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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- ar
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- multi-class-classification
-paperswithcode_id: hard
-pretty_name: Hotel Arabic-Reviews Dataset
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: '1'
-          1: '2'
-          2: '3'
-          3: '4'
-          4: '5'
-  config_name: plain_text
-  splits:
-  - name: train
-    num_bytes: 27507085
-    num_examples: 105698
-  download_size: 8508677
-  dataset_size: 27507085
----
-
-# Dataset Card for Hard
-
-## 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:** [Hard](https://github.com/elnagara/HARD-Arabic-Dataset)
-- **Repository:** [Hard](https://github.com/elnagara/HARD-Arabic-Dataset)
-- **Paper:** [Hotel Arabic-Reviews Dataset Construction for Sentiment Analysis Applications](https://link.springer.com/chapter/10.1007/978-3-319-67056-0_3)
-- **Point of Contact:** [Ashraf Elnagar]([email protected])
-
-### Dataset Summary
-
-This dataset contains 93,700 hotel reviews in Arabic language.The hotel reviews were collected from Booking.com website during June/July 2016.The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.The following table summarize some tatistics on the HARD Dataset.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-The dataset is based on Arabic.
-
-## Dataset Structure
-
-### Data Instances
-
-A typical data point comprises a rating from 1 to 5 for hotels.  
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-The dataset is not split.
-
-## 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
-
-### Contributions
-
-Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset.

dataset_infos.json

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-{"plain_text": {"description": "This dataset contains 93700 hotel reviews in Arabic language.The hotel reviews were collected from Booking.com website during June/July 2016.The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.The following table summarize some tatistics on the HARD Dataset.\n", "citation": "@incollection{elnagar2018hotel,\n  title={Hotel Arabic-reviews dataset construction for sentiment analysis applications},\n  author={Elnagar, Ashraf and Khalifa, Yasmin S and Einea, Anas},\n  booktitle={Intelligent Natural Language Processing: Trends and Applications},\n  pages={35--52},\n  year={2018},\n  publisher={Springer}\n}\n", "homepage": "https://github.com/elnagara/HARD-Arabic-Dataset", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["1", "2", "3", "4", "5"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label", "labels": ["1", "2", "3", "4", "5"]}], "builder_name": "hard", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 27507085, "num_examples": 105698, "dataset_name": "hard"}}, "download_checksums": {"https://raw.githubusercontent.com/elnagara/HARD-Arabic-Dataset/master/data/balanced-reviews.zip": {"num_bytes": 8508677, "checksum": "1939c1ca59ff50bd3887223b153c7fb5c9fd232b405320244c55791bc8b5d448"}}, "download_size": 8508677, "post_processing_size": null, "dataset_size": 27507085, "size_in_bytes": 36015762}}

hard.py

@@ -1,105 +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
-"""Hotel Reviews in Arabic language"""
-
-
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-_DESCRIPTION = """\
-This dataset contains 93700 hotel reviews in Arabic language.\
-The hotel reviews were collected from Booking.com website during June/July 2016.\
-The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.\
-The following table summarize some tatistics on the HARD Dataset.
-"""
-
-_CITATION = """\
-@incollection{elnagar2018hotel,
-  title={Hotel Arabic-reviews dataset construction for sentiment analysis applications},
-  author={Elnagar, Ashraf and Khalifa, Yasmin S and Einea, Anas},
-  booktitle={Intelligent Natural Language Processing: Trends and Applications},
-  pages={35--52},
-  year={2018},
-  publisher={Springer}
-}
-"""
-
-_DOWNLOAD_URL = "https://raw.githubusercontent.com/elnagara/HARD-Arabic-Dataset/master/data/balanced-reviews.zip"
-
-
-class HardConfig(datasets.BuilderConfig):
-    """BuilderConfig for Hard."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Hard.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(HardConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-
-
-class Hard(datasets.GeneratorBasedBuilder):
-    """Hard dataset."""
-
-    BUILDER_CONFIGS = [
-        HardConfig(
-            name="plain_text",
-            description="Plain text",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(
-                        names=[
-                            "1",
-                            "2",
-                            "3",
-                            "4",
-                            "5",
-                        ]
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://github.com/elnagara/HARD-Arabic-Dataset",
-            citation=_CITATION,
-            task_templates=[TextClassification(text_column="text", label_column="label")],
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"directory": os.path.join(data_dir, "balanced-reviews.txt")}
-            ),
-        ]
-
-    def _generate_examples(self, directory):
-        """Generate examples."""
-        with open(directory, mode="r", encoding="utf-16") as file:
-            for id_, line in enumerate(file.read().splitlines()[1:]):
-                _, _, rating, _, _, _, review_text = line.split("\t")
-                yield str(id_), {"text": review_text, "label": rating}

plain_text/hard-train.parquet

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