--- license: apache-2.0 dataset_info: - config_name: default features: - name: src dtype: string - name: tgt dtype: string - name: bleu dtype: float64 - name: tgt_index sequence: int64 - name: original_filename dtype: string - name: filename dtype: string - name: page_idx dtype: int64 - name: src_layout sequence: sequence: int64 - name: tgt_layout sequence: sequence: int64 splits: - name: dev num_bytes: 916523238 num_examples: 49994 - name: test num_bytes: 919351137 num_examples: 50009 - name: train num_bytes: 7346736959 num_examples: 399997 download_size: 1754136052 dataset_size: 9182611334 - config_name: dev features: - name: src dtype: string - name: tgt dtype: string - name: bleu dtype: float64 - name: tgt_index sequence: int64 - name: original_filename dtype: string - name: filename dtype: string - name: page_idx dtype: int64 - name: src_layout sequence: sequence: int64 - name: tgt_layout sequence: sequence: int64 splits: - name: train num_bytes: 916523238 num_examples: 49994 - name: dev num_bytes: 916523238 num_examples: 49994 download_size: 360926516 dataset_size: 1833046476 - config_name: test features: - name: src dtype: string - name: tgt dtype: string - name: bleu dtype: float64 - name: tgt_index sequence: int64 - name: original_filename dtype: string - name: filename dtype: string - name: page_idx dtype: int64 - name: src_layout sequence: sequence: int64 - name: tgt_layout sequence: sequence: int64 splits: - name: test num_bytes: 919351137 num_examples: 50009 download_size: 181145705 dataset_size: 919351137 configs: - config_name: default data_files: - split: dev path: data/dev-* - split: test path: data/test-* - split: train path: data/train-* - config_name: dev data_files: - split: train path: dev/train-* - split: dev path: dev/dev-* - config_name: test data_files: - split: test path: test/test-* --- # ReadingBank ReadingBank is a benchmark dataset for reading order detection built with weak supervision from WORD documents, which contains 500K document images with a wide range of document types as well as the corresponding reading order information. Our paper "[LayoutReader: Pre-training of Text and Layout for Reading Order Detection](https://arxiv.org/pdf/2108.11591)" has been accepted by EMNLP 2021. Refer to the official repo for more details: https://github.com/doc-analysis/ReadingBank