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korean_national_technical_certification
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dev_Architectural_Planning_1222
사무소 건축에서 유효율이 의미하는 것은?
['연면적에 대한 건축면적의 비율', '연면적에 대한 대실면적의 비율', '건축면적에 대한 대실면적의 비율' '기준층 면적에 대한 대실면적의 비율']
연면적에 대한 대실면적의 비율
Not supported with pagination yet
multiple-choice
Domain Knowledge
Architectural_Planning
산업기사
건축산업기사
2018-04-28
1과목 : 건축계획
0.68
Medium
B
dev_Architectural_Planning_1067
우리나라 건축제도에서 사용하는 투영법은?
['제1각법', '제2각법', '제3각법', '제4각법']
제3각법
Not supported with pagination yet
multiple-choice
Domain Knowledge
Architectural_Planning
기능사
전산응용건축제도기능사
2001-07-22
3과목 : 건축계획 및 제도
0.75
Medium
C
dev_Architectural_Planning_303
다음 중 근린생활권의 주택지의 단위에 속하지 않는 것은?
['인보구', '가로 구역', '근린 분구', '근린 주구']
가로 구역
Not supported with pagination yet
multiple-choice
Domain Knowledge
Architectural_Planning
기능사
전산응용건축제도기능사
2012-10-20
3과목 : 건축계획 및 제도
0.81
Easy
B

The KoCEM 1.0 is the original implementation of the dataset from the paper: ... The benchmark is a collection of ... instances across 6 tasks: field_words, standard_nomenclature, domain_knowledge, .... To replicate the studies from the paper, see below.

Dataset Overview

Task Instances Version Explanation
industry_jargon 657 v1.0 Multiple-choice questions about the Jargon of Construction Management from ...
standard_nomenclature 41,813 v1.0 Multiple-choice questions about Standard Nomenclature from ...
domain_knowledge 20,519 v1.0 Multiple-choice questions about Domain Knowledge from ...
domain_reasoning ... v1.0 Multiple-choice questions about Domain Knowledge from ...
drawing_interpretation ... v1.0 Multiple-choice questions about Domain Knowledge from ...
comprehensive_reasoning ... v1.0 Multiple-choice questions about Domain Knowledge from ...
Total ...

Evaluation Code

To perform the following process, installation of this package must be completed in advance.

Utilizing Commercial API

export OPENAI_API_KEY=YOUR_KEY_HERE
lm_eval --model openai-completions \
        --model_args model=davinci-002 \
        --tasks kocem_standard_nomenclature \
        --log_samples \
        --output_path results

Evaluating with HF SDK

lm_eval --model hf \
        --model_args pretrained=EleutherAI/polyglot-ko-12.8b \
        --tasks kocem_standard_nomenclature \
        --device cuda:0 \
        --batch_size auto:4 \
        --log_samples \
        --output_path results

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