Code completion (PY150, GitHub Java Corpus). A model is tasked with predicting following tokens given a code context. Both token-level and line-level completion are covered. The token-level task is analogous to language modeling, and we include two influential datasets here. Line-level datasets...
Code completion (PY150, GitHub Java Corpus). A model is tasked with predicting following tokens given a code context. Both token-level and line-level completion are covered. The token-level task is analogous to language modeling, and we include two influential datasets here. Line-level datasets...
Code completion (PY150, GitHub Java Corpus). A model is tasked with predicting following tokens given a code context. Both token-level and line-level completion are covered. The token-level task is analogous to language modeling, and we include two influential datasets here. Line-level datasets...
你也可以从[CodeXGLUE](https://github.com/microsoft/CodeXGLUE)等外源数据集中自行导入数据,并将数据按说明转换为默认格式。 你也可以从[CodeXGLUE](https://github.com/microsoft/CodeXGLUE)等外源数据集中自行导入数据,并将数据按说明转换为默认格式。或者,使用以下代码下载到/data/to/codexglue: ```bash cd /dat...
近期,微软亚洲研究院(自然语言计算组)联合 Visual Studio 和必应搜索发布了代码智能领域首个大规模多任务的新基准——CodeXGLUE(https://github.com/microsoft/CodeXGLUE)。该基准可覆盖 code-code、code-text、text-code、text-text 四个类别,包含10个任务及14个数据集,具体有:代码克隆检测、代码缺陷检测、代码完形...
近期,微软亚洲研究院(自然语言计算组)联合 Visual Studio 和必应搜索发布了代码智能领域首个大规模多任务的新基准——CodeXGLUE(https://github.com/microsoft/CodeXGLUE)。该基准可覆盖 code-code、code-text、text-code、text-text 四个类别,包含10个任务及14个数据集,具体有:代码克隆检测、代码缺陷检测、代码完形...
Code-Text/code-to-text code evaluator runs README.md Text-Code CODE_OF_CONDUCT.md Data_LICENCE LICENSE README.md SECURITY.md index.html codegen_sources data docs .gitignore CODE_OF_CONDUCT.md CONTRIBUTING.md LICENSE README.md ci_requirements.txt install_env.shBreadcrumbs CodeGen /CodeXGLUE /...
Hi, I am trying to run CodeGPT (for text to code task), I followed exactly the same steps but I am getting this error: Traceback (most recent call last): File "run.py", line 653, in main() File "run.py", line 640, in main global_step, tr...
通过混淆代码片段、增加海量开源代码作为训练集、提高批尺寸等精调方法,实现了UniXcoder-VESO-v1算法,该算法在公开测试数据集(CodeXGLUE [10])上的代码搜索任务评测结果上取得突破:平均倒数排序值(MRR)达到0.58,CodeXGLUE榜单上排名中第一(如下图所示: UniXcoder-VESO-v1, 详见https://microsoft.github.io/...
But you have used flag for support of torchscript athttps://github.com/microsoft/CodeXGLUE/blob/3e7bfe6dc4a88534c7803ce1bd8d1733c1d16888/Code-Text/code-to-text/code/model.pyLine no. 42. The code is directly copied fromhere. I guess the problem comes frombeam search. I will try to ...