jiosephlee/collapsed-bucket-transfer-v1-skin-reaction-numeric-intern
Skin_Reaction collapsed-bucket transfer v1 This dataset combines V9 direct-context rows with every eligible numeric Stage-06 indirect pair bucket retaining at least 20 proper-train parents. Direct validation and test rankings reuse V9 exactly. Indirect validation is held out from source train, while indirect test uses the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest proper-train parents. Ranking compatibility fields expose the canonical… See the full description on the dataset page: https://huggingface.co/datasets/jiosephlee/collapsed-bucket-transfer-v1-skin-reaction-numeric-intern.
Skin_Reaction collapsed-bucket transfer v1
This dataset combines V9 direct-context rows with every eligible numeric Stage-06 indirect pair bucket retaining at least 20 proper-train parents. Direct validation and test rankings reuse V9 exactly. Indirect validation is held out from source train, while indirect test uses the frozen Starling validation scaffold universe; each indirect panel has 20 Morgan-nearest proper-train parents.
Ranking compatibility fields expose the canonical endpoint as assay_concept and the exact pair-bucket identity as canonical_endpoint_key.
- train rows: 1,409,636
- validation_ranking rows: 13,033
- test_ranking rows: 33,557
- target: train-SD sigmoid, center 0.4 SD, temperature 0.10