{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "def trans_tsv(filename):\n",
    "    res = []\n",
    "    with open(f'./{filename}.tsv', 'r', encoding='utf-8') as f:\n",
    "        for l in f.readlines():\n",
    "            title, content = l.split('\\t')\n",
    "            title, content = title.strip(), content.strip()\n",
    "            res.append(json.dumps({'title': title, 'abst': content}, ensure_ascii=False) + '\\n')\n",
    "    with open(f'./csl_title_{filename}.json', 'w', encoding='utf-8') as f:\n",
    "        f.writelines(res)\n",
    "\n",
    "trans_tsv('val')\n",
    "trans_tsv('train')\n",
    "trans_tsv('test')"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3.8.8 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "e42634819b8c191a5d07eaf23810ff32516dd8d3875f28ec3e488928fbd3c187"
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 },
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 "nbformat_minor": 2
}