Datasets:
File size: 2,602 Bytes
f927308 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | # OpenConstructionEstimate — Poland / Warsaw
**Construction Work Items, Components & Resources**
---
| Property | Value |
|---|---|
| Reference region | Poland / Warsaw |
| ISO country | PL |
| Language | `pl` |
| Currency | `PLN` (ISO 4217) |
| Source track | `DE_BERLIN` (Germany / Berlin) |
| Generated | 2026-04-30 |
| Work items | 900,225 rows |
| Unique resources | 6,671 |
## Available Formats
| Format | File |
|---|---|
| Parquet | `PL_WARSAW_workitems_costs_resources_DDC_CWICR.parquet` |
| Excel (formatted) | `PL_WARSAW_workitems_costs_resources_DDC_CWICR_FORMATTED.xlsx` |
| Excel (simple) | `PL_WARSAW_workitems_costs_resources_DDC_CWICR_SIMPLE.xlsx` |
| Catalog CSV | `DDC_CWICR_PL_WARSAW_Catalog.csv` |
| Catalog XLSX | `DDC_CWICR_PL_WARSAW_Catalog.xlsx` |
| Qdrant snapshot | `PL_WARSAW_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR.snapshot` |
## How this track was built
This track was generated from `DE_BERLIN` 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_pl_warsaw \
--snapshot PL_WARSAW_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).
|