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