The wide spread of unfounded election fraud claims surrounding the U.S. 2020\nelection had resulted in undermining of trust in the election, culminating in\nviolence inside the U.S. capitol. Under these circumstances, it is critical to\nunderstand the discussions surrounding these claims on Twitter, a major\nplatform where the claims were disseminated. To this end, we collected and\nreleased the VoterFraud2020 dataset, a multi-modal dataset with 7.6M tweets and\n25.6M retweets from 2.6M users related to voter fraud claims. To make this data\nimmediately useful for a diverse set of research projects, we further enhance\nthe data with cluster labels computed from the retweet graph, each user's\nsuspension status, and the perceptual hashes of tweeted images. The dataset\nalso includes aggregate data for all external links and YouTube videos that\nappear in the tweets. Preliminary analyses of the data show that Twitter's user\nsuspension actions mostly affected a specific community of voter fraud claim\npromoters, and exposes the most common URLs, images and YouTube videos shared\nin the data.\n