Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<太陽光パネルメーカー別品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 蓄電池メーカー別品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, スイッチ・コンセント品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, カーテン・ブラインド全種類: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 舗装材詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 仮設・建設機械リース詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 工事保険・保証費用: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 残土・産廃品目別処分費: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, コンクリート添加剤・特殊材: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 造作家具・オーダー家具: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 植栽・造園資材詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 住宅性能評価・申請費用: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 特殊塗装・防錆・耐熱塗装: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>>
to
{'仮設工事': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '基礎工事': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('float64'), 'memo': Value('string')}), '木構造材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '構造用合板・面材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '金物・ビス・釘': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '断熱材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '屋根材・防水': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '外壁材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '木製建具・サッシ': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '内装下地材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '内装仕上げ材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '水回り設備': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '給排水配管材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '電気配線材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '外構・仕上げ': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '塗装・コーキング材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '資材高騰情報_2026年4月': {'総合指数_2021年比': Value('string'), '直近_2024年12月比': Value('string'), '特に高騰している品目': List(Value('string')), '品薄・納期遅延品目': List(Value('string')), '出典': Value('string')}}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<太陽光パネルメーカー別品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 蓄電池メーカー別品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, スイッチ・コンセント品番: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, カーテン・ブラインド全種類: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 舗装材詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 仮設・建設機械リース詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 工事保険・保証費用: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 残土・産廃品目別処分費: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, コンクリート添加剤・特殊材: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 造作家具・オーダー家具: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 植栽・造園資材詳細: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 住宅性能評価・申請費用: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>, 特殊塗装・防錆・耐熱塗装: list<item: struct<name: string, unit: string, unit_price: int64, memo: string>>>
              to
              {'仮設工事': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '基礎工事': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('float64'), 'memo': Value('string')}), '木構造材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '構造用合板・面材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '金物・ビス・釘': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '断熱材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '屋根材・防水': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '外壁材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '木製建具・サッシ': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '内装下地材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '内装仕上げ材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '水回り設備': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '給排水配管材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '電気配線材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '外構・仕上げ': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '塗装・コーキング材': List({'name': Value('string'), 'unit': Value('string'), 'unit_price': Value('int64'), 'standard_qty_30tsubo': Value('int64'), 'memo': Value('string')}), '資材高騰情報_2026年4月': {'総合指数_2021年比': Value('string'), '直近_2024年12月比': Value('string'), '特に高騰している品目': List(Value('string')), '品薄・納期遅延品目': List(Value('string')), '出典': Value('string')}}

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Japan Construction Cost Database (JCCDB)

An openly licensed structured dataset linking residential construction plan-level pricing, contractor-size-tier margin ranges, and fraud-detection patterns for the Japanese market.

Overview

JCCDB is the first openly licensed dataset of its kind for Japan's ¥7.35-trillion-per-year residential renovation market. It comprises:

  • 87 construction plans across 7 renovation categories (roof, termite control, water heater, window, bathroom, kitchen, electrical)
  • 88 fraud-detection patterns annotated by severity
  • 4-tier contractor-size margin ranges (sole proprietor → mid-size → major → national chain)
  • Pricing grounded in 2026 Kanto-region trade-price data and 30 years of construction management experience
  • Quarterly recalibration via Bank of Japan CGPI integration

Use Cases

  • Training and evaluating LLM-based cost estimation systems
  • Consumer-protection research and fraud detection benchmarks
  • Cross-country comparative construction-economics analysis
  • Real-world LLM application case studies in non-English markets

Citation

@misc{oga2026jccdb,
  title  = {Japan Construction Cost Database: An Open Dataset for LLM-Based Cost Estimation and Fraud Detection in Residential Renovation},
  author = {Oga, Toshikatsu},
  year   = {2026},
  doi    = {10.31224/7007},
  url    = {https://engrxiv.org/preprint/view/7007}
}

Links

License

Creative Commons Attribution 4.0 International (CC-BY 4.0). Free for commercial and non-commercial use with attribution.

Author

Toshikatsu Oga — The HORIZ音s Co., Ltd. (Japan) 30 years in residential construction (carpenter → site supervisor → CM → AI engineer)

Downloads last month
56