PythonSaga: redefining the benchmark to evaluate code generating LLMs

dc.contributor.advisor	Singh, Mayank
dc.contributor.author	Yadav, Ankit
dc.date.accessioned	2025-09-11T15:52:53Z
dc.date.available	2025-09-11T15:52:53Z
dc.date.issued	2025
dc.identifier.citation	Yadav, Ankit. (2025). PythonSaga: redefining the benchmark to evaluate code generating LLMs. Gandhinagar: Indian Institute of Technology Gandhinagar, 91p. (Acc. No.: T01418)
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/11970
dc.description.statementofresponsibility	by Ankit Yadav
dc.format.extent	xiii, 91p.: hbk.: 30 cm
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	22270001
dc.subject	M. Tech
dc.subject	Computer Science and Engineering
dc.subject	Large Language Model (LLM)
dc.subject	Natural Language Models (NLM)
dc.subject	Code Generation
dc.subject	Programming Concepts
dc.subject	Annotation Study
dc.subject	PythonSaga
dc.title	PythonSaga: redefining the benchmark to evaluate code generating LLMs
dc.type	Thesis
dc.contributor.department	Computer Science and Engineering
dc.description.degree	M.Tech.