Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
9c043e5
1 Parent(s): 11b7417

Delete loading script

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  1. banking77.py +0 -176
banking77.py DELETED
@@ -1,176 +0,0 @@
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- # coding=utf-8
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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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- """BANKING77 dataset."""
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-
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-
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- import csv
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- import warnings
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-
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- import datasets
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- from datasets.tasks import TextClassification
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-
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-
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- _CITATION = r"""\
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- @inproceedings{Casanueva2020,
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- author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
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- title = {Efficient Intent Detection with Dual Sentence Encoders},
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- year = {2020},
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- month = {mar},
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- note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
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- url = {https://arxiv.org/abs/2003.04807},
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- booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
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- }
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- """ # noqa: W605
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-
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- _DESCRIPTION = """\
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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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- """
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-
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- _HOMEPAGE = "https://github.com/PolyAI-LDN/task-specific-datasets"
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-
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- _LICENSE = "Creative Commons Attribution 4.0 International"
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-
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- _TRAIN_DOWNLOAD_URL = (
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- "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/train.csv"
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- )
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- _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/test.csv"
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-
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-
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- class Banking77(datasets.GeneratorBasedBuilder):
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- """BANKING77 dataset."""
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-
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- VERSION = datasets.Version("1.1.0")
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-
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- def _info(self):
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- warnings.warn(
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- "Dataset 'banking77' is deprecated and will be deleted. Use 'PolyAI/banking77' instead.",
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- FutureWarning,
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- )
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- features = datasets.Features(
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- {
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- "text": datasets.Value("string"),
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- "label": datasets.features.ClassLabel(
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- names=[
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- "activate_my_card",
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- "age_limit",
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- "apple_pay_or_google_pay",
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- "atm_support",
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- "automatic_top_up",
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- "balance_not_updated_after_bank_transfer",
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- "balance_not_updated_after_cheque_or_cash_deposit",
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- "beneficiary_not_allowed",
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- "cancel_transfer",
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- "card_about_to_expire",
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- "card_acceptance",
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- "card_arrival",
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- "card_delivery_estimate",
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- "card_linking",
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- "card_not_working",
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- "card_payment_fee_charged",
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- "card_payment_not_recognised",
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- "card_payment_wrong_exchange_rate",
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- "card_swallowed",
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- "cash_withdrawal_charge",
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- "cash_withdrawal_not_recognised",
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- "change_pin",
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- "compromised_card",
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- "contactless_not_working",
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- "country_support",
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- "declined_card_payment",
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- "declined_cash_withdrawal",
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- "declined_transfer",
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- "direct_debit_payment_not_recognised",
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- "disposable_card_limits",
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- "edit_personal_details",
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- "exchange_charge",
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- "exchange_rate",
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- "exchange_via_app",
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- "extra_charge_on_statement",
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- "failed_transfer",
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- "fiat_currency_support",
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- "get_disposable_virtual_card",
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- "get_physical_card",
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- "getting_spare_card",
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- "getting_virtual_card",
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- "lost_or_stolen_card",
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- "lost_or_stolen_phone",
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- "order_physical_card",
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- "passcode_forgotten",
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- "pending_card_payment",
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- "pending_cash_withdrawal",
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- "pending_top_up",
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- "pending_transfer",
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- "pin_blocked",
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- "receiving_money",
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- "Refund_not_showing_up",
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- "request_refund",
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- "reverted_card_payment?",
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- "supported_cards_and_currencies",
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- "terminate_account",
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- "top_up_by_bank_transfer_charge",
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- "top_up_by_card_charge",
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- "top_up_by_cash_or_cheque",
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- "top_up_failed",
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- "top_up_limits",
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- "top_up_reverted",
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- "topping_up_by_card",
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- "transaction_charged_twice",
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- "transfer_fee_charged",
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- "transfer_into_account",
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- "transfer_not_received_by_recipient",
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- "transfer_timing",
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- "unable_to_verify_identity",
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- "verify_my_identity",
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- "verify_source_of_funds",
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- "verify_top_up",
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- "virtual_card_not_working",
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- "visa_or_mastercard",
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- "why_verify_identity",
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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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- ),
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- }
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- )
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=features,
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- supervised_keys=None,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- citation=_CITATION,
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- task_templates=[TextClassification(text_column="text", label_column="label")],
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- train_path = dl_manager.download(_TRAIN_DOWNLOAD_URL)
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- test_path = dl_manager.download(_TEST_DOWNLOAD_URL)
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- return [
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- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
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- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
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- ]
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-
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- def _generate_examples(self, filepath):
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- """Yields examples as (key, example) tuples."""
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- with open(filepath, encoding="utf-8") as f:
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- csv_reader = csv.reader(f, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True)
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- # call next to skip header
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- next(csv_reader)
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- for id_, row in enumerate(csv_reader):
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- text, label = row
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- yield id_, {"text": text, "label": label}