FIRE 2018 IRMiDis track dataset: Fact-checkable tweets posted during disasters

This is the dataset used for the FIRE 2018 track on Information Retrieval from Microblogs during Disasters (IRMiDis). The dataset contains ~50K tweets (microblogs) and ~6.8K news articles posted after the 2015 Nepal earthquake. The dataset can be used for tasks such as: (i) Identifying fact-checkable tweets from among tweets posted during a disaster -- the dataset includes a gold standard set of fact-checkable tweets, (2) Identifying news articles supporting / opposing a fact-checkable tweet, etc.