| # Completed Dataset Results |
|
|
| ## Artifacts |
|
|
| - Dataset: `data/ccrl-high-variance-1p5m.vpd` |
| - Training dataset: `data/ccrl-high-variance-1p5m.parquet/` |
| - Parquet manifest: `data/ccrl-high-variance-1p5m.parquet/_manifest.json` |
| - Variance report: `data/variance-report.json` |
| - Source archive: `source/ccrl-pgn.tar.bz2` |
| - Extractor and reader: `vpd.py` |
| - Format specification: `FORMAT.md` |
|
|
| ## Provenance |
|
|
| The source is Leela Chess Zero's published CCRL standard dataset: 2.5 million |
| CCRL 40/40 and 40/4 engine games with an 80/20 train/test split. Extraction |
| used 910,462 source games and completed with zero PGN parse errors. |
|
|
| The final VPD1 database contains 1,509,201 unique normalized FEN positions and |
| is 438,558,720 bytes. |
|
|
| The Parquet derivative contains the same 1,509,201 rows in six Hive-style |
| `source_split`/`phase` partitions. It is 52 MiB on disk, uses Zstandard level 6 |
| compression, and has 26 row groups capped at 65,536 rows. |
|
|
| ## Variance result |
|
|
| Overall result: **HIGH VARIANCE — PASS** |
|
|
| Every declared threshold in `data/variance-report.json` passed. |
|
|
| | Dimension | Result | |
| | --- | ---: | |
| | Opening | 234,201 (15.52%) | |
| | Middlegame | 900,000 (59.63%) | |
| | Endgame | 375,000 (24.85%) | |
| | Normalized phase entropy | 0.858704 | |
| | White wins | 570,602 (37.81%) | |
| | Draws | 481,726 (31.92%) | |
| | Black wins | 456,873 (30.27%) | |
| | White to move | 758,019 (50.23%) | |
| | Black to move | 751,182 (49.77%) | |
| | Positions in check | 103,519 (6.86%) | |
| | Positions with castling rights | 289,814 (19.20%) | |
| | Positions without castling rights | 1,219,387 (80.80%) | |
| | Material imbalance of at least 3 | 234,018 (15.51%) | |
|
|
| Legal move counts span 0–87, with p10 12, median 33, p90 44, and standard |
| deviation 12.064. Piece counts span 2–32, with p10 10, median 21, p90 30, and |
| standard deviation 7.5146. |
|
|
| ## Validation |
|
|
| - SQLite `PRAGMA integrity_check`: `ok` |
| - Random FEN validation: 1,000/1,000 valid |
| - Indexed random retrieval: 1,000 queries in 4.404 ms |
| - Mean in-process lookup latency: 0.004404 ms per board |
| - Parquet row-count validation: 1,509,201/1,509,201 |
| - Parquet partition-count validation: 6/6 exact matches |
| - Parquet FEN validation sample: 6,000/6,000 valid |
| - Parquet file checksums: 6/6 match `_manifest.json` |
| - Parquet compression audit: all 26 row groups use Zstandard |
| - Source archive SHA-256: |
| `5f4d7ec86a99ba56fd3e46b1eb35f3ae109890bc77fecc3e605a6174ea717e76` |
| - Dataset SHA-256: |
| `2f3af2973d1e4cb2d7e0d54e7e7a0f12def44d982915df0c9cab1735f6b138cc` |
| - Report SHA-256: |
| `759699d7bc704fd265524a6df320c1a0c925f902e29a60b83366d987d3ab507e` |
|
|
| ## Retrieve one board |
|
|
| ```bash |
| cd /Users/pawit/Documents/vexilon/tmp/vex-position-dataset |
| PYTHONDONTWRITEBYTECODE=1 .venv/bin/python vpd.py sample \ |
| data/ccrl-high-variance-1p5m.vpd |
| ``` |
|
|
| Example output: |
|
|
| ```json |
| {"id":257499,"fen":"8/4p3/p6p/1p3k1K/1n3P2/1P4P1/r3RN2/8 w - - 0 1","phase":"endgame","result":"1-0"} |
| ``` |
|
|
| The source `result` is provenance metadata. It is not the depth-zero static WDL |
| label; lc0 can add that label in a subsequent pass. |
|
|
