pandalla/datatager_standard_finance_question

---
license: apache-2.0
---

---
license: apache-2.0
---

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# Standard Finance Question

## Prompt for Training
When training your model with this dataset, prepend the following prompt to each input instance:

```
将非标准或口语化的金融咨询转换为标准的、正式的语句。这一转换旨在清晰表达用户的咨询意图，同时提高语句的专业度和易理解性。
```

## Description
AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large models suitable for specific business scenarios through task-specific fine-tuning. We have open-sourced several datasets across various domains such as legal, medical, education, and HR, and this dataset is one of them.

This dataset, titled "Standard Finance Question," is crucial in improving the efficiency of financial services by ensuring that queries are precisely articulated. The standardization process simplifies the understanding of complex financial queries and facilitates faster and more accurate responses from financial institutions.

## Usage

The "Standard Finance Question" dataset is particularly valuable for training AI systems aimed at processing financial dialogues. By converting non-standard financial expressions into standardized queries, these AI models can assist in automating parts of the initial customer inquiry process. This not only reduces the time financial professionals spend in understanding client issues but also enhances the accuracy and relevance of the financial advice provided. Additionally, the dataset can be used in educational settings to train financial professionals on interpreting and reformulating customer questions.

## Citation

Please cite this dataset in your work as follows:

```
@misc{ Extract Medical Information Dataset,
author = {DataTager},
title = {Extract Medical Information Dataset},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\url{https://github.com/PandaVT/DataTager}}
}
```