Table of contents

🏷️ Dataset: data-v2

data-v2 contains labeled training and test data with and without “ambiguous” tags

• To label the dataset, I used these heuristics
• Train: 72 / 626 (12%) ambiguous labels
• Test: 24 / 347 (7%) ambiguous labels
• GitHub; Kaggle; HuggingFace
• Model layoutlmv3-lora-invoice-number was finetuned based on this dataset

🏷️ Dataset: data-v1

data-v1 contains labeled ONLY training data with and without “ambiguous” tags

• To label the dataset, I used these heuristics
• Train: 72 / 626 (12%) ambiguous labels
• GitHub

Overview and Structure

Original dataset on Kaggle