| --- |
| license: apache-2.0 |
| language: |
| - ar |
| - bg |
| - cs |
| - de |
| - en |
| - es |
| - fr |
| - hi |
| - hr |
| - id |
| - it |
| - ja |
| - ko |
| - nl |
| - pl |
| - pt |
| - ro |
| - ru |
| - sv |
| - th |
| - tr |
| - vi |
| - zh |
| tags: |
| - construction |
| - cost-estimation |
| - quantity-surveying |
| - BIM |
| - construction-rates |
| - bill-of-quantities |
| - tabular |
| - parquet |
| - multilingual |
| size_categories: |
| - 1M<n<10M |
| pretty_name: CWICR — Construction Works, Items, Costs & Resources (30 Countries) |
| configs: |
| - config_name: default |
| data_files: |
| - split: ar |
| path: AR/*.parquet |
| - split: au |
| path: AU/*.parquet |
| - split: bg |
| path: BG/*.parquet |
| - split: cs |
| path: CS/*.parquet |
| - split: de |
| path: DE/*.parquet |
| - split: en |
| path: EN/*.parquet |
| - split: es |
| path: ES/*.parquet |
| - split: fr |
| path: FR/*.parquet |
| - split: hi |
| path: HI/*.parquet |
| - split: hr |
| path: HR/*.parquet |
| - split: id |
| path: ID/*.parquet |
| - split: it |
| path: IT/*.parquet |
| - split: ja |
| path: JA/*.parquet |
| - split: ko |
| path: KO/*.parquet |
| - split: mx |
| path: MX/*.parquet |
| - split: ng |
| path: NG/*.parquet |
| - split: nl |
| path: NL/*.parquet |
| - split: nz |
| path: NZ/*.parquet |
| - split: pl |
| path: PL/*.parquet |
| - split: pt |
| path: PT/*.parquet |
| - split: ro |
| path: RO/*.parquet |
| - split: ru |
| path: RU/*.parquet |
| - split: sv |
| path: SV/*.parquet |
| - split: th |
| path: TH/*.parquet |
| - split: tr |
| path: TR/*.parquet |
| - split: uk |
| path: UK/*.parquet |
| - split: us |
| path: US/*.parquet |
| - split: vi |
| path: VI/*.parquet |
| - split: za |
| path: ZA/*.parquet |
| - split: zh |
| path: ZH/*.parquet |
| --- |
| |
| # CWICR — Construction Works, Items, Costs & Resources |
|
|
| **A multilingual, machine-readable database of national construction rate books for 30 countries / language locales.** Each rate is fully decomposed into its work composition and resource breakdown (labour, machinery, materials), with unit prices, hierarchical classification, and physical parameters preserved in the source language. |
|
|
| This dataset is the **tabular source-of-truth** behind the [`cwicr-vector-db-bgem3-v3`](https://huggingface.co/datasets/DataDrivenConstruction/cwicr-vector-db-bgem3-v3) Qdrant snapshots. Use this repository when you need raw numeric data (prices, quantities, time norms); use the vector DB repository when you need semantic search over rate descriptions. |
|
|
| ## Contents per country |
|
|
| Each language directory (`AR/`, `BG/`, `CS/`, `DE/`, …) contains: |
|
|
| | File | Description | |
| |---|---| |
| | `<LANG>_<CITY>_workitems_costs_resources_DDC_CWICR.parquet` | Primary table — one row per (rate × resource). ~900K rows per country, 84 columns. | |
| | `DDC_CWICR_<LANG>_<CITY>_Catalog.csv` | Compact catalogue — one row per unique `rate_code` with title, unit, collection, hierarchy. ~55K rows per country. | |
| | `DDC_CWICR_<LANG>_<CITY>_Catalog.xlsx` | Same catalogue, Excel-formatted (auto-widths, frozen headers). | |
| | `README_DDC_CWICR_TABULAR_<LANG>_<CITY>.pdf` | Localised PDF documentation for that country's rate book. | |
| | `README.md` | Per-country quick reference (locale, collections, schema notes). | |
|
|
| Excel exports of the full table (`*_FORMATTED.xlsx`, `*_SIMPLE.xlsx`) are reproducible from the parquet and are kept in the source GitHub repository as Git LFS objects. |
|
|
| ## Schema (parquet — 84 columns) |
|
|
| The parquet preserves the full rate decomposition. A rate (e.g. *"Excavator 15 m³, soil class 2"*) is unfolded into multiple rows, one per resource it consumes (the excavator itself, fuel, operator labour, transport, etc.). Each row carries both rate-level fields (replicated across the rate's rows) and resource-level fields (unique per row). |
|
|
| Column groups: |
|
|
| - **Identification**: `rate_code`, `rate_original_name`, `rate_final_name`, `rate_unit`, `is_abstract` (parent aggregator vs. specific variant) |
| - **Hierarchy**: `category_type`, `department_code`, `department_name`, `section_name`, `subsection_name`, `collection_name` |
| - **Physical params**: `mass_name`, `mass_value`, `mass_unit` (preserves original semantics: "масса 1 шт.", "Gewicht", etc.) |
| - **Costs**: `rate_total_cost`, `rate_labour_cost`, `rate_materials_cost`, `rate_machinery_cost`, `rate_overhead`, `rate_profit`, `currency` |
| - **Work composition**: `work_composition_text` — full natural-language description of the work performed |
| - **Resources** (one row each): `resource_code`, `resource_name`, `resource_type`, `resource_quantity`, `resource_unit`, `resource_unit_cost`, `resource_total_cost` |
| - **Machinery taxonomy**: `machine_class1_name` … `machine_class3_name` — classification of machinery resources |
| - **Provenance**: `source_book`, `source_year`, `source_publisher`, `source_url` |
|
|
| All text fields are in the **source language of the rate book** (Russian, German, Chinese, Hindi, etc.). Unit symbols and numeric values are kept verbatim from the original publication. |
|
|
| ## Quick start (Python) |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load all rates for one country (parquet → in-memory Arrow table) |
| ds = load_dataset("DataDrivenConstruction/cwicr-construction-rates", split="de") |
| print(ds.column_names) |
| print(ds[0]) |
| |
| # Or load lazily with polars (recommended for >100K rows) |
| import polars as pl |
| df = pl.scan_parquet( |
| "hf://datasets/DataDrivenConstruction/cwicr-construction-rates/DE/DE_BERLIN_workitems_costs_resources_DDC_CWICR.parquet" |
| ).filter(pl.col("collection_name").str.contains("Erdarbeiten")).collect() |
| ``` |
|
|
| ## Quick start (CLI) |
|
|
| ```bash |
| # Download one country |
| huggingface-cli download DataDrivenConstruction/cwicr-construction-rates \ |
| --include "DE/*" --repo-type dataset --local-dir ./cwicr_de |
| |
| # Convert to CSV for quick inspection |
| python -c "import polars as pl; pl.read_parquet('cwicr_de/DE/DE_BERLIN_workitems_costs_resources_DDC_CWICR.parquet').write_csv('de.csv')" |
| ``` |
|
|
| ## Coverage |
|
|
| **30 locale-specific rate books** spanning **23 languages**: |
|
|
| | Region | Locales | |
| |---|---| |
| | Russian-speaking | RU (St. Petersburg / federal) | |
| | English-speaking | EN (Toronto), UK (London / GBP), US (USA / USD), AU (Sydney), NZ (Auckland), NG (Lagos), ZA (Johannesburg) | |
| | Spanish/Portuguese | ES (Barcelona), MX (Mexico City), PT (São Paulo) | |
| | Central/Eastern Europe | DE (Berlin), FR (Paris), IT (Rome), NL (Amsterdam), PL (Warsaw), CS (Prague), HR (Zagreb), BG (Sofia), RO (Bucharest), SV (Stockholm), TR (Istanbul) | |
| | Middle East / South Asia | AR (Dubai), HI (Mumbai) | |
| | East / Southeast Asia | ZH (Shanghai), JA (Tokyo), KO (Seoul), TH (Bangkok), VI (Hanoi), ID (Jakarta) | |
|
|
| Each rate book uses its **native classification system** (Russian СНиП codes, German DIN structures, US MasterFormat-style hierarchies, Chinese GB classifiers, etc.). The schema is unified across countries but the *values* in `collection_name` / `department_code` / etc. are in the source language and follow each country's own taxonomy. |
|
|
| ## Use cases |
|
|
| - **Cost estimation**: BIM quantity takeoff → match elements to rates → compute project cost in local currency |
| - **Cross-country price benchmarking**: compare the unit cost of equivalent works (e.g. concrete pouring) across markets |
| - **Construction-specific LLM fine-tuning**: rich multilingual corpus of technical construction language with structured grounding |
| - **Resource normalization research**: align machinery / material / labour ontologies across national catalogues |
| - **Quantity surveying education**: realistic worked examples in 23 languages |
|
|
| ## Related artifacts |
|
|
| - **Vector DB snapshots** (Qdrant, hybrid BGE-M3 dense + sparse + resources, ready to restore): |
| → [`DataDrivenConstruction/cwicr-vector-db-bgem3-v3`](https://huggingface.co/datasets/DataDrivenConstruction/cwicr-vector-db-bgem3-v3) |
| - **Source code / pipelines** (encoders, classifiers, search demos, BIM matchers): |
| → [`github.com/datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR`](https://github.com/datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR) |
|
|
| ## Data sources |
|
|
| CWICR aggregates publicly available national rate catalogues: |
|
|
| - **RU**: Federal Unified Rates (ФЕР / ТЕР), Ministry of Construction RF, regional indices. |
| - **EU**: National building cost compendia for each member state. |
| - **US/CA**: RSMeans-style cost data, MasterFormat-aligned. |
| - **CN/JP/KR/TH/VN/ID**: Government-published quota / norm catalogues. |
| - **Other**: Country-specific official sources cited in each rate's `source_book` field. |
|
|
| The CWICR pipeline normalises these into a single schema; the **rate codes, prices, and work compositions are preserved verbatim** from the originals. License applicability of underlying codes follows each catalogue's terms; this redistribution is for research and reference. Where redistribution is restricted, only derived metrics or anonymised samples are included. |
|
|
| ## Reproducibility |
|
|
| The CWICR pipeline (parsers, normalisers, classifiers) is open-source. Each parquet here is built by: |
|
|
| 1. Source-specific parser → standard `workitems_costs_resources` raw frame |
| 2. `v3_classifier.enrich_v3` → 29 indexed payload fields (collections, departments, physical params) |
| 3. `ost_ifc_mapping.base_code` → cross-language rate-code normalisation (lang/unit suffixes + inline tags) |
|
|
| See the source repository for full pipeline scripts. |
|
|
| ## License |
|
|
| Released under **Apache-2.0** for the dataset structure, normalisation pipeline, and derived metadata. Underlying rate codes and prices are sourced from publicly available national catalogues — each catalogue's terms of use apply to commercial redistribution of raw numeric values. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{cwicr_rates_2026, |
| author = {Boiko, Artem and DataDrivenConstruction}, |
| title = {CWICR — Construction Works, Items, Costs \& Resources (30 Countries)}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/DataDrivenConstruction/cwicr-construction-rates} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| - Source code & issue tracker: <https://github.com/datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR> |
| - Author: Artem Boiko (DataDrivenConstruction) |
| - Email: boikoartem@gmail.com |
|
|
