SEACrowd/sap_wat

The data set originates from the SAP Help Portal that contains documentation for SAP products and user assistance for product-related questions. The data has been processed in a way that makes it suitable as development and test data for machine translation purposes. The current language scope is English to Hindi, Indonesian, Japanese, Korean, Malay, Thai, Vietnamese, Simplified Chinese and Traditional Chinese. For each language pair about 4k segments are available, split into development and test data. The segments are provided in their document context and are annotated with additional metadata from the document.

Languages

eng, ind, zlm, tha, vie

Supported Tasks

Machine Translation

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/sap_wat", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("sap_wat", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("sap_wat"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://github.com/SAP/software-documentation-data-set-for-machine-translation

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Attribution Non Commercial 4.0 (cc-by-nc-4.0)

Citation

If you are using the Sap Wat dataloader in your work, please cite the following:

@inproceedings{buschbeck-exel-2020-parallel,
    title = "A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation",
    author = "Buschbeck, Bianka  and
      Exel, Miriam",
    editor = "Nakazawa, Toshiaki  and
      Nakayama, Hideki  and
      Ding, Chenchen  and
      Dabre, Raj  and
      Kunchukuttan, Anoop  and
      Pa, Win Pa  and
      Bojar, Ond{{r}}ej  and
      Parida, Shantipriya  and
      Goto, Isao  and
      Mino, Hidaya  and
      Manabe, Hiroshi  and
      Sudoh, Katsuhito  and
      Kurohashi, Sadao  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 7th Workshop on Asian Translation",
    month = dec,
    year = "2020",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wat-1.20",
    pages = "160--169",
    abstract = "This paper accompanies the software documentation data set for machine translation, a parallel 
    evaluation data set of data originating from the SAP Help Portal, that we released to the machine translation 
    community for research purposes. It offers the possibility to tune and evaluate machine translation systems 
    in the domain of corporate software documentation and contributes to the availability of a wider range of 
    evaluation scenarios. The data set comprises of the language pairs English to Hindi, Indonesian, Malay and 
    Thai, and thus also increases the test coverage for the many low-resource language pairs. Unlike most evaluation 
    data sets that consist of plain parallel text, the segments in this data set come with additional metadata that 
    describes structural information of the document context. We provide insights into the origin and creation, the 
    particularities and characteristics of the data set as well as machine translation results.",
}



@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}