Update parquet files

.gitattributes

@@ -14,3 +14,9 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
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ar.py

@@ -1,102 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-"""The Arabic United nation Corpus dataset."""
-
-from __future__ import absolute_import, division, print_function
-
-import glob
-import os
-import re
-
-import datasets
-
-
-_DESCRIPTION = """\
-The corpus is a part of the MultiUN corpus.\
-It is a collection of translated documents from the United Nations.\
-The corpus is download from the following website : \
-[open parallel corpus](http://opus.datasetsl.eu/)  \
-"""
-
-_CITATION = """\
-@inproceedings{eisele2010multiun,
-  title={MultiUN: A Multilingual Corpus from United Nation Documents.},
-  author={Eisele, Andreas and Chen, Yu},
-  booktitle={LREC},
-  year={2010}
-}
-
-"""
-
-URL = "https://object.pouta.csc.fi/OPUS-MultiUN/v1/mono/ar.txt.gz"
-
-
-class AracorpusConfig(datasets.BuilderConfig):
-    """BuilderConfig for BookCorpus."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for BookCorpus.
-        Args:
-        **kwargs: keyword arguments forwarded to super.
-        """
-        super(AracorpusConfig, self).__init__(
-            version=datasets.Version("1.0.0", "New split API (https://tensorflow.org/datasets/splits)"), **kwargs
-        )
-
-
-class Aracorpus(datasets.GeneratorBasedBuilder):
-    """BookCorpus dataset."""
-
-    BUILDER_CONFIGS = [AracorpusConfig(name="plain_text", description="Plain text",)]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({"text": datasets.Value("string"),}),
-            supervised_keys=None,
-            homepage="http://opus.datasetsl.eu/",
-            citation=_CITATION,
-        )
-
-    def _vocab_text_gen(self, archive):
-        for _, ex in self._generate_examples(archive):
-            yield ex["text"]
-
-    def _split_generators(self, dl_manager):
-        arch_path = dl_manager.download_and_extract(URL)
-	
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"directory": arch_path}),
-        ]
-
-    def _generate_examples(self, directory):
-        index=directory.rfind("datasets")
-        index=index+8
-        url=directory[:index]
-        direct_name=directory[index+1:]
-        directory=url
-
-        files = [
-            os.path.join(directory, direct_name),
-        ]
-
-        _id = 0
-        for txt_file in files:
-            with open(txt_file, mode="r") as f:
-                for line in f:
-                    yield _id, {"text": line.strip()}
-                    _id += 1

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