arzumanabbasov/azbanks-qadata

---
license: mit
task_categories:
- question-answering
language:
- az
tags:
- banking
- qa
- llm
- finance
pretty_name: Azerbaijani Banks Question Answering Datasets
size_categories:
- 10K<n<100K
---

# Azerbaijani Banks Question Answering Datasets

## Overview
This project comprises question-answer dataset from five prominent banks in Azerbaijan: Kapital Bank, Unibank, YeloBank, ABB Bank, and LeoBank. Dataset contains over 25,000 samples of question-answer pairs scraped from the comments section of the respective bank's Instagram page. These dataset are valuable resources for training and evaluating question answering systems tailored to the banking sector in Azerbaijan.

## Dataset Contents
azbanks-qadata.csv contains 4 columns, question, answer, bank, datetime

## Data Collection
The comments were scraped from the official Instagram pages of the respective banks. Comments were filtered to retain only those containing questions and their corresponding answers.

## Data Format
Each question-answer pair is provided as a separate entry in the dataset.

## Usage
Researchers and developers can utilize these datasets for training and evaluating question answering models, natural language understanding systems, and other related applications within the banking domain in Azerbaijan. The datasets can be used individually or combined for more comprehensive training and evaluation.

## License
These datasets are provided under the MIT Licence.

## Contributing
Contributions to these datasets are welcome. If you have additional data to contribute, suggestions for improvements please contact me.

## Contact
For any inquiries or further information about these datasets, please contact [e-mail]

原始信息汇总

Azerbaijani Banks Question Answering Datasets

概述

该项目包含来自阿塞拜疆五家主要银行的问答数据集：Kapital Bank、Unibank、YeloBank、ABB Bank 和 LeoBank。数据集包含超过 25,000 个从各银行 Instagram 页面评论部分抓取的问答对。这些数据集是针对阿塞拜疆银行业定制的问答系统训练和评估的宝贵资源。

数据集内容

azbanks-qadata.csv 包含 4 列：问题、答案、银行、日期时间。

数据收集

评论从各银行的官方 Instagram 页面抓取。评论经过过滤，仅保留包含问题及其相应答案的部分。

数据格式

每个问答对在数据集中作为单独的条目提供。

使用

研究人员和开发者可以利用这些数据集来训练和评估问答模型、自然语言理解系统以及其他相关应用，特别是在阿塞拜疆的银行业领域。这些数据集可以单独使用或组合使用，以进行更全面的训练和评估。

许可证

这些数据集根据 MIT 许可证提供。