|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: black_player_name |
|
|
dtype: string |
|
|
- name: white_player_name |
|
|
dtype: string |
|
|
- name: winner |
|
|
dtype: string |
|
|
- name: black_player_elo |
|
|
dtype: float64 |
|
|
- name: white_player_elo |
|
|
dtype: float64 |
|
|
- name: winner_elo |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 114775572 |
|
|
num_examples: 93970 |
|
|
download_size: 80385458 |
|
|
dataset_size: 114775572 |
|
|
--- |
|
|
# go_pgn_string_v2 |
|
|
|
|
|
It is parsed from https://dl.fbaipublicfiles.com/elfopengo/analysis/data/gogod_commentary_sgfs.gzip. |
|
|
It contains professional game of Go ever played (~100k games drawn from GoGoD), evaluated by Meta AI's [ELF OpenGo](https://ai.meta.com/research/publications/elf-opengo-an-analysis-and-open-reimplementation-of-alpha-zero/). |
|
|
The leftmost variation of the game tree is taken in SGF format and translate it into PGN like format. |
|
|
Due to autoregressive nature of decoder, a special token '>' is used to denote the move by the winner of the game. |
|
|
|
|
|
|
