1800-1900
lichess-1800-1900
Lichess 1800-1900 Elo Games
Filtered subset of the Lichess open database where
both players are rated 1800-1900.
Usage
from datasets import load_dataset
ds = load_dataset("thomas-schweich/lichess-1800-1900")
game = ds["train"][0]
print(game["pgn"]) # move text
print(game["white_elo"]) # 1847
print(game["headers"]) # full PGN headers (for parser compatibility)
Schema
Column
Type
Description
pgn
string
Move text (SAN)
headers
string
Full… See the full description on the dataset page: https://huggingface.co/datasets/thomas-schweich/lichess-1800-1900.ICDAR2017-filtered-1800-1900-6This dataset is a filtered version of the ICDAR2017 Competition on Handwritten Text Recognition, focusing on monograph texts written between 1800 and 1900. It consists of a total of 957 documents, divided into training, validation, and testing sets, and is designed for post-correction of OCR (Optical Character Recognition) text.
Training Set: 2.63k phrases
Validation Set: 336
Test Set: 301
Purpose
The dataset aims to improve the accuracy of digitized texts by providing a… See the full description on the dataset page: https://huggingface.co/datasets/m-biriuchinskii/ICDAR2017-filtered-1800-1900-6.ICDAR2017-filtered-1800-1900This dataset is a filtered version of the ICDAR2017 Competition on Handwritten Text Recognition, focusing on monograph texts written between 1800 and 1900. It consists of a total of 957 documents, divided into training, validation, and testing sets, and is designed for post-correction of OCR (Optical Character Recognition) text.
Total Documents: 957
Training Set: 765
Validation Set: 95
Test Set: 97
Purpose
The dataset aims to improve the accuracy of digitized texts by… See the full description on the dataset page: https://huggingface.co/datasets/m-biriuchinskii/ICDAR2017-filtered-1800-1900.R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-16-path-3-n-4000-s-1800-e-1900R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-32-path-3-n-8000-s-1800-e-1900R1-1.5b-Par-Temp-0.7-Ans-40-16384-s-42-deg-64-path-3-n-16000-s-1800-e-1900