before_revision: We describe Mega-COV, a billion-scale dataset from Twitter for studying COVID-19. The dataset is diverse (covers 234 countries), longitudinal (goes as back as 2007), multilingual (comes in 65 languages), and has a significant number of location-tagged tweets ( ~32M tweets). We release tweet IDs from the dataset , hoping it will be useful for studying various phenomena related to the ongoing pandemic and accelerating viable solutions to associated problems.
after_revision: We describe Mega-COV, a billion-scale dataset from Twitter for studying COVID-19. The dataset is diverse (covers 268 countries), longitudinal (goes as back as 2007), multilingual (comes in 100+ languages), and has a significant number of location-tagged tweets ( 169M tweets). We release tweet IDs from the dataset . We also develop and release a powerful model (acc=94\%)
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