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:
+- crowdsourced
+language_creators:
+- found
+languages:
+- ja
+licenses:
+- cc-by-nd-4-0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- fact-checking
+---
+
+# Dataset Card for COVID-19 日本語Twitterデータセット (COVID-19 Japanese Twitter Dataset)
+
+## 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:** [COVID-19 日本語Twitterデータセット homepage](http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1)
+- **Repository:** [N/A]
+- **Paper:** [N/A]
+- **Leaderboard:** [N/A]
+- **Point of Contact:** Check the homepage.
+
+### Dataset Summary
+
+53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. The annotation is by majority decision by 5 - 10 crowd workers. Target tweets include "COVID" or "コロナ". The period of the tweets is from around January 2020 to around June 2020. The original tweets are not contained. Please use Twitter API to get them, for example.
+
+### Supported Tasks and Leaderboards
+
+Text-classification, Whether the tweet is related to COVID-19, and whether it is fact or opinion.
+
+### Languages
+
+The text can be gotten using the IDs in this dataset is Japanese, posted on Twitter.
+
+## Dataset Structure
+
+### Data Instances
+
+CSV file with the 1st column is Twitter ID and the 2nd column is assessment option ID.
+
+### Data Fields
+
+- `tweet_id`: Twitter ID.
+- `assessment_option_id`: The selection result. It has the following meanings:
+  - 63: a general fact: generally published information, such as news.
+  - 64: a personal fact: personal news. For example, a person heard that the next-door neighbor, XX, has infected COVID-19, which has not been in a news.
+  - 65: an opinion/feeling
+  - 66: difficult to determine if they are related to COVID-19 (it is definitely the tweet is not "67: unrelated", but 63, 64, 65 cannot be determined)
+  - 67: unrelated
+  - 68: it is a fact, but difficult to determine whether general facts, personal facts, or impressions (it may be irrelevant to COVID-19 since it is indistinguishable between 63 - 65 and 67).
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed] because the paper is not yet published.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. Target tweets include "COVID" or "コロナ". The period of the tweets is from around January 2020 to around June 2020.
+
+#### Who are the source language producers?
+
+The language producers are users of Twitter.
+
+### Annotations
+
+#### Annotation process
+
+The annotation is by majority decision by 5 - 10 crowd workers.
+
+#### Who are the annotators?
+
+Crowd workers.
+
+### Personal and Sensitive Information
+
+The author does not contain original tweets.
+
+## 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
+
+The dataset is hosted by Suzuki Laboratory, Gifu University, Japan.
+
+### Licensing Information
+
+CC-BY-ND 4.0
+
+### Citation Information
+
+A related paper has not yet published.
+The author shows how to cite as「鈴木 優: COVID-19 日本語 Twitter データセット（http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1）」.

covid_tweets_japanese.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.
+"""COVID-19 Japanese Tweets Dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import bz2
+import csv
+
+import datasets
+
+
+_CITATION = """\
+No paper about this dataset is published yet. \
+Please cite this dataset as "鈴木 優: COVID-19 日本語 Twitter データセット （http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1）"
+"""
+
+_DESCRIPTION = """\
+53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. The annotation is by majority decision by 5 - 10 crowd workers. \
+Target tweets include "COVID" or "コロナ". The period of the tweets is from around January 2020 to around June 2020. \
+The original tweets are not contained. Please use Twitter API to get them, for example.
+"""
+
+_HOMEPAGE = "http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1"
+
+_LICENSE = "CC-BY-ND 4.0"
+
+# The HuggingFace dataset library don't host the datasets but only point to the original files
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URLs = {
+    "url": "http://www.db.info.gifu-u.ac.jp/data/data.csv.bz2",
+}
+
+
+class CovidTweetsJapanese(datasets.GeneratorBasedBuilder):
+    """COVID-19 Japanese Tweets Dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "tweet_id": datasets.Value("string"),
+                "assessment_option_id": datasets.ClassLabel(names=["63", "64", "65", "66", "67", "68"]),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        my_urls = _URLs["url"]
+        # data_url = dl_manager.download_and_extract(my_urls)
+        data_url = dl_manager.download(my_urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": data_url, "split": "train"},
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+
+        with bz2.open(filepath, "rt") as f:
+            data = csv.reader(f)
+            _ = next(data)
+            for id_, row in enumerate(data):
+                yield id_, {
+                    "tweet_id": row[0],
+                    "assessment_option_id": row[1],
+                }

dataset_infos.json

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+{"default": {"description": "53,640 Japanese tweets with annotation if a tweet is related to COVID-19 or not. The annotation is by majority decision by 5 - 10 crowd workers. Target tweets include \"COVID\" or \"\u30b3\u30ed\u30ca\". The period of the tweets is from around January 2020 to around June 2020. The original tweets are not contained. Please use Twitter API to get them, for example.\n", "citation": "No paper about this dataset is published yet. Please cite this dataset as \"\u9234\u6728 \u512a: COVID-19 \u65e5\u672c\u8a9e Twitter \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 \uff08http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1\uff09\"\n", "homepage": "http://www.db.info.gifu-u.ac.jp/data/Data_5f02db873363f976fce930d1", "license": "CC-BY-ND 4.0", "features": {"tweet_id": {"dtype": "string", "id": null, "_type": "Value"}, "assessment_option_id": {"num_classes": 6, "names": ["63", "64", "65", "66", "67", "68"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "covid_tweets_japanese", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1662833, "num_examples": 53639, "dataset_name": "covid_tweets_japanese"}}, "download_checksums": {"http://www.db.info.gifu-u.ac.jp/data/data.csv.bz2": {"num_bytes": 406005, "checksum": "b1023e49df7717db7eedf3b318511b6163ec2651cbf78a8d72f7e1e0bc3fd4c6"}}, "download_size": 406005, "post_processing_size": null, "dataset_size": 1662833, "size_in_bytes": 2068838}}

dummy/1.1.0/dummy_data.zip

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