Datasets:
Add readme-txt TH/README_DDC_CWICR_TABULAR_TH_BANGKOK.txt
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TH/README_DDC_CWICR_TABULAR_TH_BANGKOK.txt
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| 1 |
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# OpenConstructionEstimate — Thailand / Bangkok
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**Construction Work Items, Components & Resources**
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---
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| Property | Value |
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|---|---|
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| Reference region | Thailand / Bangkok |
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| ISO country | TH |
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| Language | `th` |
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| Currency | `THB` (ISO 4217) |
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| Source track | `UK_GBP` (United Kingdom / London) |
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| Generated | 2026-04-30 |
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| Work items | 900,225 rows |
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| Unique resources | 6,670 |
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## Available Formats
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| Format | File |
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|---|---|
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| Parquet | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR.parquet` |
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| Excel (formatted) | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR_FORMATTED.xlsx` |
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| Excel (simple) | `TH_BANGKOK_workitems_costs_resources_DDC_CWICR_SIMPLE.xlsx` |
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| Catalog CSV | `DDC_CWICR_TH_BANGKOK_Catalog.csv` |
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| Catalog XLSX | `DDC_CWICR_TH_BANGKOK_Catalog.xlsx` |
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| Qdrant snapshot | `TH_BANGKOK_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR.snapshot` |
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## How this track was built
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This track was generated from `UK_GBP` by
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`0_Workflow and Pipelines CWICR/python/11-country-track-builder/add_country_track.py`.
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- **Norms** (labour hours, machine hours, resource quantities) are
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identical to the source track — Resource-Based Costing methodology
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treats norms as country-agnostic physical first principles.
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- **Prices** are derived via the cascade
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`type_factors → location_factor → optional national overrides`.
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Type factors come from OECD wage indexes (labour), construction
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PPP (material), and ECB FX (equipment). FX snapshot date is
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recorded in the per-resource columns.
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- **Language** columns are translated where target language differs
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from source. Existing tracks are used as parallel-text seeds.
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## Data Structure
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85+ columns organised into:
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- Classification hierarchy (10 cols)
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- Rate / work-item identifiers (11 cols)
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- Resource decomposition (7 cols)
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- Labour metrics (11 cols)
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- Machinery & equipment (12 cols)
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- Price aggregates (16 cols)
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- Mass / service / regional markers (~18 cols)
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See the repository-level [DATA_DICTIONARY.md](../DATA_DICTIONARY.md)
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for the complete column-by-column reference.
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## Qdrant collection
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Vector index built from concatenated localised text fields,
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encoded with OpenAI `text-embedding-3-large` (3072-dim, cosine).
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```bash
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qdrant-client snapshot upload \
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--collection ddc_th_bangkok \
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--snapshot TH_BANGKOK_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR.snapshot
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```
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## Licence
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Same as the parent dataset: CC BY 4.0 for data, see
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[LICENSE-DATA.txt](../LICENSE-DATA.txt). Code: see
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[LICENSE-CODE.txt](../LICENSE-CODE.txt).
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