added wine attribute to csv

.gitattributes

@@ -1,3 +1,4 @@
+*.csv filter=lfs diff=lfs merge=lfs -text
 *.jsonl filter=lfs diff=lfs merge=lfs -text
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text

code/notebook.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,8 +99,8 @@
     "write_jsonl(df_vintages, '../data/vintages/vintages_dataset.jsonl')\n",
     "\n",
     "# LOAD IMAGES 'small'\n",
-    "df_small = df_image_review_attributes.sample(frac = 0.1)\n",
-    "write_jsonl(df_small, '../data/small/small_dataset.jsonl')\n",
+    "# df_small = df_image_review_attributes.sample(frac = 0.1)\n",
+    "# write_jsonl(df_small, '../data/small/small_dataset.jsonl')\n",
     "# df_napping\n",
     "# df_participant\n",
     "\n",
@@ -857,16 +857,298 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
+    "import json\n",
     "# read the json file\n",
     "with open('/Users/alka/Devel/GIT_LFS_SKIP_SMUDGE=1/metadata/all/all_dataset.jsonl') as json_file:\n",
     "    data = json_file.readlines()\n",
     "    data = [json.loads(line) for line in data] # convert string to dict format"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "data_df = pd.DataFrame(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "aa = data_df.copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove charactr p from the image column\n",
+    "aa['image'] = pd.DataFrame([item.replace('p/', '') for item in data_df.image if item is not None])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "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>vintage_id</th>\n",
+       "      <th>image</th>\n",
+       "      <th>review</th>\n",
+       "      <th>experiment_id</th>\n",
+       "      <th>year</th>\n",
+       "      <th>winery_id</th>\n",
+       "      <th>wine_alcohol</th>\n",
+       "      <th>country</th>\n",
+       "      <th>region</th>\n",
+       "      <th>price</th>\n",
+       "      <th>rating</th>\n",
+       "      <th>grape</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>150301706</td>\n",
+       "      <td>p/iVoa6qR6TSKjLeb1RoHWtQ.jpg</td>\n",
+       "      <td>Ничего особого в нем не нашел. В меру сухое, в...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>159555436</td>\n",
+       "      <td>p/e2W_085qRbCQbZJVp_tzHA.jpg</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>146958680</td>\n",
+       "      <td>p/DdLNo35SRiCMxpoKTiEXyQ.jpg</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2014691</td>\n",
+       "      <td>p/vi-1ygw7RXCM6Pnwx9C6CA.jpg</td>\n",
+       "      <td>3,3/5. Белая Риоха. Бленд на основе виуры (75%...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>153305559</td>\n",
+       "      <td>p/1pjborIfR1Wdlr35jEHbtA.jpg</td>\n",
+       "      <td>Parfum! Super frumos!</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>162913950</td>\n",
+       "      <td>p/kDz5LBlFRz2wb61xaMj_Dw.jpg</td>\n",
+       "      <td>Bom vinho</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>14230455</td>\n",
+       "      <td>p/EJQLq-qLShSP-uf2Tg-G1g.jpg</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>159888939</td>\n",
+       "      <td>p/MhhKQteWSXW0gYUNnvHs6A.jpg</td>\n",
+       "      <td>V nice whitr</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>3261951</td>\n",
+       "      <td>p/fdsdbl6XR2ynvoQnNYLXQQ.jpg</td>\n",
+       "      <td>Great label and ok tasting. Not the best but n...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>32363311</td>\n",
+       "      <td>p/BQkoD9sXQi-EIk3e2cG-YA.jpg</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   vintage_id                         image  \\\n",
+       "0   150301706  p/iVoa6qR6TSKjLeb1RoHWtQ.jpg   \n",
+       "1   159555436  p/e2W_085qRbCQbZJVp_tzHA.jpg   \n",
+       "2   146958680  p/DdLNo35SRiCMxpoKTiEXyQ.jpg   \n",
+       "3     2014691  p/vi-1ygw7RXCM6Pnwx9C6CA.jpg   \n",
+       "4   153305559  p/1pjborIfR1Wdlr35jEHbtA.jpg   \n",
+       "5   162913950  p/kDz5LBlFRz2wb61xaMj_Dw.jpg   \n",
+       "6    14230455  p/EJQLq-qLShSP-uf2Tg-G1g.jpg   \n",
+       "7   159888939  p/MhhKQteWSXW0gYUNnvHs6A.jpg   \n",
+       "8     3261951  p/fdsdbl6XR2ynvoQnNYLXQQ.jpg   \n",
+       "9    32363311  p/BQkoD9sXQi-EIk3e2cG-YA.jpg   \n",
+       "\n",
+       "                                              review  experiment_id  year  \\\n",
+       "0  Ничего особого в нем не нашел. В меру сухое, в...            NaN   NaN   \n",
+       "1                                               None            NaN   NaN   \n",
+       "2                                               None            NaN   NaN   \n",
+       "3  3,3/5. Белая Риоха. Бленд на основе виуры (75%...            NaN   NaN   \n",
+       "4                              Parfum! Super frumos!            NaN   NaN   \n",
+       "5                                          Bom vinho            NaN   NaN   \n",
+       "6                                               None            NaN   NaN   \n",
+       "7                                       V nice whitr            NaN   NaN   \n",
+       "8  Great label and ok tasting. Not the best but n...            NaN   NaN   \n",
+       "9                                               None            NaN   NaN   \n",
+       "\n",
+       "   winery_id  wine_alcohol country region  price  rating grape  \n",
+       "0        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "1        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "2        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "3        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "4        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "5        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "6        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "7        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "8        NaN           NaN    None   None    NaN     NaN  None  \n",
+       "9        NaN           NaN    None   None    NaN     NaN  None  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# write aa into jsonl format\n",
+    "write_jsonl(aa, '/Users/alka/Devel/GIT_LFS_SKIP_SMUDGE=1/metadata/all/all_dataset.jsonl')"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

data/csv/images_reviews_attributes.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52fa0b65c6c0c9d2030f7e6d893ee3be30b865da31346cd9cdfcb406c0983b74
+size 146174207