls.txt\"\n",
    "IMAGE_ROOT_URL = 'https://vaani.iisc.ac.in/'\n",
    "METADATA_PATH = r\"/home/IITB/ai-at-ieor/23m1521/ashish/MTP/Vaani/Vaani-Images-Audio-MetaData.parquet\""
   ]
  },
  {
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   "execution_count": 2,
   "metadata": {},
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   "source": [
    "df = pd.read_parquet(METADATA_PATH)"
   ]
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       "      <td>female</td>\n",
       "      <td>Marathi</td>\n",
       "      <td>Audios/Aurangabad/IISc_VaaniProject_S_Maharash...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9584927</th>\n",
       "      <td>Images/IISc_VaaniProject_GENERIC_0554.jpg</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Chamarajanagar</td>\n",
       "      <td>female</td>\n",
       "      <td>Kannada</td>\n",
       "      <td>Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9584928</th>\n",
       "      <td>Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Chamarajanagar</td>\n",
       "      <td>female</td>\n",
       "      <td>Kannada</td>\n",
       "      <td>Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9584929</th>\n",
       "      <td>Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Chamarajanagar</td>\n",
       "      <td>female</td>\n",
       "      <td>Kannada</td>\n",
       "      <td>Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9584930</th>\n",
       "      <td>Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Chamarajanagar</td>\n",
       "      <td>female</td>\n",
       "      <td>Kannada</td>\n",
       "      <td>Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9584931</th>\n",
       "      <td>Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Chamarajanagar</td>\n",
       "      <td>female</td>\n",
       "      <td>Kannada</td>\n",
       "      <td>Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9584932 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                image_name        state  \\\n",
       "0        Images/IISc_VaaniProject_Aurangabad-SPECIFIC_0...  Maharashtra   \n",
       "1        Images/IISc_VaaniProject_Aurangabad-SPECIFIC_0...  Maharashtra   \n",
       "2        Images/IISc_VaaniProject_Aurangabad-SPECIFIC_0...  Maharashtra   \n",
       "3                Images/IISc_VaaniProject_GENERIC_0073.jpg  Maharashtra   \n",
       "4        Images/IISc_VaaniProject_Aurangabad-SPECIFIC_0...  Maharashtra   \n",
       "...                                                    ...          ...   \n",
       "9584927          Images/IISc_VaaniProject_GENERIC_0554.jpg    Karnataka   \n",
       "9584928  Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...    Karnataka   \n",
       "9584929  Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...    Karnataka   \n",
       "9584930  Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...    Karnataka   \n",
       "9584931  Images/IISc_VaaniProject_Chamrajnagar-SPECIFIC...    Karnataka   \n",
       "\n",
       "               district  gender audio_language  \\\n",
       "0            Aurangabad  female        Marathi   \n",
       "1            Aurangabad  female        Marathi   \n",
       "2            Aurangabad  female        Marathi   \n",
       "3            Aurangabad  female        Marathi   \n",
       "4            Aurangabad  female        Marathi   \n",
       "...                 ...     ...            ...   \n",
       "9584927  Chamarajanagar  female        Kannada   \n",
       "9584928  Chamarajanagar  female        Kannada   \n",
       "9584929  Chamarajanagar  female        Kannada   \n",
       "9584930  Chamarajanagar  female        Kannada   \n",
       "9584931  Chamarajanagar  female        Kannada   \n",
       "\n",
       "                                                audio_name  \n",
       "0        Audios/Aurangabad/IISc_VaaniProject_S_Maharash...  \n",
       "1        Audios/Aurangabad/IISc_VaaniProject_S_Maharash...  \n",
       "2        Audios/Aurangabad/IISc_VaaniProject_S_Maharash...  \n",
       "3        Audios/Aurangabad/IISc_VaaniProject_S_Maharash...  \n",
       "4        Audios/Aurangabad/IISc_VaaniProject_S_Maharash...  \n",
       "...                                                    ...  \n",
       "9584927  Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...  \n",
       "9584928  Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...  \n",
       "9584929  Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...  \n",
       "9584930  Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...  \n",
       "9584931  Audios/Chamrajn/IISc_VaaniProject_M_KA_Chamraj...  \n",
       "\n",
       "[9584932 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Hindi': 4620343, 'Bengali': 951726, 'Kannada': 885901, 'Telugu': 863810, 'Marathi': 586031, 'English': 380943, 'Maithili': 225261, 'Chhattisgarhi': 220323, 'Bhojpuri': 167664, 'Rajasthani': 112791, 'Garhwali': 98456, 'Urdu': 93432, 'Angika': 50361, 'Magahi': 42221, 'Konkani': 38341, 'Thethi(Maithili)': 24818, 'Marwari': 23130, 'Khortha': 21857, 'Halbi': 21039, 'Surjapuri': 17392, 'Tulu': 16933, 'Bajjika': 11384, 'Sadri': 11018, 'Malvani': 8789, 'Ahirani': 8649, 'Surgujia': 8246, 'Khari Boli': 7190, 'Bihari': 6766, 'Kurukh': 6747, 'Tamil': 6513, 'Awadhi': 6114, 'Kumaoni': 4361, 'Ahirani/Khandeshi': 4297, 'hindi': 4285, 'Beary': 3981, 'Santali': 3063, 'Bundeli': 2397, 'Gondi': 2364, 'Bhili': 2136, 'Malto': 2046, 'Malayalam': 1389, 'Bhatri': 1127, 'Chattishgarhi': 1078, 'Dorli': 1062, 'Jaipuri': 1033, 'Chattisgarhi': 757, 'Surgujia ': 509, 'Duruwa': 470, 'Sanskrit': 402, 'Gujarati': 383, 'Nepalese': 355, 'Aassamese': 342, 'Sindhi': 328, 'Punjabi': 258, 'Oriya': 255, 'Odia': 216, 'Arunachal': 195, 'Kashmiri': 187, 'Assamese': 176, 'Kudukh': 171, 'Marwadi': 166, 'Jaunsari': 156, 'Dogri': 138, 'telugu': 123, 'Bhotia': 118, 'Rajbangshi': 112, 'Gujrati': 94, 'Meitei': 93, 'Lambadi': 93, 'Agariya': 27}\n"
     ]
    }
   ],
   "source": [
    "print(df.audio_language.value_counts(normalize=False).to_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='audio_language'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 3000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,7))\n",
    "df.audio_language.value_counts(normalize=True).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2700x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_count = df.groupby(['state', 'district']).size().reset_index(name='count')\n",
    "df_pivot = df_count.pivot(index='state', columns='district', values='count').fillna(0)\n",
    "plt.figure(figsize=(27, 12))\n",
    "df_pivot.plot(kind='bar', stacked=True, colormap='tab20', ax=plt.gca())\n",
    "\n",
    "plt.ylabel('Count')\n",
    "plt.xlabel('State')\n",
    "plt.title('Stacked Bar Chart of Districts by State')\n",
    "plt.legend(title='District', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "# plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "image_name",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "state",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "district",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "gender",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "audio_language",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "audio_name",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "e3970a0c-aaa6-452d-a836-0542285b5a68",
       "rows": [
        [
         "0",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00559.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885658_MRACO_32387_0_10237.wav"
        ],
        [
         "1",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00404.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885688_MRACH_323525_10676_14796.wav"
        ],
        [
         "2",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00365.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885773_MRACS_92011_0_13216.wav"
        ],
        [
         "3",
         "Images/IISc_VaaniProject_GENERIC_0073.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885423_MRABC_323380_11266_20399.wav"
        ],
        [
         "4",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_01252.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10886492_MRACH_80994_515_9950.wav"
        ],
        [
         "5",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00369.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885712_MRACLT_323569_13981_21501.wav"
        ],
        [
         "6",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00404.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885688_MRACH_323525_0_5754.wav"
        ],
        [
         "7",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00137.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885641_MRACLT_323571_12610_21310.wav"
        ],
        [
         "8",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_01082.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885477_MRACH_323524_12546_20926.wav"
        ],
        [
         "9",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_01272.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885675_MRACH_80188_9499_19963.wav"
        ],
        [
         "10",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_01244.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885904_MRACLT_323572_818_11691.wav"
        ],
        [
         "11",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_00137.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885641_MRACLT_323571_498_12290.wav"
        ],
        [
         "12",
         "Images/IISc_VaaniProject_Aurangabad-SPECIFIC_01082.jpg",
         "Maharashtra",
         "Aurangabad",
         "female",
         "Marathi",
         "Audios/Aurangabad/IISc_VaaniProject_S_Maharashtra_Aurangabad_95220_10885477_MRACH_323524_1655_12345.wav"
        ],
        [
         "13",
         "Images/IISc_VaaniProject_GENERIC_0073.jpg",
         "Maharashtra",
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       "[128807 rows x 2 columns]"
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     },
     "execution_count": 32,
     "metadata": {},
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    }
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    "df.groupby(['image_name']).size().reset_index(name='count')"
   ]
  },
  {
   "cell_type": "code",
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       "      Height  Width  Channels  Count\n",
       "0        581   1032         3     93\n",
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       "3       1200    675         3   7161\n",
       "4        675   1200         3  18243\n",
       "...      ...    ...       ...    ...\n",
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       "\n",
       "[4420 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "image_dim_csv_path = r\"/home/IITB/ai-at-ieor/23m1521/ashish/MTP/Vaani/image_dimensions_count.csv\"\n",
    "\n",
    "img_dim = pd.read_csv(image_dim_csv_path)\n",
    "img_dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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         "min",
         "203.0",
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         "25%",
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         "50%",
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         "1.0"
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         "75%",
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         "4.0"
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         "max",
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         "38475.0"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Height</th>\n",
       "      <th>Width</th>\n",
       "      <th>Channels</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4420.000000</td>\n",
       "      <td>4420.000000</td>\n",
       "      <td>4420.0</td>\n",
       "      <td>4420.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>816.225566</td>\n",
       "      <td>949.618778</td>\n",
       "      <td>3.0</td>\n",
       "      <td>29.141855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>260.215789</td>\n",
       "      <td>204.559922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>720.822915</td>\n",
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       "      <th>min</th>\n",
       "      <td>203.000000</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>586.000000</td>\n",
       "      <td>747.750000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>780.000000</td>\n",
       "      <td>999.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>75%</th>\n",
       "      <td>1064.000000</td>\n",
       "      <td>1135.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>38475.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Height        Width  Channels         Count\n",
       "count  4420.000000  4420.000000    4420.0   4420.000000\n",
       "mean    816.225566   949.618778       3.0     29.141855\n",
       "std     260.215789   204.559922       0.0    720.822915\n",
       "min     203.000000   318.000000       3.0      1.000000\n",
       "25%     586.000000   747.750000       3.0      1.000000\n",
       "50%     780.000000   999.000000       3.0      1.000000\n",
       "75%    1064.000000  1135.000000       3.0      4.000000\n",
       "max    1200.000000  1200.000000       3.0  38475.000000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_dim.describe()"
   ]
  }
 ],
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