Update to v5.3.1 — Add companion Parquet datasets (samples + SPEC.md)

.gitattributes

@@ -1 +1,2 @@
 *.csv filter=lfs diff=lfs merge=lfs -text
+news_sample.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -552,10 +552,26 @@ The most comprehensive structured fragrance database available. This is a **free
 |------|---------|--------|-------------|
 | `fragrances.csv` | 10 | 30 | Top-rated fragrances |
 | `brands.csv` | 10 | 54 | Brand profiles + 22 lang translations |
-| `perfumers.csv` | 10 | 36 | Perfumer profiles + 22 lang translations |
+| `perfumers.csv` | 10 | 39 | Perfumer profiles + 22 lang + 6 name translit |
 | `notes.csv` | 10 | 55 | Fragrance notes + 22 lang translations |
 | `accords.csv` | 10 | 27 | Accords + 22 lang translations |
 | `translations.csv` | 34 | 25 | Gender & voting vocabulary (full) |
+| `comments_sample.parquet` | 25 | 8 | User reviews preview (parquet) |
+| `news_sample.parquet` | 20 | 16 | Editorial articles preview (parquet) |
+| `news_comments_sample.parquet` | 20 | 9 | News comments preview (parquet) |
+| `SPEC.md` | — | — | Parquet schema documentation |
+
+### Companion Parquet Datasets (Full tier only)
+
+The full parquet datasets (not in this sample) ship with all paid tiers except the $200 Core:
+
+| File | Rows | Description |
+|------|------|-------------|
+| `comments.parquet` | 4,643,851 | User reviews in 23 languages |
+| `news.parquet` | 24,440 | Editorial articles, 2008-2026 |
+| `news_comments.parquet` | 263,798 | Threaded news comments |
+
+See `SPEC.md` for full schema. Pricing: https://fragdb.net/#pricing
 
 ### Full Database
 

SPEC.md

@@ -0,0 +1,635 @@
+# Fragrantica News & Comments Datasets — Technical Specification
+
+**Snapshot date:** 2026-05-05
+**Source:** `fragrantica.com` and 22 localized domains (`fragrantica.de`, `fragrantica.ru`, etc.)
+**Format:** Apache Parquet (Zstandard compression)
+**Total combined size:** ~1.36 GB on disk
+
+This document specifies three datasets that complement the existing
+Fragrantica perfume database (`merged_database`, `brands_database_v2`,
+`perfumers_database_v2`, `notes_database_v2` — already documented and sold
+separately):
+
+1. **`comments.parquet`** — user reviews on individual perfumes
+2. **`news.parquet`** — editorial articles published on Fragrantica
+3. **`news_comments.parquet`** — user comments under those articles
+
+The cross-dataset relationships in §5 explain how to join these with the
+existing perfume/brand/perfumer DBs via primary keys.
+
+---
+
+## 1. Overview
+
+| Dataset | Rows | Compressed Size | Distinct entities |
+|---|---:|---:|---:|
+| `comments.parquet` | 4,643,851 | 1.23 GB | 93,305 perfumes, 23 languages |
+| `news.parquet` | 24,440 articles | 101 MB | NID 1..25000 |
+| `news_comments.parquet` | 263,798 | 33 MB | 21,820 articles with comments |
+
+All three datasets share the same identifier conventions used by the
+existing perfume/brand/perfumer databases:
+
+- **PID** (`int32`) — unique perfume identifier; matches `merged_database.PID`.
+- **NID** (`int32`) — unique news article identifier (1..25000 range).
+- **lang** (`string`) — ISO 639-1 language code identifying which Fragrantica
+  domain the content was sourced from. Each domain hosts independent
+  user-generated content (reviews are not translations of one another).
+
+---
+
+## 2. Dataset 1: `comments.parquet`
+
+User-written reviews of individual perfumes, scraped across 23 localized
+Fragrantica domains. Each comment is a unique user review, not a translation
+or syndication.
+
+### 2.1 Schema (8 fields)
+
+| # | Field | Type | NULL? | Description |
+|---:|---|---|---|---|
+| 1 | `pid` | `int32` | NO | Foreign key → `merged_database.PID`. Identifies the perfume being reviewed. |
+| 2 | `lang` | `string` | NO | Domain language (`en`, `ru`, `de`, …). 23 distinct values. |
+| 3 | `comment_id` | `string` | NO | Globally unique deterministic ID, format `{pid}_{lang}_{12hex}` where `12hex` is the first 12 hexadecimal characters of `sha1(author + "|" + date + "|" + text)`. Stable across re-scrapes. |
+| 4 | `author` | `string` | NO | Username as displayed on Fragrantica. May contain Unicode (e.g. `Сергей`, `José`). |
+| 5 | `date` | `string` | NO | Date published as it appears on the page. Most rows: `MM/DD/YY HH:MM` (e.g., `04/11/26 10:05`). Always present. |
+| 6 | `text` | `large_string` (64-bit offsets) | NO | Review body. UTF-8, no HTML tags, paragraph breaks via `\n`. May contain emoji. Length range observed: 1 char (emoji-only) to ~120 KB. |
+| 7 | `avatar_url` | `string` | NO | Full URL to the user's avatar image hosted on Fragrantica's CDN. Verified ~100% reachable. |
+| 8 | `gradient_class` | `string` | NO | Fragrantica's CSS class for the user's color badge (e.g., `tw-gradient-rose`). 7 distinct values observed (`tw-gradient-amber`/`emerald`/`orange`/`rose`/`sky`/`teal`/`violet`). Useful for UI consistency if displaying. |
+
+### 2.2 Volumetrics
+
+- **Total rows:** 4,643,851
+- **Distinct PIDs covered:** 93,305 (70.6% of the 132,160 perfumes in `merged_database`; remaining 38,855 perfumes have zero reviews — verified against Fragrantica's `reviews_count` field)
+- **PID range:** 1 — 130,121
+- **Languages:** 23 (full list in §2.3)
+
+### 2.3 Language distribution
+
+| Lang | Code | Comments | Distinct PIDs |
+|---|---|---:|---:|
+| English | `en` | 1,690,055 | 78,715 (60% of perfumes) |
+| Russian | `ru` | 889,893 | 52,650 |
+| Portuguese (Brazilian) | `pt` | 247,511 | 21,258 |
+| Spanish | `es` | 226,451 | 26,586 |
+| Korean | `ko` | 214,674 | 11,696 |
+| Turkish | `tr` | 191,945 | 11,722 |
+| Japanese | `ja` | 186,836 | 10,767 |
+| Polish | `pl` | 141,242 | 25,350 |
+| Italian | `it` | 115,972 | 22,100 |
+| Hungarian | `hu` | 109,204 | 11,565 |
+| Serbian | `sr` | 108,945 | 15,048 |
+| Swedish | `sv` | 107,666 | 11,155 |
+| German | `de` | 100,218 | 15,505 |
+| Hebrew | `he` | 81,981 | 10,165 |
+| Ukrainian | `uk` | 50,203 | 15,917 |
+| French | `fr` | 42,256 | 13,379 |
+| Arabic | `ar` | 33,077 | 9,071 |
+| Greek | `el` | 28,208 | 8,512 |
+| Czech | `cs` | 24,269 | 3,424 |
+| Chinese (Simplified) | `zh` | 15,843 | 4,466 |
+| Romanian | `ro` | 13,906 | 6,451 |
+| Mongolian | `mn` | 12,100 | 2,056 |
+| Dutch | `nl` | 11,396 | 5,045 |
+
+Each `lang` represents an independent set of user reviews from the
+corresponding national Fragrantica domain. A user reviewing the same
+perfume on `fragrantica.com` (en) and `fragrantica.ru` (ru) would write
+two distinct reviews; both are included.
+
+### 2.4 ID generation
+
+`comment_id` is content-derived (sha1-based), giving three properties:
+- **Globally unique** across all 4.6M rows (verified post-rewrite, 0 collisions).
+- **Stable across re-scrapes**: re-fetching the same comment yields the same
+  ID. Useful for incremental updates and joining with downstream tables.
+- **Idempotent dedup key**: `(nid, comment_id)` and `comment_id` alone are
+  both safe primary keys.
+
+---
+
+## 3. Dataset 2: `news.parquet`
+
+Editorial articles from `fragrantica.com/news/` (English-only). Covers the
+entire archive 2008-2026 (NID 1..25000), including both archived legacy
+articles and modern editorial content.
+
+### 3.1 Schema (16 fields)
+
+| # | Field | Type | NULL? | Description |
+|---:|---|---|---|---|
+| 1 | `nid` | `int32` | NO | News article ID. Range 1..25000. |
+| 2 | `title` | `string` | NO | Article title. Plain text, HTML entities decoded. |
+| 3 | `category` | `string` | NO | Editorial category (e.g., `New Fragrances`, `Fragrance Reviews`, `Interviews`). 30+ distinct values. Top 10 in §3.4. |
+| 4 | `author` | `string` | YES | Comma-separated list of author names (multi-author articles common). |
+| 5 | `description` | `string` | YES | Short summary from `<meta property="og:description">`. Plain text. |
+| 6 | `text` | `string` | NO | Full article body. Plain text, paragraph breaks via `\n`. Footer/byline blocks stripped. UTF-8. |
+| 7 | `text_html` | `string` | NO | Article body **with original HTML preserved** — `<p>`, `<a>`, `<img>`, embedded videos. Useful for rendering or DOM-aware downstream processing. |
+| 8 | `main_image` | `string` | YES | URL to the article's primary image (Fragrantica CDN). Verified reachable. |
+| 9 | `article_images` | `string` | NO | **JSON-encoded array** of all image URLs in the article body. Use `json.loads(field)` → `list[str]`. Empty array `'[]'` if none. |
+| 10 | `url` | `string` | NO | Canonical article URL (e.g., `https://www.fragrantica.com/news/x-12345.html`). |
+| 11 | `is_archived` | `bool` | NO | `True` if article is in Fragrantica's legacy/archived corpus (older HTML template, often missing publication date — see §3.5). |
+| 12 | `related_pids` | `string` | NO | **JSON-encoded array** of PIDs (as decimal strings) referenced in the article. Foreign key → `merged_database.PID`. 0% orphan rate (FK-validated). |
+| 13 | `related_brands` | `string` | NO | **JSON-encoded array** of brand names. Informational metadata; see §5.4 for canonical resolution. |
+| 14 | `related_perfumers` | `string` | NO | **JSON-encoded array** of perfumer names with diacritics preserved (e.g., `François Demachy`, `Carlos Benaïm`). Informational; see §5.5. |
+| 15 | `comments_count` | `int32` | NO | Count of comments in `news_comments.parquet` matching this NID. |
+| 16 | `date_unix` | `int64` | NO | Publication time as Unix timestamp (seconds since epoch). `0` indicates the date is not extractable from the source HTML — see §3.5. |
+
+### 3.2 Volumetrics
+
+- **Total rows:** 24,440 articles
+- **NID range:** 1 — 25,000 (560 NIDs missing — Fragrantica returns HTTP 301 redirect for these — represents truly deleted articles)
+- **Archived:** 15,427 / 24,440 (63.1%)
+- **Non-archived:** 9,013 / 24,440 (36.9%)
+- **With publication date (`date_unix > 0`):** 13,687 (56.0%)
+
+### 3.3 List-fields format note
+
+Four fields hold lists: `article_images`, `related_pids`, `related_brands`,
+`related_perfumers`. **All four are stored as JSON-encoded strings** for
+consistency. Use:
+
+```python
+import json
+images = json.loads(row['article_images'])  # → list[str]
+```
+
+`related_pids` contains PID values as decimal strings (e.g., `'704'`, not
+the int `704`). Cast as needed when joining.
+
+### 3.4 Top categories
+
+| Category | Articles | % |
+|---|---:|---:|
+| New Fragrances | 8,534 | 34.9% |
+| Fragrance Reviews | 5,583 | 22.8% |
+| Niche Perfumery | 2,537 | 10.4% |
+| Art Books Events | 1,570 | 6.4% |
+| Columns | 1,346 | 5.5% |
+| Fragrant Horoscope | 851 | 3.5% |
+| Fragrance News | 760 | 3.1% |
+| Interviews | 682 | 2.8% |
+| Vintages | 437 | 1.8% |
+| Raw Materials | 384 | 1.6% |
+
+Remaining 1,756 articles span 33 smaller categories.
+
+### 3.5 Date coverage
+
+`date_unix == 0` for 10,753 articles (44%). Distribution by NID range:
+
+| NID range | Articles | with date | % | archived % |
+|---|---:|---:|---:|---:|
+| 1 — 5,000 | 4,888 | 2 | 0.0% | 100% |
+| 5,001 — 10,000 | 4,799 | 0 | 0.0% | 100% |
+| 10,001 — 15,000 | 4,890 | 3,822 | 78.2% | 100% |
+| 15,001 — 20,000 | 4,900 | 4,900 | 100% | 17.3% |
+| 20,001 — 25,000 | 4,963 | 4,963 | 100% | 0% |
+
+The 10,753 articles without date come entirely from the archived legacy
+template: 9,685 in NIDs 1–10,000 (effectively all of them) and 1,068 in
+NIDs 10,001–15,000 (the remaining 22% of that range — the other 78% have
+recoverable visible-text dates). Fragrantica's old archived HTML does not
+embed any date marker (no `<time>`, no `<meta>`, no visible date string)
+for these. This is an upstream HTML limitation, not a parser issue.
+**For all non-archived articles (9,013 of them), `date_unix` is 100%
+populated.**
+
+---
+
+## 4. Dataset 3: `news_comments.parquet`
+
+User comments under news articles. Pure UGC; same comment-card schema
+Fragrantica uses on perfume pages.
+
+### 4.1 Schema (9 fields)
+
+| # | Field | Type | NULL? | Description |
+|---:|---|---|---|---|
+| 1 | `nid` | `int32` | NO | Foreign key → `news.parquet.nid` (0% orphan rate). |
+| 2 | `comment_id` | `string` | NO | Comment ID as Fragrantica assigns it (page-anchor format). Globally unique within parquet. |
+| 3 | `author` | `string` | NO | Commenter username. |
+| 4 | `date` | `string` | NO | Date as displayed on page (e.g., `04/11/26 10:05`). |
+| 5 | `date_unix` | `int64` | NO | Parsed Unix timestamp. **100% populated** (all rows have `date_unix > 0`). |
+| 6 | `text` | `string` | NO | Comment body, plain text. |
+| 7 | `avatar_url` | `string` | NO | Full URL to author avatar (Fragrantica CDN). |
+| 8 | `gradient` | `string` | NO | CSS class for color badge (same scheme as `comments.parquet.gradient_class`). |
+| 9 | `is_reply` | `bool` | NO | `True` if this comment is a reply to another comment (threaded discussion); `False` for root comments. 4.9% of rows are replies (12,898 / 263,798). |
+
+### 4.2 Volumetrics
+
+- **Total rows:** 263,798
+- **Distinct NIDs:** 21,820 (89.3% of articles have at least one comment)
+- **Replies:** 12,898 (4.9%)
+- **Average comments per article (in articles with comments):** 12.1
+
+---
+
+## 5. Cross-dataset relationships
+
+This section is the load-bearing piece for buyers integrating with the
+existing perfume/brand/perfumer DBs.
+
+### 5.1 Diagram
+
+```
+┌────────────────────────────────────────────────────────┐
+│   merged_database.csv  (existing, 132,160 perfumes)   │
+│   ─────────────────────                                │
+│   PID   ←──────────────────────┐                       │
+│   Brand                        │                       │
+│   Name                         │                       │
+│   noses_f  (perfumers)         │                       │
+│   ...30 fields total           │                       │
+└────────────────────────────────┼───────────────────────┘
+                                 │
+                ┌────────────────┴───────────────┐
+                │                                │
+                ▼                                ▼
+   ┌──────────────────────┐         ┌──────────────────────┐
+   │ comments.parquet     │         │ news.parquet         │
+   │ ──────────────────── │         │ ──────────────────── │
+   │ pid    ─────────────►│         │ related_pids ───────►│
+   │ lang   (23 langs)    │         │ related_brands       │
+   │ comment_id (sha1)    │         │ related_perfumers    │
+   │ author/date/text     │         │ nid ◄────┐           │
+   │ +avatar/gradient     │         │ ...16 fields total   │
+   └──────────────────────┘         └──────────┼───────────┘
+                                               │
+                                               │
+                                    ┌──────────┴───────────┐
+                                    │ news_comments.parquet│
+                                    │ ──────────────────── │
+                                    │ nid ─────────────────│ FK → news.nid
+                                    │ comment_id           │
+                                    │ author/date/text     │
+                                    │ is_reply             │
+                                    └──────────────────────┘
+```
+
+### 5.2 Linking comments to perfumes (PID)
+
+Foreign key: **`comments.pid → merged_database.PID`** — verified 0% orphan rate.
+
+```sql
+-- All English reviews for the perfume "Mugler Angel" (PID 704):
+SELECT c.author, c.date, c.text
+FROM read_parquet('comments.parquet') c
+JOIN read_csv('merged_database.csv', delim='⏸') m ON c.pid = m.PID
+WHERE m.Brand = 'Mugler' AND m.Name = 'Angel' AND c.lang = 'en'
+ORDER BY c.date DESC LIMIT 100;
+```
+
+```python
+import pyarrow.parquet as pq
+import pyarrow.compute as pc
+
+c = pq.read_table('comments.parquet')
+angel_reviews = c.filter(pc.and_(pc.equal(c['pid'], 704),
+                                  pc.equal(c['lang'], 'en')))
+```
+
+### 5.3 Linking news to perfumes (related_pids)
+
+Foreign key: **`news.related_pids → merged_database.PID`** — JSON-array
+field, 0% orphan rate over 119,662 references.
+
+```sql
+-- All news mentioning Aventus (PID 9828):
+SELECT nid, title, category, date_unix
+FROM read_parquet('news.parquet')
+WHERE list_contains(json_extract(related_pids, '$'), '9828');
+```
+
+```python
+import json
+n = pq.read_table('news.parquet')
+mentions_aventus = []
+for i, rp in enumerate(n.column('related_pids').to_pylist()):
+    if rp and '9828' in json.loads(rp):
+        mentions_aventus.append(i)
+```
+
+### 5.4 Linking news to brands
+
+`news.related_brands` is a **JSON array of brand-name strings** (informational).
+
+**Authoritative brand resolution** for any news article uses the PID:
+```
+news.related_pids → merged_database.PID → merged_database.Brand
+```
+
+The `related_brands` field is provided as supplementary metadata. Approx.
+12% of strings in `related_brands` will not match `brands_database_v2.name`
+exactly because Fragrantica has renamed some brands over time
+(e.g., `Christian Dior` → `Dior`, `Annick Goutal` → `Goutal`,
+`Paco Rabanne` → `Rabanne`). The original captured name is preserved.
+
+For canonical brand lookup, always join via `related_pids`:
+
+```sql
+SELECT DISTINCT m.Brand
+FROM read_parquet('news.parquet') n
+JOIN read_csv('merged_database.csv', delim='⏸') m
+  ON list_contains(json_extract(n.related_pids, '$'), CAST(m.PID AS VARCHAR))
+WHERE n.nid = 17644;
+```
+
+### 5.5 Linking news to perfumers
+
+Same pattern as brands. `news.related_perfumers` is a **JSON array of perfumer-name
+strings** with diacritics preserved (e.g., `François Demachy`, `Carlos Benaïm`,
+`Cécile Zarokian` — verified canonical post-fix).
+
+**Authoritative perfumer resolution** uses PID:
+```
+news.related_pids → merged_database.PID → merged_database.noses_f
+```
+
+`merged_database.noses_f` contains the full list of perfumers per perfume in
+the project's standard format. Approximately 11% of `related_perfumers`
+strings will not exactly match `perfumers_database_v2.name` due to the
+upstream perfumer DB not yet covering all names mentioned in news (e.g.,
+`Jean Claude Ellena` ×191 mentions). Use the PID-join for guaranteed
+matches.
+
+### 5.6 Linking news_comments to articles (NID)
+
+Foreign key: **`news_comments.nid → news.nid`** — 0% orphan rate.
+
+```sql
+-- All comments under article NID 17644:
+SELECT author, date, text, is_reply
+FROM read_parquet('news_comments.parquet')
+WHERE nid = 17644
+ORDER BY date_unix ASC;
+```
+
+### 5.7 Combined query examples
+
+**Q1.** All news articles + their root comments mentioning Creed Aventus
+(PID 9828) in 2024:
+
+```sql
+SELECT n.nid, n.title, n.date_unix, nc.author, nc.text
+FROM read_parquet('news.parquet') n
+LEFT JOIN read_parquet('news_comments.parquet') nc ON n.nid = nc.nid
+WHERE list_contains(json_extract(n.related_pids, '$'), '9828')
+  AND n.date_unix BETWEEN 1704067200 AND 1735689599  -- 2024
+  AND nc.is_reply = false
+ORDER BY n.date_unix DESC, nc.date_unix ASC;
+```
+
+**Q2.** Top-10 most-reviewed perfumes by language:
+
+```sql
+SELECT lang, pid, COUNT(*) AS review_count
+FROM read_parquet('comments.parquet')
+GROUP BY lang, pid
+QUALIFY ROW_NUMBER() OVER (PARTITION BY lang ORDER BY COUNT(*) DESC) <= 10;
+```
+
+**Q3.** Sentiment correlation between news articles and reviews — pairs of
+(news article, perfume reviewed in same time window):
+
+```sql
+SELECT n.nid, n.title, m.Brand, m.Name, COUNT(c.comment_id) AS reviews_in_30d
+FROM read_parquet('news.parquet') n
+JOIN read_csv('merged_database.csv', delim='⏸') m
+  ON list_contains(json_extract(n.related_pids, '$'), CAST(m.PID AS VARCHAR))
+JOIN read_parquet('comments.parquet') c
+  ON c.pid = m.PID
+WHERE n.date_unix > 0
+  AND c.date_unix BETWEEN n.date_unix AND n.date_unix + 2592000  -- 30 days
+GROUP BY n.nid, n.title, m.Brand, m.Name;
+```
+
+---
+
+## 6. Format specification
+
+### 6.1 Storage
+
+- **Container:** Apache Parquet 2.x
+- **Compression:** Zstandard (`zstd`)
+- **Row groups:**
+  - `comments.parquet` — 5 row groups
+  - `news.parquet` — 1 row group
+  - `news_comments.parquet` — 1 row group
+
+### 6.2 String types
+
+PyArrow uses two string types:
+- `string` — backed by 32-bit offsets (per-array limit ~2 GB total).
+- `large_string` — backed by 64-bit offsets (no practical size limit).
+
+`comments.parquet` uses `large_string` for the `text` column (because the
+combined corpus of 4.6M reviews exceeds the 32-bit offset limit). All
+other string columns in all three datasets use `string`. Pandas
+automatically converts both to its native `object` dtype on load — buyers
+generally do not need to distinguish between the two types unless writing
+custom Arrow code.
+
+Exact field-level types are listed in the schema tables of §2.1, §3.1, §4.1.
+
+### 6.3 Encoding
+
+- **Character encoding:** UTF-8 throughout.
+- **Normalization:** NFC where applicable; original Unicode codepoints
+  preserved (including emoji).
+- **Newlines:** `\n` only (Unix-style). No `\r`.
+- **HTML entities:** decoded (no `&amp;`, `&lt;`, etc. in text fields).
+- **Replacement chars (U+FFFD):** zero — rare upstream-broken bytes were
+  stripped, with the surrounding text preserved.
+
+### 6.4 List fields (news.parquet)
+
+Four columns store JSON-encoded arrays-as-strings:
+- `article_images`: `list[str]` of image URLs
+- `related_pids`: `list[str]` of decimal-string PIDs
+- `related_brands`: `list[str]` of brand names
+- `related_perfumers`: `list[str]` of perfumer names
+
+Empty list is stored as the literal string `'[]'` (not NULL, not empty
+string). This makes parsing branchless:
+
+```python
+items = json.loads(row[field])  # always returns a list
+```
+
+---
+
+## 7. Data quality
+
+The datasets passed a multi-track validation audit (full report:
+`reports/data_quality/POST_FIX_VALIDATION.md`). Summary:
+
+| Check | Result |
+|---|:---:|
+| Duplicate rows by primary key (all 3 datasets) | 0 |
+| FK integrity (`comments.pid → PID`) | 0 orphans |
+| FK integrity (`news.related_pids → PID`) | 0 orphans (over 119,662 refs) |
+| FK integrity (`news_comments.nid → nid`) | 0 orphans |
+| `comment_id` global uniqueness (`comments.parquet`) | 0 collisions over 4.6M rows |
+| HTML/CSS pollution in text fields | 0 |
+| Cloudflare challenge pages in data | 0 |
+| Mojibake / replacement char (U+FFFD) | 0 |
+| Language attribution accuracy (langdetect on sample) | >95% per language |
+| `news_comments.date_unix > 0` populated | 100% |
+| `news.date_unix > 0` populated (non-archived) | 100% |
+
+### 7.1 Provenance
+
+Data scraped via headless browser fingerprinting (chrome120 impersonation
+through curl_cffi) over a residential proxy network. Each page was
+individually fetched, parsed by a custom HTML parser, and post-processed
+through a content sanitization pipeline. Re-scrapes are idempotent thanks
+to deterministic comment IDs (§2.4).
+
+---
+
+## 8. Known limitations (transparent disclosure)
+
+1. **Archived news articles without dates (10,753 / 24,440 = 44%).**
+   Fragrantica's archived HTML template does not embed any date marker
+   (`<time>`, meta tag, or visible string). For these articles, `date_unix`
+   is `0`. The no-date subset is concentrated in NIDs 1–15,000: 9,685 of
+   9,687 archived articles in NIDs 1–10,000 and 1,068 of 4,890 in NIDs
+   10,001–15,000. (850 archived articles in NIDs 15,001–20,000 do have
+   dates.) **All non-archived articles (9,013 of them) have 100% date
+   coverage.**
+
+2. **`related_brands` matching gap (~12%).** Fragrantica has renamed
+   ~50 brands over the years (e.g., `Christian Dior → Dior`); the captured
+   name in news may be the older form, while `brands_database_v2.csv`
+   carries only the canonical (post-rename) name. Use `related_pids` for
+   authoritative brand resolution (§5.4).
+
+3. **`related_perfumers` matching gap (~11%).** Some perfumer names
+   referenced in news (e.g., `Jean Claude Ellena` ×191) are not yet in the
+   companion `perfumers_database_v2.csv`. The names in news are
+   diacritic-correct; the gap is in the reference DB coverage. Use
+   `related_pids → merged_database.noses_f` for authoritative resolution
+   (§5.5).
+
+4. **Cross-language mirrored short comments (~0.014%).** Approximately
+   650 short, identical-text comments appear in multiple languages
+   (e.g., a "5/10" rating posted by the same author on multiple subdomains).
+   These are real (Fragrantica's display behavior), not parser duplicates.
+
+5. **Comments PID coverage gap.** 38,855 perfumes (29%) have zero comments
+   in any language. Verified against Fragrantica's `reviews_count` field:
+   99.8% of these perfumes truly have zero reviews on the platform. A
+   targeted re-collection of the 73 PIDs flagged as `reviews_count > 0`
+   yet missing comments recovered 68 of them (305 new comments added);
+   the remaining 5 PIDs have `reviews_count > 0` in Fragrantica's metadata
+   but the page returns no review HTML — treated as upstream
+   metadata/page mismatch.
+
+---
+
+## 9. Loading examples
+
+### 9.1 Python (PyArrow + Pandas)
+
+```python
+import pyarrow.parquet as pq
+import json
+
+# Comments
+comments = pq.read_table('comments.parquet')
+df = comments.to_pandas()
+print(df.head())
+
+# News list-field unpack
+news = pq.read_table('news.parquet').to_pandas()
+news['related_pids'] = news['related_pids'].apply(json.loads)
+news['related_brands'] = news['related_brands'].apply(json.loads)
+```
+
+### 9.2 DuckDB (zero-copy SQL on Parquet)
+
+```sql
+-- Direct query, no import needed
+SELECT lang, COUNT(*) FROM 'comments.parquet' GROUP BY lang ORDER BY 2 DESC;
+
+-- Multi-file join
+SELECT n.title, COUNT(nc.comment_id) AS replies
+FROM 'news.parquet' n
+LEFT JOIN 'news_comments.parquet' nc ON n.nid = nc.nid AND nc.is_reply = true
+GROUP BY n.nid, n.title HAVING replies > 10;
+```
+
+### 9.3 Polars
+
+```python
+import polars as pl
+df = pl.read_parquet('comments.parquet')
+df.filter(pl.col('lang') == 'en').head()
+```
+
+---
+
+## 10. Sample files
+
+The `samples/` directory contains three small Parquet files that
+demonstrate the cross-dataset relationships using real production data:
+
+| File | Rows | Content |
+|---|---:|---|
+| `comments_sample.parquet` | 25 | Reviews of 5 popular perfumes (Mugler Angel, Guerlain Shalimar, Creed Aventus, JPG Le Male, Dior Poison), each in 5 languages (en/ru/de/es/fr). |
+| `news_sample.parquet` | 20 | News articles that reference these 5 perfumes via `related_pids`. Diverse categories and archived/recent mix. |
+| `news_comments_sample.parquet` | 20 | Comments from 7 of the news articles in `news_sample.parquet`, mix of root and replies. |
+
+The samples are produced by `scripts/build_sales_samples.py` and use the
+**identical Parquet schema and Zstandard compression as the production
+files** — buyers can verify their loading code against the samples before
+committing to the full datasets.
+
+### 10.1 Cross-link verification (using the samples)
+
+```python
+import pyarrow.parquet as pq
+import json
+
+c = pq.read_table('samples/comments_sample.parquet')
+n = pq.read_table('samples/news_sample.parquet')
+nc = pq.read_table('samples/news_comments_sample.parquet')
+
+sample_pids = set(c.column('pid').to_pylist())
+print(f"Comment-sample PIDs: {sorted(sample_pids)}")
+# {53, 218, 430, 704, 9828}
+
+# Find news rows that reference these PIDs:
+for i, rp in enumerate(n.column('related_pids').to_pylist()):
+    pids = set(int(p) for p in json.loads(rp) if p.isdigit())
+    if pids & sample_pids:
+        nid = n.column('nid').to_pylist()[i]
+        title = n.column('title').to_pylist()[i]
+        print(f"  NID {nid} ({title[:60]}...) references PIDs {pids & sample_pids}")
+
+# All news_comments NIDs are subset of news_sample NIDs:
+sample_nids = set(n.column('nid').to_pylist())
+nc_nids = set(nc.column('nid').to_pylist())
+assert nc_nids <= sample_nids, "FK integrity holds in samples"
+print(f"\nAll news_comments_sample NIDs link back to news_sample: {nc_nids <= sample_nids}")
+```
+
+Running this script on the supplied samples will print a verification
+trace and confirm relational integrity.
+
+---
+
+## 11. Versioning and updates
+
+| Field | Value |
+|---|---|
+| Snapshot date | 2026-05-05 |
+| Comments PID range | 1 — 130,121 |
+| News NID range | 1 — 25,000 |
+| Schema version | v1 (8 / 16 / 9 fields respectively) |
+| Compression | zstd |
+| Format | Parquet 2.x |
+
+Updates to these datasets are produced as full snapshots; incremental
+diffs (per-PID / per-NID delta exports) are available on request.

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