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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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+ *.arrow 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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+ - no-annotation
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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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+ - unknown
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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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+ - other-diacritics-prediction
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+ ---
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+
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+ # Dataset Card for Tashkeela
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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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+ - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-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:** [Tashkeela](https://sourceforge.net/projects/tashkeela/)
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+ - **Repository:** [Tashkeela](https://sourceforge.net/projects/tashkeela/)
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+ - **Paper:** [Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems](https://www.sciencedirect.com/science/article/pii/S2352340917300112)
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+ - **Point of Contact:** [Taha Zerrouki](mailto:t_zerrouki@esi.dz)
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+
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+ ### Dataset Summary
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+
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+ It contains 75 million of fully vocalized words mainly
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+ 97 books from classical and modern Arabic language.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ The dataset was published on this [paper](https://www.sciencedirect.com/science/article/pii/S2352340917300112#!).
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+
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+ ### Languages
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+
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+ The dataset is based on 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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+ The dataset contains 97 books and 75 million of fully vocalized words.
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ The dataset is not split.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ [More Information Needed]
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+
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+ #### Initial Data Collection and Normalization
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+
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+ The Modern Standard Arabic texts crawled from the Internet.
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+
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+ #### Who are the source language producers?
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+
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+ Websites.
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+
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+ ### Annotations
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+
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+ The dataset does not contain any additional annotations.
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Discussion of Social Impact and Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ ```
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+ @article{zerrouki2017tashkeela,
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+ title={Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems},
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+ author={Zerrouki, Taha and Balla, Amar},
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+ journal={Data in brief},
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+ volume={11},
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+ pages={147},
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+ year={2017},
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+ publisher={Elsevier}
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+ }
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+ ```
dataset_infos.json ADDED
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+ {"plain_text": {"description": "Arabic vocalized texts.\nit contains 75 million of fully vocalized words mainly97 books from classical and modern Arabic language.\n", "citation": "@article{zerrouki2017tashkeela,\n title={Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems},\n author={Zerrouki, Taha and Balla, Amar},\n journal={Data in brief},\n volume={11},\n pages={147},\n year={2017},\n publisher={Elsevier}\n}\n", "homepage": "https://github.com/zaidalyafeai/Tashkeela", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "book": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tashkeela", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1081110249, "num_examples": 97, "dataset_name": "tashkeela"}}, "download_checksums": {"https://sourceforge.net/projects/tashkeela/files/latest/download": {"num_bytes": 183393530, "checksum": "bfa2353cabaf4f1e8962f411201e4a4f936a70fa4981758d8994b35d7cf37b33"}}, "download_size": 183393530, "post_processing_size": null, "dataset_size": 1081110249, "size_in_bytes": 1264503779}}
dummy/plain_text/1.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:759868ba00808d1ad8718621ed675ecccd42bcf688b6be246a111a593667ef37
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+ size 1029
tashkeela.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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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.
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+ # You may obtain a copy of the License at
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+ #
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+ # 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
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+ # 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
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+ # limitations under the License.
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+
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+ # Lint as: python3
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+ """Arabic Vocalized Words Dataset."""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import glob
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+ import os
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+
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ Arabic vocalized texts.
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+ it contains 75 million of fully vocalized words mainly\
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+ 97 books from classical and modern Arabic language.
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+ """
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+
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+ _CITATION = """\
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+ @article{zerrouki2017tashkeela,
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+ title={Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems},
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+ author={Zerrouki, Taha and Balla, Amar},
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+ journal={Data in brief},
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+ volume={11},
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+ pages={147},
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+ year={2017},
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+ publisher={Elsevier}
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+ }
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+ """
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+
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+ _DOWNLOAD_URL = "https://sourceforge.net/projects/tashkeela/files/latest/download"
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+
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+
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+ class TashkeelaConfig(datasets.BuilderConfig):
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+ """BuilderConfig for Tashkeela."""
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig for Tashkeela.
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+
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(TashkeelaConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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+
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+
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+ class Tashkeela(datasets.GeneratorBasedBuilder):
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+ """Tashkeela dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ TashkeelaConfig(
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+ name="plain_text",
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+ description="Plain text",
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+ )
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+ ]
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "book": datasets.Value("string"),
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+ "text": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=None,
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+ homepage="https://sourceforge.net/projects/tashkeela/",
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ arch_path = dl_manager.download_and_extract(_DOWNLOAD_URL)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "directory": os.path.join(arch_path, "Tashkeela-arabic-diacritized-text-utf8-0.3/texts.txt")
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(self, directory):
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+ """Generate examples."""
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+
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+ for id_, file_name in enumerate(sorted(glob.glob(os.path.join(directory, "**.txt")))):
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+ with open(file_name, encoding="UTF-8") as f:
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+ yield str(id_), {"book": file_name, "text": f.read()}