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timpearce
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banking10

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banking10
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# Bankin10
Banking10 Dataset

## Overview
This dataset is a modified version of the original Banking77 dataset created by PolyAI. While the original dataset contains 77 fine-grained banking intents for customer service queries, this version provides a higher-level categorization by grouping these intents into 9 macro-categories.

## Original Dataset
The Banking77 dataset was created to help train and evaluate banking customer service dialogue systems. It contains 13,083 customer service queries labelled with 77 different intents. 
The original dataset focuses on fine-grained intent detection with clusters of semantically similar intents but differ in their banking-specific resolution.

## Modifications
We have regrouped the 77 original intents into 10 broader categories to facilitate higher-level categories classification:

### CARD_MANAGEMENT
- Card ordering, activation, and delivery
- Lost, stolen, or malfunctioning cards
- Card linking and support

### CARD_TRANSACTIONS
- Card payments
- Transaction recognition and disputes
- Payment status and declines
- Exchange rate issues

### CASH_OPERATIONS
- ATM withdrawals
- Cash withdrawal charges
- ATM-related issues
- Cash amount discrepancies

### TRANSFERS_AND_PAYMENTS
- Money transfers
- Direct debits
- Payment reception
- Transfer status and issues

### TOP_UP_OPERATIONS
- Account top-ups
- Balance updates
- Top-up verification
- Failed top-ups

### ACCOUNT_VERIFICATION
- Identity verification
- PIN and passcode management
- Security measures
- Phone-related security

### REFUNDS_AND_DISPUTES
- Refund requests
- Refund tracking
- Dispute resolution

### ACCOUNT_SETTINGS
- Personal details management
- Account termination

### FEES_AND_CHARGES
- Transaction fees
- Exchange charges
- Transfer and top-up fees

### LIMITS_AND_RESTRICTIONS
- Account limits
- Currency support
- Country restrictions
- Payment method support


## Dataset Structure
The dataset maintains the same structure as the original Banking77:

Training set: 10,003 examples
Test set: 3,080 examples

The only difference is in the label space, which has been reduced from 77 to 10 categories.

## Citation
If you use this dataset, please cite the original Banking77 dataset:
Copy@article{banking77,
  title={Banking77 - A Fine-Grained Banking Customer Service Dataset},
  author={Paul, S. and Ganchev, H. and Henderson, M.},
  journal={arXiv preprint arXiv:2003.04807},
  year={2020}
}

## License
This dataset follows the same license as the original Banking77 dataset.


## Acknowledgments
We thank PolyAI for creating and sharing the original Banking77 dataset. This modified version aims to provide an alternative perspective on the data by offering a more consolidated view of banking intents.

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