Describe held-out shapes, message content, and background images
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README.md
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@@ -76,6 +76,13 @@ field identifies the 75 IID and 75 OOD episodes in each Drag environment.
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Rotation and Ten-Choice each use fixed test sets without an IID/OOD subdivision,
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so their `distribution` values are `null`.
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## Load episode records
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```python
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Rotation and Ten-Choice each use fixed test sets without an IID/OOD subdivision,
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so their `distribution` values are `null`.
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The held-out factors follow the paper's test-set construction. Drag's IID
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episodes use training shape categories, while its OOD episodes use held-out
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shape categories. All Ten-Choice test scenes draw from 240 messages disjoint
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from the 80 training messages. Rotation uses 150 test background images
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disjoint from the 1,000 training backgrounds. Ten-Choice and Rotation therefore
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evaluate held-out content across their full test sets.
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## Load episode records
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```python
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