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Chess RL positions (exp183 A40 soft+SF)
Cumulative expert-iteration dataset from model MCTS vs full-strength Stockfish depth 8.
Contents
- 13,372 positions across 9 shards
- 6,109 soft MCTS (
source=mcts: visit_dist + root_q) - 7,263 hard SF moves (
source=sf: chosen_move + SF score as root_q)
Layout
manifest.json
shards/shard_XXXXXX.pt
shards/shard_XXXXXX.json
Each .pt is {"positions": [...], "meta": {...}}.
Position schema
{
"fen": "...",
"source": "mcts" | "sf",
"visit_dist": {move_idx: prob, ...}, # soft for mcts; one-hot for sf
"root_q": float, # STM in [-1, 1]
"chosen_move": int,
"game_id": int,
}
Generated by experiments/exp183_selfplay.py in https://github.com/avewright/transform
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