azbanks-qadata / README.md
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metadata
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 [email protected]