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Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark

First seen · 7/4/2026, 03:30 AMLatest activity · 7/4/2026, 03:30 AM

This paper introduces a scientific code search corpus and two retrieval benchmarks designed around domain-specific research workflows. The corpus contains 5,264 curated, domain-classified repositories spanning five NASA Science Mission Directorate divisions: Earth Science, Astrophysics, Planetary Science, Heliophysics, and Biological & Physical Sciences. It also provides cleaned READMEs, extracted topics, and linked context. The benchmarks include 219 expert-authored repository-search queries and a large code-snippet retrieval task with 117,950 snippets and 119,720 queries across seven programming languages. Baselines show substantial variation across scientific domains, documentation practices, coding standards, and languages.

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  1. AggregatorarXiv7/4, 03:30 AMnot independentRepresentative
    Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark