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SLTrans

datacite.relation.isCitedBy https://arxiv.org/abs/2403.03894
dc.contributor.author Paul, Indraneil
dc.contributor.author Glavas, Goran
dc.contributor.author Gurevych, Iryna
dc.date.accessioned 2024-06-03T21:41:25Z
dc.date.available 2024-06-03T21:41:25Z
dc.date.created 2024-06-01
dc.date.issued 2024-06-03
dc.description The dataset consists of source code and LLVM IR pairs generated from accepted and de-duped programming contest solutions. The dataset is divided into language configs and mode splits. The language can be one of C, C++, D, Fortran, Go, Haskell, Nim, Objective-C, Python, Rust and Swift, indicating the source files' languages. The mode split indicates the compilation mode, which can be wither Size_Optimized or Perf_Optimized. de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4246
dc.language.iso en de_DE
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject Code de_DE
dc.subject.classification 4.43-04
dc.subject.classification 4.43-05
dc.subject.ddc 004
dc.title SLTrans de_DE
dc.type Dataset de_DE
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung
tuda.unit TUDa

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