Add free sample and dataset card

README.md

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+---
+license: cc-by-nc-4.0
+pretty_name: SuppDB — Supplements & Nootropics Dataset (Free Sample)
+tags:
+- health
+- chemistry
+- supplements
+- nootropics
+- nih-dsld
+- pubchem
+- recommender-systems
+size_categories:
+- 1K<n<10K
+---
+
+# 💊 SuppDB — Supplements & Nootropics Dataset (Free Sample)
+
+A **free sample** of SuppDB: a structured dataset of real supplement & nootropic products built **exclusively from the public [NIH Dietary Supplement Label Database (DSLD)](https://dsld.od.nih.gov/)** — every active ingredient normalized to **milligrams**, proprietary blends flagged where the dose is undisclosed, and compounds enriched with **NIH PubChem** chemical identity. Think *INCIDecoder for supplements*: one row per active ingredient, with dose, form, safety reference, and molecular identity.
+
+**This sample contains 2,249 ingredient records across 300 real products from 218 brands.**
+
+The **full dataset covers 17,000+ products, 2,000+ brands, 115,000+ active-ingredient records, and 40,000+ proprietary-blend flags** (SQLite · CSV · JSON).
+
+## Get the Full Dataset
+
+* 🔗 **Official Portal:** [suppdb.net](https://supplements-nootropics-suppdb.pages.dev) — full snapshot $99 one-time
+* 🏆 **Kaggle:** [SuppDB Supplements Sample](https://www.kaggle.com/datasets/ahtiticheamine/suppdb-supplements-sample)
+* 💊 **Interactive Explorer:** [SuppDB Sample Explorer Space](https://huggingface.co/spaces/Ichlibitiche/suppdb-sample-explorer)
+
+## Key Columns
+
+| Column | Description |
+| :--- | :--- |
+| `brand`, `product_name`, `upc_barcode`, `form_type` | Product identity as printed on the label |
+| `ingredient`, `ingredient_form`, `ingredient_category` | Active ingredient per row |
+| `amount_per_serving_mg` | Dose normalized to mg (`mcg`, `g`, substance-specific `IU` handled correctly) |
+| `is_proprietary_blend` | `1` where the dose is hidden in a proprietary blend (`amount = 0`) — transparency, not omission |
+| `recommended_daily_mg`, `upper_safety_limit_mg` | NIH DRI reference intakes; NULL where no official value exists |
+| `pubchem_cid`, `molecular_formula`, `molecular_weight`, `canonical_smiles`, `inchikey` | PubChem chemistry — InChIKey canonicalizes the same molecule across label names |
+| `dsld_label_id`, `source_url` | Exact NIH DSLD label page — every record re-verifiable |
+
+## Quick Start
+
+```python
+import pandas as pd
+
+df = pd.read_csv("hf://datasets/Ichlibitiche/suppdb-supplements-sample/suppdb_sample.csv")
+print(len(df), "ingredient records,", df["product_id"].nunique(), "products,", df["brand"].nunique(), "brands")
+hidden = df[df["is_proprietary_blend"] == 1]
+print(len(hidden), "ingredients with doses hidden in proprietary blends")
+```
+
+## Use Cases
+
+- AI health co-pilots & supplement recommendation apps (structured dose + chemistry data)
+- Ingredient/dose comparison and proprietary-blend transparency tools
+- ML / RAG corpora over supplement labels
+- Formulation, market, and assortment research across brands and ingredient categories
+
+## License
+
+Sample data: **CC BY-NC 4.0** — attribution, non-commercial. Full dataset commercially licensed at [suppdb.net](https://supplements-nootropics-suppdb.pages.dev); underlying facts are public-domain U.S. Government data (NIH DSLD + PubChem) — the license covers SuppDB's curated, normalized compilation. **Not medical advice** — always verify against the current physical label. Contact: `suppdb.doorframe589@simplelogin.com`.