Create dataset_infos.json
Browse files- dataset_infos.json +38 -0
dataset_infos.json
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{
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"IDEA-Bench": {
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"description": "A benchmark dataset for professional-grade image generation evaluations.",
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"citation": "@article{idea_bench2024, title={IDEA-Bench: How Far are Generative Models from Professional Designing?}, author={Chen Liang et al.}, journal={arXiv preprint}, year={2024}}",
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"homepage": "https://github.com/ali-vilab/IDEA-Bench",
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"license": "cc-by-nc 4.0",
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"features": {
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"uid": {"dtype": "string", "description": "Unique identifier for the task."},
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"instruction": {"dtype": "string", "description": "Instruction prompt for the task."},
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"meta": {
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"task_name": {"dtype": "string", "description": "The name of the task."},
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"num_of_cases": {"dtype": "int32", "description": "Number of cases in the task."},
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"image_reference": {"dtype": "bool", "description": "Whether the task uses image references."},
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"multi_image_reference": {"dtype": "bool", "description": "Whether the task uses multiple image references."},
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"multi_image_output": {"dtype": "bool", "description": "Whether the task generates multiple images."},
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"output_image_count": {"dtype": "int32", "description": "Number of expected output images."}
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},
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"eval": {
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"questions": {
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"dtype": "list",
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"description": "List of evaluation questions with scoring standards."
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}
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},
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"images": {"dtype": "list", "description": "List of associated images."},
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"auto_eval": {
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"dtype": "list",
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"description": "Detailed prompt for MLLM evaluation, if available."
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}
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},
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"splits": {
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"text-to-image": {"description": "Text-to-Image tasks."},
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"image-to-image": {"description": "Image-to-Image"},
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"images-to-image": {"description": "Images-to-Image tasks."},
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"text-to-images": {"description": "Text-to-Images tasks."},
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"images-to-images": {"description": "Image(s)-to-Images tasks."}
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}
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}
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}
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