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The Ethereal
NAPS: Natural Program Synthesis Dataset
July 06, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Maksym Zavershynskyi, Alex Skidanov, Illia Polosukhin
arXiv ID
1807.03168
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.PL,
stat.ML
Citations
37
Venue
arXiv.org
Last Checked
6 months ago
Abstract
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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