metadata

license: apache-2.0
tags:
  - chess
  - HCS
  - handwriting
  - scoresheets
  - forms
size_categories:
  - n<1K
task_categories:
  - image-to-text
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
    - name: labels
      sequence: string
  splits:
    - name: train
      num_bytes: 359944485
      num_examples: 206
  download_size: 359895992
  dataset_size: 359944485

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 Chesscorner/HCS_Dataset-csv, Chesscorner/HCS_pictures, here and here

Datasets

There are 2 versions of this dataset

unprocessed_hcs Dataset where you are right now
processed_hcs Dataset where the extracted move boxes are provided which can be found here

Description

The Handwritten Chess Scoresheet Datase (HCS) contains a set of single and double paged chess scoresheet images with ground truth labels. The unprocessed images are a list of the scoresheets the corresponding labels. The labels are a list of strings of the chess moves shown on the scoresheet in the order of the right order as on the scoresheet.

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)