Ichlibitiche/winedb-fine-wines-and-vintages

🍷 WineDB — Fine Wine & Vintages Sample Dataset

Full dataset: winedb.dataengineered.io · $49 one-time → Buy on Stripe · the same sample on Kaggle

A curated free sample of the WineDB dataset: highly normalized relational tables tracking fine wine producers, cuvees, exact vintage varietal blend percentages (SUM <= 100.001, enforced by SQLite triggers), alcohol content (ABV %), organoleptic tasting descriptors, and secondary market valuation indices. Prefer SQLite? The same sample ships as a relational winedb.sqlite (foreign keys + blend-sum triggers) on the WineDB site on GitHub, and in this repo as winedb.sqlite.

What's in this sample

File	Rows	What it shows
wineries.csv	26	Producer registry with country, region, founded year + source URL
wines.csv	27	Canonical wine cuvees with type and appellation
vintages.csv	59	Year-specific releases: ABV, bottle specs, aging regime, release price, valuation index
blends.csv	171	Exact varietal composition percentages per vintage
tasting_profiles.csv	236	Organoleptic aromatic and palate descriptors
appellations.csv	27	Controlled geographical indication taxonomy

Quick start

from datasets import load_dataset

vintages = load_dataset("Ichlibitiche/winedb-fine-wines-and-vintages", "vintages", split="train")
blends   = load_dataset("Ichlibitiche/winedb-fine-wines-and-vintages", "blends", split="train")

Or with pandas (and the bundled relational SQLite):

import pandas as pd
vintages = pd.read_csv("hf://datasets/Ichlibitiche/winedb-fine-wines-and-vintages/vintages.csv")

The full dataset

• 3,675 vintages across 106 iconic wineries and 57 appellations
• Laboratory chemistry (residual_sugar, acidity, pH) from SAQ & LCBO listings
• Liv-ex style auction valuation medians under a strict >= 3 observations rule
• US TTB COLA label registry links & OCR text payloads
• Master 11,960-row data_sources provenance registry — every record resolves to a source ledger entry
• 3NF relational winedb.sqlite + 7 normalized CSV exports, refreshed monthly

→ Get it at winedb.dataengineered.io · GitHub: WhiskyyDB/wine-database · Data dictionary · Sources & licenses

Use cases

• Wine list & hospitality software (clean producer/cuvee/vintage names, ABV, bottle specs)
• Varietal-blend analytics and recommendation engines (exact percentages, not just labels)
• Valuation and vintage-quality models on release price vs. secondary market index
• Teaching relational schema design: six cleanly normalized, join-ready tables
• ML / RAG corpora over a provenance-tracked wine knowledge base

License

Sample: CC-BY-4.0 — free for any use including commercial, with attribution.

Questions, corrections, or full-dataset access: winedb@dataengineered.io