Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Add 'banking_77' config data files
Browse files- .gitattributes +1 -0
- README.md +103 -0
- banking_77/test-00000-of-00001.parquet +3 -0
- banking_77/train-00000-of-00001.parquet +0 -0
- dataset_infos.json +9 -108
.gitattributes
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@@ -17,3 +17,4 @@
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data/ filter=lfs diff=lfs merge=lfs -text
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tai_safety_research/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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ade_corpus_v2/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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data/ filter=lfs diff=lfs merge=lfs -text
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tai_safety_research/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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ade_corpus_v2/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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banking_77/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -46,6 +46,103 @@ dataset_info:
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num_examples: 5000
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download_size: 445823
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dataset_size: 716689
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- config_name: tai_safety_research
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features:
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- name: Title
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@@ -87,6 +184,12 @@ configs:
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path: ade_corpus_v2/train-*
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- split: test
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path: ade_corpus_v2/test-*
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- config_name: tai_safety_research
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data_files:
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- split: train
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num_examples: 5000
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| 47 |
download_size: 445823
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dataset_size: 716689
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| 49 |
+
- config_name: banking_77
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| 50 |
+
features:
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| 51 |
+
- name: Query
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| 52 |
+
dtype: string
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| 53 |
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- name: ID
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| 54 |
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dtype: int32
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| 55 |
+
- name: Label
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| 56 |
+
dtype:
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class_label:
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names:
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| 59 |
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'0': Unlabeled
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| 60 |
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'1': Refund_not_showing_up
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| 61 |
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'2': activate_my_card
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| 62 |
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'3': age_limit
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| 63 |
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'4': apple_pay_or_google_pay
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| 64 |
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'5': atm_support
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| 65 |
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'6': automatic_top_up
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| 66 |
+
'7': balance_not_updated_after_bank_transfer
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| 67 |
+
'8': balance_not_updated_after_cheque_or_cash_deposit
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| 68 |
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'9': beneficiary_not_allowed
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| 69 |
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'10': cancel_transfer
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| 70 |
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'11': card_about_to_expire
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| 71 |
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'12': card_acceptance
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| 72 |
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'13': card_arrival
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| 73 |
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'14': card_delivery_estimate
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| 74 |
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'15': card_linking
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| 75 |
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'16': card_not_working
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| 76 |
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'17': card_payment_fee_charged
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| 77 |
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'18': card_payment_not_recognised
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| 78 |
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'19': card_payment_wrong_exchange_rate
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| 79 |
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'20': card_swallowed
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| 80 |
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'21': cash_withdrawal_charge
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| 81 |
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'22': cash_withdrawal_not_recognised
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| 82 |
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'23': change_pin
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| 83 |
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'24': compromised_card
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| 84 |
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'25': contactless_not_working
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| 85 |
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'26': country_support
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| 86 |
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'27': declined_card_payment
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| 87 |
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'28': declined_cash_withdrawal
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| 88 |
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'29': declined_transfer
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| 89 |
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'30': direct_debit_payment_not_recognised
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| 90 |
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'31': disposable_card_limits
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| 91 |
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'32': edit_personal_details
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| 92 |
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'33': exchange_charge
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| 93 |
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'34': exchange_rate
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| 94 |
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'35': exchange_via_app
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| 95 |
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'36': extra_charge_on_statement
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| 96 |
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'37': failed_transfer
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| 97 |
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'38': fiat_currency_support
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| 98 |
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'39': get_disposable_virtual_card
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| 99 |
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'40': get_physical_card
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| 100 |
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'41': getting_spare_card
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| 101 |
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'42': getting_virtual_card
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| 102 |
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'43': lost_or_stolen_card
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| 103 |
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'44': lost_or_stolen_phone
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| 104 |
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'45': order_physical_card
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| 105 |
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'46': passcode_forgotten
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| 106 |
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'47': pending_card_payment
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| 107 |
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'48': pending_cash_withdrawal
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| 108 |
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'49': pending_top_up
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| 109 |
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'50': pending_transfer
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| 110 |
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'51': pin_blocked
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| 111 |
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'52': receiving_money
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| 112 |
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'53': request_refund
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| 113 |
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'54': reverted_card_payment?
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| 114 |
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'55': supported_cards_and_currencies
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| 115 |
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'56': terminate_account
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| 116 |
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'57': top_up_by_bank_transfer_charge
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| 117 |
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'58': top_up_by_card_charge
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| 118 |
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'59': top_up_by_cash_or_cheque
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| 119 |
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'60': top_up_failed
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| 120 |
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'61': top_up_limits
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| 121 |
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'62': top_up_reverted
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| 122 |
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'63': topping_up_by_card
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| 123 |
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'64': transaction_charged_twice
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| 124 |
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'65': transfer_fee_charged
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| 125 |
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'66': transfer_into_account
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| 126 |
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'67': transfer_not_received_by_recipient
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| 127 |
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'68': transfer_timing
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| 128 |
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'69': unable_to_verify_identity
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| 129 |
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'70': verify_my_identity
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| 130 |
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'71': verify_source_of_funds
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| 131 |
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'72': verify_top_up
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| 132 |
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'73': virtual_card_not_working
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| 133 |
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'74': visa_or_mastercard
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| 134 |
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'75': why_verify_identity
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| 135 |
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'76': wrong_amount_of_cash_received
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| 136 |
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'77': wrong_exchange_rate_for_cash_withdrawal
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| 137 |
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splits:
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- name: train
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num_bytes: 3373
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num_examples: 50
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- name: test
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num_bytes: 376765
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num_examples: 5000
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download_size: 214821
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dataset_size: 380138
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- config_name: tai_safety_research
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features:
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- name: Title
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| 184 |
path: ade_corpus_v2/train-*
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- split: test
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path: ade_corpus_v2/test-*
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+
- config_name: banking_77
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data_files:
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| 189 |
+
- split: train
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| 190 |
+
path: banking_77/train-*
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| 191 |
+
- split: test
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| 192 |
+
path: banking_77/test-*
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| 193 |
- config_name: tai_safety_research
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data_files:
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- split: train
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banking_77/test-00000-of-00001.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6ac7f980fffc7b90cc931e937be2f8033f812ca3683f7c26d0fcd1abca63267c
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+
size 206428
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banking_77/train-00000-of-00001.parquet
ADDED
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Binary file (8.39 kB). View file
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dataset_infos.json
CHANGED
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@@ -57,16 +57,13 @@
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"features": {
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"Query": {
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"dtype": "string",
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-
"id": null,
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"_type": "Value"
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},
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"ID": {
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"dtype": "int32",
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-
"id": null,
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"_type": "Value"
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},
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"Label": {
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-
"num_classes": 78,
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"names": [
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"Unlabeled",
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"Refund_not_showing_up",
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@@ -147,19 +144,14 @@
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"wrong_amount_of_cash_received",
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"wrong_exchange_rate_for_cash_withdrawal"
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],
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-
"names_file": null,
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-
"id": null,
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"_type": "ClassLabel"
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}
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},
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-
"
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-
"
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-
"task_templates": null,
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-
"builder_name": "raft",
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"config_name": "banking_77",
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| 160 |
"version": {
|
| 161 |
"version_str": "1.1.0",
|
| 162 |
-
"description": null,
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"major": 1,
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"minor": 1,
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"patch": 0
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@@ -167,111 +159,20 @@
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"splits": {
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"train": {
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"name": "train",
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-
"num_bytes":
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"num_examples": 50,
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-
"dataset_name":
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| 173 |
},
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"test": {
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"name": "test",
|
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-
"num_bytes":
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"num_examples": 5000,
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-
"dataset_name":
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}
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},
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"download_checksums": {
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"data/ade_corpus_v2/train.csv": {
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}
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},
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"download_size":
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"
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-
"
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-
"size_in_bytes": 10132311
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},
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"terms_of_service": {
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"description": "Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? \n\n[RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models:\n\n- across multiple domains (lit review, tweets, customer interaction, etc.)\n- on economically valuable classification tasks (someone inherently cares about the task)\n- in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)\n",
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"features": {
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"Query": {
|
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"dtype": "string",
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"_type": "Value"
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},
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"ID": {
|
| 63 |
"dtype": "int32",
|
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| 64 |
"_type": "Value"
|
| 65 |
},
|
| 66 |
"Label": {
|
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| 67 |
"names": [
|
| 68 |
"Unlabeled",
|
| 69 |
"Refund_not_showing_up",
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| 144 |
"wrong_amount_of_cash_received",
|
| 145 |
"wrong_exchange_rate_for_cash_withdrawal"
|
| 146 |
],
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| 147 |
"_type": "ClassLabel"
|
| 148 |
}
|
| 149 |
},
|
| 150 |
+
"builder_name": "parquet",
|
| 151 |
+
"dataset_name": "raft",
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| 152 |
"config_name": "banking_77",
|
| 153 |
"version": {
|
| 154 |
"version_str": "1.1.0",
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| 155 |
"major": 1,
|
| 156 |
"minor": 1,
|
| 157 |
"patch": 0
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| 159 |
"splits": {
|
| 160 |
"train": {
|
| 161 |
"name": "train",
|
| 162 |
+
"num_bytes": 3373,
|
| 163 |
"num_examples": 50,
|
| 164 |
+
"dataset_name": null
|
| 165 |
},
|
| 166 |
"test": {
|
| 167 |
"name": "test",
|
| 168 |
+
"num_bytes": 376765,
|
| 169 |
"num_examples": 5000,
|
| 170 |
+
"dataset_name": null
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| 171 |
}
|
| 172 |
},
|
| 173 |
+
"download_size": 214821,
|
| 174 |
+
"dataset_size": 380138,
|
| 175 |
+
"size_in_bytes": 594959
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|
| 176 |
},
|
| 177 |
"terms_of_service": {
|
| 178 |
"description": "Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? \n\n[RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models:\n\n- across multiple domains (lit review, tweets, customer interaction, etc.)\n- on economically valuable classification tasks (someone inherently cares about the task)\n- in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)\n",
|