CIVQA-TesseractOCR / README.md
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---
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: train
num_bytes: 1838637418
num_examples: 160645
- name: validation
num_bytes: 177768370
num_examples: 16220
download_size: 6274981
dataset_size: 2016405788
license: mit
language:
- cs
tags:
- finance
---
# CIVQA TesseractOCR Dataset
The Czech Invoice Visual Question Answering dataset was created with Tesseract OCR, and it is suitable for adding labels for the chosen model.
The encoded dataset for LayoutLM model can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR-LayoutLM
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.