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# MoDiP raw-data profile
Generated by `src/profile_data.py` from `data/raw/modip_records.json` (the exact records fetched from the Museum Data Service).
- **Records:** 11,865
- **Distinct field types:** 22
- **Distinct material strings:** 476
- **Distinct technique strings:** 82
- **Distinct object-name strings:** 955
- **Distinct use-domain concepts:** 22
## Field coverage (assertions across the set)
| field | assertions |
|---|---|
| material | 35,172 |
| object_name | 28,448 |
| dimension | 24,006 |
| colour | 16,966 |
| object_production_organisation | 15,230 |
| organisations_association | 15,230 |
| object_name_type | 14,114 |
| associated_concept | 13,897 |
| brief_description | 12,288 |
| license | 11,865 |
| license_url | 11,865 |
| object_number | 11,865 |
| title | 11,865 |
| technique | 11,482 |
| object_production_place | 9,180 |
| inscription_position | 8,271 |
| object_production_person | 7,152 |
| persons_association | 7,152 |
| inscription_content | 7,072 |
| inscription_method | 6,840 |
| technique_type | 6,047 |
| object_production_date | 5,506 |
## The synonymy problem (why a taxonomy is needed)
The same polymer is recorded under an abbreviation, a full chemical name and one or more trade names, as independent free-text strings. A keyword search for one misses the others. Witnesses:
| polymer | strings that co-refer (with counts) |
|---|---|
| polypropylene | `PP` (941) + `polypropylene` (940) |
| polystyrene | `PS` (843) + `polystyrene` (838) |
| polyethylene | `PE` (790) + `polyethylene` (831) + `polythene` (767) |
| phenol formaldehyde | `PF` (516) + `phenol formaldehyde` (517) + `bakelite - generic term` (490) |
| acrylic (PMMA) | `PMMA` (355) + `polymethyl methacrylate` (352) + `acrylic` (352) + `Perspex - trade name` (14) |
| polyamide | `PA` (428) + `polyamide` (431) + `nylon` (426) |
Trade-name strings account for **497** material assertions across 151 distinct brand tags (Perspex, Bakelite, Lycra, Neoprene, Teflon, …), each of which resolves to a generic polymer in the taxonomy.
## Free-text cross-references (the latent graph)
**323** descriptions contain an inline reference to another object's accession number ("AIBDC 007661.2 is the same box but a different colourway"). These are relationships trapped in prose; `build_graph.py` resolves them into typed object-to-object edges.