{
 "id": "SEACrowd/uit_vihsd",
 "owner": "SEACrowd",
 "name": "uit_vihsd",
 "downloads": 71,
 "likes": 0,
 "last_modified": "2024-06-24T13:25:31.000Z",
 "stated_licence": "unknown",
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 "citation": "@InProceedings{10.1007/978-3-030-79457-6_35,\nauthor=\"Luu, Son T.\nand Nguyen, Kiet Van\nand Nguyen, Ngan Luu-Thuy\",\neditor=\"Fujita, Hamido\nand Selamat, Ali\nand Lin, Jerry Chun-Wei\nand Ali, Moonis\",\ntitle=\"A Large-Scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts\",\nbooktitle=\"Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices\",\nyear=\"2021\",\npublisher=\"Springer International Publishing\",\naddress=\"Cham\",\npages=\"415--426\",\nabstract=\"In recent years, Vietnam witnesses the mass development of social network users on different social\nplatforms such as Facebook, Youtube, Instagram, and Tiktok. On social media, hate speech has become a critical\nproblem for social network users. To solve this problem, we introduce the ViHSD - a human-annotated dataset for\nautomatically detecting hate speech on the social network. This dataset contains over 30,000 comments, each comment\nin the dataset has one of three labels: CLEAN, OFFENSIVE, or HATE. Besides, we introduce the data creation process\nfor annotating and evaluating the quality of the dataset. Finally, we evaluate the dataset by deep learning and transformer models.\",\nisbn=\"978-3-030-79457-6\"\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 an",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "6f650d4597b5ac09072b13e919a848a63de5ffcb",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/uit_vihsd/blob/6f650d4597b5ac09072b13e919a848a63de5ffcb/README.md",
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}