Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
albertvillanova HF staff commited on
Commit
9c043e5
1 Parent(s): 11b7417

Delete loading script

Browse files
Files changed (1) hide show
  1. banking77.py +0 -176
banking77.py DELETED
@@ -1,176 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
- """BANKING77 dataset."""
16
-
17
-
18
- import csv
19
- import warnings
20
-
21
- import datasets
22
- from datasets.tasks import TextClassification
23
-
24
-
25
- _CITATION = r"""\
26
- @inproceedings{Casanueva2020,
27
- author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
28
- title = {Efficient Intent Detection with Dual Sentence Encoders},
29
- year = {2020},
30
- month = {mar},
31
- note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
32
- url = {https://arxiv.org/abs/2003.04807},
33
- booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
34
- }
35
- """ # noqa: W605
36
-
37
- _DESCRIPTION = """\
38
- BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
39
- It comprises 13,083 customer service queries labeled with 77 intents.
40
- It focuses on fine-grained single-domain intent detection.
41
- """
42
-
43
- _HOMEPAGE = "https://github.com/PolyAI-LDN/task-specific-datasets"
44
-
45
- _LICENSE = "Creative Commons Attribution 4.0 International"
46
-
47
- _TRAIN_DOWNLOAD_URL = (
48
- "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/train.csv"
49
- )
50
- _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/test.csv"
51
-
52
-
53
- class Banking77(datasets.GeneratorBasedBuilder):
54
- """BANKING77 dataset."""
55
-
56
- VERSION = datasets.Version("1.1.0")
57
-
58
- def _info(self):
59
- warnings.warn(
60
- "Dataset 'banking77' is deprecated and will be deleted. Use 'PolyAI/banking77' instead.",
61
- FutureWarning,
62
- )
63
- features = datasets.Features(
64
- {
65
- "text": datasets.Value("string"),
66
- "label": datasets.features.ClassLabel(
67
- names=[
68
- "activate_my_card",
69
- "age_limit",
70
- "apple_pay_or_google_pay",
71
- "atm_support",
72
- "automatic_top_up",
73
- "balance_not_updated_after_bank_transfer",
74
- "balance_not_updated_after_cheque_or_cash_deposit",
75
- "beneficiary_not_allowed",
76
- "cancel_transfer",
77
- "card_about_to_expire",
78
- "card_acceptance",
79
- "card_arrival",
80
- "card_delivery_estimate",
81
- "card_linking",
82
- "card_not_working",
83
- "card_payment_fee_charged",
84
- "card_payment_not_recognised",
85
- "card_payment_wrong_exchange_rate",
86
- "card_swallowed",
87
- "cash_withdrawal_charge",
88
- "cash_withdrawal_not_recognised",
89
- "change_pin",
90
- "compromised_card",
91
- "contactless_not_working",
92
- "country_support",
93
- "declined_card_payment",
94
- "declined_cash_withdrawal",
95
- "declined_transfer",
96
- "direct_debit_payment_not_recognised",
97
- "disposable_card_limits",
98
- "edit_personal_details",
99
- "exchange_charge",
100
- "exchange_rate",
101
- "exchange_via_app",
102
- "extra_charge_on_statement",
103
- "failed_transfer",
104
- "fiat_currency_support",
105
- "get_disposable_virtual_card",
106
- "get_physical_card",
107
- "getting_spare_card",
108
- "getting_virtual_card",
109
- "lost_or_stolen_card",
110
- "lost_or_stolen_phone",
111
- "order_physical_card",
112
- "passcode_forgotten",
113
- "pending_card_payment",
114
- "pending_cash_withdrawal",
115
- "pending_top_up",
116
- "pending_transfer",
117
- "pin_blocked",
118
- "receiving_money",
119
- "Refund_not_showing_up",
120
- "request_refund",
121
- "reverted_card_payment?",
122
- "supported_cards_and_currencies",
123
- "terminate_account",
124
- "top_up_by_bank_transfer_charge",
125
- "top_up_by_card_charge",
126
- "top_up_by_cash_or_cheque",
127
- "top_up_failed",
128
- "top_up_limits",
129
- "top_up_reverted",
130
- "topping_up_by_card",
131
- "transaction_charged_twice",
132
- "transfer_fee_charged",
133
- "transfer_into_account",
134
- "transfer_not_received_by_recipient",
135
- "transfer_timing",
136
- "unable_to_verify_identity",
137
- "verify_my_identity",
138
- "verify_source_of_funds",
139
- "verify_top_up",
140
- "virtual_card_not_working",
141
- "visa_or_mastercard",
142
- "why_verify_identity",
143
- "wrong_amount_of_cash_received",
144
- "wrong_exchange_rate_for_cash_withdrawal",
145
- ]
146
- ),
147
- }
148
- )
149
- return datasets.DatasetInfo(
150
- description=_DESCRIPTION,
151
- features=features,
152
- supervised_keys=None,
153
- homepage=_HOMEPAGE,
154
- license=_LICENSE,
155
- citation=_CITATION,
156
- task_templates=[TextClassification(text_column="text", label_column="label")],
157
- )
158
-
159
- def _split_generators(self, dl_manager):
160
- """Returns SplitGenerators."""
161
- train_path = dl_manager.download(_TRAIN_DOWNLOAD_URL)
162
- test_path = dl_manager.download(_TEST_DOWNLOAD_URL)
163
- return [
164
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
165
- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
166
- ]
167
-
168
- def _generate_examples(self, filepath):
169
- """Yields examples as (key, example) tuples."""
170
- with open(filepath, encoding="utf-8") as f:
171
- csv_reader = csv.reader(f, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True)
172
- # call next to skip header
173
- next(csv_reader)
174
- for id_, row in enumerate(csv_reader):
175
- text, label = row
176
- yield id_, {"text": text, "label": label}