PathGrounding / package /sampling_config.json
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Publish quality-filtered auxiliary training release (#1)
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{
"unit": "dataset, then parent/query, then an eligible target",
"dataset_probabilities": {
"refpath_train": 0.25,
"pannuke": 0.2,
"nucls": 0.15,
"nuinsseg": 0.15,
"bcss": 0.1,
"midogpp": 0.1,
"lizard": 0.05
},
"applied_to_export": false
}