evaluation-task · Source-linked discovery
APPS: Automated Programming Progress Standard
APPS is a dataset for evaluating model performance on Python programming tasks across three difficulty levels consisting of 1,000 at introductory, 3,000 at interview, and 1,000 at competition level. The dataset consists of an additional 5,000 training samples, for a total of 10,000 total samples. We evaluate on questions from the test split, which consists of programming problems commonly found in coding interviews.
OriginDan Hendrycks, Steven Basart, Saurav Kadavath et al.TopicsGeneral capabilityStatusimported
Can support
Not independently assessed by FronteraEval yet.
Cannot support by itself
No inference beyond the upstream source should be made until the protocol is reviewed.