Datasets:

Languages:
Indonesian
ArXiv:
License:
ind_proner / README.md
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metadata
license: cc-by-4.0
language:
  - ind
pretty_name: Ind Proner
task_categories:
  - named-entity-recognition
tags:
  - named-entity-recognition

Indonesian PRONER is a corpus for Indonesian product named entity recognition . It contains data was labeled manually and data that was labeled automatically through a semi-supervised learning approach of conditional random fields (CRF).

Languages

ind

Supported Tasks

Named Entity Recognition

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
    dset = sc.load_dataset("ind_proner", schema="seacrowd")
# Check all available subsets (config names) of the dataset
    print(sc.available_config_names("ind_proner"))
# 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](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).

Dataset Homepage

https://github.com/dziem/proner-labeled-text

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Attribution 4.0 (cc-by-4.0)

Citation

If you are using the Ind Proner dataloader in your work, please cite the following:

@INPROCEEDINGS{9212879,
  author={Akmal, Muhammad and Romadhony, Ade},
  booktitle={2020 International Conference on Data Science and Its Applications (ICoDSA)},
  title={Corpus Development for Indonesian Product Named Entity Recognition Using Semi-supervised Approach},
  year={2020},
  volume={},
  number={},
  pages={1-5},
  keywords={Feature extraction;Labeling;Buildings;Semisupervised learning;Training data;Text recognition;Manuals;proner;semi-supervised learning;crf},
  doi={10.1109/ICoDSA50139.2020.9212879}
}


@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}
}