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README.md
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- cs
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- Document Question Answering
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- cs
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tags:
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- Document Question Answering
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---
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# LayoutLMv3 Model Fine-tuned with CIVQA (Tesseract) dataset
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This is a fine-tuned version of the [LayoutLMv3 model](https://huggingface.co/microsoft/layoutlmv3-base), which was trained on Czech Invoice Visual Question Answering (CIVQA) datasets containing invoices in the Czech language.
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This model enables Document Visual Question Answering on Czech invoices.
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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.
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- Invoice number
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- Variable symbol
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- Specific symbol
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- Constant symbol
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- Bank code
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- Account number
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- ICO
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- Total amount
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- Invoice date
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- Due date
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- Name of supplier
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- IBAN
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- DIC
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- QR code
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- Supplier's address
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