README.md

---
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 22,000 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 [insert license details here].

## 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 a.arzuman313@gmail.com