| # Cross-DB Connection Layer — Structure Sample |
|
|
| This directory shows the **shape** of the cross-DB connection |
| artifacts that bridge Fragrantica and Parfumo. Files here are |
| **structural samples** — they demonstrate column layouts, formats, |
| and content style without trying to be join-able with the 10+10 |
| perfume samples in `../fragrantica/` and `../parfumo/`. |
|
|
| For the full cross-walk dataset (80,968 perfume pairs + 6,522 brand |
| pairs + complete overlap stats), see |
| `cross-source-full-2026-05-28.zip` from the $400 / Annual / Lifetime |
| tier. |
|
|
| --- |
|
|
| ## Files in this sample |
|
|
| | File | Content | Full release equivalent | |
| |---|---|---| |
| | `matched_pairs_sample.csv` | First 30 of 80,968 F.pid ↔ P.pid pairs | `matched_pairs.csv` | |
| | `brand_matches_sample.csv` | First 30 of 6,522 brand pairs | `brand_matches.csv` | |
| | `field_equivalence_map.csv` | Full schema-level F↔P column equivalence (206 rows) | same — small enough to ship whole | |
| | `accord_overlap.json` | 15 matched accord pairs + F/P-only counts | same | |
| | `notes_overlap.json` | 1,690 direct + 7,977 species-of summary | same | |
| | `perfumers_overlap.json` | 1,669 perfumer pairs + Jaccard | same | |
| | `dictionary_overlap_stats.json` | Aggregate stats across notes/accords/perfumers/brands | same | |
| | `overlap_stats.json` | Top-level Jaccard summary | same | |
|
|
| --- |
|
|
| ## File schemas |
|
|
| ### `matched_pairs_sample.csv` — F ↔ P perfume cross-walk |
|
|
| Columns: `frag_pid | parf_pid | match_pass | brand_relation | confidence` |
|
|
| ``` |
| frag_pid|parf_pid|match_pass|brand_relation|confidence |
| 30|728|exact|same-brand|exact |
| 762|727|exact|same-brand|exact |
| ``` |
|
|
| - `match_pass`: how this pair was matched (`exact`, `brand_fuzzy`, `token-subset`, etc.) |
| - `brand_relation`: `same-brand` / `cross-brand` / `unknown` |
| - `confidence`: `exact` / `confident` / `low` — based on G1 stratified audit |
| - Method: Phase 2B Fellegi-Sunter probabilistic record linkage |
| - Precision in full release: ~99% (G1 audit) |
|
|
| ### `brand_matches_sample.csv` — F ↔ P brand cross-walk |
|
|
| Same shape as matched_pairs but at the brand level. |
| |
| ### `field_equivalence_map.csv` — schema-level column equivalence |
| |
| Columns: `f_field | f_file | p_field | p_file | relation | note` |
| |
| `relation` values: |
| - `equivalent_same_format` — drop-in interchangeable (21 rows) |
| - `equivalent_diff_format` — same concept, different encoding (31 rows) |
| - `partial_overlap` — overlaps for some uses, diverges for others (7 rows) |
| - `f_only` — F has it, P doesn't (59 rows) |
| - `p_only` — P has it, F doesn't (88 rows) |
|
|
| Used to know "does F column X have a P counterpart, and if so what's |
| the encoding relation?" — see also `field_equivalence_map.md` in the |
| full release for the long-form reference. |
|
|
| ### `*_overlap.json` files |
| |
| Each describes one entity type's cross-DB overlap: |
| - counts (matched, F-only, P-only) |
| - Jaccard index |
| - method (Phase 2B / Phase 2.5 / species-of taxonomy) |
| - snapshot caveats (e.g. perfumers_overlap was computed on F=2,893 |
| snapshot before v5.4 added 75 perfumers) |
| |
| --- |
| |
| ## How to use this for a join (example) |
| |
| ```python |
| import pandas as pd |
| |
| # Load the cross-walk |
| mp = pd.read_csv("cross/matched_pairs_sample.csv", sep="|") |
| print(f"Pairs in sample: {len(mp)}") # 30 |
| |
| # Filter by confidence |
| exact = mp[mp.confidence == "exact"] |
| brand_fuzzy = mp[mp.match_pass == "brand_fuzzy"] |
| |
| # In the FULL release, this scales to: |
| # 80,968 total pairs · ~99% precision (G1 audit) |
| # Use frag_pid / parf_pid to join the per-DB CSVs |
| ``` |
| |
| --- |
| |
| ## What this sample does NOT include |
| |
| - Full `matched_pairs.csv` (80,968 rows / 3.2 MB) — in full release |
| - Full `brand_matches.csv` (6,522 rows / 323 KB) — in full release |
| - `field_equivalence_map.md` (27 KB, human-readable long-form) — in full release |
| - Per-row audit decisions or scoring features — in full release |
| |
| Cross-walk methodology details are in `cross/README.md` of the full |
| bundle. |
| |
| --- |
| |
| ## Notes on the F + P sample picks |
| |
| The 10 F perfumes and 10 P perfumes in `../fragrantica/` and |
| `../parfumo/` were chosen independently — each side picked the most |
| populated rows on its DB, top by rating votes. They don't necessarily |
| join through `matched_pairs.csv` (the cross-walk shown above is a |
| structural sample, not curated to the 10+10). |
| |
| For a cross-walk demo that links F and P at the perfume level, see |
| the full release. |
| |
