kensho/FFDomainKnowledge

21 downloads in 30 days3 likesLast modified 22 Jul 2025View on Hugging Face

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 6e8f3ee
Licence files: No licence file at the top level of the repositoryEvidence: file list at 6e8f3ee
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@inproceedings{krumdick-etal-2024-bizbench,
    title = "{B}iz{B}ench: A Quantitative Reasoning Benchmark for Business and Finance",
    author = "Krumdick, Michael  and
      Koncel-Kedziorski, Rik  and
      Lai, Viet Dac  and
      Reddy, Varshini  and
      Lovering, Charles  and
      Tanner, Chris",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.acl-long.452/",
    doi = "10.18653/v1/2024.acl-long.452",
    pages = "8309--8332",
    abstract = "Answering questions within business and finance requires reasoning, precision, and a wide-breadth of technical knowledge. Together, these requirements make this domain difficult for large language models (LLMs). We introduce BizBench, a benchmark for evaluating models' ability to reason about realistic financial problems. BizBench comprises eight quantitative reasoning tasks, focusing on question-answering (QA) over financial data via program synthesis. We include three financially-themed code-generation tasks from newly collected and augmented QA data. Additionally, we isolate the reasoning capabilities required for financial QA: reading comprehension of financial text and tables for extracting in

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "kensho/FFDomainKnowledge" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0