Datasets:
Formats:
parquet
Languages:
Korean
Size:
10K - 100K
Tags:
question-answering
multiple-choice
technical-certification
architecture
engineering
construction
License:
metadata
language:
- ko
license: cc-by-nc-4.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
- multiple-choice
pretty_name: kocem
dataset_info:
- config_name: Architectural_Planning
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 12459
num_examples: 3
- name: test
num_bytes: 109752
num_examples: 431
- name: val
num_bytes: 26046
num_examples: 35
download_size: 148257
dataset_size: 60428
- config_name: Building_System
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 13756
num_examples: 5
- name: test
num_bytes: 93470
num_examples: 334
- name: val
num_bytes: 23211
num_examples: 40
download_size: 130437
dataset_size: 48908
- config_name: Construction_Management
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 13512
num_examples: 5
- name: test
num_bytes: 117489
num_examples: 480
- name: val
num_bytes: 22125
num_examples: 32
download_size: 153126
dataset_size: 66572
- config_name: Domain_Reasoning
splits:
- name: dev
num_bytes: 17442
num_examples: 2
- name: test
num_bytes: 49166
num_examples: 108
- name: val
num_bytes: 14919
num_examples: 4
download_size: 81527
dataset_size: 15900
- config_name: Industry_Jargon
splits:
- name: dev
num_bytes: 12717
num_examples: 6
- name: extra
num_bytes: 7772
num_examples: 1
- name: test
num_bytes: 48852
num_examples: 576
- name: val
num_bytes: 17382
num_examples: 57
download_size: 86723
dataset_size: 92632
- config_name: Interior
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 13443
num_examples: 6
- name: test
num_bytes: 87305
num_examples: 342
- name: val
num_bytes: 25254
num_examples: 43
download_size: 126002
dataset_size: 50444
- config_name: Materials
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 15301
num_examples: 7
- name: test
num_bytes: 101600
num_examples: 398
- name: val
num_bytes: 24657
num_examples: 43
download_size: 141558
dataset_size: 57740
- config_name: Safety_Management
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 15024
num_examples: 4
- name: test
num_bytes: 111459
num_examples: 353
- name: val
num_bytes: 22753
num_examples: 40
download_size: 149236
dataset_size: 51212
- config_name: Standard_Nomenclature
splits:
- name: dev
num_bytes: 13153
num_examples: 4
- name: extra
num_bytes: 8199530
num_examples: 41321
- name: test
num_bytes: 99615
num_examples: 444
- name: val
num_bytes: 21190
num_examples: 44
download_size: 8333488
dataset_size: 5687096
- config_name: Structural_Engineering
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
dtype: string
- name: answer
dtype: string
- name: explanation
dtype: string
- name: image
dtype: image
- name: question_type
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: korean_national_technical_certification
dtype: string
- name: exam
dtype: string
- name: date
dtype: string
- name: subject
dtype: string
- name: human_acc
dtype: float32
- name: difficulty
dtype: string
- name: answer_key
dtype: string
splits:
- name: dev
num_bytes: 14779
num_examples: 5
- name: test
num_bytes: 54713
num_examples: 201
- name: val
num_bytes: 20339
num_examples: 25
download_size: 89831
dataset_size: 29964
configs:
- config_name: Architectural_Planning
data_files:
- split: dev
path: Architectural_Planning/dev_Architectural_Planning.parquet
- split: test
path: Architectural_Planning/test_Architectural_Planning.parquet
- split: val
path: Architectural_Planning/val_Architectural_Planning.parquet
- config_name: Building_System
data_files:
- split: dev
path: Building_System/dev_Building_System.parquet
- split: test
path: Building_System/test_Building_System.parquet
- split: val
path: Building_System/val_Building_System.parquet
- config_name: Construction_Management
data_files:
- split: dev
path: Construction_Management/dev_Construction_Management.parquet
- split: test
path: Construction_Management/test_Construction_Management.parquet
- split: val
path: Construction_Management/val_Construction_Management.parquet
- config_name: Domain_Reasoning
data_files:
- split: dev
path: Domain_Reasoning/dev_Domain_Reasoning.parquet
- split: test
path: Domain_Reasoning/test_Domain_Reasoning.parquet
- split: val
path: Domain_Reasoning/val_Domain_Reasoning.parquet
- config_name: Interior
data_files:
- split: dev
path: Interior/dev_Interior.parquet
- split: test
path: Interior/test_Interior.parquet
- split: val
path: Interior/val_Interior.parquet
- config_name: Industry_Jargon
data_files:
- split: dev
path: Industry_Jargon/dev_Industry_Jargon.parquet
- split: extra
path: Industry_Jargon/extra_Industry_Jargon.parquet
- split: test
path: Industry_Jargon/test_Industry_Jargon.parquet
- split: val
path: Industry_Jargon/val_Industry_Jargon.parquet
- config_name: Materials
data_files:
- split: dev
path: Materials/dev_Materials.parquet
- split: test
path: Materials/test_Materials.parquet
- split: val
path: Materials/val_Materials.parquet
- config_name: Safety_Management
data_files:
- split: dev
path: Safety_Management/dev_Safety_Management.parquet
- split: test
path: Safety_Management/test_Safety_Management.parquet
- split: val
path: Safety_Management/val_Safety_Management.parquet
- config_name: Standard_Nomenclature
data_files:
- split: dev
path: Standard_Nomenclature/dev_Standard_Nomenclature.parquet
- split: extra
path: Standard_Nomenclature/extra_Standard_Nomenclature.parquet
- split: test
path: Standard_Nomenclature/test_Standard_Nomenclature.parquet
- split: val
path: Standard_Nomenclature/val_Standard_Nomenclature.parquet
- config_name: Structural_Engineering
data_files:
- split: dev
path: Structural_Engineering/dev_Structural_Engineering.parquet
- split: test
path: Structural_Engineering/test_Structural_Engineering.parquet
- split: val
path: Structural_Engineering/val_Structural_Engineering.parquet
tags:
- question-answering
- multiple-choice
- technical-certification
- architecture
- engineering
- construction
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