1.data_create.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_path='data/'\n",
    "train_path=data_path+'AutoMaster_TrainSet.csv'\n",
    "\n",
    "\n",
    "ARTICLE_FILE = data_path+\"train_text.txt\"\n",
    "SUMMARRY_FILE = data_path+\"train_label.txt\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train=pd.read_csv(train_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>QID</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Model</th>\n",
       "      <th>Question</th>\n",
       "      <th>Dialogue</th>\n",
       "      <th>Report</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Q1</td>\n",
       "      <td>奔驰</td>\n",
       "      <td>奔驰GL级</td>\n",
       "      <td>方向机重，助力泵，方向机都换了还是一样</td>\n",
       "      <td>技师说：[语音]|车主说：新的都换了|车主说：助力泵，方向机|技师说：[语音]|车主说：换了...</td>\n",
       "      <td>随时联系</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Q2</td>\n",
       "      <td>奔驰</td>\n",
       "      <td>奔驰M级</td>\n",
       "      <td>奔驰ML500排气凸轮轴调节错误</td>\n",
       "      <td>技师说：你这个有没有电脑检测故障代码。|车主说：有|技师说：发一下|车主说：发动机之前亮故障...</td>\n",
       "      <td>随时联系</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "  QID Brand  Model             Question  \\\n",
       "0  Q1    奔驰  奔驰GL级  方向机重，助力泵，方向机都换了还是一样   \n",
       "1  Q2    奔驰   奔驰M级     奔驰ML500排气凸轮轴调节错误   \n",
       "\n",
       "                                            Dialogue Report  \n",
       "0  技师说：[语音]|车主说：新的都换了|车主说：助力泵，方向机|技师说：[语音]|车主说：换了...   随时联系  \n",
       "1  技师说：你这个有没有电脑检测故障代码。|车主说：有|技师说：发一下|车主说：发动机之前亮故障...   随时联系  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train=train.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "train['merged'] = train[['Question', 'Dialogue']].apply(lambda x: ' '.join(x),axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_values(values,path):\n",
    "    with open(path,'w') as f:\n",
    "        for ar in values:\n",
    "            f.write(ar+'\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "write_values(train['merged'].values,ARTICLE_FILE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "write_values(train['Report'].values,SUMMARRY_FILE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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