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Update files from the datasets library (from 1.6.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.6.0

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  1. .gitattributes +27 -0
  2. README.md +261 -0
  3. banking77.py +169 -0
  4. dataset_infos.json +1 -0
  5. dummy/1.1.0/dummy_data.zip +3 -0
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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1
+ ---
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+ annotations_creators:
3
+ - expert-generated
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+ extended:
5
+ - original
6
+ language_creators:
7
+ - expert-generated
8
+ languages:
9
+ - en
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+ licenses:
11
+ - cc-by-4-0
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+ multilinguality:
13
+ - monolingual
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+ size_categories:
15
+ - 10K<n<100K
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+ source_datasets:
17
+ - original
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+ task_categories:
19
+ - text-classification
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+ task_ids:
21
+ - intent-classification
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+ - multi-class-classification
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+ ---
24
+
25
+ # Dataset Card for BANKING77
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+
27
+ ## Table of Contents
28
+ - [Dataset Card for BANKING77](#dataset-card-for-dataset-name)
29
+ - [Table of Contents](#table-of-contents)
30
+ - [Dataset Description](#dataset-description)
31
+ - [Dataset Summary](#dataset-summary)
32
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
33
+ - [Languages](#languages)
34
+ - [Dataset Structure](#dataset-structure)
35
+ - [Data Instances](#data-instances)
36
+ - [Data Fields](#data-fields)
37
+ - [Data Splits](#data-splits)
38
+ - [Dataset Creation](#dataset-creation)
39
+ - [Curation Rationale](#curation-rationale)
40
+ - [Source Data](#source-data)
41
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
42
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
43
+ - [Annotations](#annotations)
44
+ - [Annotation process](#annotation-process)
45
+ - [Who are the annotators?](#who-are-the-annotators)
46
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
47
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
48
+ - [Social Impact of Dataset](#social-impact-of-dataset)
49
+ - [Discussion of Biases](#discussion-of-biases)
50
+ - [Other Known Limitations](#other-known-limitations)
51
+ - [Additional Information](#additional-information)
52
+ - [Dataset Curators](#dataset-curators)
53
+ - [Licensing Information](#licensing-information)
54
+ - [Citation Information](#citation-information)
55
+ - [Contributions](#contributions)
56
+
57
+ ## Dataset Description
58
+
59
+ - **Homepage:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
60
+ - **Repository:** [Github](https://github.com/PolyAI-LDN/task-specific-datasets)
61
+ - **Paper:** [ArXiv](https://arxiv.org/abs/2003.04807)
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+ - **Leaderboard:**
63
+ - **Point of Contact:**
64
+
65
+ ### Dataset Summary
66
+
67
+ Dataset composed of online banking queries annotated with their corresponding intents.
68
+
69
+ BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
70
+ It comprises 13,083 customer service queries labeled with 77 intents.
71
+ It focuses on fine-grained single-domain intent detection.
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ Intent classification, intent detection
76
+
77
+ ### Languages
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+
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+ English
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+
81
+ ## Dataset Structure
82
+
83
+ ### Data Instances
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+
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+ An example of 'train' looks as follows:
86
+ ```
87
+ {
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+ 'label': 11, # integer label corresponding to "card_arrival" intent
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+ 'text': 'I am still waiting on my card?'
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `text`: a string feature.
96
+ - `label`: One of classification labels (0-76) corresponding to unique intents.
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+
98
+ Intent names are mapped to `label` in the following way:
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+
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+ | label | intent (category) |
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+ |---:|:-------------------------------------------------|
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+ | 0 | activate_my_card |
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+ | 1 | age_limit |
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+ | 2 | apple_pay_or_google_pay |
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+ | 3 | atm_support |
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+ | 4 | automatic_top_up |
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+ | 5 | balance_not_updated_after_bank_transfer |
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+ | 6 | balance_not_updated_after_cheque_or_cash_deposit |
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+ | 7 | beneficiary_not_allowed |
110
+ | 8 | cancel_transfer |
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+ | 9 | card_about_to_expire |
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+ | 10 | card_acceptance |
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+ | 11 | card_arrival |
114
+ | 12 | card_delivery_estimate |
115
+ | 13 | card_linking |
116
+ | 14 | card_not_working |
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+ | 15 | card_payment_fee_charged |
118
+ | 16 | card_payment_not_recognised |
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+ | 17 | card_payment_wrong_exchange_rate |
120
+ | 18 | card_swallowed |
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+ | 19 | cash_withdrawal_charge |
122
+ | 20 | cash_withdrawal_not_recognised |
123
+ | 21 | change_pin |
124
+ | 22 | compromised_card |
125
+ | 23 | contactless_not_working |
126
+ | 24 | country_support |
127
+ | 25 | declined_card_payment |
128
+ | 26 | declined_cash_withdrawal |
129
+ | 27 | declined_transfer |
130
+ | 28 | direct_debit_payment_not_recognised |
131
+ | 29 | disposable_card_limits |
132
+ | 30 | edit_personal_details |
133
+ | 31 | exchange_charge |
134
+ | 32 | exchange_rate |
135
+ | 33 | exchange_via_app |
136
+ | 34 | extra_charge_on_statement |
137
+ | 35 | failed_transfer |
138
+ | 36 | fiat_currency_support |
139
+ | 37 | get_disposable_virtual_card |
140
+ | 38 | get_physical_card |
141
+ | 39 | getting_spare_card |
142
+ | 40 | getting_virtual_card |
143
+ | 41 | lost_or_stolen_card |
144
+ | 42 | lost_or_stolen_phone |
145
+ | 43 | order_physical_card |
146
+ | 44 | passcode_forgotten |
147
+ | 45 | pending_card_payment |
148
+ | 46 | pending_cash_withdrawal |
149
+ | 47 | pending_top_up |
150
+ | 48 | pending_transfer |
151
+ | 49 | pin_blocked |
152
+ | 50 | receiving_money |
153
+ | 51 | Refund_not_showing_up |
154
+ | 52 | request_refund |
155
+ | 53 | reverted_card_payment? |
156
+ | 54 | supported_cards_and_currencies |
157
+ | 55 | terminate_account |
158
+ | 56 | top_up_by_bank_transfer_charge |
159
+ | 57 | top_up_by_card_charge |
160
+ | 58 | top_up_by_cash_or_cheque |
161
+ | 59 | top_up_failed |
162
+ | 60 | top_up_limits |
163
+ | 61 | top_up_reverted |
164
+ | 62 | topping_up_by_card |
165
+ | 63 | transaction_charged_twice |
166
+ | 64 | transfer_fee_charged |
167
+ | 65 | transfer_into_account |
168
+ | 66 | transfer_not_received_by_recipient |
169
+ | 67 | transfer_timing |
170
+ | 68 | unable_to_verify_identity |
171
+ | 69 | verify_my_identity |
172
+ | 70 | verify_source_of_funds |
173
+ | 71 | verify_top_up |
174
+ | 72 | virtual_card_not_working |
175
+ | 73 | visa_or_mastercard |
176
+ | 74 | why_verify_identity |
177
+ | 75 | wrong_amount_of_cash_received |
178
+ | 76 | wrong_exchange_rate_for_cash_withdrawal |
179
+
180
+ ### Data Splits
181
+
182
+ | Dataset statistics | Train | Test |
183
+ | --- | --- | --- |
184
+ | Number of examples | 10 003 | 3 080 |
185
+ | Average character length | 59.5 | 54.2 |
186
+ | Number of intents | 77 | 77 |
187
+ | Number of domains | 1 | 1 |
188
+
189
+ ## Dataset Creation
190
+
191
+ ### Curation Rationale
192
+
193
+ Previous intent detection datasets such as Web Apps, Ask Ubuntu, the Chatbot Corpus or SNIPS are limited to small number of classes (<10), which oversimplifies the intent detection task and does not emulate the true environment of commercial systems. Although there exist large scale *multi-domain* datasets ([HWU64](https://github.com/xliuhw/NLU-Evaluation-Data) and [CLINC150](https://github.com/clinc/oos-eval)), the examples per each domain may not sufficiently capture the full complexity of each domain as encountered "in the wild". This dataset tries to fill the gap and provides a very fine-grained set of intents in a *single-domain* i.e. **banking**. Its focus on fine-grained single-domain intent detection makes it complementary to the other two multi-domain datasets.
194
+
195
+ ### Source Data
196
+
197
+ #### Initial Data Collection and Normalization
198
+
199
+ [More Information Needed]
200
+
201
+ #### Who are the source language producers?
202
+
203
+ [More Information Needed]
204
+
205
+ ### Annotations
206
+
207
+ #### Annotation process
208
+
209
+ The dataset does not contain any additional annotations.
210
+
211
+ #### Who are the annotators?
212
+
213
+ [N/A]
214
+
215
+ ### Personal and Sensitive Information
216
+
217
+ [N/A]
218
+
219
+ ## Considerations for Using the Data
220
+
221
+ ### Social Impact of Dataset
222
+
223
+ The purpose of this dataset it to help develop better intent detection systems.
224
+
225
+ Any comprehensive intent detection evaluation should involve both coarser-grained multi-domain datasets and a fine-grained single-domain dataset such as BANKING77.
226
+
227
+ ### Discussion of Biases
228
+
229
+ [More Information Needed]
230
+
231
+ ### Other Known Limitations
232
+
233
+ [More Information Needed]
234
+
235
+ ## Additional Information
236
+
237
+ ### Dataset Curators
238
+
239
+ [PolyAI](https://github.com/PolyAI-LDN)
240
+
241
+ ### Licensing Information
242
+
243
+ Creative Commons Attribution 4.0 International
244
+
245
+ ### Citation Information
246
+
247
+ ```
248
+ @inproceedings{Casanueva2020,
249
+ author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
250
+ title = {Efficient Intent Detection with Dual Sentence Encoders},
251
+ year = {2020},
252
+ month = {mar},
253
+ note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
254
+ url = {https://arxiv.org/abs/2003.04807},
255
+ booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
256
+ }
257
+ ```
258
+
259
+ ### Contributions
260
+
261
+ Thanks to [@dkajtoch](https://github.com/dkajtoch) for adding this dataset.
banking77.py ADDED
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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
+
20
+ import datasets
21
+
22
+
23
+ _CITATION = """\
24
+ @inproceedings{Casanueva2020,
25
+ author = {I{\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},
26
+ title = {Efficient Intent Detection with Dual Sentence Encoders},
27
+ year = {2020},
28
+ month = {mar},
29
+ note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},
30
+ url = {https://arxiv.org/abs/2003.04807},
31
+ booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}
32
+ }
33
+ """ # noqa: W605
34
+
35
+ _DESCRIPTION = """\
36
+ BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
37
+ It comprises 13,083 customer service queries labeled with 77 intents.
38
+ It focuses on fine-grained single-domain intent detection.
39
+ """
40
+
41
+ _HOMEPAGE = "https://github.com/PolyAI-LDN/task-specific-datasets"
42
+
43
+ _LICENSE = "Creative Commons Attribution 4.0 International"
44
+
45
+ _TRAIN_DOWNLOAD_URL = (
46
+ "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/train.csv"
47
+ )
48
+ _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/test.csv"
49
+
50
+
51
+ class Banking77(datasets.GeneratorBasedBuilder):
52
+ """BANKING77 dataset."""
53
+
54
+ VERSION = datasets.Version("1.1.0")
55
+
56
+ def _info(self):
57
+ features = datasets.Features(
58
+ {
59
+ "text": datasets.Value("string"),
60
+ "label": datasets.features.ClassLabel(
61
+ names=[
62
+ "activate_my_card",
63
+ "age_limit",
64
+ "apple_pay_or_google_pay",
65
+ "atm_support",
66
+ "automatic_top_up",
67
+ "balance_not_updated_after_bank_transfer",
68
+ "balance_not_updated_after_cheque_or_cash_deposit",
69
+ "beneficiary_not_allowed",
70
+ "cancel_transfer",
71
+ "card_about_to_expire",
72
+ "card_acceptance",
73
+ "card_arrival",
74
+ "card_delivery_estimate",
75
+ "card_linking",
76
+ "card_not_working",
77
+ "card_payment_fee_charged",
78
+ "card_payment_not_recognised",
79
+ "card_payment_wrong_exchange_rate",
80
+ "card_swallowed",
81
+ "cash_withdrawal_charge",
82
+ "cash_withdrawal_not_recognised",
83
+ "change_pin",
84
+ "compromised_card",
85
+ "contactless_not_working",
86
+ "country_support",
87
+ "declined_card_payment",
88
+ "declined_cash_withdrawal",
89
+ "declined_transfer",
90
+ "direct_debit_payment_not_recognised",
91
+ "disposable_card_limits",
92
+ "edit_personal_details",
93
+ "exchange_charge",
94
+ "exchange_rate",
95
+ "exchange_via_app",
96
+ "extra_charge_on_statement",
97
+ "failed_transfer",
98
+ "fiat_currency_support",
99
+ "get_disposable_virtual_card",
100
+ "get_physical_card",
101
+ "getting_spare_card",
102
+ "getting_virtual_card",
103
+ "lost_or_stolen_card",
104
+ "lost_or_stolen_phone",
105
+ "order_physical_card",
106
+ "passcode_forgotten",
107
+ "pending_card_payment",
108
+ "pending_cash_withdrawal",
109
+ "pending_top_up",
110
+ "pending_transfer",
111
+ "pin_blocked",
112
+ "receiving_money",
113
+ "Refund_not_showing_up",
114
+ "request_refund",
115
+ "reverted_card_payment?",
116
+ "supported_cards_and_currencies",
117
+ "terminate_account",
118
+ "top_up_by_bank_transfer_charge",
119
+ "top_up_by_card_charge",
120
+ "top_up_by_cash_or_cheque",
121
+ "top_up_failed",
122
+ "top_up_limits",
123
+ "top_up_reverted",
124
+ "topping_up_by_card",
125
+ "transaction_charged_twice",
126
+ "transfer_fee_charged",
127
+ "transfer_into_account",
128
+ "transfer_not_received_by_recipient",
129
+ "transfer_timing",
130
+ "unable_to_verify_identity",
131
+ "verify_my_identity",
132
+ "verify_source_of_funds",
133
+ "verify_top_up",
134
+ "virtual_card_not_working",
135
+ "visa_or_mastercard",
136
+ "why_verify_identity",
137
+ "wrong_amount_of_cash_received",
138
+ "wrong_exchange_rate_for_cash_withdrawal",
139
+ ]
140
+ ),
141
+ }
142
+ )
143
+ return datasets.DatasetInfo(
144
+ description=_DESCRIPTION,
145
+ features=features,
146
+ supervised_keys=None,
147
+ homepage=_HOMEPAGE,
148
+ license=_LICENSE,
149
+ citation=_CITATION,
150
+ )
151
+
152
+ def _split_generators(self, dl_manager):
153
+ """Returns SplitGenerators."""
154
+ train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
155
+ test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
156
+ return [
157
+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
158
+ datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
159
+ ]
160
+
161
+ def _generate_examples(self, filepath):
162
+ """ Yields examples as (key, example) tuples. """
163
+ with open(filepath, encoding="utf-8") as f:
164
+ csv_reader = csv.reader(f, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True)
165
+ # call next to skip header
166
+ next(csv_reader)
167
+ for id_, row in enumerate(csv_reader):
168
+ text, label = row
169
+ yield id_, {"text": text, "label": label}
dataset_infos.json ADDED
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+ {"default": {"description": "BANKING77 dataset provides a very fine-grained set of intents in a banking domain.\nIt comprises 13,083 customer service queries labeled with 77 intents.\nIt focuses on fine-grained single-domain intent detection.\n", "citation": "@inproceedings{Casanueva2020,\n author = {I{\\~{n}}igo Casanueva and Tadas Temcinas and Daniela Gerz and Matthew Henderson and Ivan Vulic},\n title = {Efficient Intent Detection with Dual Sentence Encoders},\n year = {2020},\n month = {mar},\n note = {Data available at https://github.com/PolyAI-LDN/task-specific-datasets},\n url = {https://arxiv.org/abs/2003.04807},\n booktitle = {Proceedings of the 2nd Workshop on NLP for ConvAI - ACL 2020}\n}\n", "homepage": "https://github.com/PolyAI-LDN/task-specific-datasets", "license": "Creative Commons Attribution 4.0 International", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 77, "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"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "banking77", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 715036, "num_examples": 10003, "dataset_name": "banking77"}, "test": {"name": "test", "num_bytes": 204014, "num_examples": 3080, "dataset_name": "banking77"}}, "download_checksums": {"https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/train.csv": {"num_bytes": 839073, "checksum": "b06e26ac675513959a63135f11b94ea7786ed02da65db93a5650d8838cbc664b"}, "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/master/banking_data/test.csv": {"num_bytes": 239961, "checksum": "d12d6e3bc4c3103966ae786dc435913c0c563dfa328f5a3646d0e62cfeeb474d"}}, "download_size": 1079034, "post_processing_size": null, "dataset_size": 919050, "size_in_bytes": 1998084}}
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