Reviews: SPoC: Search-based Pseudocode to Code

Main contributions: * New dataset of line-by-line, human-generated pseudocode for learning to map from descriptions to source code. The first stage generates a set of candidate translations from pseudocode to code for each line. The second stage enumerates over combinations of candidates, tries compiling them, and then learns to use the error messages to prioritize which combinations to explore next. There are three well-qualified reviewers who did a great job with their reviews and were active in the discussions. The discussions centered around the following points: * Is this dataset a step forward compared to NAPS?