Earthquakes occurring over the last decade in the Canterbury region of New Zealand have resulted in liquefaction case-history data of unprecedented quantity. This provides the profession with a unique opportunity to advance the prediction of liquefaction occurrence and consequence. Towards that end, this study presents a curated dataset of approximately 15,000 CPT-based liquefaction case-histories compiled from three earthquakes in Canterbury. The compiled, post-processed data is presented in a dense array structure, allowing researchers to easily access and analyze a wealth of information pertinent to free-field liquefaction response (i.e., triggering and surface manifestation). Research opportunities using this data include, but are not limited to, the training or testing of new and existing liquefaction-prediction models. The many methods used to obtain and process the case-history data are detailed in an accompanying data paper, as is the structure of the compiled digital file. Recommendations for analyzing the data are also outlined therein, including nuances and limitations that users should carefully consider. Version 2 (this posting) supersedes Version 1 (doi:10.17603/ds2-ydfc-cd47). Updates include: (i) Quantification of PGA uncertainties (only median values were provided in Version 1); (ii) Addition of a python data frame to facilitate greater use (only a matlab data file was provided in Version 1); and (iii) removal of several redundant data points.