SecureFinAI-Lab/Regulations_NER download history
SecureFinAI-Lab/Regulations_NER is a dataset on the Hugging Face Hub. In the last 30 days it was downloaded 6 times (2 in the last 7 days), and 412 times in total. It ranks #724,862 among datasets by monthly downloads.
Overview This question set is created to evaluate LLMs' ability for named entity recognition (NER) in financial regulatory texts. It is developed for a task at Regulations Challege @ COLING 2025. The objective is to accurately identify and classify entities, including organizations, legis
Open SecureFinAI-Lab/Regulations_NER on Hugging Face
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