Datasets:

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/

PathGrounding

The processing inputs are the previously acquired official eight-marker source release at /home/jiahao/jiahao/ZoomPath/auxiliary_training_v2/sources/segpath. That input path resolves to /storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2/sources/segpath. Inputs are read in place; large new outputs are written to NAS, not SSD. The original compressed source archives are separately copied to NAS. Do not remove SSD originals until that copy has finished and been verified.

Construction

Use official CSV train patches only; exclude val and test.
Derive bounding boxes from original binary-mask 8-connected components.
Store semantic regions, not cell-instance or WSI-navigation ground truth.
Keep same-label eligible targets as alternative answers in shared annotations.
Mark quality-rejected supported targets as ignored, never negatives.
Use full-label questions: Find a region that shows {label}.
Preserve original parent pixels and exact child crops without resizing.
Record 40x, nominal approximate MPP 0.25 and training level high.
Map organ conservatively from the paper's Table S2; uncertain sites are null.
Store parent/child PNGs and JSON annotations in eight uncompressed TAR shards.
Keep a plain JSONL manifest with package-relative TAR member byte ranges.

Detailed thresholds and limitations live in scripts/segpath_quality_policy_v1.json and scripts/segpath_training_METHODS.md; both are copied into the training package. The package reader requires no extraction and works after relocating the whole package. Its documentation includes loading and sampling examples.

Checks and Release

Construction pixel-compares every emitted child. Then run the portable export validator over all rows and a deterministic pixel sample. Independently rebuild every retained parent's semantic components from its original mask and compare the official split, target identities, decisions and counts.

The definitive counts and state are the generated index.json, quality_filter_report.json, validation.json and quality_validation.json. Only a package passing both validators is ready for training. No new physician review is claimed, and no v4 benchmark files or Hugging Face release are changed by this processing step.

SegPath is optional and disabled by default, with mixture probability 0.0. Do not merge its manifest or sampling with the seven-source main package. If a later experiment explicitly enables it, cap its contribution and sample marker, then parent/query, then retained target. Raw row-uniform sampling would overrepresent dense parents. The upstream CC-BY-NC-SA 4.0 restrictions still apply.

Final Audit on 2026-10-10

Official source patches: 158,687 across eight markers.
Official training parents checked: 133,358; heldout patches excluded: 25,329.
Candidate source components >=128 mask pixels: 2,819,546.
Retained training pairs: 2,193,058 across 105,864 unique parents.
Quality-rejected components: 626,488; 619,421 remain ignored in retained views.
Every emitted child passed exact parent-crop pixel comparison during build.
Portable validator: all 2,193,058 rows, 105,864 annotations, global ID/count checks and 1,000 deterministic crop rechecks; pass with zero errors.
Source validator: all 105,864 retained parents reconstructed from original masks and checked against official CSVs; pass with zero errors.
Training image/annotation TAR payload storage: 215,130,941,440 bytes (approximately 200.36 GiB), plus JSONL manifests, checkpoints and audit data.
Eight raw compressed archives were copied to NAS and all SHA-256 hashes match the downloaded release, total 305,525,589,629 bytes (approximately 284.54 GiB).
SSD source originals were not deleted. Frozen benchmark and Hugging Face repositories were not changed.

The canonical reports are inside the NAS package. Source-copy verification is /jhcnas3/jiahao/ZoomPath/auxiliary_training_v2/sources/segpath/nas_archive_verification.json.