{
 "id": "SEACrowd/smsa",
 "owner": "SEACrowd",
 "name": "smsa",
 "downloads": 205,
 "likes": 0,
 "last_modified": "2024-06-24T13:29:31.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "sentiment-analysis"
 ],
 "citation": "@INPROCEEDINGS{8904199,\n    author={Purwarianti, Ayu and Crisdayanti, Ida Ayu Putu Ari},\n    booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},\n    title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector},\n    year={2019},\n    pages={1-5},\n    doi={10.1109/ICAICTA.2019.8904199}\n}\n\n@inproceedings{wilie2020indonlu,\n  title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\n  author={Wilie, Bryan and Vincentio, Karissa and Winata, Genta Indra and Cahyawijaya, Samuel and Li, Xiaohong and Lim, Zhi Yuan and Soleman, Sidik and Mahendra, Rahmad and Fung, Pascale and Bahar, Syafri and others},\n  booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\n  pages={843--857},\n  year={2020}\n}\n\n\n@article{lovenia2024seacrowd,\n    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, \n    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",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "43c438b0f9dedec044237e5ec10b17ee3d932d55",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/smsa/blob/43c438b0f9dedec044237e5ec10b17ee3d932d55/README.md",
 "file_evidence": "https://huggingface.co/datasets/SEACrowd/smsa/blob/43c438b0f9dedec044237e5ec10b17ee3d932d55/LICENSE",
 "card_nc": false
}