Fighting the COVID-19 Infodemic (Arabic)

Organized by hmubarak - Current server time: Jan. 18, 2021, 7:38 a.m. UTC

First phase

Development phase
Sept. 23, 2020, midnight UTC


Competition Ends
Oct. 15, 2020, 8:26 p.m. UTC
Fighting the COVID-19 Infodemic:
Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
The purpose of this task is to classify tweets that are posted on Twitter about Covid19 all over the world.
Detailed annotation instructions with example tweets can be found here:


Training and development data sets can be downloaded from:

Note: developement data set has no labels.

More detail about the dataset and baseline scorer are available in

There is also a similar task for English, please check here:


Data Preparation

The training file consist of 9 columns as follows:

  • tweet no: an index mapping tweet id

  • tweet_text: corresponds to the original text of a given tweet as downloaded from Twitter

  • Q1_label to Q7_label: corresponds to the label for question 1 to 7

 For some questions there will be a label with “nan”. For the experiment with a particular question, entries with the label “nan” have to be removed.


Classification Experiments:

The class labels consist of “yes” and “no”, therefore, the model will be trained with binary labels, which will also predict binary labels for each question.

Evaluation Criteria

Classification systems will be evaluated using the average of macro-averaged F1-scores for Questions 1 to 7.

Terms and Conditions

Terms of Use are available at:

Download Size (mb) Phase
Starting Kit 0.000 #1 Development phase

Development phase

Start: Sept. 23, 2020, midnight

Test phase

Start: Oct. 14, 2020, midnight

Competition Ends

Oct. 15, 2020, 8:26 p.m.

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