├── .gitignore ├── COPYING ├── NOTICE ├── Notebook.ipynb ├── README.md ├── requirements.txt └── src ├── evaluator.py ├── generator.py └── utils ├── answers.json ├── bboxes.json ├── errors.json ├── points.json ├── submission.json ├── submission_test.json └── types.json /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. 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If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /NOTICE: -------------------------------------------------------------------------------- 1 | KoNET 2 | Copyright (c) 2025-present NAVER Cloud Corp. 3 | 4 | This program is free software: you can redistribute it and/or modify 5 | it under the terms of the GNU Affero General Public License as published by 6 | the Free Software Foundation, either version 3 of the License, or 7 | (at your option) any later version. 8 | 9 | This program is distributed in the hope that it will be useful, 10 | but WITHOUT ANY WARRANTY; without even the implied warranty of 11 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 12 | GNU Affero General Public License for more details. 13 | 14 | You should have received a copy of the GNU Affero General Public License 15 | along with this program. If not, see . 16 | 17 | -------------------------------------------------------------------------------------- 18 | 19 | This project contains subcomponents with separate copyright notices and license terms. 20 | Your use of the source code for these subcomponents is subject to the terms and conditions of the following licenses. 21 | 22 | ===== 23 | 24 | openai/openai-python 25 | https://github.com/openai/openai-python 26 | 27 | 28 | Copyright 2025 OpenAI 29 | 30 | Licensed under the Apache License, Version 2.0 (the "License"); 31 | you may not use this file except in compliance with the License. 32 | You may obtain a copy of the License at 33 | 34 | http://www.apache.org/licenses/LICENSE-2.0 35 | 36 | Unless required by applicable law or agreed to in writing, software 37 | distributed under the License is distributed on an "AS IS" BASIS, 38 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 39 | See the License for the specific language governing permissions and 40 | limitations under the License. 41 | 42 | ===== 43 | -------------------------------------------------------------------------------- /Notebook.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "### generate_KoNET" 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": 1, 13 | "metadata": {}, 14 | "outputs": [ 15 | { 16 | "name": "stderr", 17 | "output_type": "stream", 18 | "text": [ 19 | "[1/3] Downloading files: 100%|██████████| 72/72 [00:18<00:00, 4.00it/s]\n", 20 | "[2/3] Converting PDFs to images: 100%|██████████| 100/100 [01:42<00:00, 1.02s/it]\n", 21 | "[3/3] Extracting problem images: 100%|██████████| 2377/2377 [02:26<00:00, 16.23it/s]\n" 22 | ] 23 | }, 24 | { 25 | "data": { 26 | "text/html": [ 27 | "
\n", 28 | "\n", 41 | "\n", 42 | " \n", 43 | " \n", 44 | " \n", 45 | " \n", 46 | " \n", 47 | " \n", 48 | " \n", 49 | " \n", 50 | " \n", 51 | " \n", 52 | " \n", 53 | " \n", 54 | " \n", 55 | " \n", 56 | " \n", 57 | " \n", 58 | " \n", 59 | " \n", 60 | " \n", 61 | " \n", 62 | " \n", 63 | " \n", 64 | " \n", 65 | " \n", 66 | " \n", 67 | " \n", 68 | " \n", 69 | " \n", 70 | " \n", 71 | " \n", 72 | " \n", 73 | " \n", 74 | " \n", 75 | " \n", 76 | " \n", 77 | " \n", 78 | " \n", 79 | " \n", 80 | " \n", 81 | " \n", 82 | " \n", 83 | " \n", 84 | " \n", 85 | " \n", 86 | " \n", 87 | " \n", 88 | " \n", 89 | " \n", 90 | " \n", 91 | " \n", 92 | " \n", 93 | " \n", 94 | " \n", 95 | " \n", 96 | " \n", 97 | " \n", 98 | " \n", 99 | " \n", 100 | " \n", 101 | " \n", 102 | " \n", 103 | " \n", 104 | " \n", 105 | " \n", 106 | " \n", 107 | " \n", 108 | " \n", 109 | " \n", 110 | " \n", 111 | " \n", 112 | " \n", 113 | " \n", 114 | " \n", 115 | " \n", 116 | " \n", 117 | " \n", 118 | " \n", 119 | " \n", 120 | " \n", 121 | " \n", 122 | " \n", 123 | " \n", 124 | " \n", 125 | " \n", 126 | " \n", 127 | " \n", 128 | " \n", 129 | " \n", 130 | " \n", 131 | " \n", 132 | " \n", 133 | " \n", 134 | " \n", 135 | " \n", 136 | " \n", 137 | " \n", 138 | " \n", 139 | " \n", 140 | " \n", 141 | " \n", 142 | " \n", 143 | " \n", 144 | " \n", 145 | " \n", 146 | " \n", 147 | " \n", 148 | " \n", 149 | " \n", 150 | " \n", 151 | " \n", 152 | " \n", 153 | " \n", 154 | "
idximg_pathproblem_typeproblem_pointproblem_answerproblem_error
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1koeged_1st_Art_02data/images_problem/koeged_1st_Art_02.png41
2koeged_1st_Art_03data/images_problem/koeged_1st_Art_03.png34
3koeged_1st_Art_04data/images_problem/koeged_1st_Art_04.png14
4koeged_1st_Art_05data/images_problem/koeged_1st_Art_05.png21
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2372kocsat_1st_WorldHistory_16data/images_problem/kocsat_1st_WorldHistory_16...22359.1
2373kocsat_1st_WorldHistory_17data/images_problem/kocsat_1st_WorldHistory_17...432
2374kocsat_1st_WorldHistory_18data/images_problem/kocsat_1st_WorldHistory_18...23457.0
2375kocsat_1st_WorldHistory_19data/images_problem/kocsat_1st_WorldHistory_19...22252.2
2376kocsat_1st_WorldHistory_20data/images_problem/kocsat_1st_WorldHistory_20...423
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2377 rows × 6 columns

\n", 156 | "
" 157 | ], 158 | "text/plain": [ 159 | " idx \\\n", 160 | "0 koeged_1st_Art_01 \n", 161 | "1 koeged_1st_Art_02 \n", 162 | "2 koeged_1st_Art_03 \n", 163 | "3 koeged_1st_Art_04 \n", 164 | "4 koeged_1st_Art_05 \n", 165 | "... ... \n", 166 | "2372 kocsat_1st_WorldHistory_16 \n", 167 | "2373 kocsat_1st_WorldHistory_17 \n", 168 | "2374 kocsat_1st_WorldHistory_18 \n", 169 | "2375 kocsat_1st_WorldHistory_19 \n", 170 | "2376 kocsat_1st_WorldHistory_20 \n", 171 | "\n", 172 | " img_path problem_type \\\n", 173 | "0 data/images_problem/koeged_1st_Art_01.png 4 \n", 174 | "1 data/images_problem/koeged_1st_Art_02.png 4 \n", 175 | "2 data/images_problem/koeged_1st_Art_03.png 3 \n", 176 | "3 data/images_problem/koeged_1st_Art_04.png 1 \n", 177 | "4 data/images_problem/koeged_1st_Art_05.png 2 \n", 178 | "... ... ... \n", 179 | "2372 data/images_problem/kocsat_1st_WorldHistory_16... 2 \n", 180 | "2373 data/images_problem/kocsat_1st_WorldHistory_17... 4 \n", 181 | "2374 data/images_problem/kocsat_1st_WorldHistory_18... 2 \n", 182 | "2375 data/images_problem/kocsat_1st_WorldHistory_19... 2 \n", 183 | "2376 data/images_problem/kocsat_1st_WorldHistory_20... 4 \n", 184 | "\n", 185 | " problem_point problem_answer problem_error \n", 186 | "0 2 \n", 187 | "1 1 \n", 188 | "2 4 \n", 189 | "3 4 \n", 190 | "4 1 \n", 191 | "... ... ... ... \n", 192 | "2372 2 3 59.1 \n", 193 | "2373 3 2 \n", 194 | "2374 3 4 57.0 \n", 195 | "2375 2 2 52.2 \n", 196 | "2376 2 3 \n", 197 | "\n", 198 | "[2377 rows x 6 columns]" 199 | ] 200 | }, 201 | "metadata": {}, 202 | "output_type": "display_data" 203 | } 204 | ], 205 | "source": [ 206 | "from src.generator import generate_KoNET\n", 207 | "dataset = generate_KoNET()\n", 208 | "display(dataset)" 209 | ] 210 | }, 211 | { 212 | "cell_type": "markdown", 213 | "metadata": {}, 214 | "source": [ 215 | "### evaluate_KoNET" 216 | ] 217 | }, 218 | { 219 | "cell_type": "code", 220 | "execution_count": null, 221 | "metadata": {}, 222 | "outputs": [], 223 | "source": [ 224 | "import os\n", 225 | "os.environ[\"OPENAI_KEY\"] = \"\"" 226 | ] 227 | }, 228 | { 229 | "cell_type": "code", 230 | "execution_count": 3, 231 | "metadata": {}, 232 | "outputs": [ 233 | { 234 | "name": "stderr", 235 | "output_type": "stream", 236 | "text": [ 237 | "Evaluating submissions: 100%|██████████| 2377/2377 [02:38<00:00, 14.99it/s]" 238 | ] 239 | }, 240 | { 241 | "name": "stdout", 242 | "output_type": "stream", 243 | "text": [ 244 | "==============================\n", 245 | "KoNET Acc: 51.89% (55/106)\n", 246 | "- KoEGED Acc: 75.00% (15/20)\n", 247 | "- KoMGED Acc: 65.00% (13/20)\n", 248 | "- KoHGED Acc: 60.00% (12/20)\n", 249 | "- KoCSAT Acc: 32.61% (15/46)\n", 250 | "==============================\n" 251 | ] 252 | }, 253 | { 254 | "name": "stderr", 255 | "output_type": "stream", 256 | "text": [ 257 | "\n" 258 | ] 259 | } 260 | ], 261 | "source": [ 262 | "from src.evaluator import evaluate_KoNET\n", 263 | "result = evaluate_KoNET(submission_filepath=\"src/utils/submission_test.json\")\n", 264 | "print(result)" 265 | ] 266 | } 267 | ], 268 | "metadata": { 269 | "kernelspec": { 270 | "display_name": "test_2025", 271 | "language": "python", 272 | "name": "python3" 273 | }, 274 | "language_info": { 275 | "codemirror_mode": { 276 | "name": "ipython", 277 | "version": 3 278 | }, 279 | "file_extension": ".py", 280 | "mimetype": "text/x-python", 281 | "name": "python", 282 | "nbconvert_exporter": "python", 283 | "pygments_lexer": "ipython3", 284 | "version": "3.9.0" 285 | } 286 | }, 287 | "nbformat": 4, 288 | "nbformat_minor": 2 289 | } 290 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 | # KoNET: Korean National Education Test 4 | [![Paper](https://img.shields.io/badge/Paper-arxiv.2502.15422-orange)](https://arxiv.org/abs/2502.15422) 5 | [![Conference](https://img.shields.io/badge/NAACL-2025-red)]() 6 | 7 | Official Implementation of KoNET | [Paper](https://arxiv.org/abs/2502.15422) | [Poster](https://drive.google.com/file/d/1OhLqHHkotRZ_sX7m_Q0xnSuezvRSw-S3/view?usp=drive_link) | [Slide](https://drive.google.com/file/d/1JL4K90b5hJoOX3VmiP8c1A7k6gtXAC_X/view?usp=drive_link) 8 |
9 | 10 | ## Introduction 11 | **KoNET**, **Ko**rean **N**ational **E**ducation **T**est, a new benchmark designed to evaluate Multimodal Generative AI Systems using Korean national educational tests. KoNET consists of four levels of exams, corresponding to elementary, middle, high school, and college levels. These exams are renowned for their rigorous standards and diverse questions, facilitating a comprehensive analysis of AI performance across different educational levels. 12 | 13 | Our academic paper, which describes our method in detail and provides full experimental results and analyses, can be found here:
14 | > [**Evaluating Multimodal Generative AI with Korean Educational Standards**](https://arxiv.org/abs/2502.15422).
15 | > [Sanghee Park](https://scholar.google.com/citations?user=_ryVHp0AAAAJ) and [Geewook Kim](https://geewook.kim). In NAACL 2025. 16 | 17 | ## Software Installation 18 | - Requires-Python >=3.9 19 | 20 | ```bash 21 | git clone https://github.com/naver-ai/konet.git 22 | cd KoNET 23 | pip install -r requirements.txt 24 | ``` 25 | 26 | ## KoNET Generation Guide 27 | ```python 28 | from src.generator import generate_KoNET 29 | dataset = generate_KoNET() 30 | display(dataset) 31 | ``` 32 | ```bash 33 | [1/3] Downloading files: 100%|██████████| 72/72 [00:17<00:00, 4.19it/s] 34 | [2/3] Converting PDFs to images: 100%|██████████| 100/100 [01:41<00:00, 1.02s/it] 35 | [3/3] Extracting problem images: 100%|██████████| 2377/2377 [02:28<00:00, 15.97it/s] 36 | ``` 37 | 38 | ## KoNET Evaluation Guide 39 | - Submission File: 40 | - Please complete the [submission file](src/utils/submission.json). 41 | - Please refer to the [submission_test file](src/utils/submission_test.json) for guidance. 42 | - Cost Estimation (excluding vision tokens): 43 | - Based on `gpt-4o-mini-2024-07-18` (default): 44 | - Average Input Length: 2,000 characters 45 | - Average Output Length: 10 characters 46 | - Price per API Call: $0.0001 47 | - Estimated Cost for 2,377 Responses: ~$0.18 48 | - Comparison with Other Models: 49 | - `gpt-4o-2024-08-06`: $0.0013 per call → ~$3.04 50 | - `o1-2024-12-17`: $0.0077 per call → ~$18.26 51 | - The actual cost may vary from this estimate. 52 | - Result Variability: 53 | - Even with the same responses, results may vary depending on judgement API parameters (e.g., temperature, top_p, seed, etc.). 54 | - This benchmark includes questions from the "Listening" section, all of which will be marked as correct. 55 | 56 | ```python 57 | import os 58 | os.environ["OPENAI_KEY"] = "YOUR OPENAI KEY" 59 | ``` 60 | ```python 61 | from src.evaluator import evaluate_KoNET 62 | result = evaluate_KoNET(submission_filepath="src/utils/submission_test.json") 63 | print(result) 64 | ``` 65 | ```bash 66 | Evaluating submissions: 100%|██████████| 2377/2377 [02:38<00:00, 14.99it/s] 67 | ============================== 68 | KoNET Acc: 51.89% (55/106) 69 | - KoEGED Acc: 75.00% (15/20) 70 | - KoMGED Acc: 65.00% (13/20) 71 | - KoHGED Acc: 60.00% (12/20) 72 | - KoCSAT Acc: 32.61% (15/46) 73 | ============================== 74 | ``` 75 | 76 | ## How to Cite 77 | If you find our work useful in your work, please consider citing our paper: 78 | ``` 79 | @misc{park2025evaluatingmultimodalgenerativeai, 80 | title={Evaluating Multimodal Generative AI with Korean Educational Standards}, 81 | author={Sanghee Park and Geewook Kim}, 82 | year={2025}, 83 | eprint={2502.15422}, 84 | archivePrefix={arXiv}, 85 | primaryClass={cs.CL}, 86 | url={https://arxiv.org/abs/2502.15422}, 87 | } 88 | ``` 89 | 90 | ## License 91 | ``` 92 | KoNET 93 | Copyright (c) 2025-present NAVER Cloud Corp. 94 | 95 | This program is free software: you can redistribute it and/or modify 96 | it under the terms of the GNU Affero General Public License as published by 97 | the Free Software Foundation, either version 3 of the License, or 98 | (at your option) any later version. 99 | 100 | This program is distributed in the hope that it will be useful, 101 | but WITHOUT ANY WARRANTY; without even the implied warranty of 102 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 103 | GNU Affero General Public License for more details. 104 | 105 | You should have received a copy of the GNU Affero General Public License 106 | along with this program. If not, see . 107 | ``` 108 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | PyMuPDF 2 | pandas 3 | pillow 4 | tqdm 5 | openai 6 | requests -------------------------------------------------------------------------------- /src/evaluator.py: -------------------------------------------------------------------------------- 1 | """KoNET 2 | Copyright (c) 2025-present NAVER Cloud Corp. 3 | AGPL-3.0 4 | """ 5 | 6 | import base64 7 | import json 8 | import os 9 | from pathlib import Path 10 | 11 | from openai import OpenAI 12 | from tqdm import tqdm 13 | 14 | # Load API key from environment variables 15 | OPENAI_KEY = os.getenv("OPENAI_KEY") 16 | client = OpenAI(api_key=OPENAI_KEY) 17 | 18 | # Category and offset mapping 19 | OFFSET_MAP = { 20 | "kocsat_1st_KoreanLanguageMedia": 34, 21 | "kocsat_1st_KoreanSpeechWriting": 34, 22 | "kocsat_1st_MathematicsCalculus": 22, 23 | "kocsat_1st_MathematicsGeometry": 22, 24 | "kocsat_1st_MathematicsStatistics": 22, 25 | } 26 | LISTENING_PARTS = [ 27 | "kocsat_1st_English_01", 28 | "kocsat_1st_English_02", 29 | "kocsat_1st_English_03", 30 | "kocsat_1st_English_04", 31 | "kocsat_1st_English_05", 32 | "kocsat_1st_English_06", 33 | "kocsat_1st_English_07", 34 | "kocsat_1st_English_08", 35 | "kocsat_1st_English_09", 36 | "kocsat_1st_English_10", 37 | "kocsat_1st_English_11", 38 | "kocsat_1st_English_12", 39 | "kocsat_1st_English_13", 40 | "kocsat_1st_English_14", 41 | "kocsat_1st_English_15", 42 | "kocsat_1st_English_16", 43 | "kocsat_1st_English_17", 44 | ] 45 | 46 | CATEGORIES = ["KoEGED", "KoMGED", "KoHGED", "KoCSAT"] 47 | 48 | JUDGE_PROMPT = """ 49 | ## Answer 50 | {answer} 51 | 52 | ## Student's submitted solution 53 | {response} 54 | 55 | You are an AI responsible for grading exam answers. 56 | Compare the correct answer with the solution submitted by students. 57 | If they match, respond with "Correct." If they do not match, respond with "Incorrect." 58 | You are not solving the question; you are only comparing the given correct answer with the student's solution. 59 | """ 60 | 61 | 62 | def load_json(filepath: str) -> dict: 63 | """Load JSON file and return as a dictionary""" 64 | path = Path(filepath) 65 | if not path.exists(): 66 | raise FileNotFoundError(f"File not found: {filepath}") 67 | with path.open("r", encoding="utf-8") as file: 68 | return json.load(file) 69 | 70 | 71 | def save_json(data: dict, filepath: str): 72 | """Save dictionary as a JSON file""" 73 | with open(filepath, "w", encoding="utf-8") as f: 74 | json.dump(data, f, ensure_ascii=False, indent=4, sort_keys=True) 75 | 76 | 77 | def encode_image(image_path: str) -> str: 78 | """Encode an image as a Base64 string""" 79 | with open(image_path, "rb") as image_file: 80 | return base64.b64encode(image_file.read()).decode("utf-8") 81 | 82 | 83 | def openai_response( 84 | image_path: str, prompt: str, model: str = "gpt-4o-mini-2024-07-18" 85 | ) -> str: 86 | """Call OpenAI API to perform grading 87 | reference: https://github.com/openai/openai-python/blob/main/README.md 88 | """ 89 | try: 90 | response = client.chat.completions.create( 91 | model=model, 92 | messages=[ 93 | { 94 | "role": "user", 95 | "content": [ 96 | {"type": "text", "text": prompt}, 97 | { 98 | "type": "image_url", 99 | "image_url": { 100 | "url": f"data:image/jpeg;base64,{encode_image(image_path)}" 101 | }, 102 | }, 103 | ], 104 | } 105 | ], 106 | ) 107 | return response.choices[0].message.content 108 | except Exception as e: 109 | return str(e) 110 | 111 | 112 | def judgement_response(image_path: str, answer: str, response: str) -> str: 113 | """Compare student response with the correct answer and return grading result""" 114 | prompt = JUDGE_PROMPT.format(answer=answer, response=response) 115 | return openai_response(image_path=image_path, prompt=prompt) 116 | 117 | 118 | def process_submission_id(submission_id: str) -> tuple: 119 | """Extract category and adjusted question number from submission ID""" 120 | parts = submission_id.split("_") 121 | prefix = "_".join(parts[:-1]) 122 | question_number = int(parts[-1]) 123 | adjusted_index = question_number - OFFSET_MAP.get(prefix, 0) - 1 124 | return prefix, adjusted_index 125 | 126 | 127 | def evaluate_KoNET(submission_filepath: str = "src/utils/submission_test.json") -> str: 128 | """Evaluate KoNET model performance""" 129 | scores = {category: {"acc": 0, "cnt": 0} for category in CATEGORIES} 130 | result = {} 131 | 132 | try: 133 | submissions = load_json(submission_filepath) 134 | answers = load_json("src/utils/answers.json") 135 | except FileNotFoundError as e: 136 | return str(e) 137 | 138 | for submission in tqdm( 139 | submissions, total=len(submissions), desc="Evaluating submissions" 140 | ): 141 | if not submission.get("response"): 142 | continue 143 | 144 | category_prefix, adjusted_index = process_submission_id(submission["id"]) 145 | ground_truth = str(answers.get(category_prefix, [None])[adjusted_index]) 146 | 147 | if submission["id"] in LISTENING_PARTS: 148 | judgement = "Correct." 149 | else: 150 | judgement = judgement_response( 151 | image_path=f"data/images_problem/{submission['id']}.png", 152 | answer=ground_truth, 153 | response=submission["response"], 154 | ) 155 | 156 | for category in CATEGORIES: 157 | if category.lower() in submission["id"]: 158 | scores[category]["cnt"] += 1 159 | if judgement == "Correct.": 160 | scores[category]["acc"] += 1 161 | break 162 | 163 | result[submission["id"]] = { 164 | "answer": ground_truth, 165 | "response": submission["response"], 166 | "judgement": judgement, 167 | } 168 | 169 | result["meta"] = scores 170 | save_json(result, "./evaluation_output.json") 171 | 172 | # Calculate overall accuracy 173 | total_correct = sum(scores[cat]["acc"] for cat in CATEGORIES) 174 | total_count = sum(scores[cat]["cnt"] for cat in CATEGORIES) 175 | konet_score = 100 * total_correct / total_count if total_count else 0 176 | 177 | result_lines = [ 178 | "=" * 30, 179 | f"KoNET Acc: {konet_score:.2f}% ({total_correct}/{total_count})", 180 | ] 181 | 182 | for category in CATEGORIES: 183 | acc, cnt = scores[category]["acc"], scores[category]["cnt"] 184 | category_score = 100 * acc / cnt if cnt else 0 185 | result_lines.append(f"- {category} Acc: {category_score:.2f}% ({acc}/{cnt})") 186 | 187 | result_lines.append("=" * 30) 188 | return "\n".join(result_lines) 189 | -------------------------------------------------------------------------------- /src/generator.py: -------------------------------------------------------------------------------- 1 | """KoNET 2 | Copyright (c) 2025-present NAVER Cloud Corp. 3 | AGPL-3.0 4 | """ 5 | 6 | import io 7 | import json 8 | import os 9 | import zipfile 10 | from pathlib import Path 11 | 12 | import fitz # PyMuPDF 13 | import pandas as pd 14 | import requests 15 | from PIL import Image 16 | from tqdm import tqdm 17 | 18 | # Define paths 19 | DATA_DIR = Path("data") 20 | FIGURES_DIR = DATA_DIR / "figures" 21 | IMAGES_DIR = DATA_DIR / "images" 22 | PROBLEM_IMAGES_DIR = DATA_DIR / "images_problem" 23 | BBOX_FILE = Path("src/utils/bboxes.json") 24 | OFFSET_MAP = { 25 | "kocsat_1st_KoreanLanguageMedia": 34, 26 | "kocsat_1st_KoreanSpeechWriting": 34, 27 | "kocsat_1st_MathematicsCalculus": 22, 28 | "kocsat_1st_MathematicsGeometry": 22, 29 | "kocsat_1st_MathematicsStatistics": 22, 30 | } 31 | 32 | # Set headers for HTTP requests 33 | HEADERS = { 34 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/91.0.4472.124 Safari/537.36", 35 | "Referer": "https://www.kice.re.kr/", 36 | } 37 | 38 | 39 | def create_directory(path: Path) -> None: 40 | """Create a directory if it doesn't exist.""" 41 | path.mkdir(parents=True, exist_ok=True) 42 | 43 | 44 | def download_file(url: str, filepath: Path) -> bool: 45 | """Download a file from a URL and save it locally.""" 46 | try: 47 | response = requests.get(url, headers=HEADERS, stream=True) 48 | response.raise_for_status() 49 | with open(filepath, "wb") as f: 50 | for chunk in response.iter_content(1024): 51 | f.write(chunk) 52 | return True 53 | except requests.RequestException as e: 54 | print(f"Failed to download {url}: {e}") 55 | return False 56 | 57 | 58 | def unzip_file(zip_filepath: Path, extract_to: Path, rename_mapping: dict) -> None: 59 | """Extract and rename files from a ZIP archive.""" 60 | try: 61 | with zipfile.ZipFile(zip_filepath, "r") as zip_ref: 62 | zip_ref.extractall(extract_to) 63 | 64 | for old_name, new_name in rename_mapping.items(): 65 | old_path, new_path = extract_to / old_name, extract_to / new_name 66 | if old_path.exists(): 67 | os.rename(old_path, new_path) 68 | except zipfile.BadZipFile as e: 69 | print(f"Invalid ZIP file {zip_filepath}: {e}") 70 | 71 | 72 | def process_files(file_urls: dict, rename_mappings: dict) -> None: 73 | """Download and process files, extracting ZIP archives if necessary.""" 74 | create_directory(FIGURES_DIR) 75 | for url, filename in tqdm( 76 | file_urls.items(), 77 | desc="[1/3] Downloading files", 78 | total=72, 79 | ): 80 | filepath = FIGURES_DIR / filename 81 | if not filepath.exists() and not download_file(url, filepath): 82 | continue 83 | if filename.endswith(".zip"): 84 | unzip_file(filepath, FIGURES_DIR, rename_mappings) 85 | 86 | 87 | def extract_images_from_pdf(pdf_path: Path, zoom: int = 2) -> None: 88 | """Extract images from a PDF file and save them as PNG.""" 89 | doc = fitz.open(pdf_path) 90 | create_directory(IMAGES_DIR) 91 | 92 | for page_idx, page in enumerate(doc): 93 | output_filename = IMAGES_DIR / f"{pdf_path.stem}_{page_idx}.png" 94 | if not output_filename.exists(): 95 | image = page.get_pixmap(matrix=fitz.Matrix(zoom, zoom)) 96 | image.save(output_filename) 97 | 98 | 99 | def convert_pdf_to_images() -> None: 100 | """Convert all PDFs in the figures directory to images.""" 101 | for pdf_file in tqdm( 102 | FIGURES_DIR.glob("*.pdf"), 103 | desc="[2/3] Converting PDFs to images", 104 | total=100, 105 | ): 106 | extract_images_from_pdf(pdf_file) 107 | 108 | 109 | def load_json(file_path: Path): 110 | """Load a JSON file.""" 111 | with open(file_path, "r") as f: 112 | return json.load(f) 113 | 114 | 115 | def crop_images(img_dir: Path, img_paths: list, bboxes: list): 116 | """Crop images using bounding boxes and merge them if necessary.""" 117 | cropped_images = [ 118 | Image.open(img_dir / img).crop(bbox) for img, bbox in zip(img_paths, bboxes) 119 | ] 120 | if len(cropped_images) == 1: 121 | return cropped_images[0] 122 | 123 | width, height = max(img.width for img in cropped_images), sum( 124 | img.height for img in cropped_images 125 | ) 126 | merged_img = Image.new("RGB", (width, height), (255, 255, 255)) 127 | y_offset = 0 128 | for img in cropped_images: 129 | merged_img.paste(img, (0, y_offset)) 130 | y_offset += img.height 131 | return merged_img 132 | 133 | 134 | def extract_problem_images() -> None: 135 | """Extract and save problem images using bounding boxes.""" 136 | create_directory(PROBLEM_IMAGES_DIR) 137 | bbox_data = load_json(BBOX_FILE) 138 | 139 | for doc in tqdm( 140 | bbox_data, 141 | desc="[3/3] Extracting problem images", 142 | total=2377, 143 | ): 144 | output_path = PROBLEM_IMAGES_DIR / f"{doc['idx']}.png" 145 | if not output_path.exists(): 146 | cropped_img = crop_images(IMAGES_DIR, doc["img_path"], doc["bbox"]) 147 | cropped_img.save(output_path) 148 | 149 | 150 | def load_dataframe() -> pd.DataFrame: 151 | """Load and return a DataFrame with problem metadata.""" 152 | types, points, errors, answers = map( 153 | load_json, 154 | [ 155 | Path("src/utils/types.json"), 156 | Path("src/utils/points.json"), 157 | Path("src/utils/errors.json"), 158 | Path("src/utils/answers.json"), 159 | ], 160 | ) 161 | data = [] 162 | for img_file in PROBLEM_IMAGES_DIR.glob("*.png"): 163 | idx = img_file.stem 164 | idx_parts = idx.split("_") 165 | idx_prefix = "_".join(idx_parts[:-1]) 166 | number = int(idx_parts[-1]) 167 | 168 | if idx_prefix in OFFSET_MAP.keys(): 169 | number = number - OFFSET_MAP[idx_prefix] - 1 170 | else: 171 | number = number - 1 172 | 173 | data.append( 174 | { 175 | "idx": idx, 176 | "img_path": img_file, 177 | "problem_type": ( 178 | str(types.get(idx_prefix)[number]) if idx_prefix in types else "" 179 | ), 180 | "problem_point": ( 181 | str(points.get(idx_prefix)[number]) if idx_prefix in points else "" 182 | ), 183 | "problem_answer": str(answers.get(idx_prefix)[number]), 184 | "problem_error": errors.get(idx, ""), 185 | } 186 | ) 187 | return pd.DataFrame(data) 188 | 189 | 190 | def generate_KoNET() -> None: 191 | """Main function to download, extract, and process exam data.""" 192 | 193 | try: 194 | """ 195 | We fully understand the copyright of the problems used in relation to KoNET and believe that all copyrights should be respected. 196 | Therefore, we discourage the direct inclusion of images or the provision of PDF files within KoNET. 197 | Instead, we provide guidelines that allow users to download PDF files through publicly accessible links and use them to generate benchmarks. 198 | 199 | We strongly recommend that this approach be used solely for research purposes, rather than for commercial use. 200 | Additionally, please note that the guidelines may be subject to change if any related issues arise in the future. 201 | 202 | If you have any questions, please feel free to contact us at any time. 203 | Thank you. 204 | """ 205 | file_id = "1qOfYrkOzCzWvZxcWn60jLRTQZZuF48QN" 206 | url = f"https://drive.google.com/uc?export=download&id={file_id}" 207 | session = requests.Session() 208 | response = session.get(url, stream=True) 209 | file_content = io.BytesIO(response.content) 210 | FILE_URLS = json.load(file_content) 211 | except: 212 | """ 213 | You can also download the file directly from the Korea Institute for Curriculum and Evaluation (KICE) at https://www.kice.re.kr/sub/info.do?m=0303&s=kice. 214 | After downloading, please save the file in the data/figures directory. 215 | Additionally, all file names must be written in English only. When renaming the files, please refer to the files under the src/utils directory. 216 | """ 217 | FILE_URLS = {} 218 | 219 | RENAME_MAPPINGS = { 220 | "01 독일어Ⅰ_문제.pdf": "kocsat_1st_German1.pdf", 221 | "01 물리학Ⅰ_문제.pdf": "kocsat_1st_Physics1.pdf", 222 | "01 생활과 윤리_문제.pdf": "kocsat_1st_EthicsAndLife.pdf", 223 | "01 성공적인 직업생활_문제.pdf": "kocsat_1st_SuccessfulCareerLife.pdf", 224 | "02 농업 기초 기술_문제.pdf": "kocsat_1st_AgriculturalTechnology.pdf", 225 | "02 윤리와 사상_문제.pdf": "kocsat_1st_EthicsAndPhilosophy.pdf", 226 | "02 프랑스어Ⅰ_문제.pdf": "kocsat_1st_French1.pdf", 227 | "02 화학Ⅰ_문제.pdf": "kocsat_1st_Chemistry1.pdf", 228 | "03 공업 일반_문제.pdf": "kocsat_1st_IndustrialGeneral.pdf", 229 | "03 생명과학Ⅰ_문제.pdf": "kocsat_1st_Biology1.pdf", 230 | "03 스페인어Ⅰ_문제.pdf": "kocsat_1st_Spanish1.pdf", 231 | "03 한국지리_문제.pdf": "kocsat_1st_KoreanGeography.pdf", 232 | "04 상업 경제_문제.pdf": "kocsat_1st_BusinessEconomy.pdf", 233 | "04 세계지리_문제.pdf": "kocsat_1st_WorldGeography.pdf", 234 | "04 중국어Ⅰ_문제.pdf": "kocsat_1st_Chinese1.pdf", 235 | "04 지구과학Ⅰ_문제.pdf": "kocsat_1st_EarthScience1.pdf", 236 | "05 동아시아사_문제.pdf": "kocsat_1st_EastAsianHistory.pdf", 237 | "05 물리학Ⅱ_문제.pdf": "kocsat_1st_Physics2.pdf", 238 | "05 수산·해운 산업 기초_문제.pdf": "kocsat_1st_FisheryMaritimeIndustry.pdf", 239 | "05 일본어Ⅰ_문제.pdf": "kocsat_1st_Japanese1.pdf", 240 | "06 러시아어Ⅰ_문제.pdf": "kocsat_1st_Russian1.pdf", 241 | "06 세계사_문제.pdf": "kocsat_1st_WorldHistory.pdf", 242 | "06 인간 발달_문제.pdf": "kocsat_1st_HumanDevelopment.pdf", 243 | "06 화학Ⅱ_문제.pdf": "kocsat_1st_Chemistry2.pdf", 244 | "07 경제_문제.pdf": "kocsat_1st_Economics.pdf", 245 | "07 생명과학Ⅱ_문제.pdf": "kocsat_1st_Biology2.pdf", 246 | "07 아랍어Ⅰ_문제.pdf": "kocsat_1st_Arabic1.pdf", 247 | "08 베트남어Ⅰ_문제.pdf": "kocsat_1st_Vietnamese1.pdf", 248 | "08 정치와 법_문제.pdf": "kocsat_1st_PoliticsAndLaw.pdf", 249 | "08 지구과학Ⅱ_문제.pdf": "kocsat_1st_EarthScience2.pdf", 250 | "09 사회·문화_문제.pdf": "kocsat_1st_SocietyAndCulture.pdf", 251 | "09 한문Ⅰ_문제.pdf": "kocsat_1st_ClassicalChinese1.pdf", 252 | } 253 | process_files(FILE_URLS, RENAME_MAPPINGS) 254 | convert_pdf_to_images() 255 | extract_problem_images() 256 | return load_dataframe() 257 | 258 | 259 | if __name__ == "__main__": 260 | generate_KoNET() 261 | -------------------------------------------------------------------------------- /src/utils/answers.json: -------------------------------------------------------------------------------- 1 | { 2 | "kocsat_1st_AgriculturalTechnology": [ 3 | 5, 4 | 1, 5 | 4, 6 | 3, 7 | 3, 8 | 4, 9 | 1, 10 | 2, 11 | 4, 12 | 3, 13 | 2, 14 | 3, 15 | 5, 16 | 4, 17 | 3, 18 | 1, 19 | 5, 20 | 3, 21 | 2, 22 | 1 23 | ], 24 | "kocsat_1st_Arabic1": [ 25 | 2, 26 | 4, 27 | 2, 28 | 1, 29 | 3, 30 | 4, 31 | 1, 32 | 3, 33 | 4, 34 | 2, 35 | 5, 36 | 3, 37 | 5, 38 | 3, 39 | 1, 40 | 1, 41 | 2, 42 | 3, 43 | 4, 44 | 1, 45 | 5, 46 | 4, 47 | 1, 48 | 3, 49 | 5, 50 | 3, 51 | 5, 52 | 2, 53 | 2, 54 | 4 55 | ], 56 | "kocsat_1st_Biology1": [ 57 | 3, 58 | 3, 59 | 1, 60 | 1, 61 | 5, 62 | 4, 63 | 5, 64 | 2, 65 | 2, 66 | 5, 67 | 4, 68 | 1, 69 | 4, 70 | 4, 71 | 2, 72 | 3, 73 | 5, 74 | 5, 75 | 3, 76 | 4 77 | ], 78 | "kocsat_1st_Biology2": [ 79 | 4, 80 | 5, 81 | 1, 82 | 2, 83 | 3, 84 | 1, 85 | 5, 86 | 3, 87 | 3, 88 | 2, 89 | 2, 90 | 5, 91 | 4, 92 | 4, 93 | 1, 94 | 3, 95 | 2, 96 | 4, 97 | 3, 98 | 5 99 | ], 100 | "kocsat_1st_BusinessEconomy": [ 101 | 4, 102 | 5, 103 | 2, 104 | 4, 105 | 5, 106 | 4, 107 | 1, 108 | 5, 109 | 1, 110 | 4, 111 | 1, 112 | 1, 113 | 3, 114 | 3, 115 | 3, 116 | 4, 117 | 5, 118 | 5, 119 | 3, 120 | 2 121 | ], 122 | "kocsat_1st_Chemistry1": [ 123 | 3, 124 | 5, 125 | 4, 126 | 4, 127 | 2, 128 | 2, 129 | 3, 130 | 1, 131 | 5, 132 | 3, 133 | 1, 134 | 2, 135 | 3, 136 | 5, 137 | 4, 138 | 1, 139 | 5, 140 | 2, 141 | 3, 142 | 4 143 | ], 144 | "kocsat_1st_Chemistry2": [ 145 | 3, 146 | 5, 147 | 3, 148 | 4, 149 | 2, 150 | 4, 151 | 1, 152 | 2, 153 | 1, 154 | 2, 155 | 3, 156 | 4, 157 | 1, 158 | 5, 159 | 4, 160 | 1, 161 | 5, 162 | 4, 163 | 5, 164 | 1 165 | ], 166 | "kocsat_1st_Chinese1": [ 167 | 2, 168 | 5, 169 | 3, 170 | 3, 171 | 1, 172 | 1, 173 | 5, 174 | 3, 175 | 5, 176 | 4, 177 | 4, 178 | 5, 179 | 2, 180 | 3, 181 | 5, 182 | 1, 183 | 2, 184 | 2, 185 | 4, 186 | 5, 187 | 3, 188 | 1, 189 | 5, 190 | 4, 191 | 2, 192 | 2, 193 | 4, 194 | 3, 195 | 4, 196 | 1 197 | ], 198 | "kocsat_1st_ClassicalChinese1": [ 199 | 3, 200 | 5, 201 | 1, 202 | 3, 203 | 1, 204 | 3, 205 | 4, 206 | 4, 207 | 2, 208 | 3, 209 | 5, 210 | 3, 211 | 5, 212 | 1, 213 | 2, 214 | 1, 215 | 4, 216 | 3, 217 | 5, 218 | 2, 219 | 5, 220 | 4, 221 | 2, 222 | 1, 223 | 4, 224 | 5, 225 | 3, 226 | 1, 227 | 2, 228 | 4 229 | ], 230 | "kocsat_1st_EarthScience1": [ 231 | 4, 232 | 5, 233 | 5, 234 | 1, 235 | 3, 236 | 4, 237 | 3, 238 | 2, 239 | 1, 240 | 5, 241 | 3, 242 | 3, 243 | 2, 244 | 1, 245 | 4, 246 | 5, 247 | 3, 248 | 2, 249 | 5, 250 | 5 251 | ], 252 | "kocsat_1st_EarthScience2": [ 253 | 1, 254 | 3, 255 | 5, 256 | 2, 257 | 1, 258 | 4, 259 | 4, 260 | 2, 261 | 5, 262 | 1, 263 | 2, 264 | 3, 265 | 3, 266 | 4, 267 | 5, 268 | 1, 269 | 3, 270 | 5, 271 | 1, 272 | 3 273 | ], 274 | "kocsat_1st_EastAsianHistory": [ 275 | 3, 276 | 1, 277 | 3, 278 | 5, 279 | 4, 280 | 2, 281 | 5, 282 | 5, 283 | 3, 284 | 2, 285 | 5, 286 | 4, 287 | 5, 288 | 1, 289 | 2, 290 | 2, 291 | 5, 292 | 1, 293 | 3, 294 | 4 295 | ], 296 | "kocsat_1st_Economics": [ 297 | 2, 298 | 3, 299 | 1, 300 | 3, 301 | 5, 302 | 2, 303 | 3, 304 | 4, 305 | 5, 306 | 1, 307 | 4, 308 | 5, 309 | 3, 310 | 4, 311 | 5, 312 | 2, 313 | 1, 314 | 2, 315 | 4, 316 | 3 317 | ], 318 | "kocsat_1st_English": [ 319 | 5, 320 | 1, 321 | 4, 322 | 3, 323 | 2, 324 | 3, 325 | 4, 326 | 3, 327 | 4, 328 | 2, 329 | 5, 330 | 1, 331 | 5, 332 | 1, 333 | 1, 334 | 2, 335 | 3, 336 | 1, 337 | 1, 338 | 5, 339 | 4, 340 | 1, 341 | 2, 342 | 5, 343 | 4, 344 | 2, 345 | 3, 346 | 3, 347 | 2, 348 | 4, 349 | 2, 350 | 2, 351 | 5, 352 | 4, 353 | 3, 354 | 4, 355 | 4, 356 | 3, 357 | 4, 358 | 1, 359 | 2, 360 | 5, 361 | 5, 362 | 3, 363 | 3 364 | ], 365 | "kocsat_1st_EthicsAndLife": [ 366 | 1, 367 | 4, 368 | 1, 369 | 5, 370 | 2, 371 | 4, 372 | 3, 373 | 4, 374 | 1, 375 | 4, 376 | 4, 377 | 3, 378 | 5, 379 | 2, 380 | 2, 381 | 4, 382 | 2, 383 | 3, 384 | 3, 385 | 5 386 | ], 387 | "kocsat_1st_EthicsAndPhilosophy": [ 388 | 1, 389 | 3, 390 | 2, 391 | 5, 392 | 1, 393 | 4, 394 | 4, 395 | 3, 396 | 2, 397 | 2, 398 | 5, 399 | 4, 400 | 3, 401 | 5, 402 | 1, 403 | 4, 404 | 2, 405 | 5, 406 | 1, 407 | 4 408 | ], 409 | "kocsat_1st_FisheryMaritimeIndustry": [ 410 | 4, 411 | 1, 412 | 1, 413 | 5, 414 | 1, 415 | 4, 416 | 5, 417 | 2, 418 | 3, 419 | 3, 420 | 2, 421 | 1, 422 | 4, 423 | 5, 424 | 4, 425 | 3, 426 | 4, 427 | 3, 428 | 3, 429 | 2 430 | ], 431 | "kocsat_1st_French1": [ 432 | 3, 433 | 1, 434 | 3, 435 | 1, 436 | 2, 437 | 1, 438 | 4, 439 | 3, 440 | 2, 441 | 5, 442 | 2, 443 | 3, 444 | 3, 445 | 5, 446 | 2, 447 | 1, 448 | 4, 449 | 4, 450 | 5, 451 | 1, 452 | 5, 453 | 1, 454 | 4, 455 | 4, 456 | 5, 457 | 5, 458 | 3, 459 | 2, 460 | 5, 461 | 3 462 | ], 463 | "kocsat_1st_German1": [ 464 | 4, 465 | 2, 466 | 2, 467 | 1, 468 | 1, 469 | 5, 470 | 3, 471 | 2, 472 | 5, 473 | 1, 474 | 3, 475 | 4, 476 | 1, 477 | 5, 478 | 4, 479 | 2, 480 | 3, 481 | 3, 482 | 5, 483 | 2, 484 | 5, 485 | 1, 486 | 5, 487 | 2, 488 | 3, 489 | 5, 490 | 4, 491 | 2, 492 | 3, 493 | 4 494 | ], 495 | "kocsat_1st_HumanDevelopment": [ 496 | 4, 497 | 5, 498 | 2, 499 | 2, 500 | 1, 501 | 4, 502 | 1, 503 | 5, 504 | 3, 505 | 2, 506 | 3, 507 | 2, 508 | 4, 509 | 3, 510 | 1, 511 | 3, 512 | 5, 513 | 5, 514 | 3, 515 | 2 516 | ], 517 | "kocsat_1st_IndustrialGeneral": [ 518 | 2, 519 | 4, 520 | 5, 521 | 5, 522 | 4, 523 | 3, 524 | 2, 525 | 4, 526 | 4, 527 | 3, 528 | 1, 529 | 3, 530 | 5, 531 | 3, 532 | 1, 533 | 3, 534 | 5, 535 | 4, 536 | 1, 537 | 5 538 | ], 539 | "kocsat_1st_Japanese1": [ 540 | 2, 541 | 1, 542 | 1, 543 | 2, 544 | 5, 545 | 3, 546 | 5, 547 | 1, 548 | 4, 549 | 2, 550 | 4, 551 | 4, 552 | 5, 553 | 4, 554 | 2, 555 | 4, 556 | 1, 557 | 2, 558 | 4, 559 | 5, 560 | 5, 561 | 1, 562 | 3, 563 | 3, 564 | 5, 565 | 3, 566 | 5, 567 | 3, 568 | 1, 569 | 2 570 | ], 571 | "kocsat_1st_Korean": [ 572 | 5, 573 | 3, 574 | 1, 575 | 5, 576 | 3, 577 | 2, 578 | 2, 579 | 3, 580 | 1, 581 | 5, 582 | 2, 583 | 3, 584 | 1, 585 | 4, 586 | 4, 587 | 5, 588 | 4, 589 | 2, 590 | 1, 591 | 3, 592 | 5, 593 | 2, 594 | 1, 595 | 3, 596 | 3, 597 | 2, 598 | 5, 599 | 1, 600 | 4, 601 | 1, 602 | 2, 603 | 2, 604 | 3, 605 | 4 606 | ], 607 | "kocsat_1st_KoreanGeography": [ 608 | 4, 609 | 5, 610 | 2, 611 | 5, 612 | 1, 613 | 2, 614 | 1, 615 | 4, 616 | 3, 617 | 2, 618 | 5, 619 | 3, 620 | 4, 621 | 1, 622 | 5, 623 | 3, 624 | 4, 625 | 1, 626 | 2, 627 | 3 628 | ], 629 | "kocsat_1st_KoreanHistory": [ 630 | 5, 631 | 2, 632 | 5, 633 | 1, 634 | 2, 635 | 2, 636 | 3, 637 | 1, 638 | 2, 639 | 4, 640 | 3, 641 | 4, 642 | 1, 643 | 4, 644 | 1, 645 | 5, 646 | 2, 647 | 4, 648 | 5, 649 | 3 650 | ], 651 | "kocsat_1st_KoreanLanguageMedia": [ 652 | 4, 653 | 4, 654 | 1, 655 | 3, 656 | 4, 657 | 2, 658 | 1, 659 | 5, 660 | 3, 661 | 3, 662 | 5 663 | ], 664 | "kocsat_1st_KoreanSpeechWriting": [ 665 | 4, 666 | 5, 667 | 4, 668 | 4, 669 | 5, 670 | 1, 671 | 3, 672 | 3, 673 | 2, 674 | 5, 675 | 1 676 | ], 677 | "kocsat_1st_Mathematics": [ 678 | 1, 679 | 4, 680 | 2, 681 | 1, 682 | 4, 683 | 4, 684 | 5, 685 | 2, 686 | 4, 687 | 2, 688 | 1, 689 | 3, 690 | 1, 691 | 1, 692 | 3, 693 | 2, 694 | 8, 695 | 9, 696 | 32, 697 | 25, 698 | 10, 699 | 483 700 | ], 701 | "kocsat_1st_MathematicsCalculus": [ 702 | 3, 703 | 2, 704 | 4, 705 | 3, 706 | 1, 707 | 2, 708 | 162, 709 | 125 710 | ], 711 | "kocsat_1st_MathematicsGeometry": [ 712 | 4, 713 | 3, 714 | 2, 715 | 5, 716 | 3, 717 | 5, 718 | 11, 719 | 147 720 | ], 721 | "kocsat_1st_MathematicsStatistics": [ 722 | 3, 723 | 4, 724 | 5, 725 | 2, 726 | 2, 727 | 4, 728 | 196, 729 | 673 730 | ], 731 | "kocsat_1st_Physics1": [ 732 | 4, 733 | 2, 734 | 1, 735 | 1, 736 | 4, 737 | 2, 738 | 3, 739 | 3, 740 | 5, 741 | 1, 742 | 4, 743 | 2, 744 | 3, 745 | 3, 746 | 5, 747 | 5, 748 | 1, 749 | 5, 750 | 4, 751 | 2 752 | ], 753 | "kocsat_1st_Physics2": [ 754 | 1, 755 | 4, 756 | 1, 757 | 5, 758 | 1, 759 | 3, 760 | 3, 761 | 4, 762 | 5, 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| 2, 2400 | 2, 2401 | 2, 2402 | 2, 2403 | 2, 2404 | 2, 2405 | 2, 2406 | 2, 2407 | 2, 2408 | 2 2409 | ], 2410 | "komged_2nd_Mathematics": [ 2411 | 4, 2412 | 1, 2413 | 1, 2414 | 1, 2415 | 4, 2416 | 4, 2417 | 4, 2418 | 1, 2419 | 1, 2420 | 1, 2421 | 4, 2422 | 4, 2423 | 4, 2424 | 3, 2425 | 1, 2426 | 1, 2427 | 4, 2428 | 4, 2429 | 4, 2430 | 2 2431 | ], 2432 | "komged_2nd_Music": [ 2433 | 4, 2434 | 4, 2435 | 4, 2436 | 4, 2437 | 4, 2438 | 4, 2439 | 4, 2440 | 4, 2441 | 2, 2442 | 4, 2443 | 4, 2444 | 2, 2445 | 4, 2446 | 4, 2447 | 2, 2448 | 2, 2449 | 2, 2450 | 4, 2451 | 4, 2452 | 4, 2453 | 3, 2454 | 4, 2455 | 2, 2456 | 4, 2457 | 1 2458 | ], 2459 | "komged_2nd_PhysicalEducation": [ 2460 | 4, 2461 | 4, 2462 | 2, 2463 | 4, 2464 | 4, 2465 | 3, 2466 | 3, 2467 | 4, 2468 | 4, 2469 | 2, 2470 | 2, 2471 | 4, 2472 | 2, 2473 | 4, 2474 | 2, 2475 | 2, 2476 | 2, 2477 | 4, 2478 | 2, 2479 | 4, 2480 | 2, 2481 | 4, 2482 | 2, 2483 | 4, 2484 | 4 2485 | ], 2486 | "komged_2nd_Science": [ 2487 | 3, 2488 | 4, 2489 | 4, 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2583 | 4, 2584 | 4, 2585 | 2, 2586 | 4, 2587 | 2 2588 | ] 2589 | } --------------------------------------------------------------------------------