{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "for year in [2022,2023]:\n",
    "    for subject in [\"math\"]:\n",
    "        file_orig=f\"./data/json/{year}/{subject}_v1.json\"\n",
    "        file_dest=f\"./data/json/{year}/{subject}.json\"\n",
    "        with open(file_dest,\"w\") as f:\n",
    "            for line in open(file_orig,\"r\"):\n",
    "                data = json.loads(line)\n",
    "                if \"incomplete\" not in data:\n",
    "                    data[\"incomplete\"] = False\n",
    "                linewrite=json.dumps(data,ensure_ascii=False)\n",
    "                f.write(linewrite+\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a98671ee84414941b4533a3e983ba194",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data files:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fe778b5d74b342808a031a20efb4d7a2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Extracting data files:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ad24c53f78a040a8a7fcdae8b1d0e871",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating 2022_math split: 0 examples [00:00, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fa398f6b98c5481aae72e0433a6b36b2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating 2023_math split: 0 examples [00:00, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset=load_dataset(\"json\",data_files={\"2022_math\":\"./data/json/2022/math.json\",\n",
    "                                        \"2023_math\":\"./data/json/2023/math.json\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 1,\n",
       " 'name': '1',\n",
       " 'problem': '1. $\\\\left(2^{\\\\sqrt{3}} \\\\times 4\\\\right)^{\\\\sqrt{3} - 2}$ 의 값은? [2점] \\\\begin{itemize} \\\\item[1] \\\\frac{1}{4} \\\\item[2] \\\\frac{1}{2} \\\\item[3] 1 \\\\item[4] 2 \\\\item[5] 4 \\\\end{itemize}',\n",
       " 'answer': 2,\n",
       " 'score': 2,\n",
       " 'review': None,\n",
       " 'incomplete': False}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[\"2022_math\"][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c1882b4bf3aa43e8bfe63d0d98353ef8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Pushing dataset shards to the dataset hub:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4cad375e694c4f80a07f3c00271d7710",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Creating parquet from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6bc64540e82b4da2a25ae9181bc46127",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Deleting unused files from dataset repository:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e2d64acd927f47da8655ec427f9a6473",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Pushing dataset shards to the dataset hub:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2dc25cac4920406f86a0b76c0c0e7335",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Creating parquet from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c133269c18d242628d2a18c31765057f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Deleting unused files from dataset repository:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eaa619a21fdc48fdaf813fa744a0ef2e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading metadata:   0%|          | 0.00/1.24k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#save as parquet\n",
    "dataset.push_to_hub(\"cfpark00/KoreanSAT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv1",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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