README.md

---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: words
    sequence: string
  - name: answers
    dtype: string
  - name: bboxes
    sequence:
      sequence: float32
  - name: answers_bboxes
    sequence:
      sequence: float32
  - name: questions
    dtype: string
  - name: image
    dtype: string
  splits:
  - name: train
    num_bytes: 963207990
    num_examples: 143765
  download_size: 41076905
  dataset_size: 963207990
license: mit
language:
- cs
tags:
- finance
---
# CIVQA EasyOCR Train Dataset

The CIVQA (Czech Invoice Visual Question Answering) dataset was created with EasyOCR. 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_Validation 
The encoded train dataset for the LayoutLM can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA_EasyOCR_LayoutLM_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.