{
 "id": "community-datasets/id_clickbait",
 "owner": "community-datasets",
 "name": "id_clickbait",
 "downloads": 192,
 "likes": 5,
 "last_modified": "2024-01-18T11:06:03.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@article{WILLIAM2020106231,\ntitle = \"CLICK-ID: A novel dataset for Indonesian clickbait headlines\",\njournal = \"Data in Brief\",\nvolume = \"32\",\npages = \"106231\",\nyear = \"2020\",\nissn = \"2352-3409\",\ndoi = \"https://doi.org/10.1016/j.dib.2020.106231\",\nurl = \"http://www.sciencedirect.com/science/article/pii/S2352340920311252\",\nauthor = \"Andika William and Yunita Sari\",\nkeywords = \"Indonesian, Natural Language Processing, News articles, Clickbait, Text-classification\",\nabstract = \"News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2]. However, the majority of the tasks has been focused on English news, in which there is already a rich representative resource. For other languages, such as Indonesian, there is still a lack of resource for clickbait tasks. Therefore, we introduce the CLICK-ID dataset of Indonesian news headlines extracted from 12 Indonesian online news publishers. It is comprised of 15,000 annotated headlines with clickbait and non-clickbait labels. Using the CLICK-ID dataset, we then developed an Indonesian clickbait classification model achieving favourable performance. We believe that this corpus will be useful for replicable experiments in clickbait detection or other experiments in NLP areas.\"\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "513e6fc17cf5600fd27b95821692b77c8cb893d4",
 "stated_evidence": "https://huggingface.co/datasets/community-datasets/id_clickbait/blob/513e6fc17cf5600fd27b95821692b77c8cb893d4/README.md",
 "file_evidence": "https://huggingface.co/datasets/community-datasets/id_clickbait/tree/513e6fc17cf5600fd27b95821692b77c8cb893d4",
 "card_nc": false
}