Aggregated US Bank Dataset

These two .csv files contain the US bank dataset for FETILDA, containing sections of 10-K reports submitted by US banks from 2006 to 2016. They are directly used by the Python scripts for training, validation, and testing. There are two files, one for Item 1A of the 10-K reports, and the other for Item 7/7A.

Related Organizations

Rensselaer Polytechnic Institute
United States

Keywords

long text documents, machine learning, financial documents, language models, text mining, information extraction, natural language processing, 10-K reports, text regression

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