Dataset:

Task Categories: text-classification
Languages: ja
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: found
Annotations Creators: crowdsourced
Source Datasets: original

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.

Models trained or fine-tuned on covid_tweets_japanese

None yet