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--- |
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license: apache-2.0 |
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task_categories: |
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- image-to-text |
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tags: |
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- chess |
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- HCS |
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- handwriting |
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- scoresheets |
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- forms |
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size_categories: |
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- 10K<n<100K |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 517848025.198 |
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num_examples: 13731 |
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download_size: 642552652 |
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dataset_size: 517848025.198 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Disclaimer |
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This is not data that I created. It originally came from the Paper [_Digitization of Handwritten Chess Scoresheets with a BiLSTM Network_](https://www.mdpi.com/1477430) |
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You can also find the dataset [here](https://sites.google.com/view/chess-scoresheet-dataset) and [here](https://tc11.cvc.uab.es/datasets/HCS_1) |
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# Datasets |
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There are 2 versions of this dataset |
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- processed_hcs Dataset where you are right now |
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- unprocessed_hcs where the whole scoresheet can be seen [here](https://huggingface.co/datasets/BenjaminKost/unprocessed_hcs) |
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# Desciption |
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The Handwritten Chess Scoresheet Datase (HCS) contains a set of single and double paged chess scoresheet images with ground truth labels. |
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The processed images are a list of the extracted move boxes with the corresponding labels. |
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The labels are strings of the chess moves shown in the move boxes. |
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# Usage |
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## In Python script |
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```python |
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import datasets |
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unprocessed_hcs = datasets.load_dataset("Benjaminkost/processed_hcs") |
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# Show first image |
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first_image = unprocessed_hcs["train"][0]["image"] |
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first_label = unprocessed_hcs["train"][0]["labels"] |
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first_image.show() |
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print(first_label) |
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``` |
