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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
2
+ annotations_creators:
3
+ - crowdsourced
4
+ - expert-generated
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+ language_creators:
6
+ - crowdsourced
7
+ languages:
8
+ - en
9
+ licenses:
10
+ - unknown
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+ multilinguality:
12
+ - monolingual
13
+ size_categories:
14
+ - 10K<n<100K
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+ source_datasets:
16
+ - original
17
+ task_categories:
18
+ subtask-1:
19
+ - text-scoring
20
+ subtask-2:
21
+ - text-classification
22
+ task_ids:
23
+ subtask-1:
24
+ - text-scoring-other-funniness-score-prediction
25
+ subtask-2:
26
+ - text-classification-other-funnier-headline-identification
27
+ ---
28
+
29
+ # Dataset Card for [Dataset Name]
30
+
31
+ ## Table of Contents
32
+ - [Dataset Description](#dataset-description)
33
+ - [Dataset Summary](#dataset-summary)
34
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
35
+ - [Languages](#languages)
36
+ - [Dataset Structure](#dataset-structure)
37
+ - [Data Instances](#data-instances)
38
+ - [Data Fields](#data-instances)
39
+ - [Data Splits](#data-instances)
40
+ - [Dataset Creation](#dataset-creation)
41
+ - [Curation Rationale](#curation-rationale)
42
+ - [Source Data](#source-data)
43
+ - [Annotations](#annotations)
44
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
45
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
46
+ - [Social Impact of Dataset](#social-impact-of-dataset)
47
+ - [Discussion of Biases](#discussion-of-biases)
48
+ - [Other Known Limitations](#other-known-limitations)
49
+ - [Additional Information](#additional-information)
50
+ - [Dataset Curators](#dataset-curators)
51
+ - [Licensing Information](#licensing-information)
52
+ - [Citation Information](#citation-information)
53
+
54
+ ## Dataset Description
55
+
56
+ - **Homepage:**[Humicroedit](https://www.cs.rochester.edu/u/nhossain/humicroedit.html)
57
+ - **Repository:**
58
+ - **Paper:**["President Vows to Cut Taxes Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines.](http://cs.rochester.edu/~nhossain/humicroedit-naacl-19.pdf)
59
+ - **Leaderboard:**
60
+ - **Point of Contact:**[nhossain@cs.rochester.edu]
61
+
62
+ ### Dataset Summary
63
+
64
+ This is the task dataset for SemEval-2020 Task 7: Assessing Humor in Edited News Headlines.
65
+
66
+ ### Supported Tasks and Leaderboards
67
+
68
+ [Task Description Page](https://competitions.codalab.org/competitions/20970)
69
+
70
+ - Regression Task: In this task, given the original and the edited headline, the participant is required to predict the mean funniness of the edited headline. Success on this task is typically measured by achieving a *low* Mean Square Error.
71
+ - Predict the funnier of the two edited headlines: Given the original headline and two edited versions, the participant has to predict which edited version is the funnier of the two. Success on this task is typically measured by achieving a *high* accuracy.
72
+
73
+ ### Languages
74
+
75
+ English
76
+
77
+ ## Dataset Structure
78
+
79
+ ### Data Instances
80
+ For subtask-1, i.e Given the original and the edited headline, predict the mean funniness of the edited headline.
81
+ ```
82
+ {
83
+ 'id': 1183,
84
+ 'original': 'Kushner to visit <Mexico/> following latest trump tirades.',
85
+ 'edit': 'therapist',
86
+ 'grades': '33332',
87
+ 'meanGrade': 2.8
88
+ }
89
+ ```
90
+ For subtask-2, i.e Given the original headline and two edited versions, predict which edited version is the funnier of the two.
91
+ ```
92
+ {
93
+ 'id': 1183,
94
+ 'original1': 'Gene Cernan , Last <Astronaut/> on the Moon , Dies at 82',
95
+ 'edit1': 'Dancer',
96
+ 'grades1': '1113',
97
+ 'meanGrade1': 1.2,
98
+ 'original2': 'Gene Cernan , Last Astronaut on the Moon , <Dies/> at 82',
99
+ 'edit2': 'impregnated',
100
+ 'grades2': '30001',
101
+ 'meanGrade2': 0.8,
102
+ 'label': 1
103
+ }
104
+ ```
105
+
106
+ ### Data Fields
107
+ For subtask-1
108
+ - `id`: Unique identifier of an edited headline.
109
+ - `original`: The headline with replaced word(s) identified with the </> tag.
110
+ - `edit`: The new word which replaces the word marked in </> tag in the original field.
111
+ - `grades`: 'grades' are the concatenation of all the grades by different annotators.
112
+ - `mean` is the mean of all the judges scores.
113
+
114
+
115
+ For subtask-2
116
+ - `id`: Unique identifier of an edited headline.
117
+ - `original1`: The original headline with replaced word(s) identified with </> tag.
118
+ - `edit1`: The new word which replaces the word marked in </> tag in the `original1` field.
119
+ - `grades1`: The concatenation of all the grades annotated by different annotators for sentence1.
120
+ - `meanGrade1` is the mean of all the judges scores for sentence1.
121
+ - `original2`: The original headline with replaced word(s) identified with </> tag.
122
+ - `edit2`: The new word which replaces the word marked in </> tag in the `original1` field.
123
+ - `grades2`: The concatenation of all the grades annotated by different annotators for the sentence2.
124
+ - `meanGrade2` is the mean of all the judges scores for sentence2.
125
+ - `label` is 1 if sentence1 is more humourous than sentence2,
126
+ 2 if sentence 2 is more humorous than sentence1,
127
+ 0 if both the sentences are equally humorous
128
+
129
+ ### Data Splits
130
+ | Sub Task | Train | Dev | Test | Funlines|
131
+ | ----- | ------ | ---- | ---- |-----|
132
+ | Subtask-1:Regression | 9652 | 2419 | 3024| 8248 |
133
+ | Subtask-2: Funnier headline prediction| 9381 | 2355 | 2960| 1958 |
134
+
135
+ ## Dataset Creation
136
+
137
+ ### Curation Rationale
138
+
139
+ [More Information Needed]
140
+
141
+ ### Source Data
142
+
143
+ #### Initial Data Collection and Normalization
144
+
145
+ Crowd-sourced the data by gamifying it as on the website funlines.co. Players rate the headlines on a scale of 0-4.
146
+ Players are scored based on their editing and rating, and they
147
+ are ranked on the game’s leaderboard page.
148
+
149
+ #### Who are the source language producers?
150
+
151
+ [More Information Needed]
152
+
153
+ ### Annotations
154
+
155
+ #### Annotation process
156
+
157
+ [More Information Needed]
158
+
159
+ #### Who are the annotators?
160
+
161
+ [More Information Needed]
162
+
163
+ ### Personal and Sensitive Information
164
+
165
+ [More Information Needed]
166
+
167
+ ## Considerations for Using the Data
168
+
169
+ ### Social Impact of Dataset
170
+
171
+ [More Information Needed]
172
+
173
+ ### Discussion of Biases
174
+
175
+ [More Information Needed]
176
+
177
+ ### Other Known Limitations
178
+
179
+ [More Information Needed]
180
+
181
+ ## Additional Information
182
+
183
+ ### Dataset Curators
184
+
185
+ [More Information Needed]
186
+
187
+ ### Licensing Information
188
+
189
+ [More Information Needed]
190
+
191
+ ### Citation Information
192
+ ```
193
+ @article{hossain2019president,
194
+ title={" President Vows to Cut< Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines},
195
+ author={Hossain, Nabil and Krumm, John and Gamon, Michael},
196
+ journal={arXiv preprint arXiv:1906.00274},
197
+ year={2019}
198
+ }```
dataset_infos.json ADDED
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+ {"subtask-1": {"description": "This new dataset is designed to assess the funniness of edited news headlines.\n", "citation": "@article{hossain2019president,\n title={\" President Vows to Cut< Taxes> Hair\": Dataset and Analysis of Creative Text Editing for Humorous Headlines},\n author={Hossain, Nabil and Krumm, John and Gamon, Michael},\n journal={arXiv preprint arXiv:1906.00274},\n year={2019}\n}\n", "homepage": "https://www.cs.rochester.edu/u/nhossain/humicroedit.html", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "original": {"dtype": "string", "id": null, "_type": "Value"}, "edit": {"dtype": "string", "id": null, "_type": "Value"}, "grades": {"dtype": "string", "id": null, "_type": "Value"}, "meanGrade": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "humicroedit", "config_name": "subtask-1", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1058589, "num_examples": 9652, "dataset_name": "humicroedit"}, "test": {"name": "test", "num_bytes": 332113, "num_examples": 3024, "dataset_name": "humicroedit"}, "validation": {"name": "validation", "num_bytes": 269083, "num_examples": 2419, "dataset_name": "humicroedit"}, "funlines": {"name": "funlines", "num_bytes": 942376, "num_examples": 8248, "dataset_name": "humicroedit"}}, "download_checksums": {"https://cs.rochester.edu/u/nhossain/semeval-2020-task-7-dataset.zip": {"num_bytes": 1621456, "checksum": "12a6cbf28c8b698ad80be42a65ac867b57e4c71662eedab607805e167ba791ab"}}, "download_size": 1621456, "post_processing_size": null, "dataset_size": 2602161, "size_in_bytes": 4223617}, "subtask-2": {"description": "This new dataset is designed to assess the funniness of edited news headlines.\n", "citation": "@article{hossain2019president,\n title={\" President Vows to Cut< Taxes> Hair\": Dataset and Analysis of Creative Text Editing for Humorous Headlines},\n author={Hossain, Nabil and Krumm, John and Gamon, Michael},\n journal={arXiv preprint arXiv:1906.00274},\n year={2019}\n}\n", "homepage": "https://www.cs.rochester.edu/u/nhossain/humicroedit.html", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "original1": {"dtype": "string", "id": null, "_type": "Value"}, "edit1": {"dtype": "string", "id": null, "_type": "Value"}, "grades1": {"dtype": "string", "id": null, "_type": "Value"}, "meanGrade1": {"dtype": "float32", "id": null, "_type": "Value"}, "original2": {"dtype": "string", "id": null, "_type": "Value"}, "edit2": {"dtype": "string", "id": null, "_type": "Value"}, "grades2": {"dtype": "string", "id": null, "_type": "Value"}, "meanGrade2": {"dtype": "float32", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["equal", "sentence1", "sentence2"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "humicroedit", "config_name": "subtask-2", "version": "0.0.0", "splits": {"train": {"name": "train", "num_bytes": 2102667, "num_examples": 9381, "dataset_name": "humicroedit"}, "test": {"name": "test", "num_bytes": 665087, "num_examples": 2960, "dataset_name": "humicroedit"}, "validation": {"name": "validation", "num_bytes": 535044, "num_examples": 2355, "dataset_name": "humicroedit"}, "funlines": {"name": "funlines", "num_bytes": 451416, "num_examples": 1958, "dataset_name": "humicroedit"}}, "download_checksums": {"https://cs.rochester.edu/u/nhossain/semeval-2020-task-7-dataset.zip": {"num_bytes": 1621456, "checksum": "12a6cbf28c8b698ad80be42a65ac867b57e4c71662eedab607805e167ba791ab"}}, "download_size": 1621456, "post_processing_size": null, "dataset_size": 3754214, "size_in_bytes": 5375670}}
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humicroedit.py ADDED
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+ # 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
+ """This is humorous headline dataset called Humicroedit introduced in the Task-7 of SemEval 2020."""
16
+
17
+ from __future__ import absolute_import, division, print_function
18
+
19
+ import csv
20
+ import os
21
+
22
+ import datasets
23
+
24
+
25
+ _CITATION = """\
26
+ @article{hossain2019president,
27
+ title={" President Vows to Cut< Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines},
28
+ author={Hossain, Nabil and Krumm, John and Gamon, Michael},
29
+ journal={arXiv preprint arXiv:1906.00274},
30
+ year={2019}
31
+ }
32
+ """
33
+
34
+ _DESCRIPTION = """\
35
+ This new dataset is designed to assess the funniness of edited news headlines.
36
+ """
37
+
38
+ _HOMEPAGE = "https://www.cs.rochester.edu/u/nhossain/humicroedit.html"
39
+ _LICENSE = ""
40
+
41
+ _URL = "https://cs.rochester.edu/u/nhossain/semeval-2020-task-7-dataset.zip"
42
+
43
+
44
+ class Humicroedit(datasets.GeneratorBasedBuilder):
45
+ """This is humorous headline dataset called Humicroedit introduced in the Task-7 of SemEval 2020."""
46
+
47
+ VERSION = datasets.Version("1.1.0")
48
+
49
+ # This is an example of a dataset with multiple configurations.
50
+ # If you don't want/need to define several sub-sets in your dataset,
51
+ # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
52
+
53
+ # If you need to make complex sub-parts in the datasets with configurable options
54
+ # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
55
+ # BUILDER_CONFIG_CLASS = MyBuilderConfig
56
+
57
+ # You will be able to load one or the other configurations in the following list with
58
+ # data = datasets.load_dataset('my_dataset', 'first_domain')
59
+ # data = datasets.load_dataset('my_dataset', 'second_domain')
60
+ BUILDER_CONFIGS = [
61
+ datasets.BuilderConfig(name="subtask-1", description="This part of the dataset covers the data for subtask-1"),
62
+ datasets.BuilderConfig(name="subtask-2", description="This part of the dataset covers the data for subtask-2"),
63
+ ]
64
+
65
+ def _info(self):
66
+ if self.config.name == "subtask-1":
67
+ features = datasets.Features(
68
+ {
69
+ "id": datasets.Value("string"),
70
+ "original": datasets.Value("string"),
71
+ "edit": datasets.Value("string"),
72
+ "grades": datasets.Value("string"),
73
+ "meanGrade": datasets.Value("float"),
74
+ # These are the features of your dataset like images, labels ...
75
+ }
76
+ )
77
+ else:
78
+ features = datasets.Features(
79
+ {
80
+ "id": datasets.Value("string"),
81
+ "original1": datasets.Value("string"),
82
+ "edit1": datasets.Value("string"),
83
+ "grades1": datasets.Value("string"),
84
+ "meanGrade1": datasets.Value("float"),
85
+ "original2": datasets.Value("string"),
86
+ "edit2": datasets.Value("string"),
87
+ "grades2": datasets.Value("string"),
88
+ "meanGrade2": datasets.Value("float"),
89
+ "label": datasets.ClassLabel(names=["equal", "sentence1", "sentence2"]),
90
+ }
91
+ )
92
+ return datasets.DatasetInfo(
93
+ description=_DESCRIPTION,
94
+ features=features,
95
+ supervised_keys=None,
96
+ homepage=_HOMEPAGE,
97
+ license=_LICENSE,
98
+ citation=_CITATION,
99
+ )
100
+
101
+ def _split_generators(self, dl_manager):
102
+ """Returns SplitGenerators."""
103
+ data_dir = dl_manager.download_and_extract(_URL)
104
+ ROOT = "semeval-2020-task-7-dataset"
105
+
106
+ return [
107
+ datasets.SplitGenerator(
108
+ name=datasets.Split.TRAIN,
109
+ # These kwargs will be passed to _generate_examples
110
+ gen_kwargs={
111
+ "filepath": os.path.join(data_dir, ROOT, self.config.name, "train.csv"),
112
+ "split": "train",
113
+ },
114
+ ),
115
+ datasets.SplitGenerator(
116
+ name=datasets.Split.TEST,
117
+ # These kwargs will be passed to _generate_examples
118
+ gen_kwargs={"filepath": os.path.join(data_dir, ROOT, self.config.name, "test.csv"), "split": "test"},
119
+ ),
120
+ datasets.SplitGenerator(
121
+ name=datasets.Split.VALIDATION,
122
+ # These kwargs will be passed to _generate_examples
123
+ gen_kwargs={
124
+ "filepath": os.path.join(data_dir, ROOT, self.config.name, "dev.csv"),
125
+ "split": "dev",
126
+ },
127
+ ),
128
+ datasets.SplitGenerator(
129
+ name=datasets.Split("funlines"),
130
+ # These kwargs will be passed to _generate_examples
131
+ gen_kwargs={
132
+ "filepath": os.path.join(data_dir, ROOT, self.config.name, "train_funlines.csv"),
133
+ "split": "funlines",
134
+ },
135
+ ),
136
+ ]
137
+
138
+ def _generate_examples(self, filepath, split):
139
+ """ Yields examples. """
140
+ label_names = ["equal", "sentence1", "sentence2"]
141
+
142
+ with open(filepath, encoding="utf-8") as csv_file:
143
+ csv_reader = csv.reader(
144
+ csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
145
+ )
146
+ next(csv_reader)
147
+
148
+ for id_, row in enumerate(csv_reader):
149
+ if self.config.name == "subtask-1":
150
+ row_id, original, edit, grades, meanGrade = row
151
+ yield id_, {
152
+ "id": row_id,
153
+ "original": original,
154
+ "edit": edit,
155
+ "grades": grades,
156
+ "meanGrade": meanGrade,
157
+ }
158
+ else:
159
+ row_id, original1, edit1, grades1, meanGrade1, original2, edit2, grades2, meanGrade2, label = row
160
+ yield id_, {
161
+ "id": row_id,
162
+ "original1": original1,
163
+ "edit1": edit1,
164
+ "grades1": grades1,
165
+ "meanGrade1": meanGrade1,
166
+ "original2": original2,
167
+ "edit2": edit2,
168
+ "grades2": grades2,
169
+ "meanGrade2": meanGrade2,
170
+ "label": label_names[int(label)],
171
+ }