58 lines
1.5 KiB
Plaintext
58 lines
1.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import os\n",
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"group_number = 5\n",
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"class_model = 'distilbert'\n",
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"gen_model = 't5-tiny'\n",
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"# 경로 설정\n",
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"test_path = f'../../translation/0.result/{group_number}/test_p.csv'\n",
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"class_path = f'0.class_document/{class_model}/{group_number}/test_p_c.csv'\n",
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"output_path = f'0.class_document/{class_model}/{gen_model}/{group_number}/test_p_c.csv'\n",
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"\n",
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"# 파일 읽기\n",
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"test_df = pd.read_csv(test_path)\n",
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"class_df = pd.read_csv(class_path)\n",
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"\n",
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"# 필요한 필드 선택\n",
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"fields_to_copy = ['c_thing', 'c_property', 'c_score', 'cthing_correct', 'cproperty_correct', 'ctp_correct']\n",
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"class_df_subset = class_df[fields_to_copy]\n",
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"\n",
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"# test_path에 필드 복사\n",
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"merged_df = pd.concat([test_df, class_df_subset], axis=1)\n",
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"\n",
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"# 결과 저장\n",
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"os.makedirs(os.path.dirname(output_path), exist_ok=True)\n",
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"merged_df.to_csv(output_path, index=False)\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "torch",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.14"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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