GameWikiSum: a Novel Large Multi-Document Summarization Dataset
Table 3: Game distribution over platforms with their average and standard deviation number of input documents and ROUGE scores.
['[BOLD] Platform', '[BOLD] # Games', '[BOLD] # Documents', '[BOLD] ROUGE-1 R', '[BOLD] ROUGE-2 R']
We divide GameWikiSum into train, validation and testing sets with a rough ratio of 80/10/10, resulting in 11744, 1454 and 1454 examples respectively. If a game has been released on several platforms (represented by different samples), we group them in the same subset to avoid review overlap between training, validation, and testing. We compute in addition the mean number of input documents, ROUGE-1, and ROUGE-2 scores of the output given the input. We observe that most platforms have a mean ROUGE-1 score above 80 and 30 for ROUGE-2.