Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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README.md

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+---
+annotations_creators: []
+language_creators: []
+languages:
+- th
+licenses:
+- lgpl-3-0-only
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card for Wongnai_Reviews
+
+## Dataset Description
+
+- **Repository: ** https://github.com/wongnai/wongnai-corpus
+
+### Dataset Summary
+
+The Wongnai Review dataset contains restaurant reviews and ratings, almost entirely in Thai language.
+
+The reviews are in 5 classes ranging from 1 to 5 stars.
+
+This dataset was featured in a Kaggle challenge https://www.kaggle.com/c/wongnai-challenge-review-rating-prediction/overview
+
+### Languages
+
+Thai
+
+## Dataset Structure
+
+### Data Fields
+
+- review_body - text of review
+- star_rating - an integer star rating (1-5) or -1 (for test)
+
+### Data Splits
+
+Designated train (40,000 reviews) and test (6,204) sets.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Data was collected by Wongnai from business reviews on their website,
+and shared on GitHub and Kaggle.
+
+### Annotations
+
+The reviews are users' own star ratings, so no additional annotation was needed.
+
+## Additional Information
+
+### Dataset Curators
+
+Contributors to original GitHub repo:
+- Ekkalak Thongthanomkul
+- Tanapol Nearunchorn
+- Yuwat Chuesathuchon
+
+### Licensing Information
+
+LGPL-3.0
+
+### Citation Information
+
+See https://github.com/wongnai/wongnai-corpus

dataset_infos.json

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+{"default": {"description": "Wongnai's review dataset contains restaurant reviews and ratings, mainly in Thai language.\nThe reviews are in 5 classes ranging from 1 to 5 stars.\n", "citation": "", "homepage": "https://github.com/wongnai/wongnai-corpus", "license": "LGPL-3.0", "features": {"review_body": {"dtype": "string", "id": null, "_type": "Value"}, "star_rating": {"num_classes": 5, "names": ["1", "2", "3", "4", "5"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wongnai_reviews", "config_name": "default", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 60691428, "num_examples": 40000, "dataset_name": "wongnai_reviews"}, "test": {"name": "test", "num_bytes": 9913686, "num_examples": 6203, "dataset_name": "wongnai_reviews"}}, "download_checksums": {"https://archive.org/download/wongnai_reviews/wongnai_reviews_withtest.zip": {"num_bytes": 16556587, "checksum": "d3d1de39d28346023db55f2a97735be667dae8480ab765a1764138c5cec17b36"}}, "download_size": 16556587, "post_processing_size": null, "dataset_size": 70605114, "size_in_bytes": 87161701}}

dummy/1.0.1/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:00993f89612305cf1677f6a628d0e6ffc28ad1481ffd60b52de27474f00d0245
+size 10097

wongnai_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.
+"""TODO: Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+# no BibTeX citation
+_CITATION = ""
+
+_DESCRIPTION = """\
+Wongnai's review dataset contains restaurant reviews and ratings, mainly in Thai language.
+The reviews are in 5 classes ranging from 1 to 5 stars.
+"""
+
+_LICENSE = "LGPL-3.0"
+
+_URLs = {"default": "https://archive.org/download/wongnai_reviews/wongnai_reviews_withtest.zip"}
+
+
+class WongnaiReviews(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.1")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "review_body": datasets.Value("string"),
+                "star_rating": datasets.features.ClassLabel(names=["1", "2", "3", "4", "5"]),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage="https://github.com/wongnai/wongnai-corpus",
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(data_dir, "w_review_train.csv"), "split": "train"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(data_dir, "w_review_test.csv"), "split": "test"},
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            spamreader = csv.reader(f, delimiter=";", quotechar='"')
+            for id_, row in enumerate(spamreader):
+                yield id_, {"review_body": row[0], "star_rating": row[1]}