Datasets:

joyfromtinkerterror
/

beautyproducts

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+beauty_data.csv filter=lfs diff=lfs merge=lfs -text

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - image-to-text
+  - tabular-classification
+  - text-classification
+  - feature-extraction
+language:
+  - en
+tags:
+  - beauty
+  - skincare
+  - ingredients
+  - cosmetics
+  - makeup
+  - machine-learning
+  - computer-vision
+pretty_name: "The Beauty API: 180k+ Skincare & Cosmetics Products Dataset (Sample)"
+size_categories:
+  - 1K<n<10K
+---
+# The Beauty API: 180k+ Skincare & Cosmetics Products Dataset
+**The world’s most comprehensive, normalized products database for beauty-tech and market research.**
+This repository contains a structured sample of **The Beauty API**. While most beauty datasets are messy scrapes, this is a production-ready asset built on a research-backed backbone, normalized for day-one integration into recommendation engines, e-commerce storefronts, and AI models.
+**[Purchase Full Dataset License](https://thebeautyapi.com)**
+---
+## 📊 Dataset Overview (as of 10 July 2026)
+- **Total Records:** 180,000+ Unique Products, their functional classifications, ingredients list and dermatological safety
+- **Brand Coverage:** 20,000+ Global Brands (e.g., Paula's Choice, CeraVe, The Ordinary, Augustinus Bader)
+- **Image Archive:** 18GB of high-resolution, ID-mapped imagery (Standardized white backgrounds)
+- **Formats:** Interchangeable **CSV** and **JSONL**
+---
+## 💡 Data Capabilities
+### 1. Ingredients Intelligence & Safety
+Every product is parsed into a rich, structured object to bypass months of data wrangling.
+- **Full INCI breakdown:** Each ingredient carries its on-label name, common aliases (`other_names`), and functional roles (`functions`, e.g. "solvent," "antioxidant," "soothing"), in exact on-pack order with label position preserved.
+- **Chemical identifiers:** Regulatory-grade **CAS**, **EC**, **IUPAC**, and **Ph. Eur.** names per ingredient for enterprise R&D and compliance work.
+- **Dermatological Safety:** Research-backed **comedogenic ratings (0–5)**, **irritancy scores (0–5)**, and editorial **expert ratings** at the ingredient level.
+- **Free-from flags:** Boolean columns for instant filtering — `contains_fragrance`, `contains_drying_alcohol`, `contains_parabens`, `contains_sulfates`, `contains_silicones`.
+- **Product classification:** Product `category` and brand `origin` for segmentation.
+### 2. Machine Learning & Computer Vision
+A pre-labeled training set for high-accuracy visual recognition and retail audits.
+- **Branding Analysis:** Train multimodal models to decode the correlation between packaging design and ingredient quality.
+- **Visual Search:** Use the 18GB mapped archive to build "Point-and-Know" camera features that bypass the need for barcodes.
+- **Retail Auditing:** Power automated shelf-scanners to identify 180,000+ SKUs in real-world lighting conditions.
+### 3. E-commerce Enrichment (B2B)
+Metadata designed to boost conversion and lower return rates for indie e-com and retail.
+- **Page Enrichment:** Generate SEO-rich product descriptions and ingredient glossaries.
+- **Trust Signals:** Implement safety badges and personalized skin-type matching engines.
+---
+## Technical Schema
+The dataset is delivered in interchangeable **CSV** and **JSONL** formats.
+**Product fields**
+| Field | Type | Nullable | Description |
+|---|---|---|---|
+| `id` | integer | no | Stable unique product id. Matches the image filename (`<id>.jpeg`). Ids are not strictly sequential; gaps reflect products dropped during clean. |
+| `brand` | string | no | Brand / manufacturer name. |
+| `name` | string | no | Product name. May contain non-ASCII characters, punctuation, or unicode whitespace. |
+| `image_name` | string | yes | Filename of the product image (`<id>.jpeg`), or `null`. |
+| `category` | string | yes | Product category (e.g. `skincare`). |
+| `origin` | string | yes | Brand country of origin, or `null`. |
+| `contains_fragrance` | boolean | no | Formulation contains fragrance/parfum. |
+| `contains_drying_alcohol` | boolean | no | Contains a drying (simple) alcohol. |
+| `contains_parabens` | boolean | no | Contains parabens. |
+| `contains_sulfates` | boolean | no | Contains sulfates. |
+| `contains_silicones` | boolean | no | Contains silicones. |
+| `ingredients_simple` | array&lt;string&gt; | yes | Flat ordered list of on-label ingredient names. In CSV this is a `|`-delimited string. Order is on-pack INCI order. *(CSV convenience column, derived from `ingredients[].label_name`.)* |
+| `ingredients` | array&lt;object&gt; | yes | Rich ingredient records, in on-pack order. In CSV this is a JSON-encoded string inside one quoted column. Per-ingredient fields below. |
+**`ingredients[]` object fields**
+| Field | Type | Nullable | Description |
+|---|---|---|---|
+| `position` | integer | no | 0-based slot in the on-pack INCI list. |
+| `label_name` | string | no | Exact on-label text for this ingredient on this product. |
+| `concentration` | string | yes | Stated concentration, if printed. |
+| `ingredient_id` | integer | no | Canonical ingredient id — the same chemical shares one id across products. |
+| `name` | string | no | Canonical ingredient name. |
+| `rating` | string | yes | Editorial expert rating (e.g. Superstar, Goodie), or `null`. |
+| `irritancy` | string | yes | Irritancy indicator (0–5 scale), or `null`. |
+| `comedogenicity` | string | yes | Comedogenic / pore-clogging indicator (0–5 scale), or `null`. |
+| `functions` | array&lt;string&gt; | yes | Functional roles (e.g. `solvent`, `antioxidant`). |
+| `cas_number` | string | yes | CAS registry number. |
+| `ec_number` | string | yes | EC number. |
+| `ph_eur_name` | string | yes | European Pharmacopoeia name. |
+| `iupac_name` | string | yes | IUPAC name. |
+| `other_names` | string | yes | Known aliases / synonyms. |
+| `category` | string | yes | Ingredient category, or `null`. |
+---
+## Licensing
+This sample dataset is provided under the **CC BY-NC 4.0** license for non-commercial research and evaluation.
+**Commercial Access:** For production e-commerce, commercial AI training, or retail audit tools, a commercial license is required. Visit [thebeautyapi.com](https://thebeautyapi.com) for licensing details and full dataset downloads.