Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
finance
License:
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
dataset_info:
|
3 |
features:
|
|
|
1 |
+
# Bankin10
|
2 |
+
Banking10 Dataset
|
3 |
+
|
4 |
+
## Overview
|
5 |
+
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.
|
6 |
+
|
7 |
+
## Original Dataset
|
8 |
+
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.
|
9 |
+
The original dataset focuses on fine-grained intent detection with clusters of semantically similar intents but differ in their banking-specific resolution.
|
10 |
+
|
11 |
+
## Modifications
|
12 |
+
We have regrouped the 77 original intents into 10 broader categories to facilitate higher-level categories classification:
|
13 |
+
|
14 |
+
### CARD_MANAGEMENT
|
15 |
+
- Card ordering, activation, and delivery
|
16 |
+
- Lost, stolen, or malfunctioning cards
|
17 |
+
- Card linking and support
|
18 |
+
|
19 |
+
### CARD_TRANSACTIONS
|
20 |
+
- Card payments
|
21 |
+
- Transaction recognition and disputes
|
22 |
+
- Payment status and declines
|
23 |
+
- Exchange rate issues
|
24 |
+
|
25 |
+
### CASH_OPERATIONS
|
26 |
+
- ATM withdrawals
|
27 |
+
- Cash withdrawal charges
|
28 |
+
- ATM-related issues
|
29 |
+
- Cash amount discrepancies
|
30 |
+
|
31 |
+
### TRANSFERS_AND_PAYMENTS
|
32 |
+
- Money transfers
|
33 |
+
- Direct debits
|
34 |
+
- Payment reception
|
35 |
+
- Transfer status and issues
|
36 |
+
|
37 |
+
### TOP_UP_OPERATIONS
|
38 |
+
- Account top-ups
|
39 |
+
- Balance updates
|
40 |
+
- Top-up verification
|
41 |
+
- Failed top-ups
|
42 |
+
|
43 |
+
### ACCOUNT_VERIFICATION
|
44 |
+
- Identity verification
|
45 |
+
- PIN and passcode management
|
46 |
+
- Security measures
|
47 |
+
- Phone-related security
|
48 |
+
|
49 |
+
### REFUNDS_AND_DISPUTES
|
50 |
+
- Refund requests
|
51 |
+
- Refund tracking
|
52 |
+
- Dispute resolution
|
53 |
+
|
54 |
+
### ACCOUNT_SETTINGS
|
55 |
+
- Personal details management
|
56 |
+
- Account termination
|
57 |
+
|
58 |
+
### FEES_AND_CHARGES
|
59 |
+
- Transaction fees
|
60 |
+
- Exchange charges
|
61 |
+
- Transfer and top-up fees
|
62 |
+
|
63 |
+
### LIMITS_AND_RESTRICTIONS
|
64 |
+
- Account limits
|
65 |
+
- Currency support
|
66 |
+
- Country restrictions
|
67 |
+
- Payment method support
|
68 |
+
|
69 |
+
|
70 |
+
## Dataset Structure
|
71 |
+
The dataset maintains the same structure as the original Banking77:
|
72 |
+
|
73 |
+
Training set: 10,003 examples
|
74 |
+
Test set: 3,080 examples
|
75 |
+
|
76 |
+
The only difference is in the label space, which has been reduced from 77 to 10 categories.
|
77 |
+
|
78 |
+
## Citation
|
79 |
+
If you use this dataset, please cite the original Banking77 dataset:
|
80 |
+
Copy@article{banking77,
|
81 |
+
title={Banking77 - A Fine-Grained Banking Customer Service Dataset},
|
82 |
+
author={Paul, S. and Ganchev, H. and Henderson, M.},
|
83 |
+
journal={arXiv preprint arXiv:2003.04807},
|
84 |
+
year={2020}
|
85 |
+
}
|
86 |
+
|
87 |
+
## License
|
88 |
+
This dataset follows the same license as the original Banking77 dataset.
|
89 |
+
|
90 |
+
|
91 |
+
## Acknowledgments
|
92 |
+
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.
|
93 |
+
|
94 |
---
|
95 |
dataset_info:
|
96 |
features:
|