system HF staff commited on
Commit
973a0d1
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

.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 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - found
4
+ language_creators:
5
+ - found
6
+ languages:
7
+ - tr
8
+ licenses:
9
+ - unknown
10
+ multilinguality:
11
+ - monolingual
12
+ size_categories:
13
+ - 10K<n<100K
14
+ source_datasets:
15
+ - original
16
+ task_categories:
17
+ - text_classification
18
+ task_ids:
19
+ - sentiment-classification
20
+ - sentiment-scoring
21
+ ---
22
+
23
+ # Dataset Card for TurkishMovieSentiment: This dataset contains turkish movie reviews.
24
+
25
+ ## Table of Contents
26
+ - [Dataset Description](#dataset-description)
27
+ - [Dataset Summary](#dataset-summary)
28
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
29
+ - [Languages](#languages)
30
+ - [Dataset Structure](#dataset-structure)
31
+ - [Data Instances](#data-instances)
32
+ - [Data Fields](#data-instances)
33
+ - [Data Splits](#data-instances)
34
+ - [Dataset Creation](#dataset-creation)
35
+ - [Curation Rationale](#curation-rationale)
36
+ - [Source Data](#source-data)
37
+ - [Annotations](#annotations)
38
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
39
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
40
+ - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-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:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
50
+ - **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/)
51
+
52
+ ### Dataset Summary
53
+
54
+ This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.
55
+
56
+ ### Languages
57
+
58
+ The dataset is based on Turkish.
59
+
60
+ ## Dataset Structure
61
+
62
+ ### Data Instances
63
+
64
+ **Example 1:**
65
+
66
+ **Comment:** Jean Reno denince zaten leon filmi gelir akla izlemeyen kalmamıştır ama kaldıysada ee ne duruyorsun hemen izle :),
67
+
68
+ **Film_name:** Sevginin Gücü,
69
+
70
+ **Point:** 5,0
71
+
72
+ **Example 2:**
73
+
74
+ **Comment:** Bence güzel bi film olmush.İzlenmeli.İnsana şükretmek gerektini hatırlatıyor.Ama cok da poh pohlanacak bi sey yapmamıslar,
75
+
76
+ **Film_name:** Cinderella Man,
77
+
78
+ **Point:** 2,5
79
+
80
+ ### Data Fields
81
+
82
+ - **comment**(string) : Contatins turkish movie review
83
+ - **film_name**(string) : Film name in Turkish.
84
+ - **point**(float) : [0-5] floating point
85
+
86
+ ### Data Splits
87
+
88
+ It is not divided into Train set and Test set.
89
+
90
+ ## Dataset Creation
91
+
92
+ ### Curation Rationale
93
+
94
+ [More Information Needed]
95
+
96
+ ### Source Data
97
+
98
+ [More Information Needed]
99
+
100
+ #### Initial Data Collection and Normalization
101
+
102
+ [More Information Needed]
103
+
104
+ #### Who are the source language producers?
105
+
106
+ [More Information Needed]
107
+
108
+ ### Annotations
109
+
110
+ The dataset does not contain any additional annotations.
111
+
112
+ #### Annotation process
113
+
114
+ [More Information Needed]
115
+
116
+ #### Who are the annotators?
117
+
118
+ [More Information Needed]
119
+
120
+ ### Personal and Sensitive Information
121
+
122
+ [More Information Needed]
123
+
124
+ ## Considerations for Using the Data
125
+
126
+ ### Discussion of Social Impact and Biases
127
+
128
+ [More Information Needed]
129
+
130
+ ### Other Known Limitations
131
+
132
+ [More Information Needed]
133
+
134
+ ## Additional Information
135
+
136
+ ### Dataset Curators
137
+
138
+ The dataset was created by [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/).
139
+
140
+ ### Licensing Information
141
+
142
+ The data is under the [CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/)
143
+
144
+ ### Citation Information
145
+
146
+ [More Information Needed]
dataset_infos.json ADDED
@@ -0,0 +1 @@
 
1
+ {"default": {"description": "This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.\n", "citation": "", "homepage": "https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset", "license": "CC0: Public Domain", "features": {"point": {"dtype": "float32", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "film_name": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "turkish_movie_sentiment", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 33954560, "num_examples": 83227, "dataset_name": "turkish_movie_sentiment"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 33954560, "size_in_bytes": 33954560}}
dummy/turkishmoviesentiment/1.0.0/dummy_data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc5ed38f57f22cc6facf0fad1ea0c30846a422cb006d499f4001a7c7051c6301
3
+ size 3034
turkish_movie_sentiment.py ADDED
@@ -0,0 +1,118 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ # Lint as: python3
16
+ """TurkishMovieSentiment: This dataset contains turkish movie reviews."""
17
+
18
+ from __future__ import absolute_import, division, print_function
19
+
20
+ import csv
21
+ import logging
22
+ import os
23
+
24
+ import datasets
25
+
26
+
27
+ _DESCRIPTION = """\
28
+ This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.
29
+ """
30
+
31
+ _CITATION = ""
32
+ _LICENSE = "CC0: Public Domain"
33
+ _HOMEPAGE = "https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset"
34
+ _FILENAME = "turkish_movie_sentiment_dataset.csv"
35
+
36
+
37
+ class TurkishMovieSentimentConfig(datasets.BuilderConfig):
38
+ """BuilderConfig for TurkishMovieSentiment"""
39
+
40
+ def __init__(self, **kwargs):
41
+ """BuilderConfig for TurkishMovieSentiment.
42
+ Args:
43
+ **kwargs: keyword arguments forwarded to super.
44
+ """
45
+ super(TurkishMovieSentimentConfig, self).__init__(**kwargs)
46
+
47
+
48
+ class TurkishMovieSentiment(datasets.GeneratorBasedBuilder):
49
+ """TurkishMovieSentiment: This dataset contains turkish movie reviews."""
50
+
51
+ BUILDER_CONFIGS = [
52
+ TurkishMovieSentimentConfig(
53
+ name="turkishmoviesentiment",
54
+ version=datasets.Version("1.0.0"),
55
+ description="This dataset contains turkish movie reviews.",
56
+ ),
57
+ ]
58
+
59
+ @property
60
+ def manual_download_instructions(self):
61
+ return """\
62
+ You need to go to https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset,
63
+ and manually download the TurkishMovieSentiment. Once it is completed,
64
+ a file named archive.zip will be appeared in your Downloads folder
65
+ or whichever folder your browser chooses to save files to. You then have
66
+ to unzip the file and move turkish_movie_sentiment_dataset.csv under <path/to/folder>.
67
+ The <path/to/folder> can e.g. be "~/manual_data".
68
+ TurkishMovieSentiment can then be loaded using the following command `datasets.load_dataset("turkishmoviesentiment", data_dir="<path/to/folder>")`.
69
+ """
70
+
71
+ def _info(self):
72
+ return datasets.DatasetInfo(
73
+ description=_DESCRIPTION,
74
+ features=datasets.Features(
75
+ {
76
+ "point": datasets.Value("float32"),
77
+ "comment": datasets.Value("string"),
78
+ "film_name": datasets.Value("string"),
79
+ }
80
+ ),
81
+ supervised_keys=None,
82
+ # Homepage of the dataset for documentation
83
+ homepage=_HOMEPAGE,
84
+ # License for the dataset if available
85
+ license=_LICENSE,
86
+ # Citation for the dataset
87
+ citation=_CITATION,
88
+ )
89
+
90
+ def _split_generators(self, dl_manager):
91
+ """Returns SplitGenerators."""
92
+ path_to_manual_file = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
93
+ if not os.path.exists(path_to_manual_file):
94
+ raise FileNotFoundError(
95
+ "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('turkishmoviesentiment', data_dir=...)` that includes a file name {}. Manual download instructions: {})".format(
96
+ path_to_manual_file, _FILENAME, self.manual_download_instructions
97
+ )
98
+ )
99
+ return [
100
+ datasets.SplitGenerator(
101
+ name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(path_to_manual_file, _FILENAME)}
102
+ )
103
+ ]
104
+
105
+ def _generate_examples(self, filepath):
106
+ """Generate TurkishMovieSentiment examples."""
107
+ logging.info("⏳ Generating examples from = %s", filepath)
108
+ with open(filepath, encoding="utf-8") as f:
109
+ rdr = csv.reader(f, delimiter=",")
110
+ next(rdr)
111
+ rownum = 0
112
+ for row in rdr:
113
+ rownum += 1
114
+ yield rownum, {
115
+ "comment": row[0],
116
+ "film_name": row[1],
117
+ "point": row[2].replace(",", "."), # convert string to floating point ([0-5])
118
+ }