Convert dataset to Parquet (#2)

- Convert dataset to Parquet (0d5b85c0d50a3d72cf267e0a300785b2cfb842b1)
- Delete loading script (8759c493bb016cf1ad19a875f4d39877402108db)
- Delete legacy dataset_infos.json (ac899f2f728c92427cec81896b787db5ac9f1449)

README.md

@@ -34,10 +34,15 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 3617097
+    num_bytes: 3617085
     num_examples: 8364
-  download_size: 3503230
-  dataset_size: 3617097
+  download_size: 1887029
+  dataset_size: 3617085
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for ArRestReviews

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}

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:140cf35289bed629d676a9db236fa9955a1609794816090defd7350c8abc9e43
+size 1887029

dataset_infos.json

@@ -1 +0,0 @@
-{"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}}