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<p align="left">
  <img src="bizbench_pyramid.png">
</p>

# BizBench: A Quantitative Reasoning Benchmark for Business and Finance

Public dataset for [BizBench](https://arxiv.org/abs/2311.06602).

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 intermediate values, and understanding financial concepts and formulas needed to calculate complex solutions. 
Collectively, these tasks evaluate a model's financial background knowledge, ability to parse financial documents, and capacity to solve problems with code. 
We conducted an in-depth evaluation of open-source and commercial LLMs, comparing and contrasting the behavior of code-focused and language-focused models. 
We demonstrate that the current bottleneck in performance is due to LLMs' limited business and financial understanding, highlighting the value of a challenging benchmark for quantitative reasoning within this domain.

We have also develop a heavily curated leaderboard with a held-out test set open to submission: [https://benchmarks.kensho.com/](https://benchmarks.kensho.com/). This set was manually curated by financial professionals and further cleaned by hand in order to ensure the highest quality. A sample pipeline for using this dataset can be found at [https://github.com/kensho-technologies/benchmarks-pipeline](https://github.com/kensho-technologies/benchmarks-pipeline).

## Dataset Statistics

| Dataset | Train/Few Shot Data | Test Data |
| --- | --- | --- |
| **Program Synthesis** | | |
| FinCode | 7 | 47 |
| CodeFinQA | 4668 | 795 |
| CodeTATQA | 2856 | 2000 | 
| **Quantity Extraction** | | |
| ConvFinQA (E) |  | 629 |
| TAT-QA (E) |  | 120  |
| SEC-Num | 6846 | 2000 | 
| **Domain Knowledge** | | |
| FinKnow |  | 744 |
| ForumlaEval |  | 50 |