system HF staff commited on
Commit
87c8da2
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 +1,145 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - 100k<n<1M
14
+ source_datasets:
15
+ - original
16
+ task_categories:
17
+ - text_classification
18
+ task_ids:
19
+ - text_classification-other-news-category-classification
20
+ ---
21
+
22
+ # Dataset Card for TTC4900: A Benchmark Data for Turkish Text Categorization
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-instances)
32
+ - [Data Splits](#data-instances)
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
+ - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-biases)
40
+ - [Other Known Limitations](#other-known-limitations)
41
+ - [Additional Information](#additional-information)
42
+ - [Dataset Curators](#dataset-curators)
43
+ - [Licensing Information](#licensing-information)
44
+ - [Citation Information](#citation-information)
45
+
46
+ ## Dataset Description
47
+
48
+ - **Homepage:** [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
49
+ - **Point of Contact:** [ Avatar
50
+ Savaş Yıldırım](mailto:[email protected])
51
+
52
+ ### Dataset Summary
53
+
54
+ The data set is taken from [kemik group](http://www.kemik.yildiz.edu.tr/)
55
+
56
+ The data are pre-processed (noun phrase chunking etc.) for the text categorization problem by the study ["A Knowledge-poor Approach to Turkish Text Categorization with a Comparative Analysis, Proceedings of CICLING 2014, Springer LNCS, Nepal, 2014"](https://link.springer.com/chapter/10.1007/978-3-642-54903-8_36)
57
+
58
+ ### Languages
59
+
60
+ The dataset is based on Turkish.
61
+
62
+ ## Dataset Structure
63
+
64
+ ### Data Instances
65
+
66
+ A text classification dataset with 7 different news category.
67
+
68
+ Here is an example from the dataset:
69
+
70
+ ```
71
+ {
72
+ "category": 0, # politics/siyaset
73
+ "text": "paris teki infaz imralı ile başlayan sürece bir darbe mi elif_çakır ın sunduğu söz_bitmeden in bugünkü konuğu gazeteci melih altınok oldu programdan satıbaşları imralı ile görüşmeler hangi aşamada bundan sonra ne olacak hangi kesimler sürece engel oluyor psikolojik mayınlar neler türk solu bu dönemde evrensel sorumluluğunu yerine getirebiliyor mu elif_çakır sordu melih altınok söz_bitmeden de yanıtladı elif_çakır pkk nın silahsızlandırılmasına yönelik olarak öcalan ile görüşme sonrası 3 kadının infazı enteresan çünkü kurucu isimlerden birisi sen nasıl okudun bu infazı melih altınok herkesin ciddi anlamda şüpheleri var şu an yürüttüğümüz herşey bir delile dayanmadığı için komple teorisinden ibaret kalacak ama şöyle bir durum var imralı görüşmelerin ilk defa bir siyasi iktidar tarafından açıkça söylendiği bir dönem ardından geliyor bu sürecin gerçekleşmemesini isteyen kesimler yaptırmıştır dedi"
74
+ }
75
+ ```
76
+
77
+
78
+ ### Data Fields
79
+
80
+ - **category** : Indicates to which category the news text belongs.
81
+ (Such as "politics", "world", "economy", "culture", "health", "sports", "technology".)
82
+ - **text** : Contains the text of the news.
83
+
84
+ ### Data Splits
85
+
86
+ It is not divided into Train set and Test set.
87
+
88
+ ## Dataset Creation
89
+
90
+ ### Curation Rationale
91
+
92
+ [More Information Needed]
93
+
94
+ ### Source Data
95
+
96
+ [More Information Needed]
97
+
98
+ #### Initial Data Collection and Normalization
99
+
100
+ The data are pre-processed for the text categorization, collocations are found, character set is corrected, and so forth.
101
+
102
+
103
+ #### Who are the source language producers?
104
+
105
+ Turkish online news sites.
106
+
107
+ ### Annotations
108
+
109
+ The dataset does not contain any additional annotations.
110
+
111
+ #### Annotation process
112
+
113
+ [More Information Needed]
114
+
115
+ #### Who are the annotators?
116
+
117
+ [More Information Needed]
118
+
119
+ ### Personal and Sensitive Information
120
+
121
+ [More Information Needed]
122
+
123
+ ## Considerations for Using the Data
124
+
125
+ ### Discussion of Social Impact and Biases
126
+
127
+ [More Information Needed]
128
+
129
+ ### Other Known Limitations
130
+
131
+ [More Information Needed]
132
+
133
+ ## Additional Information
134
+
135
+ ### Dataset Curators
136
+
137
+ [More Information Needed]
138
+
139
+ ### Licensing Information
140
+
141
+ [More Information Needed]
142
+
143
+ ### Citation Information
144
+
145
+ [More Information Needed]
dataset_infos.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default": {"description": "The data set is taken from kemik group\nhttp://www.kemik.yildiz.edu.tr/\nThe data are pre-processed for the text categorization, collocations are found, character set is corrected, and so forth.\nWe named TTC4900 by mimicking the name convention of TTC 3600 dataset shared by the study http://journals.sagepub.com/doi/abs/10.1177/0165551515620551\n", "citation": "", "homepage": "https://www.kaggle.com/savasy/ttc4900", "license": "CC0: Public Domain", "features": {"category": {"num_classes": 7, "names": ["siyaset", "dunya", "ekonomi", "kultur", "saglik", "spor", "teknoloji"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tt_c4900", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10640831, "num_examples": 4900, "dataset_name": "tt_c4900"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 10640831, "size_in_bytes": 10640831}, "ttc4900": {"description": "The data set is taken from kemik group\nhttp://www.kemik.yildiz.edu.tr/\nThe data are pre-processed for the text categorization, collocations are found, character set is corrected, and so forth.\nWe named TTC4900 by mimicking the name convention of TTC 3600 dataset shared by the study http://journals.sagepub.com/doi/abs/10.1177/0165551515620551\n", "citation": "", "homepage": "https://www.kaggle.com/savasy/ttc4900", "license": "CC0: Public Domain", "features": {"category": {"num_classes": 7, "names": ["siyaset", "dunya", "ekonomi", "kultur", "saglik", "spor", "teknoloji"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tt_c4900", "config_name": "ttc4900", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10640831, "num_examples": 4900, "dataset_name": "tt_c4900"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 10640831, "size_in_bytes": 10640831}}
dummy/ttc4900/1.0.0/dummy_data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:129948a1e8f21bcfc7ce6e012c36300abc5f9c8410fb9bddf89c2e5f85b2e9f6
3
+ size 13855
ttc4900.py ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ """TTC4900: A Benchmark Data for Turkish Text Categorization"""
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
+ The data set is taken from kemik group
29
+ http://www.kemik.yildiz.edu.tr/
30
+ The data are pre-processed for the text categorization, collocations are found, character set is corrected, and so forth.
31
+ We named TTC4900 by mimicking the name convention of TTC 3600 dataset shared by the study http://journals.sagepub.com/doi/abs/10.1177/0165551515620551
32
+ """
33
+
34
+ _CITATION = ""
35
+ _LICENSE = "CC0: Public Domain"
36
+ _HOMEPAGE = "https://www.kaggle.com/savasy/ttc4900"
37
+ _FILENAME = "7allV03.csv"
38
+
39
+
40
+ class TTC4900Config(datasets.BuilderConfig):
41
+ """BuilderConfig for TTC4900"""
42
+
43
+ def __init__(self, **kwargs):
44
+ """BuilderConfig for TTC4900.
45
+ Args:
46
+ **kwargs: keyword arguments forwarded to super.
47
+ """
48
+ super(TTC4900Config, self).__init__(**kwargs)
49
+
50
+
51
+ class TTC4900(datasets.GeneratorBasedBuilder):
52
+ """TTC4900: A Benchmark Data for Turkish Text Categorization"""
53
+
54
+ BUILDER_CONFIGS = [
55
+ TTC4900Config(
56
+ name="ttc4900",
57
+ version=datasets.Version("1.0.0"),
58
+ description="A Benchmark Data for Turkish Text Categorization",
59
+ ),
60
+ ]
61
+
62
+ @property
63
+ def manual_download_instructions(self):
64
+ return """\
65
+ You need to go to https://www.kaggle.com/savasy/ttc4900,
66
+ and manually download the ttc4900. Once it is completed,
67
+ a file named archive.zip will be appeared in your Downloads folder
68
+ or whichever folder your browser chooses to save files to. You then have
69
+ to unzip the file and move 7allV03.csv under <path/to/folder>.
70
+ The <path/to/folder> can e.g. be "~/manual_data".
71
+ ttc4900 can then be loaded using the following command `datasets.load_dataset("ttc4900", data_dir="<path/to/folder>")`.
72
+ """
73
+
74
+ def _info(self):
75
+ return datasets.DatasetInfo(
76
+ description=_DESCRIPTION,
77
+ features=datasets.Features(
78
+ {
79
+ "category": datasets.features.ClassLabel(
80
+ names=["siyaset", "dunya", "ekonomi", "kultur", "saglik", "spor", "teknoloji"]
81
+ ),
82
+ "text": datasets.Value("string"),
83
+ }
84
+ ),
85
+ supervised_keys=None,
86
+ # Homepage of the dataset for documentation
87
+ homepage=_HOMEPAGE,
88
+ # License for the dataset if available
89
+ license=_LICENSE,
90
+ # Citation for the dataset
91
+ citation=_CITATION,
92
+ )
93
+
94
+ def _split_generators(self, dl_manager):
95
+ """Returns SplitGenerators."""
96
+ path_to_manual_file = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
97
+ if not os.path.exists(path_to_manual_file):
98
+ raise FileNotFoundError(
99
+ "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('ttc4900', data_dir=...)` that includes a file name {}. Manual download instructions: {})".format(
100
+ path_to_manual_file, _FILENAME, self.manual_download_instructions
101
+ )
102
+ )
103
+ return [
104
+ datasets.SplitGenerator(
105
+ name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(path_to_manual_file, _FILENAME)}
106
+ )
107
+ ]
108
+
109
+ def _generate_examples(self, filepath):
110
+ """Generate TTC4900 examples."""
111
+ logging.info("⏳ Generating examples from = %s", filepath)
112
+ with open(filepath, encoding="utf-8") as f:
113
+ rdr = csv.reader(f, delimiter=",")
114
+ next(rdr)
115
+ rownum = 0
116
+ for row in rdr:
117
+ rownum += 1
118
+ yield rownum, {
119
+ "category": row[0],
120
+ "text": row[1],
121
+ }