README.md

metadata

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

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 or Google Drive

Code

The MultilingualTrans, NicheTrans, and DLTrans datasets were experimented with on CodeT5+, and the code is in the CodeT5+ file.

The LLMTrans dataset was experimented with on GPT-3.5, and the code is in the 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 [email protected].