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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- ar
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- sentiment-classification
-paperswithcode_id: null
-pretty_name: ArRestReviews
-dataset_info:
-  features:
-  - name: polarity
-    dtype:
-      class_label:
-        names:
-          0: negative
-          1: positive
-  - name: text
-    dtype: string
-  - name: restaurant_id
-    dtype: string
-  - name: user_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3617097
-    num_examples: 8364
-  download_size: 3503230
-  dataset_size: 3617097
----
-
-# Dataset Card for ArRestReviews
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [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)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [Large Arabic Sentiment Analysis Resources](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces)
-- **Repository:** [Large Arabic Sentiment Analysis Resources](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces)
-- **Paper:** [ Building Large Arabic Multi-domain Resources for Sentiment Analysis](https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/blob/master/Paper%20-%20Building%20Large%20Arabic%20Multi-domain%20Resources%20for%20Sentiment%20Analysis.pdf)
-- **Point of Contact:** [hady elsahar](hadyelsahar@gmail.com)
-
-### Dataset Summary
-
-Dataset of 8364 restaurant reviews from qaym.com in Arabic for sentiment analysis
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-The dataset is based on Arabic.
-
-## Dataset Structure
-
-### Data Instances
-
-A typical data point comprises of the following:
-
-- "polarity": which is a string value of either 0 or 1 indicating the sentiment around the review    
-
-- "text": is the review plain text of a restaurant in Arabic
-
-- "restaurant_id": the restaurant ID on the website
-
-- "user_id": the user ID on the website
-
-example:
-``` 
-{
-    'polarity': 0,  # negative
-    'restaurant_id': '1412',
-    'text': 'عادي جدا مامن زود',
-    'user_id': '21294'
-}
-```
-
-### Data Fields
-
-- "polarity": is a string value of either 0 or 1 indicating the sentiment around the review    
-
-- "text": is the review plain text of a restaurant in Arabic
-
-- "restaurant_id": the restaurant ID on the website (string)
-
-- "user_id": the user ID on the website (string)
-
-### Data Splits
-
-The dataset is not split. 
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-[More Information Needed]
-
-#### Initial Data Collection and Normalization
-
-Contains 8364 restaurant reviews from qaym.com
-
-#### Who are the source language producers?
-
-From tweeter.  
-
-### Annotations
-
-The polarity field provides a label of 1 or -1 pertaining to the sentiment of the review
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Discussion of Social Impact and Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-@InProceedings{10.1007/978-3-319-18117-2_2,
-author="ElSahar, Hady
-and El-Beltagy, Samhaa R.",
-editor="Gelbukh, Alexander",
-title="Building Large Arabic Multi-domain Resources for Sentiment Analysis",
-booktitle="Computational Linguistics and Intelligent Text Processing",
-year="2015",
-publisher="Springer International Publishing",
-address="Cham",
-pages="23--34",
-isbn="978-3-319-18117-2"
-}
-
-### Contributions
-
-Thanks to [@abdulelahsm](https://github.com/abdulelahsm) for adding this dataset.

ar_res_reviews.py

@@ -1,85 +0,0 @@
-# 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.
-"""Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis"""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{10.1007/978-3-319-18117-2_2,
-author="ElSahar, Hady
-and El-Beltagy, Samhaa R.",
-editor="Gelbukh, Alexander",
-title="Building Large Arabic Multi-domain Resources for Sentiment Analysis",
-booktitle="Computational Linguistics and Intelligent Text Processing",
-year="2015",
-publisher="Springer International Publishing",
-address="Cham",
-pages="23--34",
-isbn="978-3-319-18117-2"
-}
-"""
-
-_DESCRIPTION = """\
-Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis
-"""
-
-_HOMEPAGE = "https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces"
-
-_DOWNLOAD_URL = (
-    "https://raw.githubusercontent.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/master/datasets/RES1.csv"
-)
-
-
-class ArResReviews(datasets.GeneratorBasedBuilder):
-    """Dataset of 8364 restaurant reviews in Arabic for sentiment analysis"""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "polarity": datasets.ClassLabel(names=["negative", "positive"]),
-                    "text": datasets.Value("string"),
-                    "restaurant_id": datasets.Value("string"),
-                    "user_id": datasets.Value("string"),
-                }
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        data_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Generate arabic restaurant reviews examples."""
-        with open(filepath, encoding="utf-8") as csv_file:
-            next(csv_file)
-            csv_reader = csv.reader(
-                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
-            )
-            for id_, row in enumerate(csv_reader):
-                polarity, text, restaurant_id, user_id = row
-                polarity = "negative" if polarity == "-1" else "positive"
-                yield id_, {"polarity": polarity, "text": text, "restaurant_id": restaurant_id, "user_id": user_id}

dataset_infos.json

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-{"default": {"description": "Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis\n", "citation": "@InProceedings{10.1007/978-3-319-18117-2_2,\nauthor=\"ElSahar, Hady\nand El-Beltagy, Samhaa R.\",\neditor=\"Gelbukh, Alexander\",\ntitle=\"Building Large Arabic Multi-domain Resources for Sentiment Analysis\",\nbooktitle=\"Computational Linguistics and Intelligent Text Processing\",\nyear=\"2015\",\npublisher=\"Springer International Publishing\",\naddress=\"Cham\",\npages=\"23--34\",\nisbn=\"978-3-319-18117-2\"\n}\n", "homepage": "https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces", "license": "", "features": {"polarity": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "restaurant_id": {"dtype": "string", "id": null, "_type": "Value"}, "user_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ar_res_reviews", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3617097, "num_examples": 8364, "dataset_name": "ar_res_reviews"}}, "download_checksums": {"https://raw.githubusercontent.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/master/datasets/RES1.csv": {"num_bytes": 3503230, "checksum": "afdb587d41310302372ed154a91a7231f566c137cadeea9df166e7326c2c4b19"}}, "download_size": 3503230, "post_processing_size": null, "dataset_size": 3617097, "size_in_bytes": 7120327}}

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