Update README.md

README.md

@@ -1,4 +1,14 @@
 ---
+configs:
+  - config_name: sample_50
+    data_files:
+      - split: train
+        path: "sample_50/metadata.csv"
+  - config_name: preview_1000
+    data_files:
+      - split: train
+        path: "preview_1000/metadata.csv"
+
 license: other
 license_name: zion-vintage-media-proprietary
 license_link: LICENSE
@@ -17,46 +27,34 @@ tags:
 - Text-Generation
 - Historical
 size_categories:
-- n<1K
-pretty_name: Zion Vintage Recipes (Sample)
+- 1K<n<10K
+pretty_name: Zion Vintage Recipes (Multimodal Archive)
 ---
 
-# Zion Vintage Media: Historical Multimodal Culinary Archive (Sample)
-
-## 📌 Commercial Licensing & Full Access
-**This repository contains a 50-item evaluation sample.** The full, production-ready dataset contains **10,000+ multimodal pairs** (High-Resolution Scans + Structured JSON) of unpublished, offline historical recipes spanning the 1940s to the 1990s. 
-
-To purchase a commercial license for the full SQL database and high-resolution TIF/JPG scans for AI/ML training, please contact:
-* **Email:** admin@zionvintagemedia.com
-* **Website:** [zionvintagemedia.com]Vintage store(https://zionvintagemedia.com)
-* **Showcase:** [Dataset Explorer](https://ohcc-dataset-explore.vercel.app/)
+# Zion Vintage Media: Historical Multimodal Culinary Archive
 
----
+## 💎 Commercial Licensing & Full Dataset Access
+**This repository contains two evaluation tiers.** The full, production-ready dataset contains **27,000+ multimodal pairs** (High-Resolution Scans + Structured JSON) of unpublished, offline historical recipes spanning from the 1940s to the 2010s. 
 
-## 📊 Dataset Overview
-This dataset provides rare, Alternative Data for training Large Language Models (LLMs) and Vision-Language Models (VLMs). Because these physical, regional church cookbooks have never been published on the public internet, they provide completely novel tokens, historical dialects, archaic measurements, and procedural logic free from standard web-scraping contamination.
+This data is **Copyright Cleared** and is **Internet-Original**, meaning it has never been indexed by web crawlers, making it perfect for training models on "uncontaminated" tokens.
 
-### Ground Truth Quality
-All text has been transcribed and structured from original physical media using high-resolution CZUR archival scanners, allowing for perfect Image-to-Text grounding.
+To purchase a commercial license for the full SQL database and high-resolution TIF/JPG scans, please contact:
+* **Email:** admin@zionarchive.ai
+* **Website:** [Zion Archive](https://zionvintagemedia.com)
+* **Live Showcase:** [Interactive Dataset Explorer](https://recipes.zionarchive.ai/)
 
 ---
 
-## 🗄️ Data Structure (22 Highly-Enriched Columns)
-This sample `metadata.csv` demonstrates our rigorous data engineering. It includes 22 structured columns:
-
-**Recipe Data:**
-* `recipe_id`, `contributor`, `contributor_role`
-* `yield_amount`, `oven_temperature`
-* `ingredients` (Serialized JSON)
-* `instructions` & `instruction_steps` (Serialized JSON)
-* `special_notes` & `data_quirks` (Captures historical oddities and OCR edge-cases)
+## 📂 Available Versions
+Use the Hugging Face `config` selector to load your preferred scale:
 
-**Historical Cookbook Context:**
-* `book_title`, `book_author`, `publication_year`
-* `location`, `sales_purpose`, `historical_notes`
+| Version | Size | Purpose |
+| :--- | :--- | :--- |
+| **sample_50** | 50 Rows | Instant format check and schema validation. |
+| **preview_1000** | 1,000 Rows | Research preview for loss-curve testing & mini-finetuning. |
 
-**File Mapping:**
-* `source_filename`, `source_filenames` (For multimodal image pairing)
+### How to load the 1,000-Row Preview:
+```python
+from datasets import load_dataset
 
----
-*© 2026 Bot and Dot Retail Management LLC / Zion Vintage Media.*
+dataset = load_dataset("dataDatasic/historical-culinary-archive-multimodal", "preview_1000")