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Conference Paper: DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

TitleDS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Authors
Lai, YuhangLi, ChengxiWang, YimingZhang, TianyiZhong, RuiqiZettlemoyer, LukeYih, Scott Wen-tauFried, DanielWang, SidaYu, Tao
Issue Date23-Jul-2023
Persistent Identifierhttp://hdl.handle.net/10722/337407

 

DC FieldValueLanguage
dc.contributor.authorLai, Yuhang-
dc.contributor.authorLi, Chengxi-
dc.contributor.authorWang, Yiming-
dc.contributor.authorZhang, Tianyi-
dc.contributor.authorZhong, Ruiqi-
dc.contributor.authorZettlemoyer, Luke-
dc.contributor.authorYih, Scott Wen-tau-
dc.contributor.authorFried, Daniel-
dc.contributor.authorWang, Sida-
dc.contributor.authorYu, Tao-
dc.date.accessioned2024-03-11T10:20:38Z-
dc.date.available2024-03-11T10:20:38Z-
dc.date.issued2023-07-23-
dc.identifier.urihttp://hdl.handle.net/10722/337407-
dc.languageeng-
dc.relation.ispartofFortieth International Conference on Machine Learning (ICML) (23/07/2023-29/07/2023, Honolulu, Hawaii, USA)-
dc.titleDS-1000: A Natural and Reliable Benchmark for Data Science Code Generation-
dc.typeConference_Paper-

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