Update files from the datasets library (from 1.8.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.8.0

covid_tweets_japanese.py

@@ -23,7 +23,7 @@ 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）"
+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/covid-19-twitter-dataset/）"
 """
 
 _DESCRIPTION = """\
@@ -32,14 +32,14 @@ Target tweets include "COVID" or "コロナ". The period of the tweets is from a
 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"
+_HOMEPAGE = "http://www.db.info.gifu-u.ac.jp/covid-19-twitter-dataset/"
 
 _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",
+    "url": "http://www.db.info.gifu-u.ac.jp/data/covid19.csv.bz2",
 }
 
 

dataset_infos.json

@@ -1 +1 @@
-{"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}}
+{"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, "task_templates": null, "builder_name": "covid_tweets_japanese", "config_name": "default", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "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/covid19.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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6374a010e20a5e8994f5b5c51dab1e9f3f2b536255cc66ffca407247db20b40e
-size 472
+oid sha256:0a7b9208ffb084d65e92c8c3dd04c1f1fae05b28d2bcc11dc7f39c6c36d21476
+size 478