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---
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
- name: vector
sequence: float32
splits:
- name: test
num_bytes: 4947210
num_examples: 3080
download_size: 6749950
dataset_size: 4947210
---
# Dataset Card for "banking77_vectors"
Install `pip install fast-sentence-transformers`
```python
from fast_sentence_transformers import FastSentenceTransformer as SentenceTransformer
from datasets import load_dataset
# use any sentence-transformer
encoder = SentenceTransformer("all-MiniLM-L6-v2", device="cpu")
dataset = load_dataset("banking77", split="test")
dataset = dataset.map(lambda batch: {"vector": encoder.encode(batch["text"])}, batch_size=32, batched=True)
```
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |