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- license: llama2
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+ # <a href="https://arxiv.org/abs/2309.09800">AMuRD</a>: Annotated Multilingual Receipts Dataset for Cross-lingual Key Information Extraction and Classification
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+
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+ by
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+ Abdelrahman Abdallah,
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+ Mahmoud Abdalla,
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+ Mohamed Elkasaby,
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+ Yasser Elbendary,
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+ Adam Jatowt
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+ ![](images/model.png)
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+ ## Abstract
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+
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+ > Key information extraction involves recognizing and extracting text from scanned receipts,
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+ enabling retrieval of essential content, and organizing it into structured documents.
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+ This paper presents a novel multilingual dataset for receipt extraction, addressing key challenges in information extraction and item classification.
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+ The dataset comprises $47,720$ samples, including annotations for item names, attributes like (price, brand, etc.), and classification into $44$ product categories.
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+ We introduce the InstructLLaMA approach, achieving an F1 score of $0.76$ and an accuracy of $0.68$ for key information extraction and item classification.
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+
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+
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+ ## Demo for our Instruct LLama
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+
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+ Explore our Instruct LLama system through our live demo:
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+
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+ [**Demo for our Instruct LLama**](http://18.188.209.98:5052/)
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+
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+
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+ ## Examples
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+
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+ | Example | Input | Class | Brand | Weight | Number of units | Size of units | Price | T.Price | Pack | Unit |
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+ | ------- | ------------------------------------ | ---------------------- | -------------| --------- | ---------------- | --------------- | ------- | ------- | ------ | ----- |
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+ | Example 1| `40.99 20.99 2 chunks sunshine` | Tins, Jars & Packets | sunshine | No Weight | 2 | No Size of units| 20.99 | 40.99 | علبة | No Unit |
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+ | Example 2| `برسيل اتوماتيك جل روز 2.6` | Cleaning Supplies | برسيل | 2.6ل | 1 | No Size of units| No Price| No T.Price | عبوة | ل |
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+ | Example 3| `regina Pasta penne 400g` | Rice, Pasta & Pulses | regina | 400g | 1 | No Size of units| No Price| No T.Price | كيس | g |
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+ | Example 4| `10.00 400g Penne Pasta ElMaleka` | Rice, Pasta & Pulses | ElMaleka | 400g | 1 | No Size of units| 10 | 10 | كيس | g |
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+
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+
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+ ## Getting the code
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+
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+ To get started with the code and utilize the AMuRD dataset for your research or projects, you can clone this repository:
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+
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+ ```bash
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+ git clone https://github.com/yourusername/AMuRD.git
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+ ```
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+
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+
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+
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+
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+ ## Dependencies
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+
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+ ## Reproducing the results
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+
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+
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+
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+ ## Citation
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+ Please consider to cite our paper:
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+ ```
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+ @misc{abdallah2023amurd,
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+ title={AMuRD: Annotated Multilingual Receipts Dataset for Cross-lingual Key Information Extraction and Classification},
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+ author={Abdelrahman Abdallah and Mahmoud Abdalla and Mohamed Elkasaby and Yasser Elbendary and Adam Jatowt},
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+ year={2023},
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+ eprint={2309.09800},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Note: The AMuRD Dataset can only be used for non-commercial research purposes.
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+ For researchers who want to use the AMuRD database, please first fill
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+ in this [Application Form](Application_Form/Application_Form_for_AMuRD.doc)
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+ and send it via email to us ([m.abdallah@discoapp.ai](mailto:m.abdallah@discoapp.ai), [Yelbendary@discoapp.ai](mailto:Yelbendary@discoapp.ai), [abdoelsayed2016@gmail.com](mailto:abdoelsayed2016@gmail.com)).
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