Improve metadata and add prominent links to HF paper and GitHub repository

#2
by nielsr HF Staff - opened

This PR enhances the ReceiptSense dataset card by:

  • Updating task_categories in the metadata to more accurately reflect the dataset's supported tasks: object-detection, image-to-text (for OCR), image-text-to-text (for Receipt Question Answering), and visual-document-retrieval (for Information Extraction). The less relevant text-classification and zero-shot-classification categories were removed.
  • Adding relevant tags to improve dataset discoverability, such as receipt-understanding, ocr, information-extraction, visual-question-answering, document-understanding, multilingual, and arabic.
  • Improving the links section by adding a prominent badge for the Hugging Face paper page (https://huggingface.co/papers/2406.04493) and a badge for the GitHub repository (https://github.com/Update-For-Integrated-Business-AI/CORU), while retaining the existing arXiv link as instructed.
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