| # <a href="https://arxiv.org/abs/2309.09800">AMuRD</a>: Annotated Multilingual Receipts Dataset for Cross-lingual Key Information Extraction and Classification | |
| by | |
| Abdelrahman Abdallah, | |
| Mahmoud Abdalla, | |
| Mohamed Elkasaby, | |
| Yasser Elbendary, | |
| Adam Jatowt | |
|  | |
| ## 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)). | |