Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
| 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 | |
| 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. |