Datasets:

Task Categories: text-classification
Languages: English
Multilinguality: monolingual
Size Categories: 100K<n<1M
Language Creators: crowdsourced
Annotations Creators: crowdsourced
Source Datasets: original
Licenses: unknown
system commited on
Commit
0a6e041
0 Parent(s):

Update files from the datasets library (from 1.2.0)

Browse files

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

Files changed (5) hide show
  1. .gitattributes +27 -0
  2. README.md +152 -0
  3. app_reviews.py +83 -0
  4. dataset_infos.json +1 -0
  5. dummy/0.0.0/dummy_data.zip +3 -0
.gitattributes ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bin.* filter=lfs diff=lfs merge=lfs -text
5
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
6
+ *.ftz filter=lfs diff=lfs merge=lfs -text
7
+ *.gz filter=lfs diff=lfs merge=lfs -text
8
+ *.h5 filter=lfs diff=lfs merge=lfs -text
9
+ *.joblib filter=lfs diff=lfs merge=lfs -text
10
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
+ *.model filter=lfs diff=lfs merge=lfs -text
12
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
13
+ *.onnx filter=lfs diff=lfs merge=lfs -text
14
+ *.ot filter=lfs diff=lfs merge=lfs -text
15
+ *.parquet filter=lfs diff=lfs merge=lfs -text
16
+ *.pb filter=lfs diff=lfs merge=lfs -text
17
+ *.pt filter=lfs diff=lfs merge=lfs -text
18
+ *.pth filter=lfs diff=lfs merge=lfs -text
19
+ *.rar filter=lfs diff=lfs merge=lfs -text
20
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
21
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
22
+ *.tflite filter=lfs diff=lfs merge=lfs -text
23
+ *.tgz filter=lfs diff=lfs merge=lfs -text
24
+ *.xz filter=lfs diff=lfs merge=lfs -text
25
+ *.zip filter=lfs diff=lfs merge=lfs -text
26
+ *.zstandard filter=lfs diff=lfs merge=lfs -text
27
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,152 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - crowdsourced
4
+ language_creators:
5
+ - crowdsourced
6
+ languages:
7
+ - en
8
+ licenses:
9
+ - unknown
10
+ multilinguality:
11
+ - monolingual
12
+ size_categories:
13
+ - 100K<n<1M
14
+ source_datasets:
15
+ - original
16
+ task_categories:
17
+ - text-scoring
18
+ task_ids:
19
+ - sentiment-scoring
20
+ ---
21
+
22
+ # Dataset Card for [Dataset Name]
23
+
24
+ ## Table of Contents
25
+ - [Dataset Description](#dataset-description)
26
+ - [Dataset Summary](#dataset-summary)
27
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
28
+ - [Languages](#languages)
29
+ - [Dataset Structure](#dataset-structure)
30
+ - [Data Instances](#data-instances)
31
+ - [Data Fields](#data-fields)
32
+ - [Data Splits](#data-splits)
33
+ - [Dataset Creation](#dataset-creation)
34
+ - [Curation Rationale](#curation-rationale)
35
+ - [Source Data](#source-data)
36
+ - [Annotations](#annotations)
37
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
38
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
39
+ - [Social Impact of Dataset](#social-impact-of-dataset)
40
+ - [Discussion of Biases](#discussion-of-biases)
41
+ - [Other Known Limitations](#other-known-limitations)
42
+ - [Additional Information](#additional-information)
43
+ - [Dataset Curators](#dataset-curators)
44
+ - [Licensing Information](#licensing-information)
45
+ - [Citation Information](#citation-information)
46
+
47
+ ## Dataset Description
48
+
49
+ - **Homepage: [Home Page](https://github.com/sealuzh/user_quality)
50
+ - **Repository: [Repo Link](https://github.com/sealuzh/user_quality)
51
+ - **Paper: [Link](https://giograno.me/assets/pdf/workshop/wama17.pdf)
52
+ - **Leaderboard:
53
+ - **Point of Contact: [Darshan Gandhi](darshangandhi1151@gmail.com)
54
+
55
+ ### Dataset Summary
56
+
57
+ It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)
58
+
59
+ ### Supported Tasks and Leaderboards
60
+
61
+ The dataset we provide comprises 395 different apps from F-Droid repository, including code quality indicators of 629 versions of these
62
+ apps. It also encloses app reviews related to each of these versions, which have been automatically categorized classifying types of user feedback from a software maintenance and evolution perspective.
63
+
64
+ ### Languages
65
+
66
+ The dataset is a monolingual dataset which has the messages English.
67
+
68
+ ## Dataset Structure
69
+
70
+ ### Data Instances
71
+
72
+ The dataset consists of a message in English.
73
+
74
+ {'package_name': 'com.mantz_it.rfanalyzer',
75
+ 'review': "Great app! The new version now works on my Bravia Android TV which is great as it's right by my rooftop aerial cable. The scan feature would be useful...any ETA on when this will be available? Also the option to import a list of bookmarks e.g. from a simple properties file would be useful.",
76
+ 'date': 'October 12 2016',
77
+ 'star': 4}
78
+
79
+ ### Data Fields
80
+
81
+ * package_name : Name of the Software Application Package
82
+ * review : Message of the user
83
+ * date : date when the user posted the review
84
+ * star : rating provied by the user for the application
85
+
86
+ ### Data Splits
87
+
88
+ There is training data, with a total of : 288065
89
+
90
+ ## Dataset Creation
91
+
92
+ ### Curation Rationale
93
+
94
+ [More Information Needed]
95
+
96
+ ### Source Data
97
+
98
+ #### Initial Data Collection and Normalization
99
+
100
+ [More Information Needed]
101
+
102
+ #### Who are the source language producers?
103
+
104
+ [More Information Needed]
105
+
106
+ ### Annotations
107
+
108
+ #### Annotation process
109
+
110
+ [More Information Needed]
111
+
112
+ #### Who are the annotators?
113
+
114
+ [More Information Needed]
115
+
116
+ ### Personal and Sensitive Information
117
+
118
+ [More Information Needed]
119
+
120
+ ## Considerations for Using the Data
121
+
122
+ ### Social Impact of Dataset
123
+
124
+ With the help of this dataset one can try to understand more about software applications and what are the views and opinions of the users about them. This helps to understand more about which type of software applications are prefeered by the users and how do these applications facilitate the user to help them solve their problems and issues.
125
+
126
+ ### Discussion of Biases
127
+
128
+ The reviews are only for applications which are in the open-source software applications, the other sectors have not been considered here
129
+
130
+ ### Other Known Limitations
131
+
132
+ [More Information Needed]
133
+
134
+ ## Additional Information
135
+
136
+ ### Dataset Curators
137
+
138
+ Giovanni Grano - (University of Zurich), Sebastiano Panichella - (University of Zurich), Andrea di Sorbo - (University of Sannio)
139
+
140
+ ### Licensing Information
141
+
142
+ [More Information Needed]
143
+
144
+ ### Citation Information
145
+
146
+ @InProceedings{Zurich Open Repository and
147
+ Archive:dataset,
148
+ title = {Software Applications User Reviews},
149
+ authors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;
150
+ Panichella, Sebastiano},
151
+ year={2017}
152
+ }
app_reviews.py ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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
+
16
+ # Lint as: python3
17
+ """Software Applications User Reviews"""
18
+
19
+ from __future__ import absolute_import, division, print_function
20
+
21
+ import csv
22
+
23
+ import datasets
24
+
25
+
26
+ _DESCRIPTION = """\
27
+ It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)
28
+ """
29
+
30
+ _CITATION = """\
31
+ @InProceedings{Zurich Open Repository and
32
+ Archive:dataset,
33
+ title = {Software Applications User Reviews},
34
+ authors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;
35
+ Panichella, Sebastiano},
36
+ year={2017}
37
+ }
38
+ """
39
+
40
+ _TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/sealuzh/user_quality/master/csv_files/reviews.csv"
41
+
42
+
43
+ class AppReviews(datasets.GeneratorBasedBuilder):
44
+ """Software Application Reviews by Users."""
45
+
46
+ def _info(self):
47
+ return datasets.DatasetInfo(
48
+ description=_DESCRIPTION,
49
+ features=datasets.Features(
50
+ {
51
+ "package_name": datasets.Value("string"),
52
+ "review": datasets.Value("string"),
53
+ "date": datasets.Value("string"),
54
+ "star": datasets.Value("int8"),
55
+ }
56
+ ),
57
+ homepage="https://giograno.me/assets/pdf/workshop/wama17.pdf",
58
+ citation=_CITATION,
59
+ )
60
+
61
+ def _split_generators(self, dl_manager):
62
+ train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
63
+ return [
64
+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
65
+ ]
66
+
67
+ def _generate_examples(self, filepath):
68
+ """Generate Distaster Response Messages examples."""
69
+ with open(filepath, encoding="utf-8") as csv_file:
70
+ csv_reader = csv.reader(
71
+ csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
72
+ )
73
+ next(csv_reader, None)
74
+ for id_, row in enumerate(csv_reader):
75
+ row = row[1:5]
76
+ (package_name, review, date, star) = row
77
+
78
+ yield id_, {
79
+ "package_name": (package_name),
80
+ "review": (review),
81
+ "date": (date),
82
+ "star": int(star),
83
+ }
dataset_infos.json ADDED
@@ -0,0 +1 @@
 
1
+ {"default": {"description": "It is a large dataset of Android applications belonging to 23 differentapps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)\n", "citation": "@InProceedings{Zurich Open Repository and\nArchive:dataset,\ntitle = {Software Applications User Reviews},\nauthors={Grano, Giovanni; Di Sorbo, Andrea; Mercaldo, Francesco; Visaggio, Corrado A; Canfora, Gerardo;\nPanichella, Sebastiano},\nyear={2017}\n}\n", "homepage": "https://giograno.me/assets/pdf/workshop/wama17.pdf", "license": "", "features": {"package_name": {"dtype": "string", "id": null, "_type": "Value"}, "review": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "star": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "app_reviews", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32769079, "num_examples": 288065, "dataset_name": "app_reviews"}}, "download_checksums": {"https://raw.githubusercontent.com/sealuzh/user_quality/master/csv_files/reviews.csv": {"num_bytes": 42592679, "checksum": "6fdb54a7b17f4c886a9ef72dfa7380c7ead2cb2c0b416df9e152f9b48e53caf9"}}, "download_size": 42592679, "post_processing_size": null, "dataset_size": 32769079, "size_in_bytes": 75361758}}
dummy/0.0.0/dummy_data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6927e67ccdf951d3e409e3976b5fd83fabe8ac8c5990157dbe6d9e8f5623073a
3
+ size 917