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We release MMSMR, a Massively Multi-System MultiReference dataset to enablefuture work on metrics and evaluation for dialog. Automatic metrics fordialogue evaluation should be robust proxies for human judgments; however, theverification of robustness is currently far from satisfactory. To quantify therobustness correlation and understand what is necessary in a test set, wecreate and release an 8-reference dialog dataset by extending single-referenceevaluation sets and introduce this new language learning conversation dataset.We then train 1750 systems and evaluate them on our novel test set and theDailyDialog dataset. We release the novel test set, and model hyper parameters,inference outputs, and metric scores for each system on a variety of datasets.

How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation