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| LeelaZero match-play games ranked with breakwa11 http://www.lifein19x19.com/viewtopic.php?f=18&t=18088 |
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| Author: | Babagogo [ Mon Mar 08, 2021 9:20 am ] |
| Post subject: | LeelaZero match-play games ranked with breakwa11 |
Hello everybody. Someone else has probably already done this, but I thought I might make it more publicly accessible. I took LeelaZero's match play games and ordered them by rank according to breakwa11's AI ratings (https://github.com/breakwa11/GoAIRatings). I found selfplays to be a bit too erratic as LeelaZero tries out new moves, playing on the first line in openings even at strong networks. Here's the link: https://drive.google.com/file/d/1xY6u5s6C4AeNFBDPNRXMG_iV0UBNG3nM/view?usp=sharing (850MB). I just extracted dan-level games, which add up to 600,000+ sgfs. Breakwa11 doesn't use a professional category so the amateur dans merge into professional level at around 6D (see the bottom of the github README). The way I cut off the dan points in my collection: the network ranks break where the first occurrence of each rank appears on the ratings_names.md file, except when I ran over the early 14D on breakwa11's list. I also prepared them to be read by q5go's pattern search. To load them into the program, go to settings then import/export and click on the "Add subdirs" button, which opens your file explorer. Navigate to the location where you extracted your zip file and select the #D folders that you want to analyse. q5go will load the sub directories automatically. The sub directories are named after the first 8 characters of the network hashes (unique identifiers). The lower dans still make mistakes with self-atari and throw-ins and less-than-ideal endgames, even in obvious instances. But I think it is useful to see how LeelaZero thought when it was still at human level play; I wouldn't load them though if you want only supreme games to study. I want to give credit to the following resources: <https://github.com/breakwa11/GoAIRatings> <https://leela.online-go.com/zero/> <https://github.com/nanzi/leelazero_go_selfplay_game_datasets> |
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