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  - cs
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  - document question answering
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  - cs
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  - document question answering
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+ ---
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+ # LayoutXLM Model Fine-tuned with CIVQA and DVQA dataset
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+ This is a fine-tuned version of the [LayoutXLM model](https://huggingface.co/microsoft/layoutxlm-base), which was trained on Czech Invoice Visual Question Answering (CIVQA) dataset containing invoices in the Czech language as well as on the Data Visualizations via Question Answering ([DVQA] (https://paperswithcode.com/dataset/dvqa)) dataset.
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+ This model enables Document Visual Question Answering on Czech invoices with the use of the existing DVQA dataset.
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+ Regarding the Czech invoices, we focused on 10 different entities, which are crucial for processing the invoices.
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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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+ - Total amount
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+ - Invoice date
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+ - Name of supplier
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+ - DIC
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+ - QR code