SceneBench / distribution_audit.json
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SceneBench v1: frozen source-derived test benchmark and verified artifacts
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{
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{
"task": "D01",
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{
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{
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{
"task": "D02",
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"n": 16,
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{
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{
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{
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},
{
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{
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{
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{
"task": "D02",
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"value": "omentum",
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{
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{
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"Cystic duct → Cystic artery": 2,
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"value": "grasper",
"n": 28,
"answer_distribution": {
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{
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"n": 36,
"answer_distribution": {
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{
"task": "R03",
"condition": "instrument",
"value": "irrigator",
"n": 8,
"answer_distribution": {
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"abdominal_wall_cavity": 1
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"largest_class_fraction": 0.875
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{
"task": "R03",
"condition": "verb",
"value": "dissect",
"n": 35,
"answer_distribution": {
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},
"largest_class_fraction": 0.2
},
{
"task": "R03",
"condition": "verb",
"value": "grasp",
"n": 10,
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"gut": 1
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"largest_class_fraction": 0.8
},
{
"task": "R03",
"condition": "verb",
"value": "retract",
"n": 18,
"answer_distribution": {
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}
],
"interpretation": "Label support constrains balance. Conditional concentration is a shortcut diagnostic, not evidence of model cheating. No samples were edited in response to baseline outcomes. Episode IDs for ordinary tasks may be time buckets and must not be counted as expert clinical events."
}