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:
+- no-annotation
+language_creators:
+- found
+languages:
+- id
+licenses:
+- cc-by-4-0
+multilinguality:
+- monolingual
+size_categories:
+- n>1M
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for Indonesian Newspapers 2018
+
+## 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)
+  - [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)
+
+## Dataset Description
+
+- **Homepage:** [Indonesian Newspapers](https://github.com/feryandi/Dataset-Artikel)
+- **Repository:** [Indonesian Newspapers](https://github.com/feryandi/Dataset-Artikel)
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:** [feryandi.n@gmail.com](mailto:feryandi.n@gmail.com),
+[cahya.wirawan@gmail.com](mailto:cahya.wirawan@gmail.com)
+
+### Dataset Summary
+
+The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers: Detik, Kompas, Tempo,
+CNN Indonesia, Sindo, Republika and Poskota. The articles are dated between 1st January 2018 and 20th August 2018
+(with few exceptions dated earlier). The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB,
+and the cleaned uncompressed in a big text file (newspapers.txt.gz) is about 1GB. The original source in Google Drive
+contains also a dataset in html format which include raw data (pictures, css, javascript, ...)
+from the online news website. A copy of the original dataset is available at
+https://cloud.uncool.ai/index.php/s/mfYEAgKQoY3ebbM
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+Indonesian
+
+## Dataset Structure
+```
+{
+  'id': 'string',
+  'url': 'string',
+  'date': 'string',
+  'title': 'string',
+  'content': 'string'
+}
+```
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+- `id`: id of the sample
+- `url`: the url to the original article
+- `date`: the publishing date of the article
+- `title`: the title of the article
+- `content`: the content of the article
+
+### Data Splits
+
+The dataset contains train set.
+
+## 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
+
+[More Information Needed]

dataset_infos.json

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+{"id_newspapers_2018": {"description": "The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers: Detik, Kompas, Tempo,\nCNN Indonesia, Sindo, Republika and Poskota. The articles are dated between 1st January 2018 and 20th August 2018\n(with few exceptions dated earlier). The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB,\nand the cleaned uncompressed in a big text file (newspapers.txt.gz) is about 1GB. The original source in Google Drive\ncontains also a dataset in html format which include raw data (pictures, css, javascript, ...)\nfrom the online news website\n", "citation": "@inproceedings{id_newspapers_2018,\n  author    = {},\n  title     = {Indonesian Newspapers 2018},\n  year      = {2019},\n  url       = {https://github.com/feryandi/Dataset-Artikel},\n}\n", "homepage": "https://github.com/feryandi/Dataset-Artikel", "license": "Creative Commons Attribution-ShareAlike 4.0 International Public License", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "id_newspapers2018", "config_name": "id_newspapers_2018", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1116031922, "num_examples": 499164, "dataset_name": "id_newspapers2018"}}, "download_checksums": {"http://cloud.uncool.ai/index.php/s/kF83dQHfGeS2LX2/download": {"num_bytes": 446018349, "checksum": "9fbafe1f5797316aab786af488bc8d5442b5ee17490d41d0705f8cc1cb93ee1c"}}, "download_size": 446018349, "post_processing_size": null, "dataset_size": 1116031922, "size_in_bytes": 1562050271}}

dummy/id_newspapers_2018/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8c809dc501acb917b189422ff21296a204b0223772d9b13c00f18192563ce13d
+size 1718

id_newspapers_2018.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.
+"""Indonesian Newspapers 2018"""
+
+from __future__ import absolute_import, division, print_function
+
+import glob
+import json
+import logging
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{id_newspapers_2018,
+  author    = {},
+  title     = {Indonesian Newspapers 2018},
+  year      = {2019},
+  url       = {https://github.com/feryandi/Dataset-Artikel},
+}
+"""
+
+_DESCRIPTION = """\
+The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers: Detik, Kompas, Tempo,
+CNN Indonesia, Sindo, Republika and Poskota. The articles are dated between 1st January 2018 and 20th August 2018
+(with few exceptions dated earlier). The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB,
+and the cleaned uncompressed in a big text file (newspapers.txt.gz) is about 1GB. The original source in Google Drive
+contains also a dataset in html format which include raw data (pictures, css, javascript, ...)
+from the online news website
+"""
+
+_HOMEPAGE = "https://github.com/feryandi/Dataset-Artikel"
+
+_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International Public License"
+
+_URLs = ["http://cloud.uncool.ai/index.php/s/kF83dQHfGeS2LX2/download"]
+
+
+class IdNewspapers2018Config(datasets.BuilderConfig):
+    """BuilderConfig for IdNewspapers2018"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for IdNewspapers2018.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(IdNewspapers2018Config, self).__init__(**kwargs)
+
+
+class IdNewspapers2018(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        IdNewspapers2018Config(
+            name="id_newspapers_2018",
+            version=VERSION,
+            description="IdNewspapers2018 dataset",
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "url": datasets.Value("string"),
+                "date": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "content": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        my_urls = _URLs[0]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "article_dir": os.path.join(data_dir, "newspapers"),
+                    "split": "train",
+                },
+            )
+        ]
+
+    def _generate_examples(self, article_dir, split):
+        logging.info("⏳ Generating %s examples from = %s", split, article_dir)
+        id = 0
+        for path in sorted(glob.glob(os.path.join(article_dir, "**/*.json"), recursive=True)):
+            with open(path, encoding="utf-8") as f:
+                data = json.load(f)
+                yield id, {
+                    "id": str(id),
+                    "url": data["url"],
+                    "date": data["date"],
+                    "title": data["title"],
+                    "content": data["content"],
+                }
+            id += 1