Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
File size: 14,251 Bytes
a76ff36
 
 
 
 
a96f259
a76ff36
a96f259
f6881ad
a76ff36
 
 
07c0879
a76ff36
 
 
 
 
 
 
df1f78d
f44558c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b396d4e
 
 
 
 
 
 
 
 
 
 
008b447
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a76ff36
 
 
 
 
07c0879
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a76ff36
 
 
 
 
 
 
 
 
 
 
ff8494e
 
 
 
a76ff36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
008b447
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- intent-classification
- multi-class-classification
pretty_name: BANKING77
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': activate_my_card
          '1': age_limit
          '2': apple_pay_or_google_pay
          '3': atm_support
          '4': automatic_top_up
          '5': balance_not_updated_after_bank_transfer
          '6': balance_not_updated_after_cheque_or_cash_deposit
          '7': beneficiary_not_allowed
          '8': cancel_transfer
          '9': card_about_to_expire
          '10': card_acceptance
          '11': card_arrival
          '12': card_delivery_estimate
          '13': card_linking
          '14': card_not_working
          '15': card_payment_fee_charged
          '16': card_payment_not_recognised
          '17': card_payment_wrong_exchange_rate
          '18': card_swallowed
          '19': cash_withdrawal_charge
          '20': cash_withdrawal_not_recognised
          '21': change_pin
          '22': compromised_card
          '23': contactless_not_working
          '24': country_support
          '25': declined_card_payment
          '26': declined_cash_withdrawal
          '27': declined_transfer
          '28': direct_debit_payment_not_recognised
          '29': disposable_card_limits
          '30': edit_personal_details
          '31': exchange_charge
          '32': exchange_rate
          '33': exchange_via_app
          '34': extra_charge_on_statement
          '35': failed_transfer
          '36': fiat_currency_support
          '37': get_disposable_virtual_card
          '38': get_physical_card
          '39': getting_spare_card
          '40': getting_virtual_card
          '41': lost_or_stolen_card
          '42': lost_or_stolen_phone
          '43': order_physical_card
          '44': passcode_forgotten
          '45': pending_card_payment
          '46': pending_cash_withdrawal
          '47': pending_top_up
          '48': pending_transfer
          '49': pin_blocked
          '50': receiving_money
          '51': Refund_not_showing_up
          '52': request_refund
          '53': reverted_card_payment?
          '54': supported_cards_and_currencies
          '55': terminate_account
          '56': top_up_by_bank_transfer_charge
          '57': top_up_by_card_charge
          '58': top_up_by_cash_or_cheque
          '59': top_up_failed
          '60': top_up_limits
          '61': top_up_reverted
          '62': topping_up_by_card
          '63': transaction_charged_twice
          '64': transfer_fee_charged
          '65': transfer_into_account
          '66': transfer_not_received_by_recipient
          '67': transfer_timing
          '68': unable_to_verify_identity
          '69': verify_my_identity
          '70': verify_source_of_funds
          '71': verify_top_up
          '72': virtual_card_not_working
          '73': visa_or_mastercard
          '74': why_verify_identity
          '75': wrong_amount_of_cash_received
          '76': wrong_exchange_rate_for_cash_withdrawal
  splits:
  - name: train
    num_bytes: 715036
    num_examples: 10003
  - name: test
    num_bytes: 204014
    num_examples: 3080
  download_size: 1079034
  dataset_size: 919050
train-eval-index:
- config: default
  task: text-classification
  task_id: multi_class_classification
  splits:
    train_split: train
    eval_split: test
  col_mapping:
    text: text
    label: target
  metrics:
  - type: accuracy
    name: Accuracy
  - type: f1
    name: F1 macro
    args:
      average: macro
  - type: f1
    name: F1 micro
    args:
      average: micro
  - type: f1
    name: F1 weighted
    args:
      average: weighted
  - type: precision
    name: Precision macro
    args:
      average: macro
  - type: precision
    name: Precision micro
    args:
      average: micro
  - type: precision
    name: Precision weighted
    args:
      average: weighted
  - type: recall
    name: Recall macro
    args:
      average: macro
  - type: recall
    name: Recall micro
    args:
      average: micro
  - type: recall
    name: Recall weighted
    args:
      average: weighted
---

# Dataset Card for BANKING77

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
- **Repository:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
- **Paper:** [ArXiv](https://arxiv.org/abs/2003.04807)
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
  <p><b>Deprecated:</b> Dataset "banking77" is deprecated and will be deleted. Use "<a href="https://huggingface.co/datasets/PolyAI/banking77">PolyAI/banking77</a>" instead.</p>
</div>

Dataset composed of online banking queries annotated with their corresponding intents.

BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
It comprises 13,083 customer service queries labeled with 77 intents. 
It focuses on fine-grained single-domain intent detection.

### Supported Tasks and Leaderboards

Intent classification, intent detection

### Languages

English

## Dataset Structure

### Data Instances

An example of 'train' looks as follows:
```
{
  'label': 11, # integer label corresponding to "card_arrival" intent
  'text': 'I am still waiting on my card?'
}
```

### Data Fields

- `text`: a string feature.
- `label`: One of classification labels (0-76) corresponding to unique intents.

Intent names are mapped to `label` in the following way:

| label | intent (category)                                           |
|---:|:-------------------------------------------------|
|  0 | activate_my_card                                 |
|  1 | age_limit                                        |
|  2 | apple_pay_or_google_pay                          |
|  3 | atm_support                                      |
|  4 | automatic_top_up                                 |
|  5 | balance_not_updated_after_bank_transfer          |
|  6 | balance_not_updated_after_cheque_or_cash_deposit |
|  7 | beneficiary_not_allowed                          |
|  8 | cancel_transfer                                  |
|  9 | card_about_to_expire                             |
| 10 | card_acceptance                                  |
| 11 | card_arrival                                     |
| 12 | card_delivery_estimate                           |
| 13 | card_linking                                     |
| 14 | card_not_working                                 |
| 15 | card_payment_fee_charged                         |
| 16 | card_payment_not_recognised                      |
| 17 | card_payment_wrong_exchange_rate                 |
| 18 | card_swallowed                                   |
| 19 | cash_withdrawal_charge                           |
| 20 | cash_withdrawal_not_recognised                   |
| 21 | change_pin                                       |
| 22 | compromised_card                                 |
| 23 | contactless_not_working                          |
| 24 | country_support                                  |
| 25 | declined_card_payment                            |
| 26 | declined_cash_withdrawal                         |
| 27 | declined_transfer                                |
| 28 | direct_debit_payment_not_recognised              |
| 29 | disposable_card_limits                           |
| 30 | edit_personal_details                            |
| 31 | exchange_charge                                  |
| 32 | exchange_rate                                    |
| 33 | exchange_via_app                                 |
| 34 | extra_charge_on_statement                        |
| 35 | failed_transfer                                  |
| 36 | fiat_currency_support                            |
| 37 | get_disposable_virtual_card                      |
| 38 | get_physical_card                                |
| 39 | getting_spare_card                               |
| 40 | getting_virtual_card                             |
| 41 | lost_or_stolen_card                              |
| 42 | lost_or_stolen_phone                             |
| 43 | order_physical_card                              |
| 44 | passcode_forgotten                               |
| 45 | pending_card_payment                             |
| 46 | pending_cash_withdrawal                          |
| 47 | pending_top_up                                   |
| 48 | pending_transfer                                 |
| 49 | pin_blocked                                      |
| 50 | receiving_money                                  |
| 51 | Refund_not_showing_up                            |
| 52 | request_refund                                   |
| 53 | reverted_card_payment?                           |
| 54 | supported_cards_and_currencies                   |
| 55 | terminate_account                                |
| 56 | top_up_by_bank_transfer_charge                   |
| 57 | top_up_by_card_charge                            |
| 58 | top_up_by_cash_or_cheque                         |
| 59 | top_up_failed                                    |
| 60 | top_up_limits                                    |
| 61 | top_up_reverted                                  |
| 62 | topping_up_by_card                               |
| 63 | transaction_charged_twice                        |
| 64 | transfer_fee_charged                             |
| 65 | transfer_into_account                            |
| 66 | transfer_not_received_by_recipient               |
| 67 | transfer_timing                                  |
| 68 | unable_to_verify_identity                        |
| 69 | verify_my_identity                               |
| 70 | verify_source_of_funds                           |
| 71 | verify_top_up                                    |
| 72 | virtual_card_not_working                         |
| 73 | visa_or_mastercard                               |
| 74 | why_verify_identity                              |
| 75 | wrong_amount_of_cash_received                    |
| 76 | wrong_exchange_rate_for_cash_withdrawal          |

### Data Splits

| Dataset statistics | Train | Test |
| --- | --- | --- |
| Number of examples | 10 003 | 3 080 |
| Average character length | 59.5 | 54.2 |
| Number of intents | 77 | 77 |
| Number of domains | 1 | 1 |

## Dataset Creation

### Curation Rationale

Previous intent detection datasets such as Web Apps, Ask Ubuntu, the Chatbot Corpus or SNIPS are limited to small number of classes (<10), which oversimplifies the intent detection task and does not emulate the true environment of commercial systems. Although there exist large scale *multi-domain* datasets ([HWU64](https://github.com/xliuhw/NLU-Evaluation-Data) and [CLINC150](https://github.com/clinc/oos-eval)), the examples per each domain may not sufficiently capture the full complexity of each domain as encountered "in the wild". This dataset tries to fill the gap and provides a very fine-grained set of intents in a *single-domain* i.e. **banking**. Its focus on fine-grained single-domain intent detection makes it complementary to the other two multi-domain datasets.

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

The dataset does not contain any additional annotations.

#### Who are the annotators?

[N/A]

### Personal and Sensitive Information

[N/A]

## Considerations for Using the Data

### Social Impact of Dataset

The purpose of this dataset it to help develop better intent detection systems.

Any comprehensive intent detection evaluation should involve both coarser-grained multi-domain datasets and a fine-grained single-domain dataset such as BANKING77.

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[PolyAI](https://github.com/PolyAI-LDN)

### Licensing Information

Creative Commons Attribution 4.0 International

### Citation Information

```
@inproceedings{Casanueva2020,
    author      = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
    title       = {Efficient Intent Detection with Dual Sentence Encoders},
    year        = {2020},
    month       = {mar},
    note        = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
    url         = {https://arxiv.org/abs/2003.04807},
    booktitle   = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
}
```

### Contributions

Thanks to [@dkajtoch](https://github.com/dkajtoch) for adding this dataset.