{"task":"Code Search","dataset":"CodeXGLUE - WebQueryTest","metric_names":["Accuracy","F1"],"rows":[{"id":73076,"task":"Code Search","parent_task":null,"dataset":"CodeXGLUE - WebQueryTest","model_name":"CodeBERT","metrics":{"Accuracy":"47.8","F1":"58.95"},"paper_url":"https://arxiv.org/abs/2102.04664v2","paper_title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","paper_date":"2021-02-09","code_links":[{"title":"microsoft/CodeXGLUE","url":"https://github.com/microsoft/CodeXGLUE"},{"title":"facebookresearch/CodeGen","url":"https://github.com/facebookresearch/CodeGen"},{"title":"sberbank-ai/fusion_brain_aij2021","url":"https://github.com/sberbank-ai/fusion_brain_aij2021"},{"title":"kilimanj4r0/code-summarization-beyond-function-level","url":"https://github.com/kilimanj4r0/code-summarization-beyond-function-level"},{"title":"yueyuel/programgen-lms-reliability","url":"https://github.com/yueyuel/programgen-lms-reliability"},{"title":"Avmb/semantic_neq_game","url":"https://github.com/Avmb/semantic_neq_game"},{"title":"deeplearnxmu/unigencoder","url":"https://github.com/deeplearnxmu/unigencoder"}],"metrics_order":"[\"Accuracy\", \"F1\"]","area":"Computer Code","uses_additional_data":0,"source":"archive","tags":[]}]}