Dataset · Hugging Face

AAU-NLP/HiFi-KPI

Name: HiFi-KPI
Creator: AAU-NLP
Keywords: task_categories:token-classification, task_categories:text-classification, task_ids:named-entity-recognition, language:en, size_categories:1M<n<10M, arxiv:2502.15411, doi:10.57967/hf/4619, region:us, financial NLP, named entity recognition, sequence labeling, structured extraction, hierarchical taxonomy, XBRL

HiFi-KPI: Hierarchical Financial KPI Extraction Paper: HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings Dataset Summary HiFi-KPI is a large-scale dataset designed for financial numerical key performance indicator (KPI) extraction from earnings filings. It is derived from iXBRL filings mandated by the SEC, featuring hierarchical labels structured from the XBRL taxonomy. The dataset consists of ∼1.8M paragraphs and ∼5M entities, each linked… See the full description on the dataset page: https://huggingface.co/datasets/AAU-NLP/HiFi-KPI.

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Author / organization	AAU-NLP
Downloads	151 (as reported by Hugging Face)
Likes	4
Created	19 February 2025
Last updated at source	21 August 2026

financial NLPnamed entity recognitionsequence labelingstructured extractionhierarchical taxonomyXBRL

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