{"url":"/dataset/financial-language-understanding-evaluation","name":"Financial Language Understanding Evaluation","full_name":null,"description_markdown":"**Financial Language Understanding Evaluation** is an open-source comprehensive suite of benchmarks for the financial domain. It contains benchmarks across 5 NLP tasks in financial domain as well as common benchmarks used in the previous research. The tasks are financial sentiment analysis, news headline classification, named entity recognition, structure boundary detection and question answering.","description_withheld":null,"homepage":"https://github.com/SALT-NLP/FLANG","introduced_date":"2022-10-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/when-flue-meets-flang-benchmarks-and-large","title":"WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain","first_author":"Raj Sanjay Shah","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/SALT-NLP/FLANG/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Named Entity Recognition (NER)","url":"/task/named-entity-recognition-ner","datasets_with_task":"/datasets/task/named-entity-recognition-ner"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Financial Language Understanding Evaluation"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}