{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "group_number = 5\n",
    "class_model = 'distilbert'\n",
    "gen_model = 't5-tiny'\n",
    "# 경로 설정\n",
    "test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n",
    "class_path = f'0.class_document/{class_model}/{group_number}/test_p_c.csv'\n",
    "output_path = f'0.class_document/{class_model}/{gen_model}/{group_number}/test_p_c.csv'\n",
    "\n",
    "# 파일 읽기\n",
    "test_df = pd.read_csv(test_path)\n",
    "class_df = pd.read_csv(class_path)\n",
    "\n",
    "# 필요한 필드 선택\n",
    "fields_to_copy = ['c_thing', 'c_property', 'c_score', 'cthing_correct', 'cproperty_correct', 'ctp_correct']\n",
    "class_df_subset = class_df[fields_to_copy]\n",
    "\n",
    "# test_path에 필드 복사\n",
    "merged_df = pd.concat([test_df, class_df_subset], axis=1)\n",
    "\n",
    "# 결과 저장\n",
    "os.makedirs(os.path.dirname(output_path), exist_ok=True)\n",
    "merged_df.to_csv(output_path, index=False)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "torch",
   "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}