Systemy_dialogowe/evaluate/preprocess.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dc7f5718",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c22f479e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(line):\n",
    "    txt = line\n",
    "    txt = re.sub(\n",
    "        \"(£|§|@|#|\\$|%|\\^|&|\\*|\\(|\\)|_|-|\\+|=|\\{|\\[|\\}|\\]|:|;|\\\"|'|\\|\\\\|\\<|,|\\>|/|~|`|\\|–|–|)\",\n",
    "        \"\",\n",
    "        txt,\n",
    "    )\n",
    "    txt = txt.lower()\n",
    "    txt = re.sub(\"[0-9]\", \"\", txt)\n",
    "    txt = re.sub(\"[ \\t]+\", \" \", txt)\n",
    "    txt = re.sub(\" +$\", \"\", txt)\n",
    "    txt = re.sub(\"ą\", \"a\", txt)\n",
    "    txt = re.sub(\"ć\", \"c\", txt)\n",
    "    txt = re.sub(\"ę\", \"e\", txt)\n",
    "    txt = re.sub(\"ł\", \"l\", txt)\n",
    "    txt = re.sub(\"ń\", \"n\", txt)\n",
    "    txt = re.sub(\"ó\", \"o\", txt)\n",
    "    txt = re.sub(\"ś\", \"s\", txt)\n",
    "    txt = re.sub(\"ź\", \"z\", txt)\n",
    "    txt = re.sub(\"ż\", \"z\", txt)\n",
    "    return txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4e6b43e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        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>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Witam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Co możesz dla mnie zrobić?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jakie są moje repozytoria?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ok. co nowego w Zajęcia AI?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ok. co nowego w Zajęcia AI?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>upewniam się</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>pokaż mi raport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>zmienić</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>Tak</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>elo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>591 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               0\n",
       "0                          Witam\n",
       "1     Co możesz dla mnie zrobić?\n",
       "2     Jakie są moje repozytoria?\n",
       "3    ok. co nowego w Zajęcia AI?\n",
       "4    ok. co nowego w Zajęcia AI?\n",
       "..                           ...\n",
       "586               upewniam się  \n",
       "587           pokaż mi raport   \n",
       "588                    zmienić  \n",
       "589                       Tak   \n",
       "590                          elo\n",
       "\n",
       "[591 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed = pd.read_csv('in.tsv', sep='\\t', header=None)\n",
    "preprocessed = preprocessed.fillna('null')\n",
    "preprocessed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ca7e6cca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                            witam\n",
       "1       co mozesz dla mnie zrobic?\n",
       "2       jakie sa moje repozytoria?\n",
       "3      ok. co nowego w zajecia ai?\n",
       "4      ok. co nowego w zajecia ai?\n",
       "                  ...             \n",
       "586                   upewniam sie\n",
       "587                pokaz mi raport\n",
       "588                        zmienic\n",
       "589                            tak\n",
       "590                            elo\n",
       "Length: 591, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed = preprocessed.apply(lambda row : preprocess(row[0]),axis=1)\n",
    "preprocessed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d5153b79",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocessed.to_csv('in.tsv', sep='\\t', index=False, header=False)"
   ]
  }
 ],
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