code-philia/mtpnet_image_models

该数据集包含了多个模型训练过程，涉及代码克隆检测、代码补全、代码缺陷检测、代码优化、代码到文本转换、代码搜索、文本到代码生成、图自编码器、图像分类等任务。数据集包括BigCloneBench、POJ-104、Java代码token序列、C语言代码数据集、多语言代码-文本对数据集、自然语言-(python)代码对数据集、Web查询-代码对数据集（CodeSearchNet数据集和CoSQA数据集）、分子属性预测数据集、CIFAR-10数据集等。

The dataset consists of multiple model training processes, covering tasks such as code clone detection, code completion, code defect detection, code optimization, code-to-text conversion, code search, text-to-code generation, graph autoencoder, image classification, etc. The datasets include BigCloneBench, POJ-104, Java code token sequences, C language code datasets, multilingual code-text pair datasets, natural language-(python) code pair datasets, Web query-code pair datasets (CodeSearchNet dataset and CoSQA dataset), molecular property prediction datasets, CIFAR-10 datasets, etc.