{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lzma\n",
    "\n",
    "f = lzma.open('train/in.tsv.xz', mode='rt', encoding='utf-8')\n",
    "e = open('train/expected.tsv', 'r', encoding='utf-8')\n",
    "\n",
    "with open('train/gpt2-parsed.csv', 'w', encoding='utf-8') as file:\n",
    "    file.write(\"text\\n\")\n",
    "    for line, expected in zip(f, e):\n",
    "        separated = line.split('\\t')\n",
    "        first_part = separated[6][-100:].replace('\\n', ' ')\n",
    "        second_part = separated[7][:50].replace('\\n', ' ')\n",
    "        expected = expected.replace('\\n', '')\n",
    "\n",
    "        first_part = first_part.replace('\"', '')\n",
    "        second_part = second_part.replace('\"', '')\n",
    "        expected = expected.replace('\"', '')\n",
    "\n",
    "        first_part = first_part.replace(r'\\n', ' ')\n",
    "        second_part = second_part.replace(r'\\n', ' ')\n",
    "        expected = expected.replace(r'\\n', '')\n",
    "\n",
    "        file.write('\"' + first_part + \" \" + expected + \" \" + second_part + '\"\\n')\n",
    "\n",
    "f.close()\n",
    "e.close()"
   ]
  }
 ],
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