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README.md

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+# PokeDAO Mew-1A Training Dataset (Layered Architecture)
+
+🧬 **Project Mew-1A**: The world's first AI training dataset specifically for Pokemon TCG pricing analysis, extracted from a production-ready layered database architecture.
+
+## Dataset Description
+
+This dataset contains **10,000 high-quality training examples** extracted from PokeDAO's layered database containing **116,744 market listings** across multiple marketplaces.
+
+### Layered Architecture
+
+The data is sourced from a 6-layer database architecture:
+
+- **Layer 0**: Official Pokemon TCG metadata (21,626 cards from TCGdex)
+- **Layer 1**: Canonical card registry (35,421 unique card variants)
+- **Layer 2**: Market listings (116,744 listings - SOURCE OF THIS DATASET)
+- **Layer 3**: Sale records (pending)
+- **Layer 4**: Consensus pricing (pending)
+- **Layer 5**: Signals & alerts (pending)
+
+## Price Tier Classification
+
+Each card is classified into **TCG Rarity-Based Price Tiers**:
+
+| Tier | Count | Percentage |
+|------|-------|------------|
+| 🌟 SECRET RARE | 13 | 0.1% |
+| 💫 ULTRA RARE | 203 | 2.0% |
+| ✨ FULL ART | 1,156 | 11.6% |
+| ⚡ HOLO RARE | 6,930 | 69.3% |
+| 📦 UNCOMMON | 1,698 | 17.0% |
+| 📄 COMMON | 0 | 0.0% |
+
+### Tier Definitions
+
+- 🌟 **SECRET RARE**: $100,000+ (Ultra-premium grails)
+- 💫 **ULTRA RARE**: $10,000-100k (High-value collectibles)
+- ✨ **FULL ART**: $1,000-10k (Premium cards)
+- ⚡ **HOLO RARE**: $100-1k (Standard collectibles)
+- 📦 **UNCOMMON**: $10-100 (Common playables)
+- 📄 **COMMON**: $1-10 (Bulk cards)
+
+## Dataset Structure
+
+### Features
+
+- `id`: Unique example identifier
+- `card_name`: Canonical card name
+- `card_set`: TCG set name
+- `card_number`: Card number in set
+- `variant`: Card variant (holo, reverse holo, etc.)
+- `rarity`: Official TCG rarity
+- `is_first_edition`: First edition flag
+- `is_holo`: Holographic flag
+- `is_reverse_holo`: Reverse holo flag
+- `is_shadowless`: Shadowless variant flag
+- `avg_price_cents`: Average price in cents
+- `avg_price_formatted`: Human-readable price
+- `total_listings`: Number of market listings
+- `price_tier`: TCG-based price tier
+- `price_tier_emoji`: Tier emoji indicator
+- `sample_listings`: JSON array of sample listings
+- `data_quality`: Data quality score (0-1)
+
+### Example Row
+
+```python
+{
+  'id': 'mew1a-1',
+  'card_name': 'Charizard',
+  'card_set': 'Base Set',
+  'card_number': '4/102',
+  'variant': 'Holo',
+  'rarity': 'Rare Holo',
+  'avg_price_cents': 50000,
+  'avg_price_formatted': '$500.00',
+  'total_listings': 42,
+  'price_tier': 'HOLO RARE',
+  'price_tier_emoji': '⚡',
+  ...
+}
+```
+
+## Use Cases
+
+1. **Price Prediction Models**: Train models to predict card prices based on attributes
+2. **Market Analysis**: Analyze pricing trends across tiers and sets
+3. **Investment Recommendations**: Build systems to identify undervalued cards
+4. **Price Tier Classification**: Classify cards into value tiers
+5. **Anomaly Detection**: Identify mispriced listings
+
+## Recommended Models
+
+- **Base Model**: `meta-llama/Llama-3.2-3B-Instruct`
+- **Task**: Text generation / Classification
+- **Fine-tuning**: LoRA (rank 8, alpha 16)
+
+## Metadata
+
+- **Version**: v1
+- **Created**: 2025-10-06T01:15:40.013Z
+- **Source**: Layered Database (canonical_cards + market_listings)
+- **Tier System**: TCG Rarity-Based (Option B)
+- **Total Examples**: 10,000
+- **Duration**: 1.6s
+
+## Data Sources
+
+- eBay Browse API
+- Courtyard (Ethereum + Polygon tokenized cards)
+- Collector Crypt (Helius/Solana NFTs)
+- Phygitals (Solana NFT marketplace)
+- TCG Player API
+
+## License
+
+Proprietary - PokeDAO 2025
+
+## Citation
+
+```bibtex
+@dataset{pokedao_mew1a_2025,
+  title={PokeDAO Mew-1A Training Dataset},
+  author={PokeDAO},
+  year={2025},
+  publisher={HuggingFace},
+  url={https://huggingface.co/datasets/ChicoPanama/pokedao-mew1a-training-data-layered}
+}
+```
+
+## Links
+
+- **PokeDAO**: [GitHub](https://github.com/pokedao)
+- **Project Mew-1A**: Fine-tuned Llama-3.2-3B for TCG pricing
+- **Database Architecture**: 6-layer canonical system
+
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: card_name
-    dtype: string
-  - name: card_set
-    dtype: string
-  - name: card_number
-    dtype: string
-  - name: variant
-    dtype: 'null'
-  - name: rarity
-    dtype: string
-  - name: is_first_edition
-    dtype: bool
-  - name: is_holo
-    dtype: bool
-  - name: is_reverse_holo
-    dtype: bool
-  - name: is_shadowless
-    dtype: bool
-  - name: avg_price_cents
-    dtype: int64
-  - name: avg_price_formatted
-    dtype: string
-  - name: total_listings
-    dtype: int64
-  - name: price_tier
-    dtype: string
-  - name: price_tier_emoji
-    dtype: string
-  - name: sample_listings
-    dtype: string
-  - name: data_quality
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 3663350
-    num_examples: 10000
-  download_size: 648335
-  dataset_size: 3663350
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+
+Generated with Project Mew-1A | 2025-10-05