The Wikipedia 'attacks' dataset <cite>(Wulczyn et al., 2017)</cite> contains approx. 115K English Wikipedia talk page comments, which were labeled as containing personal attacks or not. Each comment was labeled by at least 10 annotators. Inter-annotator agreement, measured on a random sample of 1K comments using Krippendorff's (2004) alpha, was 0.45. The gold label of each comment is determined by the majority of annotators, leading to binary labels (accept, reject). Alternatively, the gold label is the percentage of annotators that labeled the comment as 'accept' (or 'reject'), leading to probabilistic labels. 7 The dataset is split in three parts (Table 1) : training (W-ATT-TRAIN, 69,526 comments), development (W-ATT-DEV, 23,160), and test (W-ATT-TEST, 23,178). In all three parts, the rejected comments are 12%, but this is an artificial ratio (Wulczyn et al. oversampled comments posted by banned users). By contrast, the ratio of rejected comments in all the Gazzetta subsets is the truly observed one. The Wikipedia comments are also longer (median length 38 tokens) compared to Gazzetta's (median length 25 tokens).