Update to v5.0 — Multilingual: 127,579 fragrances, 23 languages, translations.csv

README.md

@@ -5,6 +5,28 @@ task_categories:
   - text-classification
 language:
   - en
+  - de
+  - es
+  - fr
+  - cs
+  - it
+  - ru
+  - pl
+  - pt
+  - el
+  - zh
+  - ja
+  - nl
+  - sr
+  - ro
+  - ar
+  - uk
+  - mn
+  - ko
+  - tr
+  - sv
+  - he
+  - hu
 tags:
   - fragrance
   - perfume
@@ -13,6 +35,7 @@ tags:
   - e-commerce
   - retail
   - fragrantica
+  - multilingual
 size_categories:
   - 10<n<100
 configs:
@@ -32,6 +55,9 @@ configs:
   - config_name: accords
     data_files: accords.csv
     sep: "|"
+  - config_name: translations
+    data_files: translations.csv
+    sep: "|"
 dataset_info:
   - config_name: fragrances
     features:
@@ -67,6 +93,8 @@ dataset_info:
         dtype: string
       - name: rating
         dtype: string
+      - name: reviews_count
+        dtype: int64
       - name: appreciation
         dtype: string
       - name: price_value
@@ -81,6 +109,8 @@ dataset_info:
         dtype: string
       - name: time_of_day
         dtype: string
+      - name: pros_cons
+        dtype: string
       - name: by_designer
         dtype: string
       - name: in_collection
@@ -91,10 +121,6 @@ dataset_info:
         dtype: string
       - name: news_ids
         dtype: string
-      - name: reviews_count
-        dtype: int64
-      - name: pros_cons
-        dtype: string
   - config_name: brands
     features:
       - name: id
@@ -117,6 +143,94 @@ dataset_info:
         dtype: string
       - name: brand_count
         dtype: int64
+      - name: country_de
+        dtype: string
+      - name: country_es
+        dtype: string
+      - name: country_fr
+        dtype: string
+      - name: country_cs
+        dtype: string
+      - name: country_it
+        dtype: string
+      - name: country_ru
+        dtype: string
+      - name: country_pl
+        dtype: string
+      - name: country_pt
+        dtype: string
+      - name: country_el
+        dtype: string
+      - name: country_zh
+        dtype: string
+      - name: country_ja
+        dtype: string
+      - name: country_nl
+        dtype: string
+      - name: country_sr
+        dtype: string
+      - name: country_ro
+        dtype: string
+      - name: country_ar
+        dtype: string
+      - name: country_uk
+        dtype: string
+      - name: country_mn
+        dtype: string
+      - name: country_ko
+        dtype: string
+      - name: country_tr
+        dtype: string
+      - name: country_sv
+        dtype: string
+      - name: country_he
+        dtype: string
+      - name: country_hu
+        dtype: string
+      - name: main_activity_de
+        dtype: string
+      - name: main_activity_es
+        dtype: string
+      - name: main_activity_fr
+        dtype: string
+      - name: main_activity_cs
+        dtype: string
+      - name: main_activity_it
+        dtype: string
+      - name: main_activity_ru
+        dtype: string
+      - name: main_activity_pl
+        dtype: string
+      - name: main_activity_pt
+        dtype: string
+      - name: main_activity_el
+        dtype: string
+      - name: main_activity_zh
+        dtype: string
+      - name: main_activity_ja
+        dtype: string
+      - name: main_activity_nl
+        dtype: string
+      - name: main_activity_sr
+        dtype: string
+      - name: main_activity_ro
+        dtype: string
+      - name: main_activity_ar
+        dtype: string
+      - name: main_activity_uk
+        dtype: string
+      - name: main_activity_mn
+        dtype: string
+      - name: main_activity_ko
+        dtype: string
+      - name: main_activity_tr
+        dtype: string
+      - name: main_activity_sv
+        dtype: string
+      - name: main_activity_he
+        dtype: string
+      - name: main_activity_hu
+        dtype: string
   - config_name: perfumers
     features:
       - name: id
@@ -141,6 +255,56 @@ dataset_info:
         dtype: int64
       - name: biography
         dtype: string
+      - name: status_de
+        dtype: string
+      - name: status_es
+        dtype: string
+      - name: status_fr
+        dtype: string
+      - name: status_cs
+        dtype: string
+      - name: status_it
+        dtype: string
+      - name: status_ru
+        dtype: string
+      - name: status_pl
+        dtype: string
+      - name: status_pt
+        dtype: string
+      - name: status_el
+        dtype: string
+      - name: status_zh
+        dtype: string
+      - name: status_ja
+        dtype: string
+      - name: status_nl
+        dtype: string
+      - name: status_sr
+        dtype: string
+      - name: status_ro
+        dtype: string
+      - name: status_ar
+        dtype: string
+      - name: status_uk
+        dtype: string
+      - name: status_mn
+        dtype: string
+      - name: status_ko
+        dtype: string
+      - name: status_tr
+        dtype: string
+      - name: status_sv
+        dtype: string
+      - name: status_he
+        dtype: string
+      - name: status_hu
+        dtype: string
+      - name: perfumer_name_ru
+        dtype: string
+      - name: perfumer_name_uk
+        dtype: string
+      - name: perfumer_name_ja
+        dtype: string
   - config_name: notes
     features:
       - name: id
@@ -165,6 +329,94 @@ dataset_info:
         dtype: string
       - name: fragrance_count
         dtype: int64
+      - name: note_name_de
+        dtype: string
+      - name: note_name_es
+        dtype: string
+      - name: note_name_fr
+        dtype: string
+      - name: note_name_cs
+        dtype: string
+      - name: note_name_it
+        dtype: string
+      - name: note_name_ru
+        dtype: string
+      - name: note_name_pl
+        dtype: string
+      - name: note_name_pt
+        dtype: string
+      - name: note_name_el
+        dtype: string
+      - name: note_name_zh
+        dtype: string
+      - name: note_name_ja
+        dtype: string
+      - name: note_name_nl
+        dtype: string
+      - name: note_name_sr
+        dtype: string
+      - name: note_name_ro
+        dtype: string
+      - name: note_name_ar
+        dtype: string
+      - name: note_name_uk
+        dtype: string
+      - name: note_name_mn
+        dtype: string
+      - name: note_name_ko
+        dtype: string
+      - name: note_name_tr
+        dtype: string
+      - name: note_name_sv
+        dtype: string
+      - name: note_name_he
+        dtype: string
+      - name: note_name_hu
+        dtype: string
+      - name: note_group_de
+        dtype: string
+      - name: note_group_es
+        dtype: string
+      - name: note_group_fr
+        dtype: string
+      - name: note_group_cs
+        dtype: string
+      - name: note_group_it
+        dtype: string
+      - name: note_group_ru
+        dtype: string
+      - name: note_group_pl
+        dtype: string
+      - name: note_group_pt
+        dtype: string
+      - name: note_group_el
+        dtype: string
+      - name: note_group_zh
+        dtype: string
+      - name: note_group_ja
+        dtype: string
+      - name: note_group_nl
+        dtype: string
+      - name: note_group_sr
+        dtype: string
+      - name: note_group_ro
+        dtype: string
+      - name: note_group_ar
+        dtype: string
+      - name: note_group_uk
+        dtype: string
+      - name: note_group_mn
+        dtype: string
+      - name: note_group_ko
+        dtype: string
+      - name: note_group_tr
+        dtype: string
+      - name: note_group_sv
+        dtype: string
+      - name: note_group_he
+        dtype: string
+      - name: note_group_hu
+        dtype: string
   - config_name: accords
     features:
       - name: id
@@ -177,257 +429,158 @@ dataset_info:
         dtype: string
       - name: fragrance_count
         dtype: int64
+      - name: name_de
+        dtype: string
+      - name: name_es
+        dtype: string
+      - name: name_fr
+        dtype: string
+      - name: name_cs
+        dtype: string
+      - name: name_it
+        dtype: string
+      - name: name_ru
+        dtype: string
+      - name: name_pl
+        dtype: string
+      - name: name_pt
+        dtype: string
+      - name: name_el
+        dtype: string
+      - name: name_zh
+        dtype: string
+      - name: name_ja
+        dtype: string
+      - name: name_nl
+        dtype: string
+      - name: name_sr
+        dtype: string
+      - name: name_ro
+        dtype: string
+      - name: name_ar
+        dtype: string
+      - name: name_uk
+        dtype: string
+      - name: name_mn
+        dtype: string
+      - name: name_ko
+        dtype: string
+      - name: name_tr
+        dtype: string
+      - name: name_sv
+        dtype: string
+      - name: name_he
+        dtype: string
+      - name: name_hu
+        dtype: string
+  - config_name: translations
+    features:
+      - name: id
+        dtype: string
+      - name: section
+        dtype: string
+      - name: en
+        dtype: string
+      - name: de
+        dtype: string
+      - name: es
+        dtype: string
+      - name: fr
+        dtype: string
+      - name: cs
+        dtype: string
+      - name: it
+        dtype: string
+      - name: ru
+        dtype: string
+      - name: pl
+        dtype: string
+      - name: pt
+        dtype: string
+      - name: el
+        dtype: string
+      - name: zh
+        dtype: string
+      - name: ja
+        dtype: string
+      - name: nl
+        dtype: string
+      - name: sr
+        dtype: string
+      - name: ro
+        dtype: string
+      - name: ar
+        dtype: string
+      - name: uk
+        dtype: string
+      - name: mn
+        dtype: string
+      - name: ko
+        dtype: string
+      - name: tr
+        dtype: string
+      - name: sv
+        dtype: string
+      - name: he
+        dtype: string
+      - name: hu
+        dtype: string
 ---
 
-# FragDB v4.7 — Fragrantica Fragrance Database (Sample)
+# FragDB v5.0 — Fragrance Database (Multilingual, Sample)
 
-The most comprehensive structured fragrance database available. This is a **free sample** containing 10 fragrances with related brands, perfumers, notes, and accords.
+The most comprehensive structured fragrance database available. This is a **free sample** containing 10 fragrances with related brands, perfumers, notes, accords, and a complete translation vocabulary.
 
-## What's New in v4.7
+## What's New in v5.0
 
-- **Updated data**: 126,858 fragrances, 7,573 brands, 2,893 perfumers, 2,494 notes
-- **67 data fields** across 5 interconnected CSV files
+- **23 languages** — all labels, note names, accords, countries, statuses translated
+- **translations.csv** — new vocabulary file (34 entries) for gender and voting labels
+- **Compact notes pyramid** — `note_id,opacity,weight` (name/icon via notes.csv JOIN)
+- **2,508 notes** — each name variant has its own ID with translations
+- **Gender & voting fields** use translation IDs for multilingual support
 
 ## Dataset Description
 
-FragDB is a relational database of the fragrance industry containing:
-
 | File | Records | Fields | Description |
 |------|---------|--------|-------------|
-| `fragrances.csv` | 10 | 30 | Iconic fragrances with notes, accords, ratings |
-| `brands.csv` | 10 | 10 | Luxury brand profiles |
-| `perfumers.csv` | 10 | 11 | Master perfumer profiles |
-| `notes.csv` | 10 | 11 | Fragrance notes with Latin names, odor profiles |
-| `accords.csv` | 10 | 5 | Scent accords with display colors |
+| `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 |
+| `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) |
 
 ### Full Database
 
 | | Sample | Full Database |
 |---|--------|---------------|
-| Fragrances | 10 | **126,858** |
-| Brands | 10 | **7,573** |
-| Perfumers | 10 | **2,893** |
-| Notes | 10 | **2,494** |
+| Fragrances | 10 | **127,579** |
+| Brands | 10 | **7,609** |
+| Perfumers | 10 | **2,905** |
+| Notes | 10 | **2,508** |
 | Accords | 10 | **92** |
-| **Total Records** | 50 | **139,910** |
-
-Full database available at [fragdb.net](https://fragdb.net)
+| Translations | 34 | **34** |
+| Languages | 23 | **23** |
+| **Total Records** | 84 | **140,727** |
 
 ## Quick Start
 
-### Using Hugging Face Datasets
-
-```python
-from datasets import load_dataset
-
-# Load all files
-fragrances = load_dataset("FragDBnet/fragrance-database", "fragrances")
-brands = load_dataset("FragDBnet/fragrance-database", "brands")
-perfumers = load_dataset("FragDBnet/fragrance-database", "perfumers")
-notes = load_dataset("FragDBnet/fragrance-database", "notes")
-accords = load_dataset("FragDBnet/fragrance-database", "accords")
-```
-
-### Using Pandas
-
 ```python
 import pandas as pd
 
 fragrances = pd.read_csv('fragrances.csv', sep='|')
 brands = pd.read_csv('brands.csv', sep='|')
-perfumers = pd.read_csv('perfumers.csv', sep='|')
 notes = pd.read_csv('notes.csv', sep='|')
-accords = pd.read_csv('accords.csv', sep='|')
+translations = pd.read_csv('translations.csv', sep='|')
 
-# Join fragrances with brands
+# Join and translate
 fragrances['brand_id'] = fragrances['brand'].str.split(';').str[1]
 df = fragrances.merge(brands, left_on='brand_id', right_on='id', suffixes=('', '_brand'))
-
-print(df[['name', 'name_brand', 'country', 'rating']])
+trans = translations.set_index('id')
+df['gender_ru'] = df['gender'].map(lambda x: trans.loc[x, 'ru'] if x in trans.index else x)
+print(df[['name', 'name_brand', 'country_ru', 'gender_ru']])
 ```
 
-## Data Structure
-
-### fragrances.csv (30 fields)
-
-#### Identity & Basic Info
-| Field | Description | Example |
-|-------|-------------|---------|
-| `pid` | Unique fragrance ID | `9828` |
-| `url` | Direct link to fragrance page | URL |
-| `brand` | Brand name and ID reference | `Creed;b1` |
-| `name` | Fragrance name | `Aventus` |
-| `year` | Release year | `2010` |
-| `gender` | Target gender | `for men`, `for women`, `for women and men` |
-| `collection` | Collection within brand | Text |
-
-#### Media
-| Field | Description | Format |
-|-------|-------------|--------|
-| `main_photo` | Main product image | URL |
-| `info_card` | Perfume Card | URL |
-| `user_photoes` | Fragram Photos | Semicolon-separated URLs |
-| `video_url` | YouTube video | URL |
-
-#### Composition
-| Field | Description | Format |
-|-------|-------------|--------|
-| `accords` | Main accords | `a1:100;a2:67;a3:45` (join with accords.csv) |
-| `notes_pyramid` | Fragrance Notes | `top(name,id,url,opacity,weight;...)middle(...)base(...)` |
-| `perfumers` | Perfumer names and IDs | `Erwin Creed;p1;Olivier Creed;p2` |
-| `description` | Fragrance description | HTML text |
-
-#### Ratings & Votes (Structured Format: category:votes:percent)
-| Field | Description | Format |
-|-------|-------------|--------|
-| `rating` | Perfume rating | `4.33;24561` |
-| `appreciation` | Rating votes with counts | `love:5000:45.2;like:3000:27.1;...` |
-| `price_value` | Price value votes with counts | `way_overpriced:6658:30;overpriced:2844:13;...` |
-| `gender_votes` | Gender votes with counts | `female:149:2;unisex:866:10;male:7977:88` |
-| `longevity` | Duration votes | `very_weak:784:5;weak:1459:10;moderate:5869:40;...` |
-| `sillage` | Projection votes | `intimate:1816:12;moderate:8139:55;strong:4289:29;...` |
-| `season` | Seasonal suitability | `winter:4439:44.39;spring:9760:97.60;...` |
-| `time_of_day` | Day/night suitability | `day:10000:100;night:6893:68.93` |
-
-#### Related Fragrances
-| Field | Description | Format |
-|-------|-------------|--------|
-| `by_designer` | Same brand fragrances | Semicolon-separated PIDs |
-| `in_collection` | Same collection fragrances | Semicolon-separated PIDs |
-| `reminds_of` | This perfume reminds me of | Semicolon-separated PIDs |
-| `also_like` | People who like this also like | Semicolon-separated PIDs |
-
-#### New in v3.0
-| Field | Description |
-|-------|-------------|
-| `reviews_count` | Total number of user reviews |
-| `pros_cons` | What People Say |
-
-### notes.csv (11 fields) — NEW in v3.0
-
-| Field | Description | Example |
-|-------|-------------|---------|
-| `id` | Unique note identifier | `n1` |
-| `name` | Note name | `Lavender` |
-| `url` | Fragrantica note page | URL |
-| `latin_name` | Latin/scientific name | `Lavandula angustifolia` |
-| `other_names` | Alternative names | `English Lavender, True Lavender` |
-| `group` | Note category | `Flowers`, `Woods`, `Citrus` |
-| `odor_profile` | Scent description | `Fresh, herbal, floral...` |
-| `main_icon` | Primary icon image URL | URL |
-| `alt_icons` | Alternative icons | Semicolon-separated URLs |
-| `background` | Background/splash image | URL |
-| `fragrance_count` | Number of fragrances | `12229` |
-
-### accords.csv (5 fields) — NEW in v3.0
-
-| Field | Description | Example |
-|-------|-------------|---------|
-| `id` | Unique accord identifier | `a1` |
-| `name` | Accord name | `woody` |
-| `bar_color` | Display bar color (hex) | `#774414` |
-| `font_color` | Text color (hex) | `#FFFFFF` |
-| `fragrance_count` | Number of fragrances | `45892` |
-
-### brands.csv (10 fields)
-
-| Field | Description | Example |
-|-------|-------------|---------|
-| `id` | Unique brand identifier | `b1` |
-| `name` | Brand name | `Creed` |
-| `url` | Fragrantica brand page | URL |
-| `logo_url` | Brand logo image | URL |
-| `country` | Country of origin | `France` |
-| `main_activity` | Primary business | `Fragrance house` |
-| `website` | Official website | `https://www.creed.com` |
-| `parent_company` | Parent company | `Kering` |
-| `description` | Brand description | HTML text |
-| `brand_count` | Number of fragrances | `847` |
-
-### perfumers.csv (11 fields)
-
-| Field | Description | Example |
-|-------|-------------|---------|
-| `id` | Unique perfumer identifier | `p1` |
-| `name` | Perfumer name | `Alberto Morillas` |
-| `url` | Fragrantica perfumer page | URL |
-| `photo_url` | Perfumer photo | URL |
-| `status` | Professional status | `Master Perfumer` |
-| `company` | Current company | `Firmenich` |
-| `also_worked` | Previous companies | `Quest International, Givaudan` |
-| `education` | Education | `ISIPCA` |
-| `web` | Personal website | URL |
-| `perfumes_count` | Number of fragrances | `538` |
-| `biography` | Biography | HTML text |
-
-## Parsing Examples (v3.0)
-
-### Parse v3.0 voting format
-```python
-def parse_votes(votes_str):
-    """Parse v3.0 voting format: category:votes:percent"""
-    result = {}
-    for item in votes_str.split(';'):
-        parts = item.split(':')
-        if len(parts) >= 3:
-            result[parts[0]] = {
-                'votes': int(parts[1]),
-                'percent': float(parts[2])
-            }
-    return result
-
-longevity = parse_votes(row['longevity'])
-# {'very_weak': {'votes': 784, 'percent': 5.0}, 'weak': {...}, ...}
-```
-
-### Parse v3.0 accords format with join
-```python
-def parse_accords(accords_str, accords_df):
-    """Parse v3.0 accords format: id:percent and join with reference"""
-    result = []
-    for item in accords_str.split(';'):
-        accord_id, percent = item.split(':')
-        accord_info = accords_df[accords_df['id'] == accord_id].iloc[0]
-        result.append({
-            'name': accord_info['name'],
-            'percent': int(percent),
-            'bar_color': accord_info['bar_color'],
-            'font_color': accord_info['font_color']
-        })
-    return result
-```
-
-### Parse notes pyramid with opacity/weight
-```python
-import re
-
-def parse_notes_pyramid(pyramid_str):
-    """Parse v3.0 notes pyramid with opacity and weight"""
-    result = {'top': [], 'middle': [], 'base': []}
-    for layer in ['top', 'middle', 'base']:
-        match = re.search(rf'{layer}\(([^)]+)\)', pyramid_str)
-        if match:
-            for note in match.group(1).split(';'):
-                parts = note.split(',')
-                result[layer].append({
-                    'name': parts[0],
-                    'id': parts[1] if len(parts) > 1 else None,
-                    'url': parts[2] if len(parts) > 2 else None,
-                    'opacity': float(parts[3]) if len(parts) > 3 else None,
-                    'weight': float(parts[4]) if len(parts) > 4 else None
-                })
-    return result
-```
-
-## Use Cases
-
-- **Recommendation Systems** — Build "if you like X, try Y" engines using accords, notes, and also_like data
-- **Market Analysis** — Analyze trends by brand, country, year, or perfumer
-- **NLP** — Process descriptions, odor profiles, and pros/cons data
-- **Collection Apps** — Build fragrance tracking and discovery apps
-- **E-commerce** — Enrich product catalogs with detailed fragrance data
-- **Data Visualization** — Create accord charts with actual display colors from accords.csv
-
 ## File Format
 
 - **Format**: CSV (pipe `|` delimited)
@@ -444,8 +597,6 @@ def parse_notes_pyramid(pyramid_str):
 
 This sample is released under the **CC BY-NC 4.0 License**. Free for non-commercial use with attribution.
 
-The full database requires a commercial license — see [fragdb.net](https://fragdb.net) for details.
-
 ## Citation
 
 ```bibtex
@@ -453,8 +604,8 @@ The full database requires a commercial license — see [fragdb.net](https://fra
   title={FragDB Fragrantica Fragrance Database},
   author={FragDB},
   year={2026},
-  version={4.7},
+  version={5.0},
   url={https://fragdb.net},
-  note={Sample dataset with 5 files, 67 fields}
+  note={Multilingual dataset with 6 files, 23 languages}
 }
-```
+```

accords.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 392
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