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avewright
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chess-master-v1

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Tags:
chess
stockfish
soft-labels
tablebase
puzzles
multipv
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metadata 
license: mit
pretty_name: Chess master v1
task_categories:
  - other
tags:
  - chess
  - stockfish
  - soft-labels
  - tablebase
  - puzzles
  - multipv
configs:
  - config_name: positions
    data_files: positions/*.parquet
  - config_name: annotations
    data_files: annotations/*.parquet
  - config_name: membership
    data_files: membership/*.parquet
  - config_name: quarantine
    data_files: quarantine/*.parquet

avewright/chess-master-v1

Linked master chess tables: positions, annotations, and membership. One position can keep SF19, Lichess MultiPV, a puzzle line, Syzygy, and a model mistake at the same time. Flat training mixes are recipe exports, not the source of truth.

Join on position_id. Absent metadata is null / unknown, never coerced to 0 or "verified".

Load 

from datasets import load_dataset
positions = load_dataset("avewright/chess-master-v1", "positions", split="train")
annotations = load_dataset("avewright/chess-master-v1", "annotations", split="train")
membership = load_dataset("avewright/chess-master-v1", "membership", split="train")

Counts

Table Rows
Mix positions / annotations / membership 1,004,000 each
Unique position_id 1,004,293
Train ∩ eval 0
Value-eligible 451,064 (SF19 only)
Depth sentinels 72,565
Disagreeing best-move positions 66

See quality_report.json and SCHEMA.md.

Label contracts

  • SF19 CP/mate/WDL are White-absolute. Lichess perspective is unverified.
  • soft_probs are probabilities, not logits. The transform is recorded.
  • Puzzle FEN is before the opponent setup move. Keep the full line. No invented CP/WDL.
  • Syzygy DTZ is not mate. Value stays masked until conversion is verified.
  • Off-PV model moves have unknown regret, not an assumed penalty.
  • Recipes must not silently relax quality gates.

Pinned sources

Source Revision License
avewright/chess-soft-sf19 68cef6c9ba62c62f904f25305f1a7489dab825e0 MIT
avewright/chess-soft-multipv-lichess 291acea2a2ce6fc2aba4b289110d1920cf969afe MIT
avewright/chess-soft-syzygy 3889985c482837aa3082e182d8f123e005e2c0d4 MIT
Lichess/chess-puzzles 479ea9bc9f681385f5adb23fa27a96c2dc8ae599 CC0-1.0
avewright/chess-soft-100m-swa-mistakes 69b75e12ab2867c8b9a63d385065dfe646cf86e1 MIT

Baseline recipe: recipes/pilot_45_35_15_5.json (45% SF19 / 35% Lichess / 15% puzzles / 5% Syzygy). That mix is a baseline, not an optimum.

This pack is not a claim that eval rows are unseen by older checkpoints.