{
 "id": "SEACrowd/uit_viic",
 "owner": "SEACrowd",
 "name": "uit_viic",
 "downloads": 62,
 "likes": 1,
 "last_modified": "2024-06-24T13:27:41.000Z",
 "stated_licence": "unknown",
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 "sources": [],
 "gated": false,
 "tasks": [
  "image-captioning"
 ],
 "citation": "@InProceedings{10.1007/978-3-030-63007-2_57,\nauthor=\"Lam, Quan Hoang\nand Le, Quang Duy\nand Nguyen, Van Kiet\nand Nguyen, Ngan Luu-Thuy\",\neditor=\"Nguyen, Ngoc Thanh\nand Hoang, Bao Hung\nand Huynh, Cong Phap\nand Hwang, Dosam\nand Trawi{'{n}}ski, Bogdan\nand Vossen, Gottfried\",\ntitle=\"UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning\",\nbooktitle=\"Computational Collective Intelligence\",\nyear=\"2020\",\npublisher=\"Springer International Publishing\",\naddress=\"Cham\",\npages=\"730--742\",\nabstract=\"Image Captioning (IC), the task of automatic generation of image captions, has attracted\nattentions from researchers in many fields of computer science, being computer vision, natural language\nprocessing and machine learning in recent years. This paper contributes to research on Image Captioning\ntask in terms of extending dataset to a different language - Vietnamese. So far, there has been no existed\nImage Captioning dataset for Vietnamese language, so this is the foremost fundamental step for developing\nVietnamese Image Captioning. In this scope, we first built a dataset which contains manually written\ncaptions for images from Microsoft COCO dataset relating to sports played with balls, we called this dataset\nUIT-ViIC (University Of Information Technology - Vietnamese Image Captions). UIT-ViIC consists of 19,250\nVietnamese captions for 3,850 images. Following that, we evaluated our dataset on deep neural network models\nand did comparisons with English dataset and two Vietn",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "ace624b91302bd39ad184ca9f746a1de88dd9f15",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/uit_viic/blob/ace624b91302bd39ad184ca9f746a1de88dd9f15/README.md",
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}