Competition

Paper: https://arxiv.org/abs/2005.00033 

Training and development data sets can be downloaded from: http://alt.qcri.org/resources/tanbih/covid19/hackathon/hackathon_clarin_data.zip

Note: developement data set has no labels.

More detail about the dataset and baseline scorer are available in https://github.com/sshaar/CLARIN-Hackathon-2020-Fighting-the-COVID19-Infodemic 

There is also a similar task for Arabic, please check here: https://competitions.codalab.org/competitions/26467

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.