The production and circulation of fake content in India is a rising problem. There is a dire need to investigate the false claims made in public. This paper presents a dataset containing 22,435 fact-checked social media content to study fake news incidents in India. The dataset comprises news stories from 2013 to 2020, covering 13 different languages spoken in the country. We present a detailed description of the 14 different attributes present in the dataset. We also present the detailed characterisation of three M’s (multi-lingual, multi-media, multi-domain) in the FactDrill dataset. Lastly, we present some potential use cases of the dataset. We expect that the dataset will be a valuable resource to understand the dynamics of fake content in a multi-lingual setting in India.