Datasets:
Tasks:
Text Classification
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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 datasets | |
_CITATION = """\ | |
@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): | |
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, | |
) | |
def _split_generators(self, dl_manager): | |
"""Returns SplitGenerators.""" | |
train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL) | |
test_path = dl_manager.download_and_extract(_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} | |