Datasets:
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README.md
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@@ -25,7 +25,7 @@ pretty_name: GambitFlow Elite Training Data (Unified)
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&descAlignY=60)
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[](http://creativecommons.org/publicdomain/zero/1.0/)
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[**View on GitHub**](https://github.com/GambitFlow/GambitFlow) • [**Target Models: Nexus-Core & Synapse-Base**](https://huggingface.co/GambitFlow)
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* **Player Rating:** Both players must have an ELO of **2400 or higher**.
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* **Game Phase:** Skips the first 10 moves of every game to focus on non-theoretical positions.
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* **Position Selection:** An intelligent filtering algorithm was used to select only "interesting" positions (e.g., positions with material imbalance, tactical complexity, or critical endgame structures).
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* **Final Volume:** A dense collection of approximately **
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### Schema: `positions` table
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| Column | Type | Description |
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&descAlignY=60)
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[](http://creativecommons.org/publicdomain/zero/1.0/)
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[**View on GitHub**](https://github.com/GambitFlow/GambitFlow) • [**Target Models: Nexus-Core & Synapse-Base**](https://huggingface.co/GambitFlow)
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* **Player Rating:** Both players must have an ELO of **2400 or higher**.
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* **Game Phase:** Skips the first 10 moves of every game to focus on non-theoretical positions.
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* **Position Selection:** An intelligent filtering algorithm was used to select only "interesting" positions (e.g., positions with material imbalance, tactical complexity, or critical endgame structures).
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* **Final Volume:** A dense collection of approximately **10,000,000** strategically rich positions.
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### Schema: `positions` table
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| Column | Type | Description |
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