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The dataset preview is not available for this split.
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: 'http://www.db.info.gifu-u.ac.jp/data/covid19.csv.bz2'
Traceback: Traceback (most recent call last):
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
rows = get_rows(
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
return func(*args, **kwargs)
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__
for key, example in ex_iterable:
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/covid_tweets_japanese/70316ee99160dcccb704308d03b68ed91011d7a2875203b12db83f2251ce3a40/covid_tweets_japanese.py", line 84, in _generate_examples
with bz2.open(filepath, "rt") as f:
File "/usr/local/lib/python3.9/bz2.py", line 319, in open
binary_file = BZ2File(filename, bz_mode, compresslevel=compresslevel)
File "/usr/local/lib/python3.9/bz2.py", line 85, in __init__
self._fp = _builtin_open(filename, mode)
FileNotFoundError: [Errno 2] No such file or directory: 'http://www.db.info.gifu-u.ac.jp/data/covid19.csv.bz2'Need help to make the dataset viewer work? Open an discussion for direct support.
Dataset Card for COVID-19 日本語Twitterデータセット (COVID-19 Japanese Twitter Dataset)
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
No articles have been published for this dataset, and it appears that the author of the dataset is willing to publish an article (it is not certain that the splitting information will be included). Therefore, at this time, information on data splits is not provided.
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 ） 」.
Contributions
Thanks to @forest1988 for adding this dataset.
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