{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "200e6aa0e51e40f4bb9b226a9c2743d5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "README.md:   0%|          | 0.00/1.21k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d0a3126bae1841ebaad270538537a05b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "2023_math-00000-of-00001.parquet:   0%|          | 0.00/14.5k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c35de5d0d6004fe5ad6ed253ce1fa5c1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "2024_math-00000-of-00001.parquet:   0%|          | 0.00/15.7k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9bd4552a43804c5b8083377b8aa82b67",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating 2023_math split:   0%|          | 0/46 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "36a17f59853646aabfd573d79d1b426e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating 2024_math split:   0%|          | 0/46 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "ds = load_dataset(\"cfpark00/KoreanSAT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    2023_math: Dataset({\n",
       "        features: ['id', 'name', 'problem', 'answer', 'score', 'review'],\n",
       "        num_rows: 46\n",
       "    })\n",
       "    2024_math: Dataset({\n",
       "        features: ['id', 'name', 'problem', 'answer', 'score', 'review'],\n",
       "        num_rows: 46\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 31,\n",
       " 'name': '23_calc',\n",
       " 'problem': '23. \\\\lim_{x \\\\to 0} \\\\frac{\\\\ln(x+1)}{\\\\sqrt{x+4} - 2} \\\\text{의 값은? [2점]}\\n\\n\\\\begin{itemize}\\n    \\\\item[1] 1\\n    \\\\item[2] 2\\n    \\\\item[3] 3\\n    \\\\item[4] 4\\n    \\\\item[5] 5\\n\\\\end{itemize}\\n',\n",
       " 'answer': 3,\n",
       " 'score': 2,\n",
       " 'review': None}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[\"2024_math\"][30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "venv1",
   "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": "3.8.9"
  }
 },
 "nbformat": 4,
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}