基准数据(Benchmark Dataset)对一个领域的发展至关重要。例如,ImageNet(斯坦福大学)极大地推动了计算机视觉领域的发展,类似包含多种任务的 GLUE(纽约大学)和 XGLUE(https://microsoft.github.io/XGLUE/,微软亚洲研究院自然语言计算组)数据集在自然语言处理领域也产生了非常深远的影响。近年来,统计机器学习算法,尤其是...
论文笔记 | CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation,程序员大本营,技术文章内容聚合第一站。
基准数据(Benchmark Dataset)对一个领域的发展至关重要。例如,ImageNet(斯坦福大学)极大地推动了计算机视觉领域的发展,类似包含多种任务的 GLUE(纽约大学)和 XGLUE(https://microsoft.github.io/XGLUE/,微软亚洲研究院自然语言计算组)数据集在自然语言处理领域也产生了非常深远的影响。近年来,统计机器学习算法,尤其是...
Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine learning research for program understanding and generation. CodeXGLUE includes a collection of...
However, the area of code intelligence lacks a benchmark suite that covers a wide range of tasks. We have seen that a diversified benchmark dataset is significant for the growth of an area of applied AI research, like ImageNet for computer vision and GLUE for NLP. To address this, ...
(NLP). These models, includingIntelliCodeandCodeBERT, obtain further improvements on code understanding and generation problems. However, the area of code intelligence lacks a benchmark suite that covers a wide range of tasks. We have seen that a diversified benchmark dataset is significant for the...
基准数据(Benchmark Dataset)对一个领域的发展至关重要。例如,ImageNet(斯坦福大学)极大地推动了计算机视觉领域的发展,类似包含多种任务的 GLUE(纽约大学)和 XGLUE(https://microsoft.github.io/XGLUE/,微软亚洲研究院自然语言计算组)数据集在自然语言处理领域也产生了非常深远的影响。近年来,统计机器学习算法,尤其是...
基准数据(Benchmark Dataset)对一个领域的发展至关重要。例如,ImageNet(斯坦福大学)极大地推动了计算机视觉领域的发展,类似包含多种任务的 GLUE(纽约大学)和 XGLUE(https://microsoft.github.io/XGLUE/,微软亚洲研究院自然语言计算组)数据集在自然语言处理领域也产生了非常深远的影响。近年来,统计机器学习算法,尤其是...
(opens in new tab), obtain further improvements on code understanding and generation problems. However, the area of code intelligence lacks a benchmark suite that covers a wide range of tasks. We have seen that a diversified benchmark dataset is significant for the growth of an are...
54 changes: 54 additions & 0 deletions 54 applications/benchmark/codexglue/run_codexglue_devign.sh Original file line numberDiff line numberDiff line change @@ -0,0 +1,54 @@ ### pre-trained lm path path=/root/autodl-tmp/CodePrompt/data/huggingface_models/codebert-base/ MODEL_TYPE=codeber...