Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| # coding=utf-8 | |
| # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """BANKING77 dataset.""" | |
| import csv | |
| import warnings | |
| import datasets | |
| from datasets.tasks import TextClassification | |
| _CITATION = r"""\ | |
| @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} | |
| } | |
| """ # noqa: W605 | |
| _DESCRIPTION = """\ | |
| 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. | |
| """ | |
| _HOMEPAGE = "https://github.com/PolyAI-LDN/task-specific-datasets" | |
| _LICENSE = "Creative Commons Attribution 4.0 International" | |
| _TRAIN_DOWNLOAD_URL = ( | |
| "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/train.csv" | |
| ) | |
| _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/test.csv" | |
| class Banking77(datasets.GeneratorBasedBuilder): | |
| """BANKING77 dataset.""" | |
| VERSION = datasets.Version("1.1.0") | |
| def _info(self): | |
| warnings.warn( | |
| "Dataset 'banking77' is deprecated and will be deleted. Use 'PolyAI/banking77' instead.", | |
| FutureWarning, | |
| ) | |
| features = datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "label": datasets.features.ClassLabel( | |
| names=[ | |
| "activate_my_card", | |
| "age_limit", | |
| "apple_pay_or_google_pay", | |
| "atm_support", | |
| "automatic_top_up", | |
| "balance_not_updated_after_bank_transfer", | |
| "balance_not_updated_after_cheque_or_cash_deposit", | |
| "beneficiary_not_allowed", | |
| "cancel_transfer", | |
| "card_about_to_expire", | |
| "card_acceptance", | |
| "card_arrival", | |
| "card_delivery_estimate", | |
| "card_linking", | |
| "card_not_working", | |
| "card_payment_fee_charged", | |
| "card_payment_not_recognised", | |
| "card_payment_wrong_exchange_rate", | |
| "card_swallowed", | |
| "cash_withdrawal_charge", | |
| "cash_withdrawal_not_recognised", | |
| "change_pin", | |
| "compromised_card", | |
| "contactless_not_working", | |
| "country_support", | |
| "declined_card_payment", | |
| "declined_cash_withdrawal", | |
| "declined_transfer", | |
| "direct_debit_payment_not_recognised", | |
| "disposable_card_limits", | |
| "edit_personal_details", | |
| "exchange_charge", | |
| "exchange_rate", | |
| "exchange_via_app", | |
| "extra_charge_on_statement", | |
| "failed_transfer", | |
| "fiat_currency_support", | |
| "get_disposable_virtual_card", | |
| "get_physical_card", | |
| "getting_spare_card", | |
| "getting_virtual_card", | |
| "lost_or_stolen_card", | |
| "lost_or_stolen_phone", | |
| "order_physical_card", | |
| "passcode_forgotten", | |
| "pending_card_payment", | |
| "pending_cash_withdrawal", | |
| "pending_top_up", | |
| "pending_transfer", | |
| "pin_blocked", | |
| "receiving_money", | |
| "Refund_not_showing_up", | |
| "request_refund", | |
| "reverted_card_payment?", | |
| "supported_cards_and_currencies", | |
| "terminate_account", | |
| "top_up_by_bank_transfer_charge", | |
| "top_up_by_card_charge", | |
| "top_up_by_cash_or_cheque", | |
| "top_up_failed", | |
| "top_up_limits", | |
| "top_up_reverted", | |
| "topping_up_by_card", | |
| "transaction_charged_twice", | |
| "transfer_fee_charged", | |
| "transfer_into_account", | |
| "transfer_not_received_by_recipient", | |
| "transfer_timing", | |
| "unable_to_verify_identity", | |
| "verify_my_identity", | |
| "verify_source_of_funds", | |
| "verify_top_up", | |
| "virtual_card_not_working", | |
| "visa_or_mastercard", | |
| "why_verify_identity", | |
| "wrong_amount_of_cash_received", | |
| "wrong_exchange_rate_for_cash_withdrawal", | |
| ] | |
| ), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| task_templates=[TextClassification(text_column="text", label_column="label")], | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| train_path = dl_manager.download(_TRAIN_DOWNLOAD_URL) | |
| test_path = dl_manager.download(_TEST_DOWNLOAD_URL) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """Yields examples as (key, example) tuples.""" | |
| with open(filepath, encoding="utf-8") as f: | |
| csv_reader = csv.reader(f, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True) | |
| # call next to skip header | |
| next(csv_reader) | |
| for id_, row in enumerate(csv_reader): | |
| text, label = row | |
| yield id_, {"text": text, "label": label} | |