| {
|
| "builder_name": "ITT-Purpose",
|
| "citation": "",
|
| "config_name": "default",
|
| "dataset_name": "ITT-Purpose",
|
| "dataset_size": 100,
|
| "description": "ITT-Purpose is a premium, high-quality, hard image-to-text-to-text benchmark dataset designed to evaluate Vision-Language Models (VLM) on document parsing, data extraction, and complex visual reasoning tasks across three styles: Meaning, Text Formatting, and Table.",
|
| "features": {
|
| "id": {
|
| "dtype": "string",
|
| "_type": "Value"
|
| },
|
| "image": {
|
| "_type": "Image"
|
| },
|
| "prompt": {
|
| "dtype": "string",
|
| "_type": "Value"
|
| },
|
| "response": {
|
| "dtype": "string",
|
| "_type": "Value"
|
| },
|
| "style": {
|
| "dtype": "string",
|
| "_type": "Value"
|
| }
|
| },
|
| "homepage": "",
|
| "license": "apache-2.0",
|
| "splits": {
|
| "train": {
|
| "name": "train",
|
| "num_examples": 100,
|
| "dataset_name": "ITT-Purpose"
|
| }
|
| },
|
| "version": {
|
| "version_str": "0.1.0",
|
| "major": 0,
|
| "minor": 1,
|
| "patch": 0
|
| },
|
| "task_categories": [
|
| "image-text-to-text",
|
| "visual-question-answering"
|
| ],
|
| "language": [
|
| "en"
|
| ],
|
| "pretty_name": "ITT-Purpose",
|
| "size_categories": [
|
| "100K<n<1M"
|
| ],
|
| "tags": [
|
| "multimodal",
|
| "image-text-to-text",
|
| "ocr",
|
| "table-qa",
|
| "latex",
|
| "vlm",
|
| "benchmark"
|
| ],
|
| "author": "convence"
|
| } |
