Update README.md

README.md

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-  <img src="bizbench_pyramid.png" width=50%/>
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 # BizBench: A Quantitative Reasoning Benchmark for Business and Finance
 
 Public dataset for [BizBench](https://arxiv.org/abs/2311.06602).
 
-For the curated leaderboard, see: [https://benchmarks.kensho.com/](https://benchmarks.kensho.com/)
+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).
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+## Dataset Statistics
 
 | Dataset | Train/Few Shot Data | Test Data |
 | --- | --- | --- |
 | **Program Synthesis** | | |
 | FinCode | 7 | 47 |
 | CodeFinQA | 4668 | 795 |
-| CodeTATQA | 6846 | 2000 | 
+| CodeTATQA | 2856 | 2000 | 
 | **Quantity Extraction** | | |
 | ConvFinQA (E) |  | 629 |
 | TAT-QA (E) |  | 120  |