{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "import jsonlines\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "with jsonlines.open('lichess_data.jsonl', 'a') as writer:\n",
    "    with open(\"lichess_game_data.txt\", 'r') as readf:\n",
    "        line = readf.readline()\n",
    "        count = 0\n",
    "        while line:\n",
    "            data_line = {'id': count, 'pgn': line}\n",
    "            writer.write(data_line)\n",
    "            line = readf.readline()\n",
    "            count += 1"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "chess",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}