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---
license: mit
dataset_info:
features:
- name: question_id
dtype: string
- name: question
dtype: string
- name: topic
dtype: string
- name: python_solution
dtype: string
---
## Dataset Description
**KnowledgeMath** is a knowledge-intensive dataset focused on mathematical reasoning within the domain of finance. It requires the model to comprehend specialized financial terminology and to interpret tabular data presented in the questions.
**KnowledgeMath** includes **1200 QA examples** across 7 key areas in finance. These examples were collected from financial experts and feature detailed solution annotations in Python format.
## Dataset Information
- Paper: https://arxiv.org/abs/2311.09797
- Code: https://github.com/yale-nlp/KnowledgeMath
- Leaderboard: will be released soon!
### Data Downloading and Usage
All the data examples were divided into two subsets: *validation* and *test*.
- **validation**: 200 examples used for model development, validation, or for those with limited computing resources.
- **test**: 1000 examples for standard evaluation. We will not publicly release the annotated solution and answer for the test set.
You can download this dataset by the following command:
```python
from datasets import load_dataset
dataset = load_dataset("yale-nlp/KnowledgeMath")
```
Here are some examples of how to access the downloaded dataset:
```python
# print the first example on the validation set
print(dataset["validation"][0])
# print the first example on the test set
print(dataset["test"][0])
```
### Data Format
The dataset is provided in json format and contains the following attributes:
```json
{
"question_id": [string] The question id,
"question": [string] The question text,
"tables": [list] List of Markdown-format tables associated with the question,
"python_solution": [string] Python-format and executable solution by financial experts. The code is written in a clear and executable format, with well-named variables and a detailed explanation,
"ground_truth": [integer] Executed result of `python solution`, rounded to three decimal places,
"topic": [string] The related financial area of the question
}
```
### Automated Evaluation
To automatically evaluate a model on **KnowledgeMath**, please refer to our GitHub repository [here](https://github.com/yale-nlp/KnowledgeMath).
## Citation
If you use the **KnowledgeMath** dataset in your work, please kindly cite the paper:
```
@misc{zhao2023knowledgemath,
title={KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains},
author={Yilun Zhao and Hongjun Liu and Yitao Long and Rui Zhang and Chen Zhao and Arman Cohan},
year={2023},
eprint={2311.09797},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |