const taskData = {
    datasets: [
        {
            // TODO write proper description
            description: "Dataset from 12M image-text of Reddit",
            id: "red_caps",
        },
        {
            // TODO write proper description
            description: "Dataset from 3.3M images of Google",
            id: "datasets/conceptual_captions",
        },
    ],
    demo: {
        inputs: [
            {
                filename: "savanna.jpg",
                type: "img",
            },
        ],
        outputs: [
            {
                label: "Detailed description",
                content: "a herd of giraffes and zebras grazing in a field",
                type: "text",
            },
        ],
    },
    metrics: [],
    models: [
        {
            description: "Strong OCR model.",
            id: "allenai/olmOCR-7B-0725",
        },
        {
            description: "Powerful image captioning model.",
            id: "fancyfeast/llama-joycaption-beta-one-hf-llava",
        },
    ],
    spaces: [
        {
            description: "SVG generator app from images.",
            id: "multimodalart/OmniSVG-3B",
        },
        {
            description: "An application that converts documents to markdown.",
            id: "numind/NuMarkdown-8B-Thinking",
        },
        {
            description: "An application that can caption images.",
            id: "fancyfeast/joy-caption-beta-one",
        },
    ],
    summary: "Image to text models output a text from a given image. Image captioning or optical character recognition can be considered as the most common applications of image to text.",
    widgetModels: ["Salesforce/blip-image-captioning-large"],
    youtubeId: "",
};
export default taskData;
