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README.md

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 # Dataset Description
 
-This dataset contains 128 highly detailed architectural traces mapping out security implementations for hybrid global banking systems encompassing both fiat and cryptocurrency infrastructures. 
+This dataset contains 25. highly detailed architectural traces mapping out security implementations for hybrid global banking systems encompassing both fiat and cryptocurrency infrastructures. 
 
-This is 6,000,000 estimated tokens of fable 5 data, filtered and classified to remove low-quality entries by qwen 2.5 7B, and improved by GLM 5.2. The dataset bypasses basic conversational filler and is engineered to advance the domain precision, strict formatting adherence, and contextual logic of models during supervised fine-tuning.
+This is 10,000,000 estimated tokens of fable 5 data, filtered and classified to remove low-quality entries by qwen 2.5 7B, and improved by GLM 5.2. The dataset bypasses basic conversational filler and is engineered to advance the domain precision, strict formatting adherence, and contextual logic of models during supervised fine-tuning.
 
 ## Dataset Statistics
 
 | Metric | Value | Details |
 | :--- | :--- | :--- |
-| **Total Examples** | 128 Traces | Non-repetitive filtered architectural scenarios. |
-| **Total Dataset Size** | 31 MB | Uncompressed raw `.jsonl` payload. |
-| **Average Trace Size** | ~240 KB | High-density entries with complete configurations. |
+| **Total Examples** | 250 Traces | Non-repetitive filtered architectural scenarios. |
+| **Total Dataset Size** | 40 MB | Uncompressed raw `.jsonl` payload. |
+| **Average Trace Size** | ~160 KB | High-density entries with complete configurations. |
 | **Domain Scope** | FinTech Architecture | Covers global jurisdictions, SWIFT, and general coding. |
 
 ## Dataset Contents & Coverage