Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
text-to-image
multimodal
indoor-scenes
prompt-engineering
stable-diffusion
scene-understanding
DOI:
License:
update readme
Browse files
README.md
CHANGED
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@@ -78,15 +78,15 @@ Prompt2SceneBench can be directly used for:
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Each row in the CSV corresponds to a single prompt instance and includes the following fields:
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- `type`: Prompt category — one of `A`, `B`, `C`, or `D`, based on number of objects and complexity.
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- `object1`, `object2`, `object3`, `object4`: Objects involved in the scene (some may be `
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- `surface`: The surface where the objects are placed (e.g., `desk surface`, `bench`).
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- `scene`: The indoor environment (e.g., `living room`, `study room`).
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- `prompt`: The final structured natural language prompt.
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Note:
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- Type A prompt has only 1 object (object2, object3, object4 fields will be None)
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- Type B prompt has only 2 objects (object3, object4 fields will be None)
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- Type C prompt has only 3 objects (object4 field will be None)
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- Type D prompt has only 4 objects (all the object fields will have values)
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Sample Examples:
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Each row in the CSV corresponds to a single prompt instance and includes the following fields:
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| 79 |
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| 80 |
- `type`: Prompt category — one of `A`, `B`, `C`, or `D`, based on number of objects and complexity.
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| 81 |
+
- `object1`, `object2`, `object3`, `object4`: Objects involved in the scene (some may be `None/NaN/Null` depending on type).
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- `surface`: The surface where the objects are placed (e.g., `desk surface`, `bench`).
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- `scene`: The indoor environment (e.g., `living room`, `study room`).
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- `prompt`: The final structured natural language prompt.
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Note:
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| 87 |
+
- Type A prompt has only 1 object (object2, object3, object4 fields will be None/NaN/Null)
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| 88 |
+
- Type B prompt has only 2 objects (object3, object4 fields will be None/NaN/Null)
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+
- Type C prompt has only 3 objects (object4 field will be None/NaN/Null)
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- Type D prompt has only 4 objects (all the object fields will have values)
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Sample Examples:
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