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