Update files from the datasets library (from 1.2.0)

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

.gitattributes

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+- ar
+licenses:
+- unkown
+multilinguality:
+- monolingual
+size_categories:
+- n>1M
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for Arabic Billion Words Corpus
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** http://www.abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus
+- **Repository:**
+- **Paper:** https://arxiv.org/pdf/1611.04033
+- **Leaderboard:**
+- **Point of Contact:**[Ibrahim Abu El-Khair](iabuelkhair@gmail.com)
+
+### Dataset Summary
+
+Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
+It contains over a billion and a half words in total, out of which, there are about three million unique words.
+The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.
+Also it was marked with two mark-up languages, namely: SGML, and XML.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Arabic
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+The data fields are:
+- "url": string, original url of the article,
+- "head_line": string, headline of the article,
+- "date": string, date of the article,
+- "text": string, text content of the article,
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@article{el20161,
+  title={1.5 billion words arabic corpus},
+  author={El-Khair, Ibrahim Abu},
+  journal={arXiv preprint arXiv:1611.04033},
+  year={2016}
+}
+```

arabic_billion_words.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Arabic Billion Words Corpus"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import re
+
+import datasets
+
+
+_CITATION = """\
+@article{el20161,
+  title={1.5 billion words arabic corpus},
+  author={El-Khair, Ibrahim Abu},
+  journal={arXiv preprint arXiv:1611.04033},
+  year={2016}
+}
+"""
+
+_DESCRIPTION = """\
+Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
+It contains over a billion and a half words in total, out of which, there are about three million unique words.
+The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.
+Also it was marked with two mark-up languages, namely: SGML, and XML.
+"""
+
+_HOMEPAGE = "http://abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus"
+
+_URL = "http://abuelkhair.net/corpus/"
+_URLs = {
+    "Alittihad": _URL + "Alittihad_XML_utf_8.rar",
+    "Almasryalyoum": _URL + "Almasryalyoum_XML_utf_8.rar",
+    "Almustaqbal": _URL + "Almustaqbal_XML_utf_8.rar",
+    "Alqabas": _URL + "Alqabas_XML_utf_8.rar",
+    "Echoroukonline": _URL + "Echoroukonline_XML_utf_8.rar",
+    "Ryiadh": _URL + "Ryiadh_XML_utf_8.rar",
+    "Sabanews": _URL + "Sabanews_XML_utf_8.rar",
+    "SaudiYoum": _URL + "SaudiYoum_XML_utf_8.rar",
+    "Techreen": _URL + "Techreen_XML_utf_8.rar",
+    "Youm7": _URL + "Youm7_XML_utf_8.rar",
+}
+
+# some tags are misspelled
+MISS_SPELLED_TAGS = {
+    "Dateline": ["Dateline", "dateline"],
+    "Headline": ["Headline", "Healine"],
+    "Text": ["Text"],
+    "URL": ["URL"],
+}
+
+
+class ArabicBillionWords(datasets.GeneratorBasedBuilder):
+    """Arabic Billion Words Corpus"""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="Alittihad", version=VERSION, description="This part of dataset covers Alittihad news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Almasryalyoum", version=VERSION, description="This part of dataset covers Almasryalyoum news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Almustaqbal", version=VERSION, description="This part of dataset covers Almustaqbal news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Alqabas", version=VERSION, description="This part of dataset covers Alqabas news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Echoroukonline", version=VERSION, description="This part of dataset covers Echoroukonline news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Ryiadh", version=VERSION, description="This part of dataset covers Ryiadh news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Sabanews", version=VERSION, description="This part of dataset covers Sabanews news paper"
+        ),
+        datasets.BuilderConfig(
+            name="SaudiYoum", version=VERSION, description="This part of dataset covers SaudiYoum news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Techreen", version=VERSION, description="This part of dataset covers Techreen news paper"
+        ),
+        datasets.BuilderConfig(
+            name="Youm7", version=VERSION, description="This part of dataset covers Youm7 news paper"
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "url": datasets.Value("string"),
+                "head_line": datasets.Value("string"),
+                "date": datasets.Value("string"),
+                "text": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        my_file_name = f"{self.config.name}_utf_8.xml"
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, my_file_name),
+                },
+            ),
+        ]
+
+    def _extract_tags(self, sample, tag):
+
+        # check if the tag is misspelled
+        for tg in MISS_SPELLED_TAGS[tag]:
+            pattern = f"<{tg}>(.*?)</{tg}>"
+            out = re.findall(r"" + pattern, sample.group(0), re.MULTILINE | re.DOTALL)
+            if len(out) > 0:
+                break
+        return out[0]
+
+    def _clean_text(self, text):
+        return text.replace("?", "")
+
+    def _generate_examples(self, filepath):
+        """ Yields examples. """
+        current_multi_line = ""
+        _idx = 0
+        data_tag = self.config.name
+        with open(filepath, mode="r", encoding="utf-8") as f:
+            for i, line in enumerate(f):
+                if i == 0:
+                    continue
+                current_multi_line += line
+                if i % 8 == 0:
+                    pattern = f"<{data_tag}(.*?)</{data_tag}>"
+                    data = re.finditer(r"" + pattern, current_multi_line, re.MULTILINE | re.DOTALL)
+                    text, url, head_line, date = ["", "", "", ""]
+                    for _, record in enumerate(data):
+                        try:
+                            text = self._clean_text(self._extract_tags(record, "Text"))
+                            url = self._extract_tags(record, "URL")
+                            head_line = self._clean_text(self._extract_tags(record, "Headline"))
+                            date = self._extract_tags(record, "Dateline")
+                        except ValueError:
+                            pass
+                        yield str(_idx), {"url": url, "head_line": head_line, "date": date, "text": text}
+                        _idx += 1
+                    current_multi_line = ""

dataset_infos.json

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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 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": "Alqabas", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 15035398, "num_examples": 16449, "dataset_name": "arabic_billion_words "}}, "download_checksums": {"http://abuelkhair.net/corpus/Alqabas_XML_utf_8.rar": {"num_bytes": 595274646, "checksum": "e5ea70add534220a8caf8d230959f134f49a822ce3612adb4f1bb537dc3cc6b4"}}, "download_size": 595274646, "post_processing_size": null, "dataset_size": 15035398, "size_in_bytes": 610310044}, "Echoroukonline": {"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": "Echoroukonline", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 116272124, "num_examples": 34931, "dataset_name": "arabic_billion_words "}}, "download_checksums": {"http://abuelkhair.net/corpus/Echoroukonline_XML_utf_8.rar": {"num_bytes": 108184378, "checksum": "8f3e85bd99caeb9c5c4922edcd18720fc3700fd6751febfa7ee72e05a584a270"}}, "download_size": 108184378, "post_processing_size": null, "dataset_size": 116272124, "size_in_bytes": 224456502}, "Ryiadh": {"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": 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