Datasets:

TIMWORK-inc
/

kds-kcs-standards

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
generated_at: string
summary: struct<api_total: int64, local_total: int64, kds_count: int64, kcs_count: int64, content_codes_count: int64, category_codes_count: int64>
description: struct<content_codes: string, category_codes: string>
category_codes: list<item: struct<codeType: string, code: string, name: string, has_content: bool, section_count: int64>>
content_codes_sample: list<item: struct<codeType: string, code: string, name: string, has_content: bool, section_count: int64>>
vs
no: int64
codeType: string
code: string
fullCode: string
name: string
version: string
updateDate: timestamp[s]
listParentCodes: list<item: struct<codeType: string, fullCode: string, name: string>>
list: list<item: null>
is_category: bool
downloaded_at: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              generated_at: string
              summary: struct<api_total: int64, local_total: int64, kds_count: int64, kcs_count: int64, content_codes_count: int64, category_codes_count: int64>
              description: struct<content_codes: string, category_codes: string>
              category_codes: list<item: struct<codeType: string, code: string, name: string, has_content: bool, section_count: int64>>
              content_codes_sample: list<item: struct<codeType: string, code: string, name: string, has_content: bool, section_count: int64>>
              vs
              no: int64
              codeType: string
              code: string
              fullCode: string
              name: string
              version: string
              updateDate: timestamp[s]
              listParentCodes: list<item: struct<codeType: string, fullCode: string, name: string>>
              list: list<item: null>
              is_category: bool
              downloaded_at: string

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KDS/KCS 한국 건설기준 데이터셋

국가건설기준센터(KCSC)에서 제공하는 **KDS(설계기준)**와 KCS(표준시방서) 데이터셋입니다.

데이터 개요

구분	설명	파일 수
KDS	Korean Design Standard (설계기준)	548
KCS	Korean Construction Specification (표준시방서)	769
합계		1,317

데이터 구조

data/
├── kds/
│   ├── 100000.json    # 공통설계기준
│   ├── 141000.json    # 콘크리트구조 일반사항
│   ├── 411015.json    # 콘크리트구조 설계기준
│   └── ...
├── kcs/
│   ├── 100000.json    # 공통시방
│   ├── 142010.json    # 콘크리트공사 일반사항
│   └── ...
└── metadata.json

JSON 스키마

각 파일은 다음 구조를 따릅니다:

{
  "no": 5783,
  "codeType": "KDS",
  "code": "411015",
  "fullCode": "2010411015",
  "name": "콘크리트구조 설계기준",
  "version": "2025",
  "updateDate": "2024-12-15T10:00:00",
  "listParentCodes": [
    {"codeType": "KDS", "fullCode": "41", "name": "건축구조"}
  ],
  "list": [
    {
      "no": 5783,
      "sort": 1,
      "title": "1. 일반사항",
      "level": 1,
      "content": "1.1 적용범위\n이 기준은 ...",
      "children": [...]
    }
  ],
  "downloaded_at": "2026-01-23T22:00:00"
}

필드 설명

필드	설명
`codeType`	"KDS" 또는 "KCS"
`code`	6자리 코드 (예: "411015")
`fullCode`	전체 코드 (예: "2010411015")
`name`	기준/시방서 명칭
`version`	버전 연도
`list`	본문 내용 (장/절/항 구조)
`is_category`	`true`면 상위 분류 코드 (본문 없음)

사용 방법

Python (datasets 라이브러리)

from datasets import load_dataset

# 전체 로드
dataset = load_dataset("TIMWORK-inc/kds-kcs-standards")

# 특정 파일 접근
import json
from huggingface_hub import hf_hub_download

file = hf_hub_download(
    "TIMWORK-inc/kds-kcs-standards",
    "data/kds/411015.json",
    repo_type="dataset"
)
with open(file) as f:
    data = json.load(f)

CLI

# 전체 다운로드
hf download TIMWORK-inc/kds-kcs-standards --repo-type dataset

# 특정 폴더만
hf download TIMWORK-inc/kds-kcs-standards data/kds --repo-type dataset

코드 체계

KDS (설계기준)

코드 범위	분야
10XXXX	공통설계기준
14XXXX	콘크리트구조
24XXXX	교량설계
41XXXX	건축구조
44XXXX	도로설계

KCS (표준시방서)

코드 범위	분야
10XXXX	공통시방
14XXXX	콘크리트공사
24XXXX	교량공사
41XXXX	건축공사
44XXXX	도로공사

출처

데이터 원본: 국가건설기준센터 (KCSC)
API: KCSC OpenAPI
라이선스: CC BY 4.0 (공공데이터)

업데이트

2026-01-23: 초기 버전 (KDS 548 + KCS 769 = 1,317개)

KDS/KCS는 연 1-2회 개정됩니다. 최신 버전은 KCSC 공식 사이트에서 확인하세요.

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