--- dataset_info: features: - name: input_ids sequence: int32 - name: bbox dtype: array2_d: shape: - 512 - 4 dtype: int32 - name: attention_mask sequence: int32 - name: image dtype: array3_d: shape: - 3 - 224 - 224 dtype: int32 - name: start_positions dtype: int32 - name: end_positions dtype: int32 - name: questions dtype: string - name: answers dtype: string splits: - name: train num_bytes: 89021492745 num_examples: 143765 download_size: 913954164 dataset_size: 89021492745 license: mit language: - cs tags: - finance --- # CIVQA EasyOCR LayoutLM Train Dataset The CIVQA (Czech Invoice Visual Question Answering) dataset was created with EasyOCR, and it is encoded for LayoutLM models. This dataset contains only the train split. The validation part of the dataset can be found on this URL: https://huggingface.co/datasets/fimu-docproc-research/CIVQA_EasyOCR_LayoutLM_Validation The pre-encoded train dataset can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA_EasyOCR_Train All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices. - Invoice number - Variable symbol - Specific symbol - Constant symbol - Bank code - Account number - ICO - Total amount - Invoice date - Due date - Name of supplier - IBAN - DIC - QR code - Supplier's address The invoices included in this dataset were gathered from the internet. We understand that privacy is of utmost importance. Therefore, we sincerely apologise for any inconvenience caused by including your identifiable information in this dataset. If you have identified your data in this dataset and wish to have it removed from research purposes, we request you kindly to access the following URL: https://forms.gle/tUVJKoB22oeTncUD6 We profoundly appreciate your cooperation and understanding in this matter.