mlsanityData to 7 Oct 2026

NAPS: Natural Program Synthesis Dataset

arXiv 1807.03168 ↗First posted 6 Jul 2018cs.LG cs.AI cs.PLcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jul 2018.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 1; 2024: 3; 2025: 2.

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