"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
const taskData = {
    datasets: [
        {
            description: "A widely used dataset containing questions (with answers) about images.",
            id: "Graphcore/vqa",
        },
        {
            description: "A dataset to benchmark visual reasoning based on text in images.",
            id: "facebook/textvqa",
        },
    ],
    demo: {
        inputs: [
            {
                filename: "elephant.jpeg",
                type: "img",
            },
            {
                label: "Question",
                content: "What is in this image?",
                type: "text",
            },
        ],
        outputs: [
            {
                type: "chart",
                data: [
                    {
                        label: "elephant",
                        score: 0.97,
                    },
                    {
                        label: "elephants",
                        score: 0.06,
                    },
                    {
                        label: "animal",
                        score: 0.003,
                    },
                ],
            },
        ],
    },
    isPlaceholder: false,
    metrics: [
        {
            description: "",
            id: "accuracy",
        },
        {
            description: "Measures how much a predicted answer differs from the ground truth based on the difference in their semantic meaning.",
            id: "wu-palmer similarity",
        },
    ],
    models: [
        {
            description: "A visual question answering model trained to convert charts and plots to text.",
            id: "google/deplot",
        },
        {
            description: "A visual question answering model trained for mathematical reasoning and chart derendering from images.",
            id: "google/matcha-base",
        },
        {
            description: "A strong visual question answering that answers questions from book covers.",
            id: "google/pix2struct-ocrvqa-large",
        },
    ],
    spaces: [
        {
            description: "An application that compares visual question answering models across different tasks.",
            id: "merve/pix2struct",
        },
        {
            description: "An application that can answer questions based on images.",
            id: "nielsr/vilt-vqa",
        },
        {
            description: "An application that can caption images and answer questions about a given image. ",
            id: "Salesforce/BLIP",
        },
        {
            description: "An application that can caption images and answer questions about a given image. ",
            id: "vumichien/Img2Prompt",
        },
    ],
    summary: "Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.",
    widgetModels: ["dandelin/vilt-b32-finetuned-vqa"],
    youtubeId: "",
};
exports.default = taskData;
