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:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1k<n<10k
+source_datasets:
+- original
+task_categories:
+- text_classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for ArRestReviews
+
+## 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)
+  - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-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:** [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]([email protected])
+
+### 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"
+}

ar_res_reviews.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.
+"""Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis"""
+
+from __future__ import absolute_import, division, print_function
+
+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}}

dummy/0.0.0/dummy_data.zip

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