Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
1K - 10K
License:
Convert dataset to Parquet
#2
by
albertvillanova
HF staff
- opened
- README.md +8 -3
- ar_res_reviews.py +0 -85
- data/train-00000-of-00001.parquet +3 -0
- dataset_infos.json +0 -1
README.md
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@@ -34,10 +34,15 @@ dataset_info:
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples: 8364
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download_size:
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dataset_size:
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---
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# Dataset Card for ArRestReviews
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dtype: string
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splits:
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- name: train
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num_bytes: 3617085
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num_examples: 8364
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download_size: 1887029
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dataset_size: 3617085
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for ArRestReviews
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ar_res_reviews.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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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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"""Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis"""
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import csv
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import datasets
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_CITATION = """\
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@InProceedings{10.1007/978-3-319-18117-2_2,
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author="ElSahar, Hady
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and El-Beltagy, Samhaa R.",
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editor="Gelbukh, Alexander",
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title="Building Large Arabic Multi-domain Resources for Sentiment Analysis",
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booktitle="Computational Linguistics and Intelligent Text Processing",
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year="2015",
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publisher="Springer International Publishing",
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address="Cham",
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pages="23--34",
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isbn="978-3-319-18117-2"
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}
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"""
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_DESCRIPTION = """\
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Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis
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"""
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_HOMEPAGE = "https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces"
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_DOWNLOAD_URL = (
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"https://raw.githubusercontent.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/master/datasets/RES1.csv"
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)
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class ArResReviews(datasets.GeneratorBasedBuilder):
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"""Dataset of 8364 restaurant reviews in Arabic for sentiment analysis"""
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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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"polarity": datasets.ClassLabel(names=["negative", "positive"]),
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"text": datasets.Value("string"),
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"restaurant_id": datasets.Value("string"),
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"user_id": datasets.Value("string"),
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}
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),
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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data_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir}),
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]
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def _generate_examples(self, filepath):
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"""Generate arabic restaurant reviews examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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next(csv_file)
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csv_reader = csv.reader(
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csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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)
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for id_, row in enumerate(csv_reader):
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polarity, text, restaurant_id, user_id = row
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polarity = "negative" if polarity == "-1" else "positive"
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yield id_, {"polarity": polarity, "text": text, "restaurant_id": restaurant_id, "user_id": user_id}
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:140cf35289bed629d676a9db236fa9955a1609794816090defd7350c8abc9e43
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size 1887029
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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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