--- 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: 715028 num_examples: 10003 - name: test num_bytes: 204010 num_examples: 3080 download_size: 392040 dataset_size: 919038 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* 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.