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import type { TaskDataCustom } from "../Types";
const taskData: TaskDataCustom = {
datasets: [
{
description: "A widely used dataset used to benchmark multiple variants of text classification.",
id: "glue",
},
{
description: "A text classification dataset used to benchmark natural language inference models",
id: "snli",
},
],
demo: {
inputs: [
{
label: "Input",
content: "I love Hugging Face!",
type: "text",
},
],
outputs: [
{
type: "chart",
data: [
{
label: "POSITIVE",
score: 0.9,
},
{
label: "NEUTRAL",
score: 0.1,
},
{
label: "NEGATIVE",
score: 0.0,
},
],
},
],
},
metrics: [
{
description: "",
id: "accuracy",
},
{
description: "",
id: "recall",
},
{
description: "",
id: "precision",
},
{
description:
"The F1 metric is the harmonic mean of the precision and recall. It can be calculated as: F1 = 2 * (precision * recall) / (precision + recall)",
id: "f1",
},
],
models: [
{
description: "A robust model trained for sentiment analysis.",
id: "distilbert-base-uncased-finetuned-sst-2-english",
},
{
description: "Multi-genre natural language inference model.",
id: "roberta-large-mnli",
},
],
spaces: [
{
description: "An application that can classify financial sentiment.",
id: "IoannisTr/Tech_Stocks_Trading_Assistant",
},
{
description: "A dashboard that contains various text classification tasks.",
id: "miesnerjacob/Multi-task-NLP",
},
{
description: "An application that analyzes user reviews in healthcare.",
id: "spacy/healthsea-demo",
},
],
summary:
"Text Classification is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, and assessing grammatical correctness.",
widgetModels: ["distilbert-base-uncased-finetuned-sst-2-english"],
youtubeId: "leNG9fN9FQU",
};
export default taskData;