Dataset Card for Financial-NER-NLP
Dataset Summary
The Financial-NER-NLP Dataset is a derivative of the FiNER-139 dataset, which consists of 1.1 million sentences annotated with 139 XBRL tags. This new dataset transforms the original structured data into natural language prompts suitable for training language models. The dataset is designed to enhance models’ abilities in tasks such as named entity recognition (NER), summarization, and information extraction in the financial domain.
The… See the full description on the dataset page:
https://huggingface.co/datasets/Josephgflowers/Financial-NER-NLP.