@huggingface/tasks
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List of ML tasks for huggingface.co/tasks
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text/typescript
import type { TaskDataCustom } from "../index.js";
const taskData: TaskDataCustom = {
datasets: [
{
description: "A large dataset used to train visual document retrieval models.",
id: "vidore/colpali_train_set",
},
],
demo: {
inputs: [
{
filename: "input.png",
type: "img",
},
{
label: "Question",
content: "Is the model in this paper the fastest for inference?",
type: "text",
},
],
outputs: [
{
type: "chart",
data: [
{
label: "Page 10",
score: 0.7,
},
{
label: "Page 11",
score: 0.06,
},
{
label: "Page 9",
score: 0.003,
},
],
},
],
},
isPlaceholder: false,
metrics: [
{
description: "NDCG@k scores ranked recommendation lists for top-k results. 0 is the worst, 1 is the best.",
id: "Normalized Discounted Cumulative Gain at K",
},
],
models: [
{
description: "Very accurate visual document retrieval model for multilingual queries and documents.",
id: "vidore/colqwen2-v1.0",
},
{
description: "Very fast and efficient visual document retrieval model that works on five languages.",
id: "marco/mcdse-2b-v1",
},
],
spaces: [
{
description: "A leaderboard of visual document retrieval models.",
id: "vidore/vidore-leaderboard",
},
],
summary:
"Visual document retrieval is the task of searching for relevant image-based documents, such as PDFs. These models take a text query and multiple documents as input and return the top-most relevant documents and relevancy scores as output.",
widgetModels: [""],
youtubeId: "",
};
export default taskData;