Dataset · Hugging Face

bevaya/MultiHiertt

Name: MultiHiertt
Creator: bevaya
License: mit
Keywords: task_categories:question-answering, task_categories:table-question-answering, language:en, license:mit, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, financial, numerical-reasoning

MultiHiertt A repackaging of the MultiHiertt dataset (Zhao et al., ACL 2022) for numerical reasoning over documents containing multiple hierarchical financial tables. MultiHiertt is built on FinTabNet (CDLA-Permissive-1.0), extracting 4,791 multi-page documents from S&P 500 annual reports (1999-2019). Each document contains 2-6 hierarchical HTML tables and surrounding text. Questions require reasoning across multiple tables and/or text passages, with answers derived via… See the full description on the dataset page: https://huggingface.co/datasets/bevaya/MultiHiertt.

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Author / organization	bevaya
License (as declared)	mit
Downloads	1.8K (as reported by Hugging Face)
Likes	2
Created	14 May 2026
Last updated at source	14 May 2026

financialnumerical-reasoningmulti-tablehierarchical-tablesearnings-reports

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