--- configs: - config_name: dl_trans data_files: - split: train path: "CodeTrans Datasets/DLTrans/dl_train.json" - split: validation path: "CodeTrans Datasets/DLTrans/dl_valid.json" - split: test path: "CodeTrans Datasets/DLTrans/dl_test.json" - config_name: llm_trans data_files: "CodeTrans Datasets/LLMTrans/LLMTrans.json" - config_name: multilingual_trans data_files: - split: train path: "CodeTrans Datasets/MultilingualTrans/multilingual_train.json" - split: validation path: "CodeTrans Datasets/MultilingualTrans/multilingual_valid.json" - split: test path: "CodeTrans Datasets/MultilingualTrans/multilingual_test.json" - config_name: niche_trans data_files: - split: train path: "CodeTrans Datasets/NicheTrans/niche_train.json" - split: validation path: "CodeTrans Datasets/NicheTrans/niche_valid.json" - split: test path: "CodeTrans Datasets/NicheTrans/niche_test.json" --- --- license: apache-2.0 --- ### This is an exact copy of the dataset from the original github repo: https://github.com/WeixiangYAN/CodeTransOcean.git # [CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation](https://arxiv.org/abs/2310.04951)
Leaderboard   |   📄 Paper   |   Access from Google Drive datasets

**CodeTransOcean**, a large-scale comprehensive benchmark that supports the largest variety of programming languages for code translation. CodeTransOcean consists of three novel multilingual datasets, namely, **MultilingualTrans** supporting translations between multiple popular programming languages, **NicheTrans** for translating between niche programming languages and popular ones, and **LLMTrans** for evaluating executability of translated code by large language models (LLMs). CodeTransOcean also includes a novel cross-framework dataset, **DLTrans**, for translating deep learning code across different frameworks.
## Datasets 🤗[Hugging Face](https://huggingface.co/datasets/Owos/CodeTransOcean-copy) or [Google Drive](https://drive.google.com/file/d/1xw6Edqf_nknKoei_LC49n4EtvNQezKGe/view?usp=sharing) ## Code The MultilingualTrans, NicheTrans, and DLTrans datasets were experimented with on CodeT5+, and the code is in the [CodeT5+](https://github.com/WeixiangYAN/CodeTransOcean/tree/main/CodeT5%2B) file. The LLMTrans dataset was experimented with on GPT-3.5, and the code is in the [ChatGPT](https://github.com/WeixiangYAN/CodeTransOcean/tree/main/ChatGPT) file. ## Citation Please cite the paper if you use the data or code from CodeTransOcean. ``` @article{yan2023codetransocean, title={CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation}, author={Yan, Weixiang and Tian, Yuchen and Li, Yunzhe and Chen, Qian and Wang, Wen}, journal={arXiv preprint arXiv:2310.04951}, year={2023} } ``` ## Contact For questions, please feel free to reach out via email at ``yanweixiang.ywx@gmail.com``.