| --- |
| license: cc-by-nc-4.0 |
| pretty_name: RoasterDB — Specialty Coffee Dataset (Free Sample) |
| tags: |
| - coffee |
| - food |
| - e-commerce |
| - flavor |
| - sca-flavor-wheel |
| - recommender-systems |
| size_categories: |
| - n<1K |
| --- |
| |
| # ☕ RoasterDB — Specialty Coffee Dataset (Free Sample) |
|
|
| A **free sample** of RoasterDB: a structured dataset of specialty-coffee products scraped from the **direct storefronts** of curated artisan roasters worldwide, with tasting notes normalized to the **Specialty Coffee Association (SCA) Flavor Wheel** and a **source URL on every record** so any fact can be re-verified. |
|
|
| **This sample contains 100 verified-tier records across 72 roasters** — a real taste of the schema and quality. |
|
|
| The **full dataset covers 8,000+ products, 280+ roasters, 20+ countries, and 11,000+ SCA flavor mappings** (SQLite · CSV · JSON). |
|
|
| ## Get the Full Dataset |
|
|
| * 🔗 **Official Portal:** [roasterdb.net](https://specialty-coffee-roasterdb.pages.dev) — full snapshot $99 one-time |
| * 🏆 **Kaggle:** [RoasterDB Specialty Coffee Sample](https://www.kaggle.com/datasets/ahtiticheamine/roasterdb-specialty-coffee-sample) |
| * 🔄 **Live scraping (self-serve):** [Specialty Coffee Roaster Scraper on Apify](https://apify.com/dataengineered/specialty-coffee-roaster-scraper) — pay-per-result |
| * ☕ **Interactive Explorer:** [Dataset Sample Explorers Space — RoasterDB tab](https://huggingface.co/spaces/Ichlibitiche/dataset-sample-explorers) |
|
|
| ## Key Columns |
|
|
| | Column | Description | |
| | :--- | :--- | |
| | `product_id`, `title`, `source_roaster` | Product identity | |
| | `origin_country`, `origin_region`, `altitude_min/max_meters` | Origin, where stated | |
| | `process_method`, `roast_level`, `varietals` | Processing attributes | |
| | `weight_grams`, `price_currency`, `price_value` | Unit and sanitized price | |
| | `tasting_notes_sca_nodes` | `; `-separated SCA wheel paths, e.g. `Fruity > Berry > Blueberry` | |
| | `quality_flag` | `good` (verified tier) or `questionable` | |
| | `source_url`, `retrieved_at`, `dataset_version` | Full provenance — every record re-verifiable | |
|
|
| Coverage is honest and uneven — storefronts don't all publish farm-level data. Full field coverage numbers are documented at [roasterdb.net](https://specialty-coffee-roasterdb.pages.dev). |
|
|
| ## Quick Start |
|
|
| ```python |
| import pandas as pd |
| |
| df = pd.read_csv("hf://datasets/Ichlibitiche/roasterdb-specialty-coffee-sample/roasterdb_sample.csv") |
| print(len(df), "coffees from", df["source_roaster"].nunique(), "roasters") |
| # → 100 coffees from 72 roasters |
| ``` |
|
|
| ## Use Cases |
|
|
| - Coffee subscription & recommendation apps (structured product + flavor data) |
| - Flavor-based search and discovery on the SCA graph |
| - ML / RAG corpora over specialty coffee |
| - Market & assortment research across roasters, origins, and price bands |
|
|
| ## License |
|
|
| Sample data: **CC BY-NC 4.0** — free to use with attribution, non-commercial. The full dataset is available under a commercial license at [roasterdb.net](https://specialty-coffee-roasterdb.pages.dev). Questions or roaster removal requests: `RoasterDB@proton.me`. |
|
|
