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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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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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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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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ languages:
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+ - ar
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+ licenses:
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+ - unkown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - n>1M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - sequence-modeling
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+ task_ids:
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+ - language-modeling
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+ ---
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+
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+ # Dataset Card for Arabic Billion Words Corpus
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** http://www.abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus
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+ - **Repository:**
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+ - **Paper:** https://arxiv.org/pdf/1611.04033
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+ - **Leaderboard:**
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+ - **Point of Contact:**[Ibrahim Abu El-Khair]([email protected])
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+
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+ ### Dataset Summary
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+
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+ Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
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+ It contains over a billion and a half words in total, out of which, there are about three million unique words.
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+ The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.
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+ Also it was marked with two mark-up languages, namely: SGML, and XML.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ Arabic
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ The data fields are:
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+ - "url": string, original url of the article,
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+ - "head_line": string, headline of the article,
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+ - "date": string, date of the article,
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+ - "text": string, text content of the article,
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+
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+ ### Data Splits
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+
86
+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
90
+ ### Curation Rationale
91
+
92
+ [More Information Needed]
93
+
94
+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
98
+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
106
+ #### Annotation process
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+
108
+ [More Information Needed]
109
+
110
+ #### Who are the annotators?
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+
112
+ [More Information Needed]
113
+
114
+ ### Personal and Sensitive Information
115
+
116
+ [More Information Needed]
117
+
118
+ ## Considerations for Using the Data
119
+
120
+ ### Social Impact of Dataset
121
+
122
+ [More Information Needed]
123
+
124
+ ### Discussion of Biases
125
+
126
+ [More Information Needed]
127
+
128
+ ### Other Known Limitations
129
+
130
+ [More Information Needed]
131
+
132
+ ## Additional Information
133
+
134
+ ### Dataset Curators
135
+
136
+ [More Information Needed]
137
+
138
+ ### Licensing Information
139
+
140
+ [More Information Needed]
141
+
142
+ ### Citation Information
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+
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+ ```
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+ @article{el20161,
146
+ title={1.5 billion words arabic corpus},
147
+ author={El-Khair, Ibrahim Abu},
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+ journal={arXiv preprint arXiv:1611.04033},
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+ year={2016}
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+ }
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+ ```
arabic_billion_words.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # 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
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+ """Arabic Billion Words Corpus"""
16
+
17
+ from __future__ import absolute_import, division, print_function
18
+
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+ import os
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+ import re
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+
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+ import datasets
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+
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+
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+ _CITATION = """\
26
+ @article{el20161,
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+ title={1.5 billion words arabic corpus},
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+ author={El-Khair, Ibrahim Abu},
29
+ journal={arXiv preprint arXiv:1611.04033},
30
+ year={2016}
31
+ }
32
+ """
33
+
34
+ _DESCRIPTION = """\
35
+ Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
36
+ It contains over a billion and a half words in total, out of which, there are about three million unique words.
37
+ The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.
38
+ Also it was marked with two mark-up languages, namely: SGML, and XML.
39
+ """
40
+
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+ _HOMEPAGE = "http://abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus"
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+
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+ _URL = "http://abuelkhair.net/corpus/"
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+ _URLs = {
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+ "Alittihad": _URL + "Alittihad_XML_utf_8.rar",
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+ "Almasryalyoum": _URL + "Almasryalyoum_XML_utf_8.rar",
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+ "Almustaqbal": _URL + "Almustaqbal_XML_utf_8.rar",
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+ "Alqabas": _URL + "Alqabas_XML_utf_8.rar",
49
+ "Echoroukonline": _URL + "Echoroukonline_XML_utf_8.rar",
50
+ "Ryiadh": _URL + "Ryiadh_XML_utf_8.rar",
51
+ "Sabanews": _URL + "Sabanews_XML_utf_8.rar",
52
+ "SaudiYoum": _URL + "SaudiYoum_XML_utf_8.rar",
53
+ "Techreen": _URL + "Techreen_XML_utf_8.rar",
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+ "Youm7": _URL + "Youm7_XML_utf_8.rar",
55
+ }
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+
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+ # some tags are misspelled
58
+ MISS_SPELLED_TAGS = {
59
+ "Dateline": ["Dateline", "dateline"],
60
+ "Headline": ["Headline", "Healine"],
61
+ "Text": ["Text"],
62
+ "URL": ["URL"],
63
+ }
64
+
65
+
66
+ class ArabicBillionWords(datasets.GeneratorBasedBuilder):
67
+ """Arabic Billion Words Corpus"""
68
+
69
+ VERSION = datasets.Version("1.1.0")
70
+
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+ BUILDER_CONFIGS = [
72
+ datasets.BuilderConfig(
73
+ name="Alittihad", version=VERSION, description="This part of dataset covers Alittihad news paper"
74
+ ),
75
+ datasets.BuilderConfig(
76
+ name="Almasryalyoum", version=VERSION, description="This part of dataset covers Almasryalyoum news paper"
77
+ ),
78
+ datasets.BuilderConfig(
79
+ name="Almustaqbal", version=VERSION, description="This part of dataset covers Almustaqbal news paper"
80
+ ),
81
+ datasets.BuilderConfig(
82
+ name="Alqabas", version=VERSION, description="This part of dataset covers Alqabas news paper"
83
+ ),
84
+ datasets.BuilderConfig(
85
+ name="Echoroukonline", version=VERSION, description="This part of dataset covers Echoroukonline news paper"
86
+ ),
87
+ datasets.BuilderConfig(
88
+ name="Ryiadh", version=VERSION, description="This part of dataset covers Ryiadh news paper"
89
+ ),
90
+ datasets.BuilderConfig(
91
+ name="Sabanews", version=VERSION, description="This part of dataset covers Sabanews news paper"
92
+ ),
93
+ datasets.BuilderConfig(
94
+ name="SaudiYoum", version=VERSION, description="This part of dataset covers SaudiYoum news paper"
95
+ ),
96
+ datasets.BuilderConfig(
97
+ name="Techreen", version=VERSION, description="This part of dataset covers Techreen news paper"
98
+ ),
99
+ datasets.BuilderConfig(
100
+ name="Youm7", version=VERSION, description="This part of dataset covers Youm7 news paper"
101
+ ),
102
+ ]
103
+
104
+ def _info(self):
105
+ features = datasets.Features(
106
+ {
107
+ "url": datasets.Value("string"),
108
+ "head_line": datasets.Value("string"),
109
+ "date": datasets.Value("string"),
110
+ "text": datasets.Value("string"),
111
+ }
112
+ )
113
+ return datasets.DatasetInfo(
114
+ description=_DESCRIPTION,
115
+ features=features,
116
+ homepage=_HOMEPAGE,
117
+ citation=_CITATION,
118
+ )
119
+
120
+ def _split_generators(self, dl_manager):
121
+ """Returns SplitGenerators."""
122
+ my_urls = _URLs[self.config.name]
123
+ data_dir = dl_manager.download_and_extract(my_urls)
124
+ my_file_name = f"{self.config.name}_utf_8.xml"
125
+ return [
126
+ datasets.SplitGenerator(
127
+ name=datasets.Split.TRAIN,
128
+ gen_kwargs={
129
+ "filepath": os.path.join(data_dir, my_file_name),
130
+ },
131
+ ),
132
+ ]
133
+
134
+ def _extract_tags(self, sample, tag):
135
+
136
+ # check if the tag is misspelled
137
+ for tg in MISS_SPELLED_TAGS[tag]:
138
+ pattern = f"<{tg}>(.*?)</{tg}>"
139
+ out = re.findall(r"" + pattern, sample.group(0), re.MULTILINE | re.DOTALL)
140
+ if len(out) > 0:
141
+ break
142
+ return out[0]
143
+
144
+ def _clean_text(self, text):
145
+ return text.replace("?", "")
146
+
147
+ def _generate_examples(self, filepath):
148
+ """ Yields examples. """
149
+ current_multi_line = ""
150
+ _idx = 0
151
+ data_tag = self.config.name
152
+ with open(filepath, mode="r", encoding="utf-8") as f:
153
+ for i, line in enumerate(f):
154
+ if i == 0:
155
+ continue
156
+ current_multi_line += line
157
+ if i % 8 == 0:
158
+ pattern = f"<{data_tag}(.*?)</{data_tag}>"
159
+ data = re.finditer(r"" + pattern, current_multi_line, re.MULTILINE | re.DOTALL)
160
+ text, url, head_line, date = ["", "", "", ""]
161
+ for _, record in enumerate(data):
162
+ try:
163
+ text = self._clean_text(self._extract_tags(record, "Text"))
164
+ url = self._extract_tags(record, "URL")
165
+ head_line = self._clean_text(self._extract_tags(record, "Headline"))
166
+ date = self._extract_tags(record, "Dateline")
167
+ except ValueError:
168
+ pass
169
+ yield str(_idx), {"url": url, "head_line": head_line, "date": date, "text": text}
170
+ _idx += 1
171
+ current_multi_line = ""
dataset_infos.json ADDED
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+ {"Alittihad": {"description": "Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique words.\nThe corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.\nAlso it was marked with two mark-up languages, namely: SGML, and XML.\n", "citation": "@article{el20161,\n title={1.5 billion words arabic corpus},\n author={El-Khair, Ibrahim Abu},\n journal={arXiv preprint arXiv:1611.04033},\n year={2016}\n}\n", "homepage": "http://abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus", "license": "", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "head_line": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_billion_words ", "config_name": "Alittihad", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21619825, "num_examples": 11551, "dataset_name": "arabic_billion_words "}}, "download_checksums": {"http://abuelkhair.net/corpus/Alittihad_XML_utf_8.rar": {"num_bytes": 348259999, "checksum": "6dd90f7ca98699e924e0ea423dc9f4f648c645379f8bffe15eeb97af00fd6fc0"}}, "download_size": 348259999, "post_processing_size": null, "dataset_size": 21619825, "size_in_bytes": 369879824}, "Almasryalyoum": {"description": "Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique words.\nThe corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.\nAlso it was marked with two mark-up languages, namely: SGML, and XML.\n", "citation": "@article{el20161,\n title={1.5 billion words arabic corpus},\n author={El-Khair, Ibrahim Abu},\n journal={arXiv preprint arXiv:1611.04033},\n year={2016}\n}\n", "homepage": "http://abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus", "license": "", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "head_line": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_billion_words ", "config_name": "Almasryalyoum", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4214673, "num_examples": 3170, "dataset_name": "arabic_billion_words "}}, "download_checksums": {"http://abuelkhair.net/corpus/Almasryalyoum_XML_utf_8.rar": {"num_bytes": 242604438, "checksum": "f88d24179fa97df8d179242cb564301be2c7a4ecd36a027815b8ce1563059e7a"}}, "download_size": 242604438, "post_processing_size": null, "dataset_size": 4214673, "size_in_bytes": 246819111}, "Almustaqbal": {"description": "Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique words.\nThe corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.\nAlso it was marked with two mark-up languages, namely: SGML, and XML.\n", "citation": "@article{el20161,\n title={1.5 billion words arabic corpus},\n author={El-Khair, Ibrahim Abu},\n journal={arXiv preprint arXiv:1611.04033},\n year={2016}\n}\n", "homepage": "http://abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus", "license": "", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "head_line": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_billion_words ", "config_name": "Almustaqbal", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11657265, "num_examples": 12627, "dataset_name": "arabic_billion_words "}}, "download_checksums": {"http://abuelkhair.net/corpus/Almustaqbal_XML_utf_8.rar": {"num_bytes": 350826797, "checksum": "dff3361ad821f3bd3912cd7282db5c15a34919312b9bc7d708a8b30782c7fc36"}}, "download_size": 350826797, "post_processing_size": null, "dataset_size": 11657265, "size_in_bytes": 362484062}, "Alqabas": {"description": "Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.\nIt contains over a billion and a half words in total, out of which, there are about three million unique 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