# OpenConstructionEstimate — Thailand / Bangkok **Construction Work Items, Components & Resources** --- | Property | Value | |---|---| | Reference region | Thailand / Bangkok | | ISO country | TH | | Language | `th` | | Currency | `THB` (ISO 4217) | | Source track | `UK_GBP` (United Kingdom / London) | | Generated | 2026-04-30 | | Work items | 900,225 rows | | Unique resources | 6,670 | ## Available Formats | Format | File | |---|---| | Parquet | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR.parquet` | | Excel (formatted) | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR_FORMATTED.xlsx` | | Excel (simple) | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR_SIMPLE.xlsx` | | Catalog CSV | `DDC_CWICR_TH_BANGKOK_Catalog.csv` | | Catalog XLSX | `DDC_CWICR_TH_BANGKOK_Catalog.xlsx` | | Qdrant snapshot | `TH_BANGKOK_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR.snapshot` | ## How this track was built This track was generated from `UK_GBP` by `0_Workflow and Pipelines CWICR/python/11-country-track-builder/add_country_track.py`. - **Norms** (labour hours, machine hours, resource quantities) are identical to the source track — Resource-Based Costing methodology treats norms as country-agnostic physical first principles. - **Prices** are derived via the cascade `type_factors → location_factor → optional national overrides`. Type factors come from OECD wage indexes (labour), construction PPP (material), and ECB FX (equipment). FX snapshot date is recorded in the per-resource columns. - **Language** columns are translated where target language differs from source. Existing tracks are used as parallel-text seeds. ## Data Structure 85+ columns organised into: - Classification hierarchy (10 cols) - Rate / work-item identifiers (11 cols) - Resource decomposition (7 cols) - Labour metrics (11 cols) - Machinery & equipment (12 cols) - Price aggregates (16 cols) - Mass / service / regional markers (~18 cols) See the repository-level [DATA_DICTIONARY.md](../DATA_DICTIONARY.md) for the complete column-by-column reference. ## Qdrant collection Vector index built from concatenated localised text fields, encoded with OpenAI `text-embedding-3-large` (3072-dim, cosine). ```bash qdrant-client snapshot upload \ --collection ddc_th_bangkok \ --snapshot TH_BANGKOK_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR.snapshot ``` ## Licence Same as the parent dataset: CC BY 4.0 for data, see [LICENSE-DATA.txt](../LICENSE-DATA.txt). Code: see [LICENSE-CODE.txt](../LICENSE-CODE.txt).