Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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---
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path: data/test-*
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: label
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dtype:
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class_label:
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names:
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'0': activate_my_card
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'1': age_limit
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'2': apple_pay_or_google_pay
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'3': atm_support
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'4': automatic_top_up
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'5': balance_not_updated_after_bank_transfer
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'6': balance_not_updated_after_cheque_or_cash_deposit
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'7': beneficiary_not_allowed
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'8': cancel_transfer
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'9': card_about_to_expire
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'10': card_acceptance
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'11': card_arrival
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'12': card_delivery_estimate
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'13': card_linking
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'14': card_not_working
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'15': card_payment_fee_charged
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'16': card_payment_not_recognised
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'17': card_payment_wrong_exchange_rate
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'18': card_swallowed
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'19': cash_withdrawal_charge
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'20': cash_withdrawal_not_recognised
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'21': change_pin
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'22': compromised_card
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'23': contactless_not_working
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'24': country_support
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'25': declined_card_payment
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'26': declined_cash_withdrawal
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'27': declined_transfer
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'28': direct_debit_payment_not_recognised
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'29': disposable_card_limits
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'30': edit_personal_details
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'31': exchange_charge
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'32': exchange_rate
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'33': exchange_via_app
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'34': extra_charge_on_statement
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'35': failed_transfer
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'36': fiat_currency_support
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'37': get_disposable_virtual_card
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'38': get_physical_card
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'39': getting_spare_card
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'40': getting_virtual_card
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'41': lost_or_stolen_card
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'42': lost_or_stolen_phone
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'43': order_physical_card
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'44': passcode_forgotten
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'45': pending_card_payment
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'46': pending_cash_withdrawal
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'47': pending_top_up
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'48': pending_transfer
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'49': pin_blocked
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'50': receiving_money
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'51': Refund_not_showing_up
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'52': request_refund
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'53': reverted_card_payment?
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'54': supported_cards_and_currencies
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'55': terminate_account
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'56': top_up_by_bank_transfer_charge
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'57': top_up_by_card_charge
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'58': top_up_by_cash_or_cheque
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'59': top_up_failed
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'60': top_up_limits
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'61': top_up_reverted
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'62': topping_up_by_card
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'63': transaction_charged_twice
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'64': transfer_fee_charged
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'65': transfer_into_account
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'66': transfer_not_received_by_recipient
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'67': transfer_timing
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'68': unable_to_verify_identity
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'69': verify_my_identity
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'70': verify_source_of_funds
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'71': verify_top_up
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'72': virtual_card_not_working
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'73': visa_or_mastercard
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'74': why_verify_identity
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'75': wrong_amount_of_cash_received
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'76': wrong_exchange_rate_for_cash_withdrawal
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splits:
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- name: train
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num_bytes: 715028
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num_examples: 10003
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- name: test
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num_bytes: 204010
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num_examples: 3080
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download_size: 392040
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dataset_size: 919038
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license: cc
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task_categories:
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- text-classification
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language:
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- en
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for "banking77"
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| 1 |
---
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annotations_creators:
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- expert-generated
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extended:
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- original
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language_creators:
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- expert-generated
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language:
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- en
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- intent-classification
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- multi-class-classification
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paperswithcode_id: null
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pretty_name: BANKING77
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---
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# Dataset Card for BANKING77
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
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- **Repository:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
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- **Paper:** [ArXiv](https://arxiv.org/abs/2003.04807)
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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Dataset composed of online banking queries annotated with their corresponding intents.
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BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
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It comprises 13,083 customer service queries labeled with 77 intents.
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It focuses on fine-grained single-domain intent detection.
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### Supported Tasks and Leaderboards
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Intent classification, intent detection
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### Languages
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English
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## Dataset Structure
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### Data Instances
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An example of 'train' looks as follows:
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```
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{
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'label': 11, # integer label corresponding to "card_arrival" intent
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'text': 'I am still waiting on my card?'
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}
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```
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### Data Fields
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- `text`: a string feature.
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- `label`: One of classification labels (0-76) corresponding to unique intents.
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Intent names are mapped to `label` in the following way:
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| label | intent (category) |
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|---:|:-------------------------------------------------|
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| 0 | activate_my_card |
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| 1 | age_limit |
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| 2 | apple_pay_or_google_pay |
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| 3 | atm_support |
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| 4 | automatic_top_up |
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| 5 | balance_not_updated_after_bank_transfer |
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| 6 | balance_not_updated_after_cheque_or_cash_deposit |
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| 7 | beneficiary_not_allowed |
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| 8 | cancel_transfer |
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| 9 | card_about_to_expire |
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| 10 | card_acceptance |
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| 11 | card_arrival |
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| 12 | card_delivery_estimate |
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| 13 | card_linking |
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| 14 | card_not_working |
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| 15 | card_payment_fee_charged |
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| 16 | card_payment_not_recognised |
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| 17 | card_payment_wrong_exchange_rate |
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| 18 | card_swallowed |
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| 19 | cash_withdrawal_charge |
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| 20 | cash_withdrawal_not_recognised |
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| 21 | change_pin |
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| 22 | compromised_card |
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| 23 | contactless_not_working |
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| 24 | country_support |
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| 25 | declined_card_payment |
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| 26 | declined_cash_withdrawal |
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| 27 | declined_transfer |
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| 28 | direct_debit_payment_not_recognised |
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| 29 | disposable_card_limits |
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| 30 | edit_personal_details |
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| 31 | exchange_charge |
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| 32 | exchange_rate |
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| 33 | exchange_via_app |
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| 34 | extra_charge_on_statement |
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| 35 | failed_transfer |
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| 134 |
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| 36 | fiat_currency_support |
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| 135 |
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| 37 | get_disposable_virtual_card |
|
| 136 |
+
| 38 | get_physical_card |
|
| 137 |
+
| 39 | getting_spare_card |
|
| 138 |
+
| 40 | getting_virtual_card |
|
| 139 |
+
| 41 | lost_or_stolen_card |
|
| 140 |
+
| 42 | lost_or_stolen_phone |
|
| 141 |
+
| 43 | order_physical_card |
|
| 142 |
+
| 44 | passcode_forgotten |
|
| 143 |
+
| 45 | pending_card_payment |
|
| 144 |
+
| 46 | pending_cash_withdrawal |
|
| 145 |
+
| 47 | pending_top_up |
|
| 146 |
+
| 48 | pending_transfer |
|
| 147 |
+
| 49 | pin_blocked |
|
| 148 |
+
| 50 | receiving_money |
|
| 149 |
+
| 51 | Refund_not_showing_up |
|
| 150 |
+
| 52 | request_refund |
|
| 151 |
+
| 53 | reverted_card_payment? |
|
| 152 |
+
| 54 | supported_cards_and_currencies |
|
| 153 |
+
| 55 | terminate_account |
|
| 154 |
+
| 56 | top_up_by_bank_transfer_charge |
|
| 155 |
+
| 57 | top_up_by_card_charge |
|
| 156 |
+
| 58 | top_up_by_cash_or_cheque |
|
| 157 |
+
| 59 | top_up_failed |
|
| 158 |
+
| 60 | top_up_limits |
|
| 159 |
+
| 61 | top_up_reverted |
|
| 160 |
+
| 62 | topping_up_by_card |
|
| 161 |
+
| 63 | transaction_charged_twice |
|
| 162 |
+
| 64 | transfer_fee_charged |
|
| 163 |
+
| 65 | transfer_into_account |
|
| 164 |
+
| 66 | transfer_not_received_by_recipient |
|
| 165 |
+
| 67 | transfer_timing |
|
| 166 |
+
| 68 | unable_to_verify_identity |
|
| 167 |
+
| 69 | verify_my_identity |
|
| 168 |
+
| 70 | verify_source_of_funds |
|
| 169 |
+
| 71 | verify_top_up |
|
| 170 |
+
| 72 | virtual_card_not_working |
|
| 171 |
+
| 73 | visa_or_mastercard |
|
| 172 |
+
| 74 | why_verify_identity |
|
| 173 |
+
| 75 | wrong_amount_of_cash_received |
|
| 174 |
+
| 76 | wrong_exchange_rate_for_cash_withdrawal |
|
| 175 |
+
|
| 176 |
+
### Data Splits
|
| 177 |
+
|
| 178 |
+
| Dataset statistics | Train | Test |
|
| 179 |
+
| --- | --- | --- |
|
| 180 |
+
| Number of examples | 10 003 | 3 080 |
|
| 181 |
+
| Average character length | 59.5 | 54.2 |
|
| 182 |
+
| Number of intents | 77 | 77 |
|
| 183 |
+
| Number of domains | 1 | 1 |
|
| 184 |
+
|
| 185 |
+
## Dataset Creation
|
| 186 |
+
|
| 187 |
+
### Curation Rationale
|
| 188 |
+
|
| 189 |
+
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.
|
| 190 |
+
|
| 191 |
+
### Source Data
|
| 192 |
+
|
| 193 |
+
#### Initial Data Collection and Normalization
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
#### Who are the source language producers?
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
### Annotations
|
| 202 |
+
|
| 203 |
+
#### Annotation process
|
| 204 |
+
|
| 205 |
+
The dataset does not contain any additional annotations.
|
| 206 |
+
|
| 207 |
+
#### Who are the annotators?
|
| 208 |
+
|
| 209 |
+
[N/A]
|
| 210 |
+
|
| 211 |
+
### Personal and Sensitive Information
|
| 212 |
+
|
| 213 |
+
[N/A]
|
| 214 |
+
|
| 215 |
+
## Considerations for Using the Data
|
| 216 |
+
|
| 217 |
+
### Social Impact of Dataset
|
| 218 |
+
|
| 219 |
+
The purpose of this dataset it to help develop better intent detection systems.
|
| 220 |
+
|
| 221 |
+
Any comprehensive intent detection evaluation should involve both coarser-grained multi-domain datasets and a fine-grained single-domain dataset such as BANKING77.
|
| 222 |
+
|
| 223 |
+
### Discussion of Biases
|
| 224 |
+
|
| 225 |
+
[More Information Needed]
|
| 226 |
+
|
| 227 |
+
### Other Known Limitations
|
| 228 |
+
|
| 229 |
+
[More Information Needed]
|
| 230 |
+
|
| 231 |
+
## Additional Information
|
| 232 |
+
|
| 233 |
+
### Dataset Curators
|
| 234 |
+
|
| 235 |
+
[PolyAI](https://github.com/PolyAI-LDN)
|
| 236 |
+
|
| 237 |
+
### Licensing Information
|
| 238 |
+
|
| 239 |
+
Creative Commons Attribution 4.0 International
|
| 240 |
+
|
| 241 |
+
### Citation Information
|
| 242 |
+
|
| 243 |
+
```
|
| 244 |
+
@inproceedings{Casanueva2020,
|
| 245 |
+
author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
|
| 246 |
+
title = {Efficient Intent Detection with Dual Sentence Encoders},
|
| 247 |
+
year = {2020},
|
| 248 |
+
month = {mar},
|
| 249 |
+
note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
|
| 250 |
+
url = {https://arxiv.org/abs/2003.04807},
|
| 251 |
+
booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
|
| 252 |
+
}
|
| 253 |
+
```
|
| 254 |
+
|
| 255 |
+
### Contributions
|
| 256 |
+
|
| 257 |
+
Thanks to [@dkajtoch](https://github.com/dkajtoch) for adding this dataset.
|