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    "description": "Hausa Visual Genome (HaVG) is a dataset that contains the description of an image or a section within the image in Hausa and its equivalent in English. The dataset was prepared by automatically translating the English description of the images in the Hindi Visual Genome (HVG). The synthetic Hausa data was then carefully postedited, taking into cognizance the respective images. The data is made of 32,923 images and their descriptions that are divided into training, development, test, and challenge test set. The Hausa Visual Genome is the first dataset of its kind and can be used for Hausa-English machine translation, multi-modal research, image description, among various other natural language processing and generation tasks.\n",
    "citation": "@inproceedings{abdulmumin-etal-2022-hausa,\ntitle={{H}ausa Visual Genome: A Dataset for Multi-Modal {E}nglish to {H}ausa Machine Translation},\nauthor={Abdulmumin, Idris and Dash, Satya Ranjan and Dawud, Musa Abdullahi and Parida, Shantipriya and Muhammad, Shamsuddeen and Ahmad, Ibrahim Sa{'}id and Panda, Subhadarshi and Bojar, Ondřej and Galadanci, Bashir Shehu and Bello, Bello Shehu},\nbooktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},\nyear={2022},\naddress={Marseille, France},\npublisher={European Language Resources Association},\nurl={https://aclanthology.org/2022.lrec-1.694},\npages={6471--6479}}\n}\n",
    "homepage": "http://hdl.handle.net/11234/1-4749",
    "license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
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    "builder_name": "HausaVG",
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