coyotte508's picture
coyotte508 HF staff
🍱 Copy folders from huggingface.js
b2ecf7d
raw
history blame
2.62 kB
import type { TaskDataCustom } from "../Types";
const taskData: TaskDataCustom = {
datasets: [
{
description:
"News articles in five different languages along with their summaries. Widely used for benchmarking multilingual summarization models.",
id: "mlsum",
},
{
description: "English conversations and their summaries. Useful for benchmarking conversational agents.",
id: "samsum",
},
],
demo: {
inputs: [
{
label: "Input",
content:
"The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. It was the first structure to reach a height of 300 metres. Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.",
type: "text",
},
],
outputs: [
{
label: "Output",
content:
"The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building. It was the first structure to reach a height of 300 metres.",
type: "text",
},
],
},
metrics: [
{
description:
"The generated sequence is compared against its summary, and the overlap of tokens are counted. ROUGE-N refers to overlap of N subsequent tokens, ROUGE-1 refers to overlap of single tokens and ROUGE-2 is the overlap of two subsequent tokens.",
id: "rouge",
},
],
models: [
{
description:
"A strong summarization model trained on English news articles. Excels at generating factual summaries.",
id: "facebook/bart-large-cnn",
},
{
description: "A summarization model trained on medical articles.",
id: "google/bigbird-pegasus-large-pubmed",
},
],
spaces: [
{
description: "An application that can summarize long paragraphs.",
id: "pszemraj/summarize-long-text",
},
{
description: "A much needed summarization application for terms and conditions.",
id: "ml6team/distilbart-tos-summarizer-tosdr",
},
{
description: "An application that summarizes long documents.",
id: "pszemraj/document-summarization",
},
{
description: "An application that can detect errors in abstractive summarization.",
id: "ml6team/post-processing-summarization",
},
],
summary:
"Summarization is the task of producing a shorter version of a document while preserving its important information. Some models can extract text from the original input, while other models can generate entirely new text.",
widgetModels: ["sshleifer/distilbart-cnn-12-6"],
youtubeId: "yHnr5Dk2zCI",
};
export default taskData;