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NAPS: Natural Program Synthesis Dataset

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arxiv 1807.03168 v1 pith:XE2QBDQR submitted 2018-07-06 cs.LG cs.AIcs.PLstat.ML

Maksym Zavershynskyi , Alex Skidanov , Illia Polosukhin This is my paper · ORCID
classification cs.LGcs.AIcs.PLstat.ML
keywords datasetprogramsolutionsproblemstatementssynthesiswereaccompanied
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We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems. The problem statements were collected via crowdsourcing and the program solutions were extracted from human-written solutions in programming competitions, accompanied by input/output examples. We propose using this dataset for the program synthesis tasks aimed for working with real user-generated data. As a baseline we present few models, with the best model achieving 8.8% accuracy, showcasing both the complexity of the dataset and large room for future research.

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