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6
Bd6
Bxc4
Ng4
Nb5
Nf6
h3
a6
Rc1
cxd6
Nxd6
b5
Re1
d5
Bd3
Rfc8
Ne5
Bxc6
Nxc6
Ra7
f3
Nf6
d4
Rac7
e4
Nd7
e5
Qe8
Bb4
Rb7
Bd7
Nb6
Qd2
Ra7
b3
Qd8
Bc5
a5
Rc3
Rca8
Rec1
Qxb6
Bxb6
e6
c4
Qxd4+
Rxc6
h6
Kh1
d5
Nc3
Bb4
Nf3
O-O
Bd2
Nc6
e3
Bd7
Bd3
Qe7
O-O
dxc4
a3
Bd6
Bxe4
Ng4
Nb5
Nf6
h3
a6
Rc1
cxd6
Nxd6
b5
Re1
d5
Bd3
Rfc8
Nc5
Bxe6
Nxc6
Ra7
f3
Nf6
d4
Rac7
e4
Nd2
e5
de8
Bb4
Rb7
Bd6
Nb6
Qd2
Ra7
b3
Qd8
Bc5
a5
Rc3
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Disclaimer

This is not data that I created. It originally came from the Paper Digitization of Handwritten Chess Scoresheets with a BiLSTM Network

You can also find the dataset here and here

Datasets

There are 2 versions of this dataset

  • processed_hcs Dataset where you are right now
  • unprocessed_hcs where the whole scoresheet can be seen here

Desciption

The Handwritten Chess Scoresheet Datase (HCS) contains a set of single and double paged chess scoresheet images with ground truth labels. The processed images are a list of the extracted move boxes with the corresponding labels. The labels are strings of the chess moves shown in the move boxes.

Usage

In Python script

import datasets
unprocessed_hcs = datasets.load_dataset("Benjaminkost/unprocessed_hcs")

# Show first image
first_image = unprocessed_hcs["train"][0]["image"]
first_label = unprocessed_hcs["train"][0]["labels"]

first_image.show()
print(first_label)
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