const taskData = {
    datasets: [
        {
            description: "A widely used dataset used to benchmark multiple variants of text classification.",
            id: "nyu-mll/glue",
        },
        {
            description: "The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information.",
            id: "nyu-mll/multi_nli",
        },
        {
            description: "FEVER is a publicly available dataset for fact extraction and verification against textual sources.",
            id: "fever/fever",
        },
    ],
    demo: {
        inputs: [
            {
                label: "Text Input",
                content: "Dune is the best movie ever.",
                type: "text",
            },
            {
                label: "Candidate Labels",
                content: "CINEMA, ART, MUSIC",
                type: "text",
            },
        ],
        outputs: [
            {
                type: "chart",
                data: [
                    {
                        label: "CINEMA",
                        score: 0.9,
                    },
                    {
                        label: "ART",
                        score: 0.1,
                    },
                    {
                        label: "MUSIC",
                        score: 0.0,
                    },
                ],
            },
        ],
    },
    metrics: [],
    models: [
        {
            description: "Powerful zero-shot text classification model.",
            id: "facebook/bart-large-mnli",
        },
        {
            description: "Cutting-edge zero-shot multilingual text classification model.",
            id: "MoritzLaurer/ModernBERT-large-zeroshot-v2.0",
        },
        {
            description: "Zero-shot text classification model that can be used for topic and sentiment classification.",
            id: "knowledgator/gliclass-modern-base-v2.0-init",
        },
    ],
    spaces: [],
    summary: "Zero-shot text classification is a task in natural language processing where a model is trained on a set of labeled examples but is then able to classify new examples from previously unseen classes.",
    widgetModels: ["facebook/bart-large-mnli"],
};
export default taskData;
