---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: words
    sequence: string
  - name: answers
    dtype: string
  - name: bboxes
    sequence:
      sequence: float64
  - name: answers_bboxes
    sequence:
      sequence: float64
  - name: questions
    dtype: string
  - name: image
    dtype: string
  splits:
  - name: validation
    num_bytes: 48446674074
    num_examples: 34159
  download_size: 10985782991
  dataset_size: 48446674074
license: mit
language:
- cs
tags:
- finance
---
# CIVQA EasyOCR Validation Dataset

The CIVQA (Czech Invoice Visual Question Answering) dataset was created with EasyOCR. This dataset contains only the validation split. The train part of the dataset can be found on this URL: https://huggingface.co/datasets/fimu-docproc-research/CIVQA_EasyOCR_Train 
The encoded validation dataset for the LayoutLM can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA_EasyOCR_LayoutLM_Validation

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.