Lc0 Training Games DBs
This is the repository I keep of Lc0 training game PGNs. These are not the highest quality games, but there sure are a lot of them. Each PGN should have somewhere in the neighborhood of one to two million games. There's one PGN per day, for a test run that started in 2022. But T80 is just one of maybe ten different test runs. There are probably a billion games in that open directory.
https://www.mediafire.com/folder/q5yrdd9q47jzi/Lc0+Training+Games
CERL 240820-1
Rank Name Elo +/- Games Score Draw
1 Stockfish 1.8 100 7 5000 64.0% 42.6%
2 Stockfish 1.7.1 90 7 5000 62.6% 42.8%
3 Stockfish 1.7 81 7 5000 61.4% 43.5%
4 Stockfish 1.6.3 4 7 5000 50.6% 42.2%
5 Stockfish 1.5 -136 8 5000 31.3% 36.6%
6 Stockfish 1.4 -148 8 5000 29.9% 34.3%
Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16
CuteChess 1.3.1 CLI
10s+0.1 • No book • No adjudication • No tablebases • Ponder off • 5 concurrent
Opening suite: named-openings.pgn to whichever ply is necessary
All 15,000 games
CERL 240819-1
Rank Name Elo +/- Games Score Draw
1 4ku 4.0 101 8 5000 64.1% 26.6%
2 Stockfish 1.5 11 8 5000 51.6% 34.9%
3 Stockfish 1.4 6 8 5000 50.9% 33.9%
4 Stockfish 1.3 -27 8 5000 46.2% 34.2%
5 Stockfish 1.3.1 -30 8 5000 45.6% 36.1%
6 Stockfish 1.2 -60 8 5000 41.5% 30.8%
Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16
CuteChess 1.3.1 CLI
10s+0.1 • No book • No adjudication • No tablebases • Ponder off • 5 concurrent
Opening suite: named-openings.pgn to whichever ply is necessary
All 15,000 games
CERL 240818-1
Rank Name Elo +/- Games Score Draw
1 4ku 5.0 138 9 5000 68.9% 24.7%
2 4ku 4.0 127 9 5000 67.6% 25.9%
3 Stockfish 1.2 -30 8 5000 45.7% 31.4%
4 Stockfish 1.1 -54 8 5000 42.3% 30.5%
5 Stockfish 1.01 -60 8 5000 41.4% 30.1%
6 Stockfish 1.0 -114 8 5000 34.2% 30.7%
Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16
CuteChess 1.3.1 CLI
10s+0.1 • No book • No adjudication • No tablebases • Ponder off • 5 concurrent
Opening suite: named-openings.pgn to whichever ply is necessary
All 15,000 games
CERL 240815-1
Rank Name Elo +/- Games Score Draw
1 4ku 5.0 182 9 5000 74.1% 29.8%
2 4ku 4.0 180 9 5000 73.8% 30.0%
3 4ku 3.1 25 8 5000 53.6% 30.8%
4 4ku 3.0 17 8 5000 52.5% 30.3%
5 4ku 2.0 -134 9 5000 31.7% 24.9%
6 4ku 1.1 -310 11 5000 14.4% 16.2%
Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16
CuteChess 1.3.1 CLI
10s+0.1 • No book • No adjudication • No tablebases • Ponder off • 5 concurrent
Opening suite: named-openings.pgn to whichever ply is necessary
All 15,000 games
Online Strong Games
Strong games are defined by ChessBase as no less than ten moves, with players at least 2300. To filter from either the Chesscom Elite Database files, or from the Lichess Open Database files, I use the following command in Windows PowerShell:
-t"tags.txt" -R"roster.txt" --xroster --minmoves 10 --maxmoves 250 --fixresulttags --fixtagstrings --nosetuptags -C -V -N -D -e --plycount -w9999
This takes the form of: .\pgn-extract INPUT INCLUDED_TEXT -o OUTPUT
For example:
.\pgn-extract original.pgn -t"tags.txt" -R"roster.txt" --xroster --minmoves 10 --maxmoves 250 --fixresulttags --fixtagstrings --nosetuptags -C -V -N -D -e --plycount -w9999 -o processed.pgn
This line takes into account two other text files: tags.txt and roster.txt. This is the full contents of tag.txt:
WhiteElo >= "2300"
BlackElo >= "2300"
TimeControl >= "180"
And here are the full contents of the roster.txt file:
Event
Site
Date
Round
White
Black
Result
WhiteElo
BlackElo
ECO
Opening
Variation
EventCountry
EventDate
SetUp
FEN
Variant
TimeControl
Beauty
PlyCount
The online strong games files can be found in two directories in the Chess Nerd PGN Repository:
https://chessnerd.net/pgn/chesscom/cc-strong/
https://chessnerd.net/pgn/lichess/lichess-strong/
PGN Mentor Archive
All the games from PGN Mentor combined.
https://www.mediafire.com/file_premium/vu77teoqbuhg4jc/pgn-mentor-archive.7z/file
Complete Named Openings
Here is the complete list of named openings (obtained via Lichess on GitHub) in different formats:
https://www.mediafire.com/file_premium/soqtsohr66rq8wf/openings.zip/file
TSV: This contains the ECO code, the name, the moves in both SAN and UCI, and the FEN.
PGN: This contains a full PGN for each opening. There is no FEN, as that describes the final position, and there is no UCI. Because it’s not in the list, the Double Bongcloud happens to have been added to the PGN only. If you need to use this as an opening suite, all you need do is remove Fool’s Mate, which can be found by searching on the hash symbol (#).
PDF: Made from a DOCX which was made from an HTML file. This includes ECO code, name, moves in SAN and UCI, FEN, and a rendered board of the FEN.
Total size of the ZIP is about 120 MB, mostly due to the PDF.
Playchess Monthly Archive
2023-01 to 2024-07 at the moment
https://www.mediafire.com/folder/olamcyjf899ra/Playchess+Games
Public TWIC DB
Every PGN publicly available from The Week In Chess, concatenated. Updated 2024-08-15.
https://www.mediafire.com/file_premium/x0q2tgkors0bcvt/twic-public-240815.zip/file