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:
+- 10k<n<100k
+source_datasets:
+- original
+task_categories:
+- text_classification
+task_ids:
+- multi-class-classification
+---
+
+# Dataset Card for MetRec
+
+## 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:** [LABR](https://github.com/mohamedadaly/LABR)
+- **Repository:** [LABR](https://github.com/mohamedadaly/LABR)
+- **Paper:** [LABR: Large-scale Arabic Book Reviews Dataset](https://www.aclweb.org/anthology/P13-2088.pdf)
+- **Point of Contact:** [Mohammed Aly](mailto:mohamed@mohamedaly.info)
+
+### Dataset Summary
+
+This dataset contains over 63,000 book reviews in Arabic. It is the largest sentiment analysis dataset for Arabic to-date. The book reviews were harvested from the website Goodreads during the month or March 2013. Each book review comes with the goodreads review id, the user id, the book id, the rating (1 to 5) and the text of the review.
+
+### Supported Tasks and Leaderboards
+
+The dataset was published on this [paper](https://www.aclweb.org/anthology/P13-2088.pdf). 
+
+### Languages
+
+The dataset is based on Arabic.
+
+## Dataset Structure
+
+### Data Instances
+
+A typical data point comprises a rating from 1 to 5 where the higher the rating the better the review.  
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+The data is split into a training and testing. The split is organized as the following 
+
+|           | Tain   | Test |
+|---------- | ------ | ---- |
+|data split | 11,760 | 2,935|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+downloaded over 220,000 reviews from the
+book readers social network www.goodreads.com
+during the month of March 2013
+
+#### Who are the source language producers?
+
+Reviews. 
+
+### Annotations
+
+The dataset does not contain any additional 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
+
+### 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
+
+[More Information Needed]

dataset_infos.json

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+{"plain_text": {"description": "This dataset contains over 63,000 book reviews in Arabic.It is the largest sentiment analysis dataset for Arabic to-date.The book reviews were harvested from the website Goodreads during the month or March 2013.Each book review comes with the goodreads review id, the user id, the book id, the rating (1 to 5) and the text of the review.\n", "citation": "@inproceedings{aly2013labr,\n  title={Labr: A large scale arabic book reviews dataset},\n  author={Aly, Mohamed and Atiya, Amir},\n  booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},\n  pages={494--498},\n  year={2013}\n}\n", "homepage": "https://github.com/mohamedadaly/LABR", "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, "builder_name": "labr", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7051103, "num_examples": 11760, "dataset_name": "labr"}, "test": {"name": "test", "num_bytes": 1703399, "num_examples": 2935, "dataset_name": "labr"}}, "download_checksums": {"https://raw.githubusercontent.com/mohamedadaly/LABR/master/data/5class-balanced-train.txt": {"num_bytes": 80515, "checksum": "389473fb7e673f60b42d0a8f1c6478f0930a61ae0a069f7b83c6ea670fe8171d"}, "https://raw.githubusercontent.com/mohamedadaly/LABR/master/data/5class-balanced-test.txt": {"num_bytes": 20067, "checksum": "0ca1ef7d5c286514defe6d45d1d72696bfdd169364b0d69d1f02beb9fbfe89cf"}, "https://raw.githubusercontent.com/mohamedadaly/LABR/master/data/reviews.tsv": {"num_bytes": 39853130, "checksum": "a72f1b8ece766c918dfdb3c31c2a2da4f408dd2f69a24aef5187c85f313edb04"}}, "download_size": 39953712, "post_processing_size": null, "dataset_size": 8754502, "size_in_bytes": 48708214}}

dummy/plain_text/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9cedc18b8de873d2089129da352d217ed6f7a20042e0d63f6bf58a8550118445
+size 1875

labr.py

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+# 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
+"""Arabic Book Reviews."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_DESCRIPTION = """\
+This dataset contains over 63,000 book reviews in Arabic.\
+It is the largest sentiment analysis dataset for Arabic to-date.\
+The book reviews were harvested from the website Goodreads during the month or March 2013.\
+Each book review comes with the goodreads review id, the user id, the book id, the rating (1 to 5) and the text of the review.
+"""
+
+_CITATION = """\
+@inproceedings{aly2013labr,
+  title={Labr: A large scale arabic book reviews dataset},
+  author={Aly, Mohamed and Atiya, Amir},
+  booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
+  pages={494--498},
+  year={2013}
+}
+"""
+
+_URL = "https://raw.githubusercontent.com/mohamedadaly/LABR/master/data/"
+_URLS = {
+    "train": _URL + "5class-balanced-train.txt",
+    "test": _URL + "5class-balanced-test.txt",
+    "reviews": _URL + "reviews.tsv",
+}
+
+
+class LabrConfig(datasets.BuilderConfig):
+    """BuilderConfig for Labr."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Labr.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(LabrConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+
+class Labr(datasets.GeneratorBasedBuilder):
+    """Labr dataset."""
+
+    BUILDER_CONFIGS = [
+        LabrConfig(
+            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/mohamedadaly/LABR",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+        self.reviews_path = data_dir["reviews"]
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"directory": data_dir["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"directory": data_dir["test"]}),
+        ]
+
+    def _generate_examples(self, directory):
+        """Generate examples."""
+        # For labeled examples, extract the label from the path.
+        reviews = []
+        with open(self.reviews_path, encoding="utf-8") as tsvfile:
+            tsvreader = csv.reader(tsvfile, delimiter="\t")
+            for line in tsvreader:
+                reviews.append(line)
+
+        with open(directory, encoding="utf-8") as f:
+            for id_, record in enumerate(f.read().splitlines()):
+                rating, _, _, _, review_text = reviews[int(record)]
+                yield str(id_), {"text": review_text, "label": rating}