Publish quality-filtered auxiliary training release
#1
by xuxuxuxuxu - opened
- .gitattributes +1 -0
- README.md +120 -68
- archives/annotations-00000.tar +2 -2
- archives/images-child-00000.tar +2 -2
- archives/images-child-00001.tar +2 -2
- archives/images-child-00002.tar +2 -2
- archives/images-parent-00000.tar +2 -2
- archives/images-parent-00001.tar +2 -2
- archives/images-parent-00002.tar +2 -2
- archives/images-parent-00003.tar +2 -2
- archives/images-parent-00004.tar +2 -2
- archives/images-parent-00005.tar +2 -2
- archives/images-parent-00006.tar +2 -2
- archives/images-parent-00007.tar +2 -2
- archives/images-parent-00008.tar +2 -2
- archives/images-parent-00009.tar +2 -2
- archives/images-parent-00010.tar +2 -2
- package/FILTER_RESULTS.md +19 -0
- package/METHODS.md +216 -0
- package/README.md +72 -196
- package/audit/row_decisions.jsonl +3 -0
- package/index.json +69 -64
- package/manifest.jsonl +2 -2
- package/metadata/unfiltered_export_index.json +148 -0
- package/metadata/unfiltered_export_validation.json +87 -0
- package/quality_filter_policy.json +75 -0
- package/quality_filter_report.json +422 -0
- package/quality_validation.json +29 -0
- package/review/bcss_excluded.jpg +3 -0
- package/review/bcss_kept.jpg +3 -0
- package/review/lizard_excluded.jpg +3 -0
- package/review/lizard_kept.jpg +3 -0
- package/review/low_focus_candidates.json +0 -0
- package/review/midogpp_kept.jpg +3 -0
- package/review/nucls_excluded.jpg +3 -0
- package/review/nucls_kept.jpg +3 -0
- package/review/nuinsseg_excluded.jpg +3 -0
- package/review/nuinsseg_kept.jpg +3 -0
- package/review/pannuke_excluded.jpg +3 -0
- package/review/pannuke_kept.jpg +3 -0
- package/review/refpath_train_excluded.jpg +3 -0
- package/review/refpath_train_kept.jpg +3 -0
- package/review/samples.json +1222 -0
- package/sampling_config.json +13 -0
- package/storage_compaction.json +398 -0
- package/training_data.py +12 -1
- package/validation.json +61 -61
- release_manifest.json +259 -195
.gitattributes
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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package/manifest.jsonl filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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package/manifest.jsonl filter=lfs diff=lfs merge=lfs -text
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package/audit/row_decisions.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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- visual-grounding
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- auxiliary-training
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- parent-child
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pretty_name: PathGrounding -
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---
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# PathGrounding
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**34,193 distinct parent images**.
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| --- | ---: |
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| NuInsSeg | 25,718 |
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| NuCLS | 35,848 |
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| BCSS | 6,153 |
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| Lizard | 325,966 |
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| MIDOGpp | 8,008 |
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as approximate, especially the heuristic 20x/40x assignment for RefPath.
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Python 3.10+ is required. Authenticate with an account that has repository access
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```bash
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pip install -U huggingface_hub pillow
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hf auth login
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hf download xuxuxuxuxu/PathGrounding \
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--repo-type dataset --local-dir /data/pathgrounding-download
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python /data/pathgrounding-download/tools/restore_package.py \
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/data/pathgrounding-download /data/zoompath_training_v4
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```
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The data package is approximately 54 GB. Allow roughly 115 GB of free space to
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retain both downloaded archives and the restored package.
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## Training Reader
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```bash
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export PYTHONPATH=/data/zoompath_training_v4:$PYTHONPATH
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```
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reader = AuxiliaryTrainingReader("/data/zoompath_training_v4")
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row = next(reader.iter_records(dataset="refpath_train"))
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sample = reader.load_pair(row)
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parent = sample["parent_image"]
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child = sample["child_image"]
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question = sample["question"]
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selected_box = sample["child_bbox_xyxy_in_parent"]
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organ, mpp, level = sample["organ"], sample["mpp"], sample["level"]
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```
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sampling is not parent/query-uniform sampling.
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## Layout And Validation
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| Repository path | Contents |
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| --- | --- |
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| `package/` |
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| `archives/` |
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The
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- visual-grounding
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- auxiliary-training
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- parent-child
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pretty_name: PathGrounding - Quality-Filtered Auxiliary Training
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---
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# PathGrounding
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Public, portable auxiliary training data for single-step pathology grounding.
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The main package contains **235,346 quality-filtered parent-child pairs from
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seven sources**, with **38,836 distinct parent images**. It replaces the earlier
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unfiltered 618,432-pair main release.
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**SegPath is a separate, optional package under `segpath/`: 2,193,058 pairs and
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105,864 parents.** It is not merged into the main manifest, counts, reader or
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sampling configuration. It is disabled by default. Download it explicitly only
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when needed; its mostly small semantic-region boxes differ from the larger
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region-of-interest navigation targets in ZoomPath v4.
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These are auxiliary training data, not the ZoomPath v4 benchmark. They contain no
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raw WSIs and have not inherited the benchmark's doctor/pathologist review.
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Upstream licenses and restrictions apply; RefPath is gated and redistribution
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permission is not assumed; users must follow all relevant upstream terms.
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SegPath is CC-BY-NC-SA 4.0.
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## Main Package
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| Source | Retained pairs |
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| --- | ---: |
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| BCSS | 2,836 |
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| Lizard | 31,446 |
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| MIDOGpp | 8,008 |
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| NuCLS | 32,538 |
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| NuInsSeg | 20,521 |
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| PanNuke | 111,605 |
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| RefPath train | 28,392 |
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| **Main total, excluding SegPath** | **235,346** |
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Each record includes parent/child images, an exact parent-relative child box,
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text question, organ and available scale metadata. `partition` is `training`;
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original source split/fold information is retained, with no new train/val/test
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split. Keep all related targets/parents, and source slides when identifiable,
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together when defining later splits.
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Python 3.10+ is required. Authenticate with an account that has repository access.
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The explicit allow-list below does **not** download SegPath:
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```bash
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pip install -U huggingface_hub pillow
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hf auth login
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```
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="xuxuxuxuxu/PathGrounding",
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repo_type="dataset",
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local_dir="/data/pathgrounding-download",
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allow_patterns=["README.md", "release_manifest.json", "package/**",
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"archives/**", "tools/restore_package.py"],
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)
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```
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```bash
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python /data/pathgrounding-download/tools/restore_package.py \
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/data/pathgrounding-download /data/zoompath_training_v4
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export PYTHONPATH=/data/zoompath_training_v4:$PYTHONPATH
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```
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reader = AuxiliaryTrainingReader("/data/zoompath_training_v4")
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row = next(reader.iter_records(dataset="refpath_train"))
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sample = reader.load_pair(row)
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parent, child = sample["parent_image"], sample["child_image"]
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question = sample["question"]
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selected_box = sample["child_bbox_xyxy_in_parent"]
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valid_boxes = sample["valid_target_bboxes_xyxy_in_parent"]
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ignored_boxes = sample["ignored_target_bboxes_xyxy_in_parent"]
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organ, mpp, level = sample["organ"], sample["mpp"], sample["level"]
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```
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The main images and annotations are uncompressed TAR shards, approximately
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2 GiB each. Restoration verifies SHA-256 and recreates relative paths without
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resizing or changing questions. It is resumable by rerunning the command.
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Use a dedicated output directory and allow space for both the downloaded shards
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and the restored package. Exact byte totals are in `release_manifest.json`.
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Coordinates are integer pixel XYXY, top-left origin, half-open edges. Children
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are exact crops. For multi-target supervision, use all eligible `valid_boxes`,
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not every annotated box or only the selected one. Source-supported answers
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rejected by quality filtering remain `ignored_boxes`, never negatives.
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The reader checks the exact label/expression and target count. Stream JSONL;
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uniform row sampling is not uniform parent/query sampling.
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`level` means the training category `high`/`mid`/`low`, not a WSI pyramid index.
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MPP is microns per pixel; nominal RefPath magnification/MPP are approximate and
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explicitly flagged. Unsupported metadata remains null.
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## Optional SegPath
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Download only the independent SegPath package:
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="xuxuxuxuxu/PathGrounding",
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repo_type="dataset",
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local_dir="/data/pathgrounding-download",
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allow_patterns=["segpath/**", "tools/verify_segpath_package.py"],
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)
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```
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```bash
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python /data/pathgrounding-download/tools/verify_segpath_package.py \
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/data/pathgrounding-download/segpath
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export PYTHONPATH=/data/pathgrounding-download/segpath:$PYTHONPATH
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```
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Use `AuxiliaryTrainingReader("/data/pathgrounding-download/segpath")` in a
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separate reader/import context from the main package. The SegPath reader loads
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images and annotations directly from eight native, uncompressed marker TARs;
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no extraction is required. Reserve approximately 210 GiB plus download-cache
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headroom. `segpath/release_manifest.json` gives the exact total and checksums.
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Only official training patches are included. Targets are 8-connected semantic
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mask regions, **not cell instances or WSI navigation paths**. Questions use full
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labels. Known organs are retained; unknown organs are null. All rows record 40x,
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approximate MPP `[0.25, 0.25]`, and training level `high`.
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SegPath's `sampling_config.json` sets `enabled_by_default: false` and
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`default_mix_probability: 0.0`. No combined manifest is provided. An explicitly
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chosen future experiment should cap its contribution and sample marker, then
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parent/query, then target, rather than concatenate rows and sample uniformly.
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## Layout And Validation
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| Repository path | Contents |
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| --- | --- |
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| `package/` | Main manifest, index, reader, quality policy, decisions, reports and provenance |
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| `archives/` | Main parent/child images and per-parent annotations |
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| `release_manifest.json` | Main-only inventory, counts, sizes and SHA-256 checksums |
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| `tools/restore_package.py` | Main package checksum verification and restoration |
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| `segpath/` | Independent optional SegPath manifest, index, TARs, reader and provenance |
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| `segpath/release_manifest.json` | SegPath-only inventory, counts, sizes and checksums |
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| `tools/verify_segpath_package.py` | SegPath checksums and sample loading check |
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Both packages report `pass` with zero errors in their own `validation.json` and
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`quality_validation.json`. The main export checks all 235,346 rows and 38,836
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annotation views, with 700 deterministic crop-pixel samples. SegPath checks all
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2,193,058 rows and 105,864 annotation views, with 1,000 deterministic crop-pixel
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rechecks; its source audit reconstructs every retained parent's original mask.
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These automated audits are not a claim of a new manual or physician review.
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The main package preserves historical source metadata showing SegPath excluded
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from that build; this is intentional and does not invalidate the independent
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validated `segpath/` release. Read each package's methods, quality policy,
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filter results and provenance before training. Pin a Hub commit revision for
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reproducible downloads.
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archives/annotations-00000.tar
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version https://git-lfs.github.com/spec/v1
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size 2143447040
|
archives/images-parent-00002.tar
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| 1 |
version https://git-lfs.github.com/spec/v1
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archives/images-parent-00003.tar
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| 1 |
version https://git-lfs.github.com/spec/v1
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archives/images-parent-00004.tar
CHANGED
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| 1 |
version https://git-lfs.github.com/spec/v1
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archives/images-parent-00005.tar
CHANGED
|
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| 1 |
version https://git-lfs.github.com/spec/v1
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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archives/images-parent-00006.tar
CHANGED
|
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version https://git-lfs.github.com/spec/v1
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
archives/images-parent-00007.tar
CHANGED
|
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version https://git-lfs.github.com/spec/v1
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
archives/images-parent-00008.tar
CHANGED
|
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:
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| 3 |
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
archives/images-parent-00009.tar
CHANGED
|
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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|
archives/images-parent-00010.tar
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
+
size 1374894080
|
package/FILTER_RESULTS.md
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Quality Filter v1 Results
|
| 2 |
+
|
| 3 |
+
Status: automatically filtered; no manual/doctor review claimed.
|
| 4 |
+
|
| 5 |
+
| Dataset | Before | Retained | Excluded | Retained % |
|
| 6 |
+
| --- | ---: | ---: | ---: | ---: |
|
| 7 |
+
| bcss | 6,153 | 2,836 | 3,317 | 46.09 |
|
| 8 |
+
| lizard | 325,966 | 31,446 | 294,520 | 9.65 |
|
| 9 |
+
| midogpp | 8,008 | 8,008 | 0 | 100.00 |
|
| 10 |
+
| nucls | 35,848 | 32,538 | 3,310 | 90.77 |
|
| 11 |
+
| nuinsseg | 25,718 | 20,521 | 5,197 | 79.79 |
|
| 12 |
+
| pannuke | 187,831 | 111,605 | 76,226 | 59.42 |
|
| 13 |
+
| refpath_train | 28,908 | 28,392 | 516 | 98.22 |
|
| 14 |
+
|
| 15 |
+
Total: 235,346 / 618,432 retained pairs.
|
| 16 |
+
Parents: 38,836; annotation files: 38,836.
|
| 17 |
+
|
| 18 |
+
Overlapping reason counts and per-class counts are in quality_filter_report.json.
|
| 19 |
+
Every source row decision is in audit/row_decisions.jsonl.
|
package/METHODS.md
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Auxiliary Training Quality Filter v1
|
| 2 |
+
|
| 3 |
+
This document records the deterministic quality filtering used to make a
|
| 4 |
+
training-oriented derivative of `zoompath_training_v4`. It is a methods record,
|
| 5 |
+
not a clinical validation claim. Generation does not overwrite its unfiltered
|
| 6 |
+
input. Optional post-validation storage compaction promotes the filtered package
|
| 7 |
+
to the canonical local name and retains the complete original in a separate
|
| 8 |
+
verified backup, with unfiltered export metadata preserved for lineage audits.
|
| 9 |
+
|
| 10 |
+
## Scope
|
| 11 |
+
|
| 12 |
+
The input is the validated portable export with 618,432 parent-child pairs from
|
| 13 |
+
RefPath train, PanNuke, NuInsSeg, NuCLS, BCSS, Lizard and MIDOG++. The filter
|
| 14 |
+
operates on source pixel dimensions and source annotations. It does not change
|
| 15 |
+
the original questions, organs, MPP estimates, levels, source labels or source
|
| 16 |
+
licenses. It does not use the benchmark test set as training data.
|
| 17 |
+
|
| 18 |
+
## Parent image checks
|
| 19 |
+
|
| 20 |
+
For every source parent image:
|
| 21 |
+
|
| 22 |
+
- minimum parent short side: 256 pixels;
|
| 23 |
+
- maximum parent aspect ratio: 4:1;
|
| 24 |
+
- reject a blank or nearly uniform parent using a 128-pixel thumbnail;
|
| 25 |
+
- verify the decoded parent pixels against the source manifest SHA-256.
|
| 26 |
+
|
| 27 |
+
An extreme-white pixel has all RGB channels >=245; an extreme-black pixel has
|
| 28 |
+
all channels <=10. The blank-image screen rejects a thumbnail if their union
|
| 29 |
+
covers at least 99.5% of pixels and its grayscale standard deviation is <=5,
|
| 30 |
+
or if grayscale standard deviation is <=1 and the 90th percentile of
|
| 31 |
+
`max(R,G,B)-min(R,G,B)` is <=5. This is an
|
| 32 |
+
automated corruption/empty-image screen, not a tissue adequacy or stain-quality
|
| 33 |
+
assessment. Blur and stain variation are measured for review candidates only;
|
| 34 |
+
they are not automatic exclusion criteria in v1.
|
| 35 |
+
|
| 36 |
+
## Target checks
|
| 37 |
+
|
| 38 |
+
Cell/nucleus targets in PanNuke, NuInsSeg, NuCLS and Lizard require:
|
| 39 |
+
|
| 40 |
+
- short side at least 12 pixels;
|
| 41 |
+
- bbox area at least 256 pixels squared;
|
| 42 |
+
- bbox aspect ratio at most 4:1;
|
| 43 |
+
- target short side at least 8 pixels after a reference resize with long side
|
| 44 |
+
1024 pixels;
|
| 45 |
+
- target bbox not touching a source parent boundary;
|
| 46 |
+
- when a source instance mask area exists, mask fill
|
| 47 |
+
`mask_area / bbox_area >= 0.30`.
|
| 48 |
+
|
| 49 |
+
For Lizard, the instance mask must also have at least 90% of its pixels in its
|
| 50 |
+
largest 8-connected component. This removes source instance IDs that span
|
| 51 |
+
separated regions and otherwise create huge background-filled boxes. The source
|
| 52 |
+
mask area is checked before this decision. NuCLS source rectangles/polygons do
|
| 53 |
+
not contain a mask area; no artificial mask-fill value is inferred for them.
|
| 54 |
+
|
| 55 |
+
RefPath and BCSS region targets require:
|
| 56 |
+
|
| 57 |
+
- short side at least 64 pixels;
|
| 58 |
+
- bbox area at least 4,096 pixels squared;
|
| 59 |
+
- bbox aspect ratio at most 6:1;
|
| 60 |
+
- bbox area no more than 80% of the parent area;
|
| 61 |
+
- target short side at least 8 pixels under the reference resize.
|
| 62 |
+
|
| 63 |
+
BCSS targets remain semantic connected regions, not cell instances. RefPath
|
| 64 |
+
descriptions remain unchanged.
|
| 65 |
+
|
| 66 |
+
MIDOG++ boxes are source-centered 50-pixel detection windows, not tight cell
|
| 67 |
+
contours. They are not subjected to the nucleus mask-fill test. Each retained
|
| 68 |
+
MIDOG++ record gets a deterministic local parent crop of at most 1024 x 1024
|
| 69 |
+
pixels that fully contains the source window and prefers a 64-pixel margin when
|
| 70 |
+
possible. The bbox and all coordinates are translated into that local parent;
|
| 71 |
+
the original parent path, dimensions and bbox are retained in `source`.
|
| 72 |
+
The crop grid has 512-pixel stride, includes the final image edge and does not
|
| 73 |
+
pad or resize the source pixels. A SHA-256 hash of seed, record ID and a fixed
|
| 74 |
+
operation name chooses among containing crops (preferably with the margin).
|
| 75 |
+
This is a label-aware training crop, not a claim of label-free inference.
|
| 76 |
+
Targets fully contained in the crop have translated boxes. Targets intersecting
|
| 77 |
+
but not fully contained are clipped only for the ignore region, marked
|
| 78 |
+
`partial_after_parent_crop`, and never positive targets. Completely outside
|
| 79 |
+
targets are not visible and do not appear in the local annotation.
|
| 80 |
+
|
| 81 |
+
The reference visibility check uses
|
| 82 |
+
`min(child_width, child_height) * min(1, 1024 / max(parent_width, parent_height))`.
|
| 83 |
+
It does not credit artificial enlargement with new detail. The actual training
|
| 84 |
+
processor can differ; this reference rule is a reproducible quality screen, not
|
| 85 |
+
a substitute for checking eventual model preprocessing. Lizard parents are not
|
| 86 |
+
recropped in this version. RefPath parents are never recropped because their
|
| 87 |
+
source expressions can contain original-frame spatial relations.
|
| 88 |
+
|
| 89 |
+
## Multi-target semantics
|
| 90 |
+
|
| 91 |
+
Quality filtering is applied to every source target in each parent annotation,
|
| 92 |
+
not only to the selected manifest row. A row is retained only if its selected
|
| 93 |
+
target is eligible. The output annotation preserves every source-supported
|
| 94 |
+
target with:
|
| 95 |
+
|
| 96 |
+
- `training_eligible: true` for positive training supervision;
|
| 97 |
+
- `training_eligible: false` and `quality_filter_reasons` for an excluded target.
|
| 98 |
+
|
| 99 |
+
Excluded matching targets are **not negatives**. For every retained row,
|
| 100 |
+
`target_count` counts only eligible matching targets in the current view and
|
| 101 |
+
`ignored_target_count` records matching targets excluded by this filter.
|
| 102 |
+
`source_target_count` preserves the original row's matching-answer count, which
|
| 103 |
+
can include out-of-view targets for a MIDOG++ local crop.
|
| 104 |
+
Training code should use eligible matches for the positive answer set and should
|
| 105 |
+
not convert ignored matches into background/no-target examples.
|
| 106 |
+
|
| 107 |
+
All unrecropped annotations preserve every source target, including excluded
|
| 108 |
+
ones. Local MIDOG++ annotations preserve every intersecting target as described
|
| 109 |
+
above. Filtering never merges instance IDs, classes or source expressions, and
|
| 110 |
+
never converts excluded rows into negative examples.
|
| 111 |
+
|
| 112 |
+
## Dataset-specific policy
|
| 113 |
+
|
| 114 |
+
The source order and labels are unchanged. Lizard is filtered more strictly
|
| 115 |
+
because its source instance maps contain a small number of disconnected IDs,
|
| 116 |
+
and because a large fraction of its nuclear boxes are below a useful input
|
| 117 |
+
resolution. MIDOG++ is made more usable by local-parent recropping rather than
|
| 118 |
+
by pretending that a 6,000 x 5,000 parent should be directly resized to a model
|
| 119 |
+
input. No extra positive samples are invented by recropping.
|
| 120 |
+
|
| 121 |
+
SegPath remains excluded because its existing manifest has a malformed NUL line
|
| 122 |
+
and its source summary disagrees with the materialized rows. PathBind grounding
|
| 123 |
+
remains excluded because its available examples are official testA/testB data.
|
| 124 |
+
The legacy PathGen16M caption subset remains outside this spatial grounding
|
| 125 |
+
training package.
|
| 126 |
+
|
| 127 |
+
## Reproducibility and audit files
|
| 128 |
+
|
| 129 |
+
`quality_filter_policy.json` is the machine-readable policy. The output stores:
|
| 130 |
+
|
| 131 |
+
- `quality_filter_report.json`: counts, retention, overlapping exclusion reasons,
|
| 132 |
+
per-class counts, source hashes and provenance;
|
| 133 |
+
- `audit/row_decisions.jsonl`: one decision and metrics per source row;
|
| 134 |
+
- `review/samples.json`: seeded samples for later manual review, explicitly not
|
| 135 |
+
claimed to have been reviewed;
|
| 136 |
+
- `review/low_focus_candidates.json`: deterministic blur-review candidates;
|
| 137 |
+
- `FILTER_RESULTS.md`: compact count table;
|
| 138 |
+
- `metadata/unfiltered_export_index.json` and
|
| 139 |
+
`metadata/unfiltered_export_validation.json`: input release records;
|
| 140 |
+
- `METHODS.md`: this protocol.
|
| 141 |
+
|
| 142 |
+
The implementation records its own SHA-256. The source manifest is checked both
|
| 143 |
+
before and after filtering. All source parent decoded hashes are verified, and
|
| 144 |
+
every retained source child is fully compared in RGB against its source parent
|
| 145 |
+
crop. MIDOG++ parents are exact source crops without interpolation; children
|
| 146 |
+
are unchanged. Lizard MAT-file SHA-256 values are recorded and rechecked by the
|
| 147 |
+
lineage audit. Run both validators:
|
| 148 |
+
|
| 149 |
+
```bash
|
| 150 |
+
python scripts/filter_auxiliary_training_quality.py \
|
| 151 |
+
--source /path/to/auxiliary_training_v2/zoompath_training_v4 \
|
| 152 |
+
--original-root /path/to/auxiliary_training_v2 \
|
| 153 |
+
--output /path/to/auxiliary_training_v2/zoompath_training_v4_quality_filtered
|
| 154 |
+
python scripts/validate_auxiliary_training_export.py \
|
| 155 |
+
/path/to/auxiliary_training_v2/zoompath_training_v4_quality_filtered
|
| 156 |
+
python scripts/validate_auxiliary_quality_filter.py \
|
| 157 |
+
--source /path/to/auxiliary_training_v2/zoompath_training_v4 \
|
| 158 |
+
--original-root /path/to/auxiliary_training_v2 \
|
| 159 |
+
--output /path/to/auxiliary_training_v2/zoompath_training_v4_quality_filtered
|
| 160 |
+
```
|
| 161 |
+
|
| 162 |
+
The output directory must not exist. The original source package remains
|
| 163 |
+
unchanged. Retained source images are hard-linked by default; `--copy` creates
|
| 164 |
+
independent copies instead. Do not modify any hard-linked images in place.
|
| 165 |
+
No train/val/test split is invented: original splits/folds and source groups
|
| 166 |
+
are retained, and any future split must keep a source group together, including
|
| 167 |
+
all of its MIDOG++ views.
|
| 168 |
+
|
| 169 |
+
Storage compaction is separate from the quality policy: it only removes
|
| 170 |
+
unfiltered local image names and backup-verified local caches after both
|
| 171 |
+
validators pass. Every backup path and size is checked; metadata and sampled
|
| 172 |
+
images receive SHA-256 comparison. Missing or differing backup directories
|
| 173 |
+
are preserved, not treated as safely deletable. The storage audit records the
|
| 174 |
+
canonical package, backup location, deleted/preserved directories and old export
|
| 175 |
+
metadata location. Deleting one hard link does not alter the retained image.
|
| 176 |
+
Historical input validation is archived evidence, not a claim that the archived
|
| 177 |
+
metadata-only directory still contains its original images.
|
| 178 |
+
|
| 179 |
+
For later manual inspection, six retained and six excluded rows per dataset
|
| 180 |
+
are selected by reservoir sampling with seed 20261010 (where available). The
|
| 181 |
+
contact sheets show both parent context with a target box and an enlarged
|
| 182 |
+
target preview. Enlargement is display-only. The lower 1% thumbnail focus
|
| 183 |
+
scores per dataset are exported as review candidates. Neither operation claims
|
| 184 |
+
that a person reviewed the samples. The optional `sampling_config.json`
|
| 185 |
+
recommends dataset/parent/query-aware sampling with Lizard probability 0.05;
|
| 186 |
+
these sampling weights are not applied by the export, and no training run is
|
| 187 |
+
claimed here.
|
| 188 |
+
|
| 189 |
+
## Paper Methods Template
|
| 190 |
+
|
| 191 |
+
We constructed an auxiliary single-step pathology grounding training set from
|
| 192 |
+
seven source collections. Quality screening was deterministic and used separate
|
| 193 |
+
rules for nuclear-instance and tissue-region annotations. We excluded extremely
|
| 194 |
+
small or elongated parent images and targets, boundary-truncated nuclear
|
| 195 |
+
instances, low-fill instance boxes when segmentation masks were available,
|
| 196 |
+
and Lizard instances with less than 90% of their mask pixels in the largest
|
| 197 |
+
8-connected component. We additionally required an 8-pixel target short side
|
| 198 |
+
under a reference long-edge-1024 downscale. MIDOG++ source detection windows
|
| 199 |
+
were retained in exact-pixel 1024-pixel local parent crops with translated
|
| 200 |
+
annotations; original-frame RefPath expressions were not recropped. Excluded
|
| 201 |
+
matching targets were preserved as ignored alternatives rather than negative
|
| 202 |
+
examples. Source questions, available organ/scale metadata, original split
|
| 203 |
+
identifiers and licensing provenance were retained. The initial set contained
|
| 204 |
+
618,432 pairs; report the retained count from FILTER_RESULTS.md, along with
|
| 205 |
+
per-source retention and the implemented threshold table. Screening and pixel
|
| 206 |
+
consistency checks do not imply pathologist review; any subsequent manual
|
| 207 |
+
review must be described separately.
|
| 208 |
+
|
| 209 |
+
## Limitations
|
| 210 |
+
|
| 211 |
+
The thresholds are engineering thresholds for auxiliary training, not
|
| 212 |
+
pathologist-defined inclusion criteria. They do not establish that every
|
| 213 |
+
retained crop is diagnostically useful, that every source annotation is correct,
|
| 214 |
+
or that the source collections are patient-independent. A later paper should
|
| 215 |
+
report the policy ID, source and output counts, class counts, exclusion reasons,
|
| 216 |
+
and whether the seeded review samples were manually inspected.
|
package/README.md
CHANGED
|
@@ -1,217 +1,93 @@
|
|
| 1 |
-
# ZoomPath Auxiliary Training v4
|
| 2 |
-
|
| 3 |
-
This is a portable **single-step parent-child grounding training package**.
|
| 4 |
-
It references the v4 benchmark's image/box/query conventions, but is not a
|
| 5 |
-
Z1-Z12 benchmark, a WSI trajectory dataset, or a raw WSI release.
|
| 6 |
-
The v4 benchmark's reported doctor review does not apply to this auxiliary package.
|
| 7 |
-
|
| 8 |
-
## Contents
|
| 9 |
-
|
| 10 |
-
| Path | Contents |
|
| 11 |
-
| --- | --- |
|
| 12 |
-
| `manifest.jsonl` | One JSON object per selected source target/crop |
|
| 13 |
-
| `index.json` | Dataset counts, metadata coverage, manifest checksum |
|
| 14 |
-
| `images/parent/` | Input images, stored once per decoded pixel identity |
|
| 15 |
-
| `images/child/` | Lossless target crops, without resizing |
|
| 16 |
-
| `annotations/<dataset>/` | All source targets for each input parent |
|
| 17 |
-
| `training_data.py` | Streaming reader and image/valid-target loader |
|
| 18 |
-
| `validation.json` | Export audit with explicit pixel-check scope |
|
| 19 |
-
| `metadata/` | Original source metadata, licenses, index and validation reports |
|
| 20 |
-
|
| 21 |
-
All image and annotation paths in `manifest.jsonl` are **relative to this directory**.
|
| 22 |
-
Historical absolute paths in `metadata/` and the `source_*` provenance fields of
|
| 23 |
-
`index.json` are not used to load training data. Transfer this entire directory
|
| 24 |
-
to another machine; no source image directory or original absolute path is required.
|
| 25 |
-
|
| 26 |
-
## Included Data
|
| 27 |
-
|
| 28 |
-
| Source | Parent-child pairs |
|
| 29 |
-
| --- | ---: |
|
| 30 |
-
| RefPath train | 28,908 |
|
| 31 |
-
| PanNuke | 187,831 |
|
| 32 |
-
| NuInsSeg | 25,718 |
|
| 33 |
-
| NuCLS | 35,848 |
|
| 34 |
-
| BCSS | 6,153 |
|
| 35 |
-
| Lizard | 325,966 |
|
| 36 |
-
| MIDOGpp | 8,008 |
|
| 37 |
-
| Total | 618,432 |
|
| 38 |
-
|
| 39 |
-
Only the seven sources in the existing pixel-validated `training_index.json`
|
| 40 |
-
are included. SegPath is excluded because its source manifest fails validation
|
| 41 |
-
and its current row count disagrees with its generation summary. PathBind
|
| 42 |
-
official testA/testB examples are not repurposed for training. PathGen16M is
|
| 43 |
-
outside this spatial grounding build. No original files were removed or repaired.
|
| 44 |
-
|
| 45 |
-
`partition` is `training`. `source_split` preserves the upstream split/fold.
|
| 46 |
-
No artificial train/val/test split is invented. PanNuke and Lizard
|
| 47 |
-
folds and NuInsSeg's unspecified split remain explicitly recorded. Keep all
|
| 48 |
-
targets and questions for the same parent together in any later split;
|
| 49 |
-
`source.source_group_id` and `source.source_group_field` carry the available grouping.
|
| 50 |
-
The original overlap audit is copied, not a new claim of patient-level independence.
|
| 51 |
-
|
| 52 |
-
## Fields And Coordinates
|
| 53 |
-
|
| 54 |
-
- `question`: Original training question. `query` is an alias.
|
| 55 |
-
- `expression`: Original source description or class label. Do not rewrite it
|
| 56 |
-
when applying `valid_targets_filter`.
|
| 57 |
-
- `parent_image` and `child_image`: Relative path, `[width, height]`, and optional MPP/level.
|
| 58 |
-
- `child_bbox_in_parent`: Integer `x/y/w/h` in the original input parent pixels.
|
| 59 |
-
- `child_bbox_xyxy_in_parent`: `[x1, y1, x2, y2]`, top-left origin, half-open edges.
|
| 60 |
-
The child equals `parent.crop((x1, y1, x2, y2))` in decoded RGB pixels.
|
| 61 |
-
- `organ`: Normalized source organ/anatomical tissue site, or `null` if unsupported.
|
| 62 |
-
NuInsSeg muscle/adipose/bone sites remain explicit tissue/site names.
|
| 63 |
-
A generic tumor diagnosis or melanoma label alone is not converted to an organ.
|
| 64 |
-
- `organ_source`: Provenance of organ/site metadata.
|
| 65 |
-
- `parent_image.mpp`: `[microns_per_pixel_x, microns_per_pixel_y]` or `null`.
|
| 66 |
-
BCSS uses its source filename's resampling MPP. MIDOGpp uses TIFF resolution
|
| 67 |
-
tags only when both axes and physical units are present; these values are
|
| 68 |
-
preserved. When only magnification is available, use the nominal training
|
| 69 |
-
mapping below. The unresized child has the same MPP as its parent.
|
| 70 |
-
- `parent_image.mpp_is_approximate`: `true` for nominal MPP assigned by the
|
| 71 |
-
magnification mapping, `false` for retained source MPP (or no MPP).
|
| 72 |
-
- `magnification`: Source or estimated equivalent training magnification;
|
| 73 |
-
also stored on each image with its source and approximation flag.
|
| 74 |
-
- `parent_image.level`: Training scale category `high`, `mid`, `low`, or `null`.
|
| 75 |
-
**This is not a WSI pyramid index.** `source_level` is a separate field for
|
| 76 |
-
a source pyramid index if one was explicitly available.
|
| 77 |
-
- `annotation_kind`: Source annotation semantics. BCSS boxes enclose semantic
|
| 78 |
-
connected regions, not cell instances. MIDOGpp boxes are source detection
|
| 79 |
-
windows, not tight cell contours.
|
| 80 |
-
- `license`, `license_source`, `source`, `source_extra`: Upstream provenance and restrictions.
|
| 81 |
-
|
| 82 |
-
## Nominal Training Scales
|
| 83 |
-
|
| 84 |
-
These approximate conventions are for optional auxiliary training, not scanner
|
| 85 |
-
calibration or precision benchmark measurements. Nominal MPP is `10 / magnification`.
|
| 86 |
-
|
| 87 |
-
| Magnification | Nominal MPP | Training level |
|
| 88 |
-
| --- | ---: | --- |
|
| 89 |
-
| 40x | 0.25 | high |
|
| 90 |
-
| 20x | 0.50 | high |
|
| 91 |
-
| 10x | 1.0 | mid |
|
| 92 |
-
| 5x | 2.0 | mid |
|
| 93 |
-
| 2.5x | 4.0 | low |
|
| 94 |
-
| 1x | 10.0 | low |
|
| 95 |
-
|
| 96 |
-
For RefPath train, assign a **heuristic** magnification from the original
|
| 97 |
-
parent image's longest side: 1024 pixels -> 40x, 2048 pixels -> 20x.
|
| 98 |
-
This follows the released testA/testB size pattern but is not a verified
|
| 99 |
-
per-image train magnification annotation. Both magnification and nominal MPP
|
| 100 |
-
are explicitly flagged approximate; all these records are `high`.
|
| 101 |
-
Do not infer scale from the selected child's smaller crop size.
|
| 102 |
-
|
| 103 |
-
For retained BCSS/MIDOGpp source MPP, select the nearest nominal MPP in log space
|
| 104 |
-
to obtain an equivalent magnification and training level, without rounding or
|
| 105 |
-
overwriting the physical MPP. Other records with no scale evidence remain `null`.
|
| 106 |
-
The mapping and coverage counts are recorded in `index.json`.
|
| 107 |
-
|
| 108 |
-
## Multiple Valid Answers
|
| 109 |
-
|
| 110 |
-
An `annotations_path` file contains **all targets in the parent**, not just those
|
| 111 |
-
matching this query. Apply `valid_targets_filter` (an exact `label` or `expression`
|
| 112 |
-
match) to select the valid alternatives. Their number equals `target_count`.
|
| 113 |
-
The row's selected crop/box is one valid answer, not necessarily the only one.
|
| 114 |
-
Do not treat unselected matching targets as negatives. Identical image/question
|
| 115 |
-
inputs can have different selected crops; these are legitimate alternative
|
| 116 |
-
targets. A multi-target trainer should obtain all boxes through `valid_targets()`.
|
| 117 |
-
For one-target sampling, sample from that same matching set.
|
| 118 |
-
|
| 119 |
-
The manifest has one row per selected source target. Large target sets consequently
|
| 120 |
-
produce more rows; row-uniform sampling is not parent/query-uniform sampling.
|
| 121 |
-
Multiple descriptions may refer to the same box. Preserve description semantics
|
| 122 |
-
and source labels rather than merging unrelated questions.
|
| 123 |
|
| 124 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 125 |
|
| 126 |
-
|
| 127 |
-
|
|
|
|
| 128 |
|
| 129 |
-
|
| 130 |
-
export PYTHONPATH=/data/zoompath_training_v4:$PYTHONPATH
|
| 131 |
-
```
|
| 132 |
-
|
| 133 |
-
```python
|
| 134 |
-
from training_data import AuxiliaryTrainingReader
|
| 135 |
-
|
| 136 |
-
reader = AuxiliaryTrainingReader('/data/zoompath_training_v4')
|
| 137 |
-
row = next(reader.iter_records(dataset='pannuke'))
|
| 138 |
-
sample = reader.load_pair(row)
|
| 139 |
-
parent = sample['parent_image'] # PIL RGB image
|
| 140 |
-
child = sample['child_image']
|
| 141 |
-
question = sample['question']
|
| 142 |
-
selected_box = sample['child_bbox_xyxy_in_parent']
|
| 143 |
-
all_valid_boxes = sample['valid_target_bboxes_xyxy_in_parent']
|
| 144 |
-
organ, mpp, level = sample['organ'], sample['mpp'], sample['level']
|
| 145 |
-
```
|
| 146 |
|
| 147 |
-
|
| 148 |
-
|
| 149 |
-
|
|
|
|
| 150 |
|
| 151 |
-
|
|
|
|
|
|
|
|
|
|
| 152 |
|
| 153 |
-
|
| 154 |
-
data blocks and can be transferred independently. Do not edit image files in
|
| 155 |
-
place: local hard links share their contents with the original source files.
|
| 156 |
-
Metadata/annotations are independent copies. `--copy` creates independent image
|
| 157 |
-
files when exporting to another filesystem.
|
| 158 |
-
|
| 159 |
-
This package does not grant new redistribution rights. Source restrictions are
|
| 160 |
-
retained per row and in `metadata/<dataset>/source.json`. RefPath is gated and
|
| 161 |
-
is not assumed redistributable. The Hugging Face copy is intended for the private
|
| 162 |
-
repository `xuxuxuxuxu/PathGrounding`; do not make it public or mirror it into a
|
| 163 |
-
public dataset without checking every upstream license.
|
| 164 |
-
|
| 165 |
-
## Download From Hugging Face
|
| 166 |
-
|
| 167 |
-
The repository is private, so authenticate with an account that has access:
|
| 168 |
|
| 169 |
```bash
|
| 170 |
-
|
| 171 |
-
hf auth login
|
| 172 |
-
hf download xuxuxuxuxu/PathGrounding \
|
| 173 |
-
--repo-type dataset \
|
| 174 |
-
--local-dir /data/pathgrounding-download
|
| 175 |
-
python /data/pathgrounding-download/tools/restore_package.py \
|
| 176 |
-
/data/pathgrounding-download /data/zoompath_training_v4
|
| 177 |
```
|
| 178 |
|
| 179 |
-
Or download from Python and then use the package-relative paths in the manifest:
|
| 180 |
-
|
| 181 |
```python
|
| 182 |
-
from
|
| 183 |
|
| 184 |
-
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
|
| 188 |
-
|
|
|
|
| 189 |
```
|
| 190 |
|
| 191 |
-
|
| 192 |
-
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 196 |
|
| 197 |
-
The
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
|
| 202 |
-
##
|
| 203 |
|
| 204 |
-
|
|
|
|
| 205 |
|
| 206 |
```bash
|
| 207 |
-
python scripts/
|
| 208 |
-
python scripts/
|
|
|
|
|
|
|
|
|
|
| 209 |
```
|
| 210 |
|
| 211 |
-
The
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# ZoomPath Auxiliary Training v4: Quality-Filtered Derivative
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
+
This package is a deterministic, automatically quality-filtered derivative of
|
| 4 |
+
the validated ZoomPath auxiliary parent-child grounding export. It is intended
|
| 5 |
+
for additional training, not as a clinically reviewed benchmark. A local
|
| 6 |
+
storage compaction may replace the working unfiltered export with this package;
|
| 7 |
+
the complete original collection remains in the separately verified backup.
|
| 8 |
|
| 9 |
+
Read `METHODS.md` before using the data. The exact machine-readable thresholds
|
| 10 |
+
are in `quality_filter_policy.json`; source-row decisions are in
|
| 11 |
+
`audit/row_decisions.jsonl`; aggregate counts are in `quality_filter_report.json`.
|
| 12 |
|
| 13 |
+
## Important semantics
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 14 |
|
| 15 |
+
The package keeps source-supported alternative answers in each annotation file.
|
| 16 |
+
`training_eligible: true` targets are the positive training answers. Targets
|
| 17 |
+
with `training_eligible: false` were excluded for quality reasons and are **not
|
| 18 |
+
negative examples**. Use `target_count` and the reader's valid-target helper.
|
| 19 |
|
| 20 |
+
The questions, source descriptions, organ names, MPP/level metadata and source
|
| 21 |
+
provenance are retained. MIDOG++ has deterministic local parent crops no larger
|
| 22 |
+
than 1024 x 1024; the original parent geometry is preserved in each row's
|
| 23 |
+
`source` field.
|
| 24 |
|
| 25 |
+
## Loading
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
|
| 27 |
```bash
|
| 28 |
+
export PYTHONPATH=/path/to/zoompath_training_v4:$PYTHONPATH
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
```
|
| 30 |
|
|
|
|
|
|
|
| 31 |
```python
|
| 32 |
+
from training_data import AuxiliaryTrainingReader
|
| 33 |
|
| 34 |
+
reader = AuxiliaryTrainingReader("/path/to/zoompath_training_v4")
|
| 35 |
+
row = next(reader.iter_records(dataset="pannuke"))
|
| 36 |
+
sample = reader.load_pair(row)
|
| 37 |
+
positive_boxes = sample["valid_target_bboxes_xyxy_in_parent"]
|
| 38 |
+
ignored_boxes = sample["ignored_target_bboxes_xyxy_in_parent"]
|
| 39 |
+
assert sample["ignored_targets_are_not_negatives"]
|
| 40 |
```
|
| 41 |
|
| 42 |
+
Boxes use source-native integer pixel XYXY with half-open edges. Stream the
|
| 43 |
+
manifest; do not load every row into RAM. Do not use a legacy reader that treats
|
| 44 |
+
all matching targets as eligible. Ignored boxes should not create negative
|
| 45 |
+
labels or penalties in the training loss. If the training system cannot support
|
| 46 |
+
ignore regions, use a compatible objective or exclude affected parent/query
|
| 47 |
+
inputs rather than silently relabeling their ignored targets as background.
|
| 48 |
+
|
| 49 |
+
`sampling_config.json` contains optional dataset mixture probabilities (Lizard
|
| 50 |
+
0.05) and parent/query-aware sampling guidance; no sampler is applied by the
|
| 51 |
+
export. Do not split different local crops from the same MIDOG++ source image
|
| 52 |
+
across training and validation sets. Source folds and grouping fields remain
|
| 53 |
+
available; no new train/val/test partition is created by this filter.
|
| 54 |
|
| 55 |
+
The output uses hard links for unchanged source images and new PNG files for
|
| 56 |
+
MIDOG++ local parents. This is independently transferable, but local hard links
|
| 57 |
+
share storage blocks with the original export: do not edit them in place.
|
| 58 |
+
Unlinking an old unfiltered image does not damage its retained hard link.
|
| 59 |
|
| 60 |
+
## Validation
|
| 61 |
|
| 62 |
+
The package is generated separately from the original export and should be
|
| 63 |
+
validated with the repository's export validator before training:
|
| 64 |
|
| 65 |
```bash
|
| 66 |
+
python scripts/validate_auxiliary_training_export.py /path/to/zoompath_training_v4_quality_filtered
|
| 67 |
+
python scripts/validate_auxiliary_quality_filter.py \
|
| 68 |
+
--source /path/to/auxiliary_training_v2/zoompath_training_v4 \
|
| 69 |
+
--original-root /path/to/auxiliary_training_v2 \
|
| 70 |
+
--output /path/to/zoompath_training_v4_quality_filtered
|
| 71 |
```
|
| 72 |
|
| 73 |
+
The package is automatically filtered and has not received doctor/pathologist
|
| 74 |
+
manual review. The `review/` directory contains deterministic candidates for a
|
| 75 |
+
later audit only.
|
| 76 |
+
|
| 77 |
+
## Local storage compaction
|
| 78 |
+
|
| 79 |
+
The canonical local training package is `auxiliary_training_v2/zoompath_training_v4`.
|
| 80 |
+
Root-level `training_index.json` and `training_manifest.jsonl` are convenience
|
| 81 |
+
links to this filtered package, not the old unfiltered absolute-path schema.
|
| 82 |
+
Only this package is a training entry point; any preserved source/cache
|
| 83 |
+
directories are not additional eligible training records.
|
| 84 |
+
|
| 85 |
+
`storage_compaction.json` records backup inventory checks, deleted directories
|
| 86 |
+
and directories preserved because the backup was missing or different. Backup
|
| 87 |
+
verification checks every relative path and file size plus metadata and sampled
|
| 88 |
+
image hashes; it does not claim exhaustive source-image byte comparison.
|
| 89 |
+
The old export's manifest, annotations and validation history remain in the
|
| 90 |
+
external audit directory without its image tree, for later lineage checks.
|
| 91 |
+
After compaction, pass that metadata directory as `--source` and the original
|
| 92 |
+
backup root as `--original-root` to `validate_auxiliary_quality_filter.py`.
|
| 93 |
+
The storage operation does not update the Hugging Face release.
|
package/audit/row_decisions.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fad5bf99b648d11f30feacfeeda9d3e27d5651c84eaf2fdab20327e381d0d32
|
| 3 |
+
size 374926103
|
package/index.json
CHANGED
|
@@ -2,86 +2,86 @@
|
|
| 2 |
"schema_version": "zoompath.auxiliary_training.export.v1",
|
| 3 |
"data_role": "auxiliary_training",
|
| 4 |
"benchmark_inclusion": false,
|
| 5 |
-
"source_root": "/
|
| 6 |
-
"source_manifest": "/
|
| 7 |
"source_manifest_sha256": "d3a6324a1a53a6c95432a288591830008b3dfe4eea7342bdf8d037299fc79706",
|
| 8 |
"manifest": "manifest.jsonl",
|
| 9 |
-
"manifest_sha256": "
|
| 10 |
-
"pair_count":
|
| 11 |
-
"unique_parent_count":
|
| 12 |
-
"annotation_file_count":
|
| 13 |
-
"status": "
|
| 14 |
"manual_quality_review": "not_claimed_for_auxiliary_training",
|
| 15 |
"dataset_counts": {
|
| 16 |
-
"bcss":
|
| 17 |
-
"lizard":
|
| 18 |
"midogpp": 8008,
|
| 19 |
-
"nucls":
|
| 20 |
-
"nuinsseg":
|
| 21 |
-
"pannuke":
|
| 22 |
-
"refpath_train":
|
| 23 |
},
|
| 24 |
"organ_counts": {
|
| 25 |
-
"Adipose tissue":
|
| 26 |
-
"Adrenal gland":
|
| 27 |
-
"Bile duct":
|
| 28 |
-
"Bladder":
|
| 29 |
-
"Brain":
|
| 30 |
-
"Breast":
|
| 31 |
-
"Cerebellum":
|
| 32 |
-
"Cervix":
|
| 33 |
-
"Colon":
|
| 34 |
-
"Colon and rectum":
|
| 35 |
-
"Epiglottis":
|
| 36 |
-
"Esophagus":
|
| 37 |
-
"Femur":
|
| 38 |
-
"Head and neck":
|
| 39 |
-
"Heart":
|
| 40 |
-
"Jejunum":
|
| 41 |
-
"Kidney":
|
| 42 |
-
"Liver":
|
| 43 |
-
"Lung":
|
| 44 |
-
"Muscle":
|
| 45 |
-
"Ovary":
|
| 46 |
-
"Pancreas":
|
| 47 |
-
"Peritoneum":
|
| 48 |
-
"Placenta":
|
| 49 |
-
"Prostate":
|
| 50 |
-
"Rectum":
|
| 51 |
-
"Salivary gland":
|
| 52 |
-
"Skin":
|
| 53 |
-
"Spleen":
|
| 54 |
-
"Stomach":
|
| 55 |
-
"Testis":
|
| 56 |
-
"Thymus":
|
| 57 |
-
"Thyroid":
|
| 58 |
-
"Tongue":
|
| 59 |
-
"Tonsil":
|
| 60 |
-
"Umbilical cord":
|
| 61 |
-
"Uterus":
|
| 62 |
-
"unknown":
|
| 63 |
},
|
| 64 |
"mpp_counts": {
|
| 65 |
-
"
|
| 66 |
-
"
|
| 67 |
},
|
| 68 |
"level_counts": {
|
| 69 |
-
"
|
| 70 |
-
"
|
| 71 |
},
|
| 72 |
"magnification_counts": {
|
| 73 |
-
"20.0":
|
| 74 |
-
"40.0":
|
| 75 |
-
"missing":
|
| 76 |
},
|
| 77 |
"mpp_approximation_counts": {
|
| 78 |
-
"approximate":
|
| 79 |
-
"missing":
|
| 80 |
-
"source_metadata":
|
| 81 |
},
|
| 82 |
"scale_level_counts": {
|
| 83 |
-
"high":
|
| 84 |
-
"missing":
|
| 85 |
},
|
| 86 |
"scale_convention": {
|
| 87 |
"nominal_mpp_formula": "10 / magnification; not scanner-calibrated",
|
|
@@ -144,5 +144,10 @@
|
|
| 144 |
"segpath": "not in training_index ready datasets; current source validation is not a pass",
|
| 145 |
"pathbind_grounding": "official testA/testB evaluation data",
|
| 146 |
"pathgen16m": "outside spatial auxiliary training build"
|
| 147 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 148 |
}
|
|
|
|
| 2 |
"schema_version": "zoompath.auxiliary_training.export.v1",
|
| 3 |
"data_role": "auxiliary_training",
|
| 4 |
"benchmark_inclusion": false,
|
| 5 |
+
"source_root": "/jhcnas3/jiahao/ZoomPath/auxiliary_training_v2",
|
| 6 |
+
"source_manifest": "/jhcnas3/jiahao/ZoomPath/auxiliary_training_v2/training_manifest.jsonl",
|
| 7 |
"source_manifest_sha256": "d3a6324a1a53a6c95432a288591830008b3dfe4eea7342bdf8d037299fc79706",
|
| 8 |
"manifest": "manifest.jsonl",
|
| 9 |
+
"manifest_sha256": "eeda70abfec170771f9084d2330011dcfa8443c2132ea8a2e8a576296e78fa85",
|
| 10 |
+
"pair_count": 235346,
|
| 11 |
+
"unique_parent_count": 38836,
|
| 12 |
+
"annotation_file_count": 38836,
|
| 13 |
+
"status": "filtered_not_manually_reviewed",
|
| 14 |
"manual_quality_review": "not_claimed_for_auxiliary_training",
|
| 15 |
"dataset_counts": {
|
| 16 |
+
"bcss": 2836,
|
| 17 |
+
"lizard": 31446,
|
| 18 |
"midogpp": 8008,
|
| 19 |
+
"nucls": 32538,
|
| 20 |
+
"nuinsseg": 20521,
|
| 21 |
+
"pannuke": 111605,
|
| 22 |
+
"refpath_train": 28392
|
| 23 |
},
|
| 24 |
"organ_counts": {
|
| 25 |
+
"Adipose tissue": 399,
|
| 26 |
+
"Adrenal gland": 4506,
|
| 27 |
+
"Bile duct": 5516,
|
| 28 |
+
"Bladder": 1929,
|
| 29 |
+
"Brain": 78,
|
| 30 |
+
"Breast": 68310,
|
| 31 |
+
"Cerebellum": 338,
|
| 32 |
+
"Cervix": 4643,
|
| 33 |
+
"Colon": 18689,
|
| 34 |
+
"Colon and rectum": 31446,
|
| 35 |
+
"Epiglottis": 97,
|
| 36 |
+
"Esophagus": 6817,
|
| 37 |
+
"Femur": 272,
|
| 38 |
+
"Head and neck": 4547,
|
| 39 |
+
"Heart": 516,
|
| 40 |
+
"Jejunum": 513,
|
| 41 |
+
"Kidney": 3775,
|
| 42 |
+
"Liver": 3881,
|
| 43 |
+
"Lung": 3664,
|
| 44 |
+
"Muscle": 175,
|
| 45 |
+
"Ovary": 2461,
|
| 46 |
+
"Pancreas": 4317,
|
| 47 |
+
"Peritoneum": 291,
|
| 48 |
+
"Placenta": 1291,
|
| 49 |
+
"Prostate": 2639,
|
| 50 |
+
"Rectum": 251,
|
| 51 |
+
"Salivary gland": 2192,
|
| 52 |
+
"Skin": 6227,
|
| 53 |
+
"Spleen": 3828,
|
| 54 |
+
"Stomach": 3932,
|
| 55 |
+
"Testis": 3280,
|
| 56 |
+
"Thymus": 947,
|
| 57 |
+
"Thyroid": 3189,
|
| 58 |
+
"Tongue": 927,
|
| 59 |
+
"Tonsil": 710,
|
| 60 |
+
"Umbilical cord": 41,
|
| 61 |
+
"Uterus": 4497,
|
| 62 |
+
"unknown": 34215
|
| 63 |
},
|
| 64 |
"mpp_counts": {
|
| 65 |
+
"missing": 196110,
|
| 66 |
+
"present": 39236
|
| 67 |
},
|
| 68 |
"level_counts": {
|
| 69 |
+
"missing": 196110,
|
| 70 |
+
"present": 39236
|
| 71 |
},
|
| 72 |
"magnification_counts": {
|
| 73 |
+
"20.0": 18640,
|
| 74 |
+
"40.0": 20596,
|
| 75 |
+
"missing": 196110
|
| 76 |
},
|
| 77 |
"mpp_approximation_counts": {
|
| 78 |
+
"approximate": 28392,
|
| 79 |
+
"missing": 196110,
|
| 80 |
+
"source_metadata": 10844
|
| 81 |
},
|
| 82 |
"scale_level_counts": {
|
| 83 |
+
"high": 39236,
|
| 84 |
+
"missing": 196110
|
| 85 |
},
|
| 86 |
"scale_convention": {
|
| 87 |
"nominal_mpp_formula": "10 / magnification; not scanner-calibrated",
|
|
|
|
| 144 |
"segpath": "not in training_index ready datasets; current source validation is not a pass",
|
| 145 |
"pathbind_grounding": "official testA/testB evaluation data",
|
| 146 |
"pathgen16m": "outside spatial auxiliary training build"
|
| 147 |
+
},
|
| 148 |
+
"quality_filter": "auxiliary_quality_filter_v1",
|
| 149 |
+
"source_export_manifest_sha256": "878b7e84d153a63006539477a26519d775a10358290c33406c69c1b80354c25c",
|
| 150 |
+
"source_export_index_sha256": "a9266b8ef5fcb027a7a7d32638b2f2b70dc9290a26046df68859e07f067ddc78",
|
| 151 |
+
"generated_at": "2026-10-10T03:44:28+08:00",
|
| 152 |
+
"source_export_metadata_root": "/storage/ssd1/jiahao/ZoomPath/audit/auxiliary_quality_filter_20261010/unfiltered_export_metadata"
|
| 153 |
}
|
package/manifest.jsonl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eeda70abfec170771f9084d2330011dcfa8443c2132ea8a2e8a576296e78fa85
|
| 3 |
+
size 594990807
|
package/metadata/unfiltered_export_index.json
ADDED
|
@@ -0,0 +1,148 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "zoompath.auxiliary_training.export.v1",
|
| 3 |
+
"data_role": "auxiliary_training",
|
| 4 |
+
"benchmark_inclusion": false,
|
| 5 |
+
"source_root": "/storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2",
|
| 6 |
+
"source_manifest": "/storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2/training_manifest.jsonl",
|
| 7 |
+
"source_manifest_sha256": "d3a6324a1a53a6c95432a288591830008b3dfe4eea7342bdf8d037299fc79706",
|
| 8 |
+
"manifest": "manifest.jsonl",
|
| 9 |
+
"manifest_sha256": "878b7e84d153a63006539477a26519d775a10358290c33406c69c1b80354c25c",
|
| 10 |
+
"pair_count": 618432,
|
| 11 |
+
"unique_parent_count": 34193,
|
| 12 |
+
"annotation_file_count": 34193,
|
| 13 |
+
"status": "exported; see validation.json for export validation",
|
| 14 |
+
"manual_quality_review": "not_claimed_for_auxiliary_training",
|
| 15 |
+
"dataset_counts": {
|
| 16 |
+
"bcss": 6153,
|
| 17 |
+
"lizard": 325966,
|
| 18 |
+
"midogpp": 8008,
|
| 19 |
+
"nucls": 35848,
|
| 20 |
+
"nuinsseg": 25718,
|
| 21 |
+
"pannuke": 187831,
|
| 22 |
+
"refpath_train": 28908
|
| 23 |
+
},
|
| 24 |
+
"organ_counts": {
|
| 25 |
+
"Adipose tissue": 466,
|
| 26 |
+
"Adrenal gland": 6873,
|
| 27 |
+
"Bile duct": 8960,
|
| 28 |
+
"Bladder": 3155,
|
| 29 |
+
"Brain": 111,
|
| 30 |
+
"Breast": 92592,
|
| 31 |
+
"Cerebellum": 421,
|
| 32 |
+
"Cervix": 7226,
|
| 33 |
+
"Colon": 35333,
|
| 34 |
+
"Colon and rectum": 325966,
|
| 35 |
+
"Epiglottis": 131,
|
| 36 |
+
"Esophagus": 10961,
|
| 37 |
+
"Femur": 360,
|
| 38 |
+
"Head and neck": 7715,
|
| 39 |
+
"Heart": 682,
|
| 40 |
+
"Jejunum": 671,
|
| 41 |
+
"Kidney": 6565,
|
| 42 |
+
"Liver": 6378,
|
| 43 |
+
"Lung": 7864,
|
| 44 |
+
"Muscle": 214,
|
| 45 |
+
"Ovary": 3825,
|
| 46 |
+
"Pancreas": 6241,
|
| 47 |
+
"Peritoneum": 386,
|
| 48 |
+
"Placenta": 1632,
|
| 49 |
+
"Prostate": 4131,
|
| 50 |
+
"Rectum": 329,
|
| 51 |
+
"Salivary gland": 2672,
|
| 52 |
+
"Skin": 8832,
|
| 53 |
+
"Spleen": 4637,
|
| 54 |
+
"Stomach": 6301,
|
| 55 |
+
"Testis": 5022,
|
| 56 |
+
"Thymus": 1124,
|
| 57 |
+
"Thyroid": 4859,
|
| 58 |
+
"Tongue": 1243,
|
| 59 |
+
"Tonsil": 930,
|
| 60 |
+
"Umbilical cord": 77,
|
| 61 |
+
"Uterus": 8686,
|
| 62 |
+
"unknown": 34861
|
| 63 |
+
},
|
| 64 |
+
"mpp_counts": {
|
| 65 |
+
"present": 43069,
|
| 66 |
+
"missing": 575363
|
| 67 |
+
},
|
| 68 |
+
"level_counts": {
|
| 69 |
+
"present": 43069,
|
| 70 |
+
"missing": 575363
|
| 71 |
+
},
|
| 72 |
+
"magnification_counts": {
|
| 73 |
+
"20.0": 22234,
|
| 74 |
+
"40.0": 20835,
|
| 75 |
+
"missing": 575363
|
| 76 |
+
},
|
| 77 |
+
"mpp_approximation_counts": {
|
| 78 |
+
"approximate": 28908,
|
| 79 |
+
"missing": 575363,
|
| 80 |
+
"source_metadata": 14161
|
| 81 |
+
},
|
| 82 |
+
"scale_level_counts": {
|
| 83 |
+
"high": 43069,
|
| 84 |
+
"missing": 575363
|
| 85 |
+
},
|
| 86 |
+
"scale_convention": {
|
| 87 |
+
"nominal_mpp_formula": "10 / magnification; not scanner-calibrated",
|
| 88 |
+
"level_meaning": "training scale category high/mid/low, not WSI pyramid index",
|
| 89 |
+
"magnification_mapping": {
|
| 90 |
+
"40.0": {
|
| 91 |
+
"mpp": [
|
| 92 |
+
0.25,
|
| 93 |
+
0.25
|
| 94 |
+
],
|
| 95 |
+
"level": "high"
|
| 96 |
+
},
|
| 97 |
+
"20.0": {
|
| 98 |
+
"mpp": [
|
| 99 |
+
0.5,
|
| 100 |
+
0.5
|
| 101 |
+
],
|
| 102 |
+
"level": "high"
|
| 103 |
+
},
|
| 104 |
+
"10.0": {
|
| 105 |
+
"mpp": [
|
| 106 |
+
1.0,
|
| 107 |
+
1.0
|
| 108 |
+
],
|
| 109 |
+
"level": "mid"
|
| 110 |
+
},
|
| 111 |
+
"5.0": {
|
| 112 |
+
"mpp": [
|
| 113 |
+
2.0,
|
| 114 |
+
2.0
|
| 115 |
+
],
|
| 116 |
+
"level": "mid"
|
| 117 |
+
},
|
| 118 |
+
"2.5": {
|
| 119 |
+
"mpp": [
|
| 120 |
+
4.0,
|
| 121 |
+
4.0
|
| 122 |
+
],
|
| 123 |
+
"level": "low"
|
| 124 |
+
},
|
| 125 |
+
"1.0": {
|
| 126 |
+
"mpp": [
|
| 127 |
+
10.0,
|
| 128 |
+
10.0
|
| 129 |
+
],
|
| 130 |
+
"level": "low"
|
| 131 |
+
}
|
| 132 |
+
},
|
| 133 |
+
"refpath_train": "approximate: parent longest side 1024 -> 40x; 2048 -> 20x",
|
| 134 |
+
"existing_mpp": "preserve source metadata; classify into nearest nominal training scale"
|
| 135 |
+
},
|
| 136 |
+
"image_layout": {
|
| 137 |
+
"parents": "images/parent",
|
| 138 |
+
"children": "images/child"
|
| 139 |
+
},
|
| 140 |
+
"annotation_layout": "annotations/<dataset>/*.json",
|
| 141 |
+
"path_policy": "all manifest image and annotation paths are relative to this directory",
|
| 142 |
+
"materialization": "hardlinks; do not edit image files in place",
|
| 143 |
+
"excluded": {
|
| 144 |
+
"segpath": "not in training_index ready datasets; current source validation is not a pass",
|
| 145 |
+
"pathbind_grounding": "official testA/testB evaluation data",
|
| 146 |
+
"pathgen16m": "outside spatial auxiliary training build"
|
| 147 |
+
}
|
| 148 |
+
}
|
package/metadata/unfiltered_export_validation.json
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "zoompath.auxiliary_training.export.validation.v1",
|
| 3 |
+
"status": "pass",
|
| 4 |
+
"manifest": "manifest.jsonl",
|
| 5 |
+
"manifest_sha256": "878b7e84d153a63006539477a26519d775a10358290c33406c69c1b80354c25c",
|
| 6 |
+
"row_count": 618432,
|
| 7 |
+
"dataset_counts": {
|
| 8 |
+
"bcss": 6153,
|
| 9 |
+
"lizard": 325966,
|
| 10 |
+
"midogpp": 8008,
|
| 11 |
+
"nucls": 35848,
|
| 12 |
+
"nuinsseg": 25718,
|
| 13 |
+
"pannuke": 187831,
|
| 14 |
+
"refpath_train": 28908
|
| 15 |
+
},
|
| 16 |
+
"annotation_file_count": 34193,
|
| 17 |
+
"unique_parent_count": 34193,
|
| 18 |
+
"multi_valid_target_rows": 594683,
|
| 19 |
+
"organ_counts": {
|
| 20 |
+
"Adipose tissue": 466,
|
| 21 |
+
"Adrenal gland": 6873,
|
| 22 |
+
"Bile duct": 8960,
|
| 23 |
+
"Bladder": 3155,
|
| 24 |
+
"Brain": 111,
|
| 25 |
+
"Breast": 92592,
|
| 26 |
+
"Cerebellum": 421,
|
| 27 |
+
"Cervix": 7226,
|
| 28 |
+
"Colon": 35333,
|
| 29 |
+
"Colon and rectum": 325966,
|
| 30 |
+
"Epiglottis": 131,
|
| 31 |
+
"Esophagus": 10961,
|
| 32 |
+
"Femur": 360,
|
| 33 |
+
"Head and neck": 7715,
|
| 34 |
+
"Heart": 682,
|
| 35 |
+
"Jejunum": 671,
|
| 36 |
+
"Kidney": 6565,
|
| 37 |
+
"Liver": 6378,
|
| 38 |
+
"Lung": 7864,
|
| 39 |
+
"Muscle": 214,
|
| 40 |
+
"Ovary": 3825,
|
| 41 |
+
"Pancreas": 6241,
|
| 42 |
+
"Peritoneum": 386,
|
| 43 |
+
"Placenta": 1632,
|
| 44 |
+
"Prostate": 4131,
|
| 45 |
+
"Rectum": 329,
|
| 46 |
+
"Salivary gland": 2672,
|
| 47 |
+
"Skin": 8832,
|
| 48 |
+
"Spleen": 4637,
|
| 49 |
+
"Stomach": 6301,
|
| 50 |
+
"Testis": 5022,
|
| 51 |
+
"Thymus": 1124,
|
| 52 |
+
"Thyroid": 4859,
|
| 53 |
+
"Tongue": 1243,
|
| 54 |
+
"Tonsil": 930,
|
| 55 |
+
"Umbilical cord": 77,
|
| 56 |
+
"Uterus": 8686,
|
| 57 |
+
"unknown": 34861
|
| 58 |
+
},
|
| 59 |
+
"mpp_counts": {
|
| 60 |
+
"present": 43069,
|
| 61 |
+
"missing": 575363
|
| 62 |
+
},
|
| 63 |
+
"level_counts": {
|
| 64 |
+
"present": 43069,
|
| 65 |
+
"missing": 575363
|
| 66 |
+
},
|
| 67 |
+
"magnification_counts": {
|
| 68 |
+
"20.0": 22234,
|
| 69 |
+
"40.0": 20835,
|
| 70 |
+
"missing": 575363
|
| 71 |
+
},
|
| 72 |
+
"mpp_approximation_counts": {
|
| 73 |
+
"approximate": 28908,
|
| 74 |
+
"missing": 575363,
|
| 75 |
+
"source_metadata": 14161
|
| 76 |
+
},
|
| 77 |
+
"scale_level_counts": {
|
| 78 |
+
"high": 43069,
|
| 79 |
+
"missing": 575363
|
| 80 |
+
},
|
| 81 |
+
"validation_scope": "all rows: paths, unique IDs, bounds, query coverage, source target linkage and metadata; pixels per pixel_check_mode",
|
| 82 |
+
"pixel_check_mode": "deterministic_sample",
|
| 83 |
+
"pixel_checked_rows": 700,
|
| 84 |
+
"sample_size_per_dataset": 100,
|
| 85 |
+
"error_count": 0,
|
| 86 |
+
"errors": []
|
| 87 |
+
}
|
package/quality_filter_policy.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"policy_id": "auxiliary_quality_filter_v1",
|
| 3 |
+
"seed": 20261010,
|
| 4 |
+
"parent": {
|
| 5 |
+
"min_short_side": 256,
|
| 6 |
+
"max_aspect_ratio": 4.0
|
| 7 |
+
},
|
| 8 |
+
"nucleus": {
|
| 9 |
+
"datasets": [
|
| 10 |
+
"pannuke",
|
| 11 |
+
"nuinsseg",
|
| 12 |
+
"nucls",
|
| 13 |
+
"lizard"
|
| 14 |
+
],
|
| 15 |
+
"min_short_side": 12,
|
| 16 |
+
"min_bbox_area": 256,
|
| 17 |
+
"max_aspect_ratio": 4.0,
|
| 18 |
+
"min_mask_fill": 0.3,
|
| 19 |
+
"exclude_source_boundary": true,
|
| 20 |
+
"lizard_min_largest_component_fraction": 0.9
|
| 21 |
+
},
|
| 22 |
+
"region": {
|
| 23 |
+
"datasets": [
|
| 24 |
+
"refpath_train",
|
| 25 |
+
"bcss"
|
| 26 |
+
],
|
| 27 |
+
"min_short_side": 64,
|
| 28 |
+
"min_bbox_area": 4096,
|
| 29 |
+
"max_aspect_ratio": 6.0,
|
| 30 |
+
"max_parent_area_fraction": 0.8
|
| 31 |
+
},
|
| 32 |
+
"midogpp": {
|
| 33 |
+
"local_parent_side": 1024,
|
| 34 |
+
"preferred_target_margin": 64,
|
| 35 |
+
"min_short_side": 12,
|
| 36 |
+
"min_bbox_area": 256,
|
| 37 |
+
"max_aspect_ratio": 4.0
|
| 38 |
+
},
|
| 39 |
+
"reference_visibility": {
|
| 40 |
+
"long_edge": 1024,
|
| 41 |
+
"allow_upscale": false,
|
| 42 |
+
"min_target_short_side": 8.0,
|
| 43 |
+
"note": "Reference quality criterion, not a claim about the eventual training processor."
|
| 44 |
+
},
|
| 45 |
+
"image_quality": {
|
| 46 |
+
"metric_max_side": 128,
|
| 47 |
+
"white_channel_min": 245,
|
| 48 |
+
"black_channel_max": 10,
|
| 49 |
+
"blank_pixel_fraction": 0.995,
|
| 50 |
+
"blank_gray_std_max": 5.0,
|
| 51 |
+
"uniform_gray_std_max": 1.0,
|
| 52 |
+
"uniform_saturation_p90_max": 5.0,
|
| 53 |
+
"blur_review_quantile": 0.01,
|
| 54 |
+
"blur_filter_applied": false,
|
| 55 |
+
"stain_filter_applied": false
|
| 56 |
+
},
|
| 57 |
+
"recommended_sampling": {
|
| 58 |
+
"unit": "dataset, then parent/query, then an eligible target",
|
| 59 |
+
"dataset_probabilities": {
|
| 60 |
+
"refpath_train": 0.25,
|
| 61 |
+
"pannuke": 0.2,
|
| 62 |
+
"nucls": 0.15,
|
| 63 |
+
"nuinsseg": 0.15,
|
| 64 |
+
"bcss": 0.1,
|
| 65 |
+
"midogpp": 0.1,
|
| 66 |
+
"lizard": 0.05
|
| 67 |
+
},
|
| 68 |
+
"applied_to_export": false
|
| 69 |
+
},
|
| 70 |
+
"unsupported_sources": {
|
| 71 |
+
"segpath": "Source manifest validation error and source-summary count mismatch; not repaired here.",
|
| 72 |
+
"pathbind_grounding": "Official testA/testB samples are not training data.",
|
| 73 |
+
"pathgen16m": "Caption-based legacy subset is outside spatial grounding export."
|
| 74 |
+
}
|
| 75 |
+
}
|
package/quality_filter_report.json
ADDED
|
@@ -0,0 +1,422 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"policy_id": "auxiliary_quality_filter_v1",
|
| 3 |
+
"started_at": "2026-10-10T02:17:40+08:00",
|
| 4 |
+
"source_manifest_sha256": "878b7e84d153a63006539477a26519d775a10358290c33406c69c1b80354c25c",
|
| 5 |
+
"source_index_sha256": "a9266b8ef5fcb027a7a7d32638b2f2b70dc9290a26046df68859e07f067ddc78",
|
| 6 |
+
"source_root": "/storage/ssd1/jiahao/ZoomPath/audit/auxiliary_quality_filter_20261010/unfiltered_export_metadata",
|
| 7 |
+
"output_root": "/storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2/zoompath_training_v4",
|
| 8 |
+
"source_modified": false,
|
| 9 |
+
"huggingface_updated": false,
|
| 10 |
+
"manual_review_performed": false,
|
| 11 |
+
"datasets": {
|
| 12 |
+
"bcss": {
|
| 13 |
+
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|
| 14 |
+
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|
| 15 |
+
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|
| 16 |
+
"retention_fraction": 0.4609133755891435,
|
| 17 |
+
"source_parent_count": 389,
|
| 18 |
+
"primary_exclusion_counts": {
|
| 19 |
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"region_short_side_lt_64": 2816,
|
| 20 |
+
"region_bbox_parent_area_fraction_gt_0.80": 269,
|
| 21 |
+
"parent_short_side_lt_256": 225,
|
| 22 |
+
"region_aspect_ratio_gt_6": 7
|
| 23 |
+
},
|
| 24 |
+
"overlapping_exclusion_counts": {
|
| 25 |
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"region_short_side_lt_64": 2934,
|
| 26 |
+
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
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|
| 30 |
+
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|
| 31 |
+
"short_side_after_reference_resize_lt_8": 74
|
| 32 |
+
},
|
| 33 |
+
"class_counts_before": {
|
| 34 |
+
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|
| 35 |
+
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|
| 36 |
+
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|
| 37 |
+
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|
| 38 |
+
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|
| 39 |
+
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|
| 40 |
+
"blood": 83,
|
| 41 |
+
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|
| 42 |
+
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|
| 43 |
+
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|
| 44 |
+
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|
| 45 |
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|
| 46 |
+
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|
| 47 |
+
},
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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}
|
| 63 |
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},
|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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},
|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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},
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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},
|
| 139 |
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|
| 140 |
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"tumor nonMitotic nucleus": 14880,
|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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},
|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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}
|
| 157 |
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},
|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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},
|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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}
|
| 185 |
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},
|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 396 |
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},
|
| 397 |
+
"excluded_sources": {
|
| 398 |
+
"segpath": "Source manifest validation error and source-summary count mismatch; not repaired here.",
|
| 399 |
+
"pathbind_grounding": "Official testA/testB samples are not training data.",
|
| 400 |
+
"pathgen16m": "Caption-based legacy subset is outside spatial grounding export."
|
| 401 |
+
},
|
| 402 |
+
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|
| 403 |
+
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|
| 404 |
+
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|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
+
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|
| 410 |
+
"midog_local_parent_count": 5514,
|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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"implementation_sha256": "9cf76af52201fca74f5c97e4cf1c68a0d3a5b6f315513574b05bdfb85c42e032",
|
| 416 |
+
"generation_source_root": "/storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2/zoompath_training_v4",
|
| 417 |
+
"generation_output_root": "/storage/ssd1/jiahao/ZoomPath/auxiliary_training_v2/zoompath_training_v4_quality_filtered",
|
| 418 |
+
"local_compaction_audit": "/storage/ssd1/jiahao/ZoomPath/audit/auxiliary_quality_filter_20261010/compaction.json",
|
| 419 |
+
"original_complete_backup_root": "/jhcnas3/jiahao/ZoomPath/auxiliary_training_v2",
|
| 420 |
+
"readme_sha256": "729b4cb200ee0da3bfc8ba6f58c6da96c7f330dcfbf794f9b7861580725617c4",
|
| 421 |
+
"methods_sha256": "85b5181cef227178b0876f69d7fce367ec3512afd69c28d5ba0a2f1b222f277b"
|
| 422 |
+
}
|
package/quality_validation.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"status": "pass",
|
| 3 |
+
"validation_scope": "all source decisions, all output rows and annotation views; source preservation, target eligibility and ignore semantics",
|
| 4 |
+
"manual_review_performed": false,
|
| 5 |
+
"counts": {
|
| 6 |
+
"source_rows": 618432,
|
| 7 |
+
"retained_rows": 235346,
|
| 8 |
+
"eligible_answer_instances_across_rows": 18384090,
|
| 9 |
+
"ignored_answer_instances_across_rows": 36226228,
|
| 10 |
+
"unique_eligible_targets_in_views": 244563,
|
| 11 |
+
"excluded_rows": 383086,
|
| 12 |
+
"unique_ignored_targets_in_views": 383211
|
| 13 |
+
},
|
| 14 |
+
"dataset_counts": {
|
| 15 |
+
"refpath_train": 28392,
|
| 16 |
+
"pannuke": 111605,
|
| 17 |
+
"nuinsseg": 20521,
|
| 18 |
+
"nucls": 32538,
|
| 19 |
+
"bcss": 2836,
|
| 20 |
+
"lizard": 31446,
|
| 21 |
+
"midogpp": 8008
|
| 22 |
+
},
|
| 23 |
+
"annotation_views_checked": 38836,
|
| 24 |
+
"retained_selected_target_instances_in_views": 235346,
|
| 25 |
+
"source_manifest_sha256": "878b7e84d153a63006539477a26519d775a10358290c33406c69c1b80354c25c",
|
| 26 |
+
"output_manifest_sha256": "eeda70abfec170771f9084d2330011dcfa8443c2132ea8a2e8a576296e78fa85",
|
| 27 |
+
"source_mask_checksums_checked": 148,
|
| 28 |
+
"error_count": 0
|
| 29 |
+
}
|
package/review/bcss_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/bcss_kept.jpg
ADDED
|
Git LFS Details
|
package/review/lizard_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/lizard_kept.jpg
ADDED
|
Git LFS Details
|
package/review/low_focus_candidates.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
package/review/midogpp_kept.jpg
ADDED
|
Git LFS Details
|
package/review/nucls_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/nucls_kept.jpg
ADDED
|
Git LFS Details
|
package/review/nuinsseg_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/nuinsseg_kept.jpg
ADDED
|
Git LFS Details
|
package/review/pannuke_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/pannuke_kept.jpg
ADDED
|
Git LFS Details
|
package/review/refpath_train_excluded.jpg
ADDED
|
Git LFS Details
|
package/review/refpath_train_kept.jpg
ADDED
|
Git LFS Details
|
package/review/samples.json
ADDED
|
@@ -0,0 +1,1222 @@
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| 1028 |
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| 1040 |
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|
| 1055 |
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| 1057 |
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|
| 1058 |
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| 1070 |
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|
| 1071 |
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| 1073 |
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| 1074 |
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|
| 1085 |
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| 1086 |
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|
| 1087 |
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|
| 1088 |
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| 1089 |
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|
| 1090 |
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| 1091 |
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| 1094 |
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|
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|
| 1101 |
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|
| 1102 |
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|
| 1103 |
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|
| 1104 |
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|
| 1105 |
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|
| 1106 |
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"dataset": "refpath_train",
|
| 1107 |
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|
| 1117 |
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|
| 1119 |
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| 1120 |
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|
| 1121 |
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|
| 1122 |
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|
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| 1133 |
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|
| 1135 |
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|
| 1136 |
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|
| 1137 |
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{
|
| 1138 |
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|
| 1139 |
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| 1140 |
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|
| 1149 |
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|
| 1150 |
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|
| 1151 |
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|
| 1152 |
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|
| 1153 |
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|
| 1154 |
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| 1155 |
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|
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|
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|
| 1161 |
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|
| 1162 |
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|
| 1163 |
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|
| 1164 |
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|
| 1165 |
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{
|
| 1166 |
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|
| 1167 |
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|
| 1168 |
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| 1169 |
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| 1170 |
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|
| 1177 |
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|
| 1178 |
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|
| 1179 |
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{
|
| 1180 |
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"dataset": "refpath_train",
|
| 1181 |
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"state": "kept",
|
| 1182 |
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|
| 1183 |
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|
| 1184 |
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|
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|
| 1188 |
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|
| 1189 |
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|
| 1190 |
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|
| 1191 |
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|
| 1192 |
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|
| 1193 |
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{
|
| 1194 |
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"dataset": "refpath_train",
|
| 1195 |
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"state": "kept",
|
| 1196 |
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|
| 1197 |
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|
| 1198 |
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"bbox_xyxy_in_original_parent": [
|
| 1199 |
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|
| 1200 |
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|
| 1201 |
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|
| 1202 |
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|
| 1203 |
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],
|
| 1204 |
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"parent_crop_xyxy_in_original_parent": null,
|
| 1205 |
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|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"dataset": "refpath_train",
|
| 1209 |
+
"state": "kept",
|
| 1210 |
+
"record_id": "b9fabbfa6849f0529c0e500d",
|
| 1211 |
+
"source_parent_path": "images/parent/84/84a20bf3f40495212f6a501c2a9fda8bff67f6ffc5abd7aa72e87bc4578269f7.jpg",
|
| 1212 |
+
"bbox_xyxy_in_original_parent": [
|
| 1213 |
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|
| 1214 |
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|
| 1215 |
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|
| 1216 |
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|
| 1217 |
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|
| 1218 |
+
"parent_crop_xyxy_in_original_parent": null,
|
| 1219 |
+
"reasons": []
|
| 1220 |
+
}
|
| 1221 |
+
]
|
| 1222 |
+
}
|
package/sampling_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"unit": "dataset, then parent/query, then an eligible target",
|
| 3 |
+
"dataset_probabilities": {
|
| 4 |
+
"refpath_train": 0.25,
|
| 5 |
+
"pannuke": 0.2,
|
| 6 |
+
"nucls": 0.15,
|
| 7 |
+
"nuinsseg": 0.15,
|
| 8 |
+
"bcss": 0.1,
|
| 9 |
+
"midogpp": 0.1,
|
| 10 |
+
"lizard": 0.05
|
| 11 |
+
},
|
| 12 |
+
"applied_to_export": false
|
| 13 |
+
}
|
package/storage_compaction.json
ADDED
|
@@ -0,0 +1,398 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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"train.jsonl.download.json": "c0d401a911bd2c535913add6e6ac299afe3362f68171caea7bb983bff08e3101"
|
| 153 |
+
},
|
| 154 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"path": "sources/pannuke",
|
| 158 |
+
"backup_verified": true,
|
| 159 |
+
"content_hashes": {
|
| 160 |
+
"repaired_fold2.zip.download.json": "3fe9ddd3da9db056de71c9c588e23c71f682b2c3bf198be4ab1abf345e336328",
|
| 161 |
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"repaired_fold3.zip.download.json": "a275514c3bb7e0404add1dcecbf434ffd9e73d91204269ea214bb883b28f363c",
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"source.json": "5ca0d8eaee9f08f2731ba0501607b86d4746d2bcf6f6bcbfa3eb5913c14cb959"
|
| 163 |
+
},
|
| 164 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"path": "sources/nuinsseg",
|
| 168 |
+
"backup_verified": true,
|
| 169 |
+
"content_hashes": {
|
| 170 |
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"nuinsseg.zip.download.json": "aa7a074469f2e1f36f9a485ac03a9955964e3e2192995b5a754d99e8c427f321",
|
| 171 |
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"source.json": "1a77f10e472f011c7013fc12601c1e47efb03a8edfbe3375fc5c6913500b9d82",
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"data/human bladder/distance maps/human_bladder_01.png": "17334daba0c5d0f5b30139a679c144529f3dbb69f3bf8da1ac1bc3977afc12f3",
|
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"data/human bladder/distance maps/human_bladder_02.png": "931f0f93871aab35b2bde0587b20e4f76bcf2c8e6cbf4267f99bc5083a1810a0",
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"data/human bladder/distance maps/human_bladder_03.png": "05ea2ae542eb1a97af448726d964970062bc3618453e6be099f7ebc6d57d1f45",
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"data/human bladder/distance maps/human_bladder_04.png": "eae4586bfc960fa4365f039b64f54f4e17a4e454e9cd776b44eedf5c9209709a"
|
| 176 |
+
},
|
| 177 |
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"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"path": "sources/nucls",
|
| 181 |
+
"backup_verified": true,
|
| 182 |
+
"content_hashes": {
|
| 183 |
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"mirror.zip.download.json": "3736c84a5bd0368d071ea105d4a4ead9e882e682e3e0a4e57db3a00e304c5613",
|
| 184 |
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"source.json": "5c41502ff44bc46feb11981210be5e3a0040b5ab9f506d0c1e50edbd0789bdbe"
|
| 185 |
+
},
|
| 186 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"path": "sources/bcss",
|
| 190 |
+
"backup_verified": true,
|
| 191 |
+
"content_hashes": {
|
| 192 |
+
"gtruth_codes.tsv.download.json": "ca6cbea0c5dee3cf90044a2e85da0063eb8da9b55c2f6397ee28f088b89c4156",
|
| 193 |
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"mirror.zip.download.json": "57cb3bbb8ca2ae3cc162c2cb39787c0ba08a23c4db7bcb7b5db974922228a44d",
|
| 194 |
+
"source.json": "bfd542a454fed89ddf2e43da914af0f0f61e30db73ade62eabcd75e0369a08a9",
|
| 195 |
+
"data/masks/TCGA-A1-A0SK-DX1_xmin45749_ymin25055_MPP-0.2500.png": "ad3b8c998323c6ed10c7abda1d43aa824cc02d3afdebeb465b0f0e042266c6db",
|
| 196 |
+
"data/masks/TCGA-A1-A0SP-DX1_xmin6798_ymin53719_MPP-0.2500.png": "05940f74ea7be9906da54ae951c4364b31d115dbbf22a2576b566975ab4f7fd1",
|
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"data/masks/TCGA-A2-A04P-DX1_xmin104246_ymin48517_MPP-0.2500.png": "015edca9ead15e7e5f6564a801a0f725116d7da1eb0c2370c139eba7c7ef14de",
|
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"data/masks/TCGA-A2-A04Q-DX1_xmin20868_ymin17804_MPP-0.2500.png": "d9722f0c73416243ed18c0f8515293d9ba123f2e6133ab2ca480aa5b40532f86"
|
| 199 |
+
},
|
| 200 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"path": "sources/lizard",
|
| 204 |
+
"backup_verified": true,
|
| 205 |
+
"content_hashes": {
|
| 206 |
+
"lizard.zip.download.json": "d85594c1800a0e7e6785b54a3548312ece4a8baa9ff7314076fe36c37df6fa73",
|
| 207 |
+
"source.json": "938c75b75081de8743ba611cc30fd9c7c2c01360b522ab40898140eedb9d83f9",
|
| 208 |
+
"data/lizard_images1/Lizard_Images1/consep_1.png": "b4857224beed54514bd33d0fe4edb9d43c1a1d14a8f7c2cd401c7f07d8791554",
|
| 209 |
+
"data/lizard_images1/Lizard_Images1/consep_10.png": "e767ee8144ae9a6fbf0cc58a35c8a99109aa4b4583acbb73186d65742357e7fd",
|
| 210 |
+
"data/lizard_images1/Lizard_Images1/consep_11.png": "d34c8d36933d7e9d95bbd705278dcf7e6f5a2694065b6f8a0e6aa1116ce00862",
|
| 211 |
+
"data/lizard_images1/Lizard_Images1/consep_12.png": "01abb2bfac3c543643502254eb403acf88590926fcde18035dfb9f93cc5e8241"
|
| 212 |
+
},
|
| 213 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"path": "sources/midogpp",
|
| 217 |
+
"backup_verified": true,
|
| 218 |
+
"content_hashes": {
|
| 219 |
+
"annotations.json": "8c87ab4276eb11f6b6b5ac0d956b89dad7568a5474e0904b653d54dc68091f47",
|
| 220 |
+
"annotations.json.download.json": "0112c795e0c15c244f05ea4668b6c2fe8dc8c6c1d68ff2ccbf2b3a207265770b",
|
| 221 |
+
"source.json": "d2db14fcaa20d10071984de750721509007df84d94d28eaa56cd645a4de1387b",
|
| 222 |
+
"splits.csv.download.json": "ff0d1945883182f18f8a619731f6f8502fb486194332accf83580da6dfbd2a69"
|
| 223 |
+
},
|
| 224 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"path": "pathbind_grounding",
|
| 228 |
+
"backup_verified": true,
|
| 229 |
+
"content_hashes": {
|
| 230 |
+
"EXCLUDED_FROM_TRAINING.md": "46ad0839b9317508fb1c8a151cdcd5b008b6076fbe4971c8d45e9d2280f16c4e",
|
| 231 |
+
"SOURCE_NOTICE.md": "5aed2e74d881d7b9fe4bea71dcb0c9cdd33e52bc9b85ad5b96fe78a9b6f10667",
|
| 232 |
+
"manifest.jsonl": "6d5089b7e7b5b9280dff0850914f497a5975945606ca5c327e757de988072811",
|
| 233 |
+
"summary.json": "57bc670cfb32f9bd724744167d51d5e8df868f5f62b3446fea4924ef90adf877"
|
| 234 |
+
},
|
| 235 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"path": "pathbind_source",
|
| 239 |
+
"backup_verified": true,
|
| 240 |
+
"content_hashes": {
|
| 241 |
+
"README.md": "9b370accf95e7c67746b14936890b3e755c444a92d2ce783cc171bde5dc49392"
|
| 242 |
+
},
|
| 243 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"path": "pathgen16m",
|
| 247 |
+
"backup_verified": true,
|
| 248 |
+
"content_hashes": {
|
| 249 |
+
"SOURCE_NOTICE.md": "9259fdd755b5096c025fdfff583f655c3b39c25818cf80b3656a72c4e4fa4eeb",
|
| 250 |
+
"manifest.jsonl": "f57b5d894f8d5d0aa4458de17b5a6ff2349f09d1fc88e171ddddc91b03a40e04",
|
| 251 |
+
"summary.json": "dc6295d7d4035afae6320746968d9cc4927a6dde7f0f3d2d8789ba2a80bd0835"
|
| 252 |
+
},
|
| 253 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"path": "refpath_source",
|
| 257 |
+
"backup_verified": true,
|
| 258 |
+
"content_hashes": {
|
| 259 |
+
"README.md": "9ff61105c61254e916ceea30a16930d1d735ca39d09a85b3e0bab5d7cbc84676",
|
| 260 |
+
"testA.jsonl": "0b60532f01864138f8e842af7f4899ec2d89daa1d53fd5299055cf1a504a4ebd",
|
| 261 |
+
"testB.jsonl": "b5cb0103aece56bc711098d281133f8f915615614b517b9431ffce9a86691909"
|
| 262 |
+
},
|
| 263 |
+
"verification": "all relative file paths and sizes; top-level metadata and sampled PNG SHA-256"
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"path": "segpath",
|
| 267 |
+
"backup_verified": false,
|
| 268 |
+
"reason": "missing_or_linked_directory"
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"path": "sources/segpath",
|
| 272 |
+
"backup_verified": false,
|
| 273 |
+
"reason": "backup_inventory_differs",
|
| 274 |
+
"difference_count": 317407,
|
| 275 |
+
"difference_examples": [
|
| 276 |
+
">f+++++++++ CD235a_RBC.tar.gz",
|
| 277 |
+
">f+++++++++ CD235a_RBC.tar.gz.download.json",
|
| 278 |
+
">f+++++++++ CD3CD20_Lymphocyte.tar.gz",
|
| 279 |
+
">f+++++++++ CD3CD20_Lymphocyte.tar.gz.download.json",
|
| 280 |
+
">f+++++++++ CD45RB_Leukocyte.tar.gz",
|
| 281 |
+
">f+++++++++ CD45RB_Leukocyte.tar.gz.download.json",
|
| 282 |
+
">f+++++++++ ERG_Endothelium.tar.gz",
|
| 283 |
+
">f+++++++++ ERG_Endothelium.tar.gz.download.json",
|
| 284 |
+
">f+++++++++ MIST1_PlasmaCell.tar.gz",
|
| 285 |
+
">f+++++++++ MIST1_PlasmaCell.tar.gz.download.json"
|
| 286 |
+
]
|
| 287 |
+
}
|
| 288 |
+
],
|
| 289 |
+
"delete_directories": [
|
| 290 |
+
"refpath_train",
|
| 291 |
+
"pannuke",
|
| 292 |
+
"nuinsseg",
|
| 293 |
+
"nucls",
|
| 294 |
+
"bcss",
|
| 295 |
+
"lizard",
|
| 296 |
+
"midogpp",
|
| 297 |
+
"sources/refpath_train",
|
| 298 |
+
"sources/pannuke",
|
| 299 |
+
"sources/nuinsseg",
|
| 300 |
+
"sources/nucls",
|
| 301 |
+
"sources/bcss",
|
| 302 |
+
"sources/lizard",
|
| 303 |
+
"sources/midogpp",
|
| 304 |
+
"pathbind_grounding",
|
| 305 |
+
"pathbind_source",
|
| 306 |
+
"pathgen16m",
|
| 307 |
+
"refpath_source"
|
| 308 |
+
],
|
| 309 |
+
"preserve_directories": [
|
| 310 |
+
"segpath",
|
| 311 |
+
"sources/segpath"
|
| 312 |
+
],
|
| 313 |
+
"disk_free_before": 279731953664,
|
| 314 |
+
"unfiltered_metadata_archive": "/storage/ssd1/jiahao/ZoomPath/audit/auxiliary_quality_filter_20261010/unfiltered_export_metadata",
|
| 315 |
+
"manual_review_performed": false,
|
| 316 |
+
"huggingface_updated": false,
|
| 317 |
+
"status": "complete",
|
| 318 |
+
"operations": [
|
| 319 |
+
{
|
| 320 |
+
"action": "promote_filtered_and_archive_source_metadata"
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"action": "delete_backup_verified_directory",
|
| 324 |
+
"path": "refpath_train"
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"action": "delete_backup_verified_directory",
|
| 328 |
+
"path": "pannuke"
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"action": "delete_backup_verified_directory",
|
| 332 |
+
"path": "nuinsseg"
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"action": "delete_backup_verified_directory",
|
| 336 |
+
"path": "nucls"
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"action": "delete_backup_verified_directory",
|
| 340 |
+
"path": "bcss"
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"action": "delete_backup_verified_directory",
|
| 344 |
+
"path": "lizard"
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"action": "delete_backup_verified_directory",
|
| 348 |
+
"path": "midogpp"
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"action": "delete_backup_verified_directory",
|
| 352 |
+
"path": "sources/refpath_train"
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"action": "delete_backup_verified_directory",
|
| 356 |
+
"path": "sources/pannuke"
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"action": "delete_backup_verified_directory",
|
| 360 |
+
"path": "sources/nuinsseg"
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"action": "delete_backup_verified_directory",
|
| 364 |
+
"path": "sources/nucls"
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"action": "delete_backup_verified_directory",
|
| 368 |
+
"path": "sources/bcss"
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"action": "delete_backup_verified_directory",
|
| 372 |
+
"path": "sources/lizard"
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"action": "delete_backup_verified_directory",
|
| 376 |
+
"path": "sources/midogpp"
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"action": "delete_backup_verified_directory",
|
| 380 |
+
"path": "pathbind_grounding"
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"action": "delete_backup_verified_directory",
|
| 384 |
+
"path": "pathbind_source"
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"action": "delete_backup_verified_directory",
|
| 388 |
+
"path": "pathgen16m"
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"action": "delete_backup_verified_directory",
|
| 392 |
+
"path": "refpath_source"
|
| 393 |
+
}
|
| 394 |
+
],
|
| 395 |
+
"completed_at": "2026-10-10T04:06:57+08:00",
|
| 396 |
+
"disk_free_after": 391760920576,
|
| 397 |
+
"filesystem_free_bytes_increase": 112028966912
|
| 398 |
+
}
|
package/training_data.py
CHANGED
|
@@ -41,6 +41,7 @@ class AuxiliaryTrainingReader:
|
|
| 41 |
self._annotation_path: str | None = None
|
| 42 |
self._targets: list[dict[str, Any]] = []
|
| 43 |
self._groups: dict[tuple[str, str], list[dict[str, Any]]] = {}
|
|
|
|
| 44 |
|
| 45 |
def resolve(self, relative: str) -> Path:
|
| 46 |
path = Path(relative)
|
|
@@ -62,10 +63,12 @@ class AuxiliaryTrainingReader:
|
|
| 62 |
payload = json.loads(self.resolve(path).read_text(encoding="utf-8"))
|
| 63 |
self._targets = payload["targets"]
|
| 64 |
self._groups = {}
|
|
|
|
| 65 |
for target in self._targets:
|
|
|
|
| 66 |
for key in ("label", "expression"):
|
| 67 |
if key in target:
|
| 68 |
-
|
| 69 |
self._annotation_path = path
|
| 70 |
return self._targets
|
| 71 |
|
|
@@ -80,6 +83,12 @@ class AuxiliaryTrainingReader:
|
|
| 80 |
raise ValueError(f"Target count mismatch: {row['record_id']}")
|
| 81 |
return matches
|
| 82 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 83 |
def load_pair(self, row: dict[str, Any]) -> dict[str, Any]:
|
| 84 |
from PIL import Image
|
| 85 |
|
|
@@ -92,6 +101,8 @@ class AuxiliaryTrainingReader:
|
|
| 92 |
"parent_image": parent, "child_image": child, "question": row["question"],
|
| 93 |
"child_bbox_xyxy_in_parent": row["child_bbox_xyxy_in_parent"],
|
| 94 |
"valid_target_bboxes_xyxy_in_parent": [target["bbox_xyxy"] for target in self.valid_targets(row)],
|
|
|
|
|
|
|
| 95 |
"organ": row["organ"], "mpp": row["parent_image"]["mpp"],
|
| 96 |
"magnification": row["parent_image"].get("magnification"),
|
| 97 |
"mpp_is_approximate": row["parent_image"].get("mpp_is_approximate", False),
|
|
|
|
| 41 |
self._annotation_path: str | None = None
|
| 42 |
self._targets: list[dict[str, Any]] = []
|
| 43 |
self._groups: dict[tuple[str, str], list[dict[str, Any]]] = {}
|
| 44 |
+
self._ignored_groups: dict[tuple[str, str], list[dict[str, Any]]] = {}
|
| 45 |
|
| 46 |
def resolve(self, relative: str) -> Path:
|
| 47 |
path = Path(relative)
|
|
|
|
| 63 |
payload = json.loads(self.resolve(path).read_text(encoding="utf-8"))
|
| 64 |
self._targets = payload["targets"]
|
| 65 |
self._groups = {}
|
| 66 |
+
self._ignored_groups = {}
|
| 67 |
for target in self._targets:
|
| 68 |
+
groups = self._groups if target.get("training_eligible", True) else self._ignored_groups
|
| 69 |
for key in ("label", "expression"):
|
| 70 |
if key in target:
|
| 71 |
+
groups.setdefault((key, target[key]), []).append(target)
|
| 72 |
self._annotation_path = path
|
| 73 |
return self._targets
|
| 74 |
|
|
|
|
| 83 |
raise ValueError(f"Target count mismatch: {row['record_id']}")
|
| 84 |
return matches
|
| 85 |
|
| 86 |
+
def ignored_targets(self, row: dict[str, Any]) -> list[dict[str, Any]]:
|
| 87 |
+
"""Source-supported query matches excluded from positive training supervision."""
|
| 88 |
+
self.annotation_targets(row)
|
| 89 |
+
key, value = next(iter(row["valid_targets_filter"].items()))
|
| 90 |
+
return self._ignored_groups.get((key, value), [])
|
| 91 |
+
|
| 92 |
def load_pair(self, row: dict[str, Any]) -> dict[str, Any]:
|
| 93 |
from PIL import Image
|
| 94 |
|
|
|
|
| 101 |
"parent_image": parent, "child_image": child, "question": row["question"],
|
| 102 |
"child_bbox_xyxy_in_parent": row["child_bbox_xyxy_in_parent"],
|
| 103 |
"valid_target_bboxes_xyxy_in_parent": [target["bbox_xyxy"] for target in self.valid_targets(row)],
|
| 104 |
+
"ignored_target_bboxes_xyxy_in_parent": [target["bbox_xyxy"] for target in self.ignored_targets(row)],
|
| 105 |
+
"ignored_targets_are_not_negatives": bool(row.get("quality_filter")),
|
| 106 |
"organ": row["organ"], "mpp": row["parent_image"]["mpp"],
|
| 107 |
"magnification": row["parent_image"].get("magnification"),
|
| 108 |
"mpp_is_approximate": row["parent_image"].get("mpp_is_approximate", False),
|
package/validation.json
CHANGED
|
@@ -2,81 +2,81 @@
|
|
| 2 |
"schema_version": "zoompath.auxiliary_training.export.validation.v1",
|
| 3 |
"status": "pass",
|
| 4 |
"manifest": "manifest.jsonl",
|
| 5 |
-
"manifest_sha256": "
|
| 6 |
-
"row_count":
|
| 7 |
"dataset_counts": {
|
| 8 |
-
"bcss":
|
| 9 |
-
"lizard":
|
| 10 |
"midogpp": 8008,
|
| 11 |
-
"nucls":
|
| 12 |
-
"nuinsseg":
|
| 13 |
-
"pannuke":
|
| 14 |
-
"refpath_train":
|
| 15 |
},
|
| 16 |
-
"annotation_file_count":
|
| 17 |
-
"unique_parent_count":
|
| 18 |
-
"multi_valid_target_rows":
|
| 19 |
"organ_counts": {
|
| 20 |
-
"Adipose tissue":
|
| 21 |
-
"Adrenal gland":
|
| 22 |
-
"Bile duct":
|
| 23 |
-
"Bladder":
|
| 24 |
-
"Brain":
|
| 25 |
-
"Breast":
|
| 26 |
-
"Cerebellum":
|
| 27 |
-
"Cervix":
|
| 28 |
-
"Colon":
|
| 29 |
-
"Colon and rectum":
|
| 30 |
-
"Epiglottis":
|
| 31 |
-
"Esophagus":
|
| 32 |
-
"Femur":
|
| 33 |
-
"Head and neck":
|
| 34 |
-
"Heart":
|
| 35 |
-
"Jejunum":
|
| 36 |
-
"Kidney":
|
| 37 |
-
"Liver":
|
| 38 |
-
"Lung":
|
| 39 |
-
"Muscle":
|
| 40 |
-
"Ovary":
|
| 41 |
-
"Pancreas":
|
| 42 |
-
"Peritoneum":
|
| 43 |
-
"Placenta":
|
| 44 |
-
"Prostate":
|
| 45 |
-
"Rectum":
|
| 46 |
-
"Salivary gland":
|
| 47 |
-
"Skin":
|
| 48 |
-
"Spleen":
|
| 49 |
-
"Stomach":
|
| 50 |
-
"Testis":
|
| 51 |
-
"Thymus":
|
| 52 |
-
"Thyroid":
|
| 53 |
-
"Tongue":
|
| 54 |
-
"Tonsil":
|
| 55 |
-
"Umbilical cord":
|
| 56 |
-
"Uterus":
|
| 57 |
-
"unknown":
|
| 58 |
},
|
| 59 |
"mpp_counts": {
|
| 60 |
-
"present":
|
| 61 |
-
"missing":
|
| 62 |
},
|
| 63 |
"level_counts": {
|
| 64 |
-
"present":
|
| 65 |
-
"missing":
|
| 66 |
},
|
| 67 |
"magnification_counts": {
|
| 68 |
-
"20.0":
|
| 69 |
-
"40.0":
|
| 70 |
-
"missing":
|
| 71 |
},
|
| 72 |
"mpp_approximation_counts": {
|
| 73 |
-
"approximate":
|
| 74 |
-
"missing":
|
| 75 |
-
"source_metadata":
|
| 76 |
},
|
| 77 |
"scale_level_counts": {
|
| 78 |
-
"high":
|
| 79 |
-
"missing":
|
| 80 |
},
|
| 81 |
"validation_scope": "all rows: paths, unique IDs, bounds, query coverage, source target linkage and metadata; pixels per pixel_check_mode",
|
| 82 |
"pixel_check_mode": "deterministic_sample",
|
|
|
|
| 2 |
"schema_version": "zoompath.auxiliary_training.export.validation.v1",
|
| 3 |
"status": "pass",
|
| 4 |
"manifest": "manifest.jsonl",
|
| 5 |
+
"manifest_sha256": "eeda70abfec170771f9084d2330011dcfa8443c2132ea8a2e8a576296e78fa85",
|
| 6 |
+
"row_count": 235346,
|
| 7 |
"dataset_counts": {
|
| 8 |
+
"bcss": 2836,
|
| 9 |
+
"lizard": 31446,
|
| 10 |
"midogpp": 8008,
|
| 11 |
+
"nucls": 32538,
|
| 12 |
+
"nuinsseg": 20521,
|
| 13 |
+
"pannuke": 111605,
|
| 14 |
+
"refpath_train": 28392
|
| 15 |
},
|
| 16 |
+
"annotation_file_count": 38836,
|
| 17 |
+
"unique_parent_count": 38836,
|
| 18 |
+
"multi_valid_target_rows": 209945,
|
| 19 |
"organ_counts": {
|
| 20 |
+
"Adipose tissue": 399,
|
| 21 |
+
"Adrenal gland": 4506,
|
| 22 |
+
"Bile duct": 5516,
|
| 23 |
+
"Bladder": 1929,
|
| 24 |
+
"Brain": 78,
|
| 25 |
+
"Breast": 68310,
|
| 26 |
+
"Cerebellum": 338,
|
| 27 |
+
"Cervix": 4643,
|
| 28 |
+
"Colon": 18689,
|
| 29 |
+
"Colon and rectum": 31446,
|
| 30 |
+
"Epiglottis": 97,
|
| 31 |
+
"Esophagus": 6817,
|
| 32 |
+
"Femur": 272,
|
| 33 |
+
"Head and neck": 4547,
|
| 34 |
+
"Heart": 516,
|
| 35 |
+
"Jejunum": 513,
|
| 36 |
+
"Kidney": 3775,
|
| 37 |
+
"Liver": 3881,
|
| 38 |
+
"Lung": 3664,
|
| 39 |
+
"Muscle": 175,
|
| 40 |
+
"Ovary": 2461,
|
| 41 |
+
"Pancreas": 4317,
|
| 42 |
+
"Peritoneum": 291,
|
| 43 |
+
"Placenta": 1291,
|
| 44 |
+
"Prostate": 2639,
|
| 45 |
+
"Rectum": 251,
|
| 46 |
+
"Salivary gland": 2192,
|
| 47 |
+
"Skin": 6227,
|
| 48 |
+
"Spleen": 3828,
|
| 49 |
+
"Stomach": 3932,
|
| 50 |
+
"Testis": 3280,
|
| 51 |
+
"Thymus": 947,
|
| 52 |
+
"Thyroid": 3189,
|
| 53 |
+
"Tongue": 927,
|
| 54 |
+
"Tonsil": 710,
|
| 55 |
+
"Umbilical cord": 41,
|
| 56 |
+
"Uterus": 4497,
|
| 57 |
+
"unknown": 34215
|
| 58 |
},
|
| 59 |
"mpp_counts": {
|
| 60 |
+
"present": 39236,
|
| 61 |
+
"missing": 196110
|
| 62 |
},
|
| 63 |
"level_counts": {
|
| 64 |
+
"present": 39236,
|
| 65 |
+
"missing": 196110
|
| 66 |
},
|
| 67 |
"magnification_counts": {
|
| 68 |
+
"20.0": 18640,
|
| 69 |
+
"40.0": 20596,
|
| 70 |
+
"missing": 196110
|
| 71 |
},
|
| 72 |
"mpp_approximation_counts": {
|
| 73 |
+
"approximate": 28392,
|
| 74 |
+
"missing": 196110,
|
| 75 |
+
"source_metadata": 10844
|
| 76 |
},
|
| 77 |
"scale_level_counts": {
|
| 78 |
+
"high": 39236,
|
| 79 |
+
"missing": 196110
|
| 80 |
},
|
| 81 |
"validation_scope": "all rows: paths, unique IDs, bounds, query coverage, source target linkage and metadata; pixels per pixel_check_mode",
|
| 82 |
"pixel_check_mode": "deterministic_sample",
|
release_manifest.json
CHANGED
|
@@ -2,279 +2,189 @@
|
|
| 2 |
"schema_version": "zoompath.auxiliary_training.archive.v1",
|
| 3 |
"repo_id": "xuxuxuxuxu/PathGrounding",
|
| 4 |
"status": "frozen_release",
|
| 5 |
-
"created_at": "2026-10-
|
| 6 |
-
"source_manifest_sha256": "
|
| 7 |
-
"package_file_count":
|
| 8 |
-
"package_bytes":
|
| 9 |
-
"pair_count":
|
| 10 |
-
"unique_parent_count":
|
| 11 |
"dataset_counts": {
|
| 12 |
-
"bcss":
|
| 13 |
-
"lizard":
|
| 14 |
"midogpp": 8008,
|
| 15 |
-
"nucls":
|
| 16 |
-
"nuinsseg":
|
| 17 |
-
"pannuke":
|
| 18 |
-
"refpath_train":
|
| 19 |
},
|
| 20 |
"bulk_counts": {
|
| 21 |
-
"images/parent":
|
| 22 |
-
"images/child":
|
| 23 |
-
"annotations":
|
| 24 |
},
|
| 25 |
-
"total_upload_bytes":
|
| 26 |
"files": [
|
| 27 |
{
|
| 28 |
"path": "archives/images-parent-00000.tar",
|
| 29 |
"kind": "archive",
|
| 30 |
-
"bytes":
|
| 31 |
-
"sha256": "
|
| 32 |
-
"member_count":
|
| 33 |
-
"unpacked_bytes":
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"path": "archives/images-parent-00001.tar",
|
| 37 |
"kind": "archive",
|
| 38 |
-
"bytes":
|
| 39 |
-
"sha256": "
|
| 40 |
-
"member_count":
|
| 41 |
-
"unpacked_bytes":
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"path": "archives/images-parent-00002.tar",
|
| 45 |
"kind": "archive",
|
| 46 |
-
"bytes":
|
| 47 |
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"sha256": "
|
| 48 |
-
"member_count":
|
| 49 |
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"unpacked_bytes":
|
| 50 |
},
|
| 51 |
{
|
| 52 |
"path": "archives/images-parent-00003.tar",
|
| 53 |
"kind": "archive",
|
| 54 |
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"bytes":
|
| 55 |
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"sha256": "
|
| 56 |
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"member_count":
|
| 57 |
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"unpacked_bytes":
|
| 58 |
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|
| 59 |
{
|
| 60 |
"path": "archives/images-parent-00004.tar",
|
| 61 |
"kind": "archive",
|
| 62 |
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"bytes":
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|
| 64 |
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|
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|
| 68 |
"path": "archives/images-parent-00005.tar",
|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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"member_count":
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|
| 75 |
{
|
| 76 |
"path": "archives/images-parent-00006.tar",
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| 77 |
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|
| 78 |
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"bytes":
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| 79 |
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|
| 80 |
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| 84 |
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