Publish Core-4 data recipe and pinned source acquisition manifests

COPYING

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+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

LICENSE.md

@@ -0,0 +1,23 @@
+# Source-specific data terms
+
+AniTrack is a recipe and index of third-party datasets, not a relicensing of
+their images or labels. No combined image/annotation payload is distributed in
+this initial repository. A public Hub repository does not establish unrestricted
+commercial-use or redistribution rights for its referenced sources.
+
+| Source | Recorded terms |
+|---|---|
+| MARS | CC-BY-NC-4.0 |
+| Kumar OFA | Custom non-commercial license, included in its download manifest |
+| Lightning Pose CRIM13 | CC-BY-4.0 |
+| Mouse Lockbox | CC-BY-4.0 |
+| SLEAP mice_hc and mice_of | Preserve dataset credits; verify applicable redistribution terms before mirroring |
+| SuperAnimal TopViewMouse5K | Constituent-source terms must be checked; do not infer a blanket license from the model or software license |
+
+Consult the publisher record and the license bundled with each archive before
+use. Original attribution, notices, and license files must be retained. Any
+later mirrored subset needs its own explicit rights review and provenance.
+
+The acquisition script is licensed under AGPL-3.0-only, matching the companion
+[code repository](https://github.com/Lumin-Science/LuminBench-AniTrack).
+The code license grants no additional rights over referenced datasets.

README.md

@@ -0,0 +1,126 @@
+---
+pretty_name: AniTrack Core-4
+language:
+- en
+license: other
+license_name: source-specific-terms
+license_link: LICENSE.md
+task_categories:
+- keypoint-detection
+- object-detection
+tags:
+- mouse
+- rodent
+- animal-pose
+- core4
+- multi-animal
+- dataset-recipe
+annotations_creators:
+- expert-generated
+- crowdsourced
+---
+
+# AniTrack
+
+The public data companion to
+[LuminBench-AniTrack](https://github.com/Lumin-Science/LuminBench-AniTrack):
+mouse detection and **Core-4 pose** (`nose`, `left_ear`, `right_ear`, `tail_base`).
+
+## What is published here?
+
+This initial release contains **source-download manifests, semantic mappings,
+an acquisition script, and the training-data recipe**. It does **not** contain
+image shards, per-image labels, pretrained weights, or a ready-to-load
+`datasets.load_dataset()` training table. The counts below describe the original
+prepared training views, not payloads currently hosted on this Hub repository.
+
+Upstream images and labels must be acquired from their original publishers,
+under each source's terms. Public availability is not permission to relicense
+or mirror every source. See [LICENSE.md](LICENSE.md).
+
+## Frozen recipe: Bridge-33K Rotating v2
+
+| Partition / training view | Frames | Mouse annotations | Use |
+|---|---:|---:|---|
+| Pose training | 32,713 | 53,420 | Gradient updates |
+| Detector training | 32,754 | 53,502 | Gradient updates |
+| External validation | 2,662 | 4,801 | Checkpoint selection |
+| DLC historical test | 263 | 285 boxes / 283 Core-4-evaluable mice | Final comparison only |
+
+The union before cleaning contains 27,826 external training frames plus 5,114
+TopViewMouse training frames. The latter includes 1,012 Openfield training
+images; the disjoint 54 Openfield test images remain inside the frozen
+263-image historical test. Historical test images must not be used to train,
+generate training pseudo-labels, select checkpoints, or tune thresholds.
+
+### Source families
+
+Counts are upstream human-supervised frames across their available splits,
+before the AniTrack split and cleaning operations.
+
+| Source | Frames | Supervision / view | Terms and evidence |
+|---|---:|---|---|
+| [TopViewMouse5K v2](https://zenodo.org/records/13757509) | 5,114 train + 263 test | Human 27-point union; partial Core-4; mostly top view | Constituent-source terms; no single annotator-count claim |
+| [MARS](https://data.caltech.edu/records/j1ww1-mdc55) | 15,000 | Two mice, seven points, top view | CC-BY-NC-4.0; five-worker median labels |
+| [Kumar OFA](https://zenodo.org/records/6380163) | 8,910 | One mouse, twelve points, top view | Custom non-commercial terms; human labels, rater count unreported |
+| [Lightning Pose CRIM13](https://figshare.com/articles/dataset/Lightning_Pose_dataset_CRIM13/24993384) | 5,260 labeled centers | Two mice, seven points, top view | CC-BY-4.0; five-annotator median; 21,040 neighboring frames are not human-labeled centers |
+| [SLEAP mice_hc](https://docs.sleap.ai/v1.6.2/reference/datasets/#mice_hc) | 1,474 | Two mice, five points, overhead | Human labels; preserve dataset credits and verify redistribution terms |
+| [SLEAP mice_of](https://docs.sleap.ai/v1.6.2/reference/datasets/) | 1,000 | One to five mice, partial Core-4, **below-floor** | Human labels; not a strict-overhead source; verify redistribution terms |
+| [Mouse Lockbox](https://depositonce.tu-berlin.de/items/0d508909-ac27-46bd-9e52-17409196daeb) | 544 usable top-camera rows | One mouse, apparatus occlusions | CC-BY-4.0; human pose labels; only verified top camera used |
+
+### Sampling, cleaning, and limitations
+
+MARS, Kumar and CRIM13 are capped at **1,242 frames per epoch each**, using
+seeded rotating windows. Smaller sources retain their eligible frames. Pose
+training rotates the selected target in multi-mouse images; detector training
+retains all valid boxes in a selected frame. The original pose virtual epoch
+contains 11,070 crops, with 600 epochs and global batch 64 (103,800 updates).
+
+Human partial keypoints are masked, never filled with teacher predictions.
+Near-complete overlap is excluded from the isolated pose-crop view but retained
+for detector supervision when boxes remain useful. Empty records and exact
+duplicate annotations are removed. The original detector loader additionally
+skipped seven invalid normalized-label records; do not silently repair the
+published recipe and still call it an exact reproduction.
+
+Published video/group splits are preserved where available. MARS lacks released
+session identifiers; its deterministic frame-hash split is **not proof of
+session-independent generalization**. TopViewMouse does not expose reliable
+session IDs either. SLEAP mice_of is a below-floor domain and should be reported
+separately in source-level evaluations.
+
+## Acquire the original archives
+
+Clone this small metadata repository **on the machine where you intend to store
+the data**:
+
+```bash
+git clone https://huggingface.co/datasets/LuminScience/AniTrack
+cd AniTrack
+python3 download_sources.py --list
+# Only after reviewing the upstream terms; downloads are explicit:
+python3 download_sources.py --download --accept-source-terms \
+  --output-root /your/data/raw
+```
+
+The script uses only Python's standard library, validates pinned publisher MD5
+checksums (and sizes where available), and does not extract or alter the source
+archives. Existing valid files are reused; invalid existing files cause a hard
+failure. Use `--sources mars_topview_pose` to acquire a selected source. No
+training split is created by this acquisition step.
+
+The `manifests/` files preserve native layouts and Core-4 mappings. The external
+preparation configuration records the split and missing-label policies;
+`recipe.json` records the combined training contract. Conversion, split audits,
+and pose/detector training live in the companion code repository. Pin revisions
+of both repositories for any experiment. The historical external staging
+manifest filename containing `gated` refers to two now-directly-downloadable
+sources, not a Hub access gate.
+
+## Scope
+
+This is a frame-level detection/pose resource, not newly annotated ground truth
+for persistent tracking identities. No new animal experiments were conducted
+to produce this collection. Cite the original datasets and respect their animal
+research, attribution, and usage requirements. Candidate datasets awaiting
+access or semantic review are not counted in this recipe.

download_sources.py

@@ -0,0 +1,124 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: AGPL-3.0-only
+"""Acquire source-native AniTrack archives. No downloads without --download."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+from pathlib import Path
+import re
+import shutil
+import urllib.request
+
+
+MANIFEST_NAMES = (
+    "topview_core4_human_sources.json",
+    "core4_gated_public_sources.json",
+    "topviewmouse_source.json",
+)
+
+
+def load_sources(root: Path) -> list[dict]:
+    sources = []
+    seen = set()
+    for name in MANIFEST_NAMES:
+        manifest = json.loads((root / "manifests" / name).read_text())
+        for source in manifest["sources"]:
+            source_id = source["id"]
+            if not re.fullmatch(r"[a-z0-9_]+", source_id) or source_id in seen:
+                raise ValueError(f"Unsafe or duplicate source ID: {source_id}")
+            seen.add(source_id)
+            names = set()
+            for spec in source["files"]:
+                filename = spec["name"]
+                if (not filename or filename in {".", ".."}
+                        or "/" in filename or "\\" in filename or filename in names):
+                    raise ValueError(f"Unsafe or duplicate filename: {filename}")
+                names.add(filename)
+                if not spec["url"].startswith("https://"):
+                    raise ValueError("Only HTTPS source URLs are accepted")
+                if not re.fullmatch(r"[0-9a-f]{32}", spec["md5"]):
+                    raise ValueError("Every source requires a pinned publisher MD5")
+            sources.append(source)
+    return sources
+
+
+def verify(path: Path, spec: dict) -> dict:
+    size = path.stat().st_size
+    if "size" in spec and size != spec["size"]:
+        raise ValueError(f"Size mismatch for {path.name}: {size} != {spec['size']}")
+    md5 = hashlib.md5(usedforsecurity=False)
+    sha256 = hashlib.sha256()
+    with path.open("rb") as handle:
+        while chunk := handle.read(8 * 1024 * 1024):
+            md5.update(chunk)
+            sha256.update(chunk)
+    if md5.hexdigest() != spec["md5"]:
+        raise ValueError(f"Publisher MD5 mismatch for {path.name}; file not accepted")
+    return {"name": spec["name"], "bytes": size, "md5": md5.hexdigest(),
+            "sha256": sha256.hexdigest(), "source_url": spec["url"]}
+
+
+def acquire(destination: Path, spec: dict) -> dict:
+    if destination.is_symlink():
+        raise ValueError(f"Refusing symlink destination: {destination}")
+    if destination.exists():
+        return verify(destination, spec)
+    # Never silently overwrite an interrupted download or unverified archive.
+    partial = destination.with_name(destination.name + ".partial")
+    with partial.open("xb") as target:
+        request = urllib.request.Request(spec["url"], headers={"User-Agent": "AniTrack-source-setup/1"})
+        with urllib.request.urlopen(request, timeout=120) as response:
+            if not response.url.startswith("https://"):
+                raise ValueError("Refusing a non-HTTPS source redirect")
+            shutil.copyfileobj(response, target, length=8 * 1024 * 1024)
+    receipt = verify(partial, spec)
+    partial.rename(destination)
+    return receipt
+
+
+def main(argv: list[str] | None = None) -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    action = parser.add_mutually_exclusive_group()
+    action.add_argument("--list", action="store_true", help="List sources; never download")
+    action.add_argument("--download", action="store_true")
+    parser.add_argument("--accept-source-terms", action="store_true",
+                        help="Confirm you reviewed each publisher's applicable terms")
+    parser.add_argument("--sources", nargs="+", help="Selected source IDs; default all")
+    parser.add_argument("--output-root", type=Path)
+    args = parser.parse_args(argv)
+    sources = load_sources(Path(__file__).resolve().parent)
+    if args.sources:
+        unknown = set(args.sources) - {source["id"] for source in sources}
+        if unknown:
+            parser.error(f"Unknown sources: {sorted(unknown)}")
+        sources = [source for source in sources if source["id"] in args.sources]
+    for source in sources:
+        terms = source.get("license", source.get("license_note", "See publisher"))
+        size = sum(spec.get("size", 0) for spec in source["files"])
+        print(f"{source['id']}: {len(source['files'])} files; known bytes={size}; {terms}")
+    if not args.download:
+        print("Plan only. No files downloaded. Review LICENSE.md before --download.")
+        return
+    if not args.accept_source_terms or args.output_root is None:
+        parser.error("Downloads require --accept-source-terms and --output-root")
+    root = args.output_root.resolve()
+    root.mkdir(parents=True, exist_ok=True)
+    for source in sources:
+        destination = root / source["id"] / "archives"
+        if destination.is_symlink() or destination.parent.is_symlink():
+            raise ValueError("Refusing a symlink archive directory")
+        destination.mkdir(parents=True, exist_ok=True)
+        receipts = []
+        for spec in source["files"]:
+            print(f"Acquire and verify: {source['id']}/{spec['name']}", flush=True)
+            receipts.append(acquire(destination / spec["name"], spec))
+        (destination.parent / "acquisition.json").write_text(
+            json.dumps({"source": source["id"], "files": receipts}, indent=2) + "\n")
+    print("Verified source archives acquired. No extraction or split modification performed.")
+
+
+if __name__ == "__main__":
+    main()

manifests/core4_gated_public_sources.json

@@ -0,0 +1,46 @@
+{
+  "schema_version": 1,
+  "sources": [
+    {
+      "id": "sleap_mice_of",
+      "display_name": "SLEAP mice_of",
+      "license_note": "Public SLEAP benchmark package; research use in this project",
+      "files": [
+        {
+          "name": "train.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/wang_4mice_john/labels.full/random_split1/train.pkg.slp",
+          "size": 171619360,
+          "md5": "bcebb5dd4b33b38dd5ff2b9f965dabe7",
+          "unpack": "none"
+        },
+        {
+          "name": "val.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/wang_4mice_john/labels.full/random_split1/val.pkg.slp",
+          "size": 21597150,
+          "md5": "7f519b486c183d31790703e8ff80065d",
+          "unpack": "none"
+        },
+        {
+          "name": "test.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/wang_4mice_john/labels.full/random_split1/test.pkg.slp",
+          "size": 21582354,
+          "md5": "dffaa4620b7a65fd5822be4853a51187",
+          "unpack": "none"
+        }
+      ]
+    },
+    {
+      "id": "mouse_lockbox_pose",
+      "display_name": "Mouse Lockbox DLC training labels",
+      "license_note": "CC BY 4.0",
+      "files": [
+        {
+          "name": "DLC-training-labels.tar",
+          "url": "https://api-depositonce.tu-berlin.de/server/api/core/bitstreams/408325d0-4a03-4db9-96f8-7ee5f873640e/content",
+          "md5": "b90a07e1273311ec3c358e08a27bb092",
+          "unpack": "tar"
+        }
+      ]
+    }
+  ]
+}

manifests/luminmouse_core4_32k_v1.json

@@ -0,0 +1,101 @@
+{
+  "schema_version": 1,
+  "dataset_id": "luminmouse-core4-32k-v1",
+  "display_name": "LuminMouse-Core4-32K v1",
+  "short_name": "LM-C4-32K-v1",
+  "status": "source_preparation_recipe",
+  "redistribution": "Do not redistribute the combined image payload. Preserve and obey each source license.",
+  "objective": "Human-supervised mouse pose foundation pretraining with a unified four-keypoint vocabulary and explicit missing-keypoint masks.",
+  "core4_keypoints": [
+    "nose",
+    "left_ear",
+    "right_ear",
+    "tail_base"
+  ],
+  "nominal_totals": {
+    "frames": 32188,
+    "instances": 55872,
+    "valid_core4_coordinates": 219042,
+    "fully_complete_instances": 52456
+  },
+  "split_policy": {
+    "seed": 42,
+    "mars_topview_pose": "Deterministic 90/5/5 frame hash split; the release exposes no video/session grouping, so this split is diagnostic rather than leakage-proof.",
+    "kumar_ofa_pose": "Published training groups remain train; published validation groups are deterministically divided between validation and test without splitting a group.",
+    "lightning_pose_crim13": "Published InD videos remain train; published OOD videos are deterministically divided between validation and test without splitting a video.",
+    "sleap_mice_hc": "Preserve official train/validation/test package splits.",
+    "sleap_mice_of": "Preserve official train/validation/test package splits.",
+    "mouse_lockbox_top": "Use verified top camera 23499137 only; deterministically assign 12/2/2 complete video groups to train/validation/test."
+  },
+  "image_materialization": {
+    "format": "JPEG",
+    "quality": 95,
+    "subsampling": 0,
+    "reason": "Create a portable training image view while preserving original source archives."
+  },
+  "bbox_policy": {
+    "method": "tight box over all finite released mouse landmarks",
+    "scale": 1.25,
+    "fallback": "full frame when fewer than two finite native mouse landmarks exist"
+  },
+  "openfield_leakage_gate": {
+    "held_out_dataset": "DLC-Openfield openfield-Pranav-2018-08-20",
+    "expected_images": 1066,
+    "abort_on_exact_decoded_pixel_match": true,
+    "dhash_hamming_diagnostic_threshold": 4
+  },
+  "sources": [
+    {
+      "id": "mars_topview_pose",
+      "license": "CC-BY-NC-4.0",
+      "view": "top",
+      "frames": 15000,
+      "instances": 30000,
+      "valid_core4_coordinates": 120000
+    },
+    {
+      "id": "kumar_ofa_pose",
+      "license": "custom non-commercial",
+      "view": "top",
+      "frames": 8910,
+      "instances": 8910,
+      "valid_core4_coordinates": 35640
+    },
+    {
+      "id": "lightning_pose_crim13",
+      "license": "CC-BY-4.0",
+      "view": "top",
+      "frames": 5260,
+      "instances": 10520,
+      "valid_core4_coordinates": 42080
+    },
+    {
+      "id": "sleap_mice_hc",
+      "license": "dataset credit/citation terms; verify before redistribution",
+      "view": "top",
+      "frames": 1474,
+      "instances": 2948,
+      "valid_core4_coordinates": 11264,
+      "fully_complete_instances": 2491
+    },
+    {
+      "id": "sleap_mice_of",
+      "license": "public SLEAP benchmark; verify redistribution terms",
+      "view": "below_floor",
+      "frames": 1000,
+      "instances": 2950,
+      "valid_core4_coordinates": 8169
+    },
+    {
+      "id": "mouse_lockbox_top",
+      "license": "CC-BY-4.0",
+      "view": "top",
+      "camera_id": "23499137",
+      "annotated_rows": 562,
+      "frames": 544,
+      "instances": 544,
+      "excluded_zero_core4_rows": 18,
+      "valid_core4_coordinates": 1889
+    }
+  ]
+}

manifests/topview_core4_human_sources.json

@@ -0,0 +1,197 @@
+{
+  "schema_version": 1,
+  "description": "Pinned public, human-labeled, strict top-view rodent sources with exact Core-4 semantics. Openfield and the existing TopViewMouse release are intentionally excluded.",
+  "core4_keypoints": [
+    "nose",
+    "left_ear",
+    "right_ear",
+    "tail_base"
+  ],
+  "nominal_totals": {
+    "frames": 30644,
+    "physical_staged_frames": 51684,
+    "instances": 52378,
+    "core4_coordinates": 209512,
+    "valid_core4_coordinates": 208984,
+    "fully_complete_instances": 51921
+  },
+  "sources": [
+    {
+      "id": "mars_topview_pose",
+      "display_name": "MARS top-view pose annotations",
+      "record_url": "https://data.caltech.edu/records/j1ww1-mdc55",
+      "license": "CC-BY-NC-4.0",
+      "nominal_frames": 15000,
+      "nominal_instances": 30000,
+      "native_keypoints": [
+        "nose_tip",
+        "left_ear",
+        "right_ear",
+        "neck",
+        "left_side_body",
+        "right_side_body",
+        "tail_base"
+      ],
+      "core4_mapping": {
+        "nose_tip": "nose",
+        "left_ear": "left_ear",
+        "right_ear": "right_ear",
+        "tail_base": "tail_base"
+      },
+      "files": [
+        {
+          "name": "raw_images_top.zip",
+          "url": "https://data.caltech.edu/api/records/j1ww1-mdc55/files/raw_images_top.zip/content",
+          "size": 1458709091,
+          "md5": "77aa6739caf01c592674dff1e09e8968",
+          "unpack": "zip"
+        },
+        {
+          "name": "MARS_keypoints_top.json",
+          "url": "https://data.caltech.edu/api/records/j1ww1-mdc55/files/MARS_keypoints_top.json/content",
+          "size": 21620253,
+          "md5": "c42cc0a9f342e07ac9ed7e269cb590dd",
+          "unpack": "none"
+        }
+      ]
+    },
+    {
+      "id": "kumar_ofa_pose",
+      "display_name": "Kumar Lab open-field analysis pose training set",
+      "record_url": "https://zenodo.org/records/6380163",
+      "license": "custom non-commercial (see bundled LICENSE)",
+      "nominal_frames": 8910,
+      "nominal_instances": 8910,
+      "published_container_splits": {
+        "training_frames": 7910,
+        "validation_frames": 1000,
+        "note": "The frequently reported separate 1,000-image test split is not present in merged_pose_annos_2019-06-26.h5."
+      },
+      "native_keypoints": [
+        "nose",
+        "left_ear",
+        "right_ear",
+        "base_neck",
+        "left_front_paw",
+        "right_front_paw",
+        "center_spine",
+        "left_rear_paw",
+        "right_rear_paw",
+        "base_tail",
+        "mid_tail",
+        "tip_tail"
+      ],
+      "core4_mapping": {
+        "nose": "nose",
+        "left_ear": "left_ear",
+        "right_ear": "right_ear",
+        "base_tail": "tail_base"
+      },
+      "files": [
+        {
+          "name": "merged_pose_annos_2019-06-26.h5.gz",
+          "url": "https://zenodo.org/api/records/6380163/files/merged_pose_annos_2019-06-26.h5.gz/content",
+          "size": 427596974,
+          "md5": "544e65de7a4dcedf61525985248e048b",
+          "unpack": "gzip"
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+        {
+          "name": "LICENSE",
+          "url": "https://zenodo.org/api/records/6380163/files/LICENSE/content",
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+          "md5": "b052e32bcc617ace5f4196aca4334cfa",
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+        {
+          "name": "pose-est-conf.yaml",
+          "url": "https://zenodo.org/api/records/6380163/files/pose-est-conf.yaml/content",
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+      ]
+    },
+    {
+      "id": "lightning_pose_crim13",
+      "display_name": "Lightning Pose CRIM13",
+      "record_url": "https://figshare.com/articles/dataset/Lightning_Pose_dataset_CRIM13/24993384",
+      "license": "CC-BY-4.0",
+      "nominal_frames": 5260,
+      "physical_image_frames": 26300,
+      "temporal_context": {
+        "frames_per_labeled_center": 5,
+        "unlabeled_neighbor_frames": 21040,
+        "note": "Each of the 5,260 label-table rows has a five-frame image window; only the center frame carries human keypoints."
+      },
+      "nominal_instances": 10520,
+      "native_keypoints": [
+        "nose",
+        "left_ear",
+        "right_ear",
+        "top_of_neck",
+        "left_rear_knee",
+        "right_rear_knee",
+        "tail_base"
+      ],
+      "core4_mapping": {
+        "nose": "nose",
+        "left_ear": "left_ear",
+        "right_ear": "right_ear",
+        "tail_base": "tail_base"
+      },
+      "files": [
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+          "url": "https://ndownloader.figshare.com/files/44031672",
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+          "unpack": "zip"
+        }
+      ]
+    },
+    {
+      "id": "sleap_mice_hc",
+      "display_name": "SLEAP mice_hc",
+      "record_url": "https://docs.sleap.ai/v1.6.2/reference/datasets/#mice_hc",
+      "license": "dataset credit/citation terms; verify before redistribution",
+      "nominal_frames": 1474,
+      "nominal_instances": 2948,
+      "native_keypoints": [
+        "snout",
+        "earL",
+        "earR",
+        "tail_base",
+        "tail_tip"
+      ],
+      "core4_mapping": {
+        "snout": "nose",
+        "earL": "left_ear",
+        "earR": "right_ear",
+        "tail_base": "tail_base"
+      },
+      "files": [
+        {
+          "name": "train.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/eleni_mice/random_split1/train.pkg.slp",
+          "size": 696486384,
+          "md5": "92b7a73b704bb6140c4f08dc8889c75f",
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+        {
+          "name": "val.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/eleni_mice/random_split1/val.pkg.slp",
+          "size": 87734418,
+          "md5": "eade94312d4d23e685ab2467c1115bdd",
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+        },
+        {
+          "name": "test.pkg.slp",
+          "url": "https://storage.googleapis.com/sleap-data/datasets/eleni_mice/random_split1/test.pkg.slp",
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+          "md5": "27392fddd4fb3e902c8032230d48e6f4",
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+  ]
+}

manifests/topviewmouse_source.json

@@ -0,0 +1,16 @@
+{
+  "schema_version": 1,
+  "sources": [{
+    "id": "superanimal_topviewmouse5k",
+    "display_name": "SuperAnimal-TopViewMouse-5K v2",
+    "record_url": "https://zenodo.org/records/13757509",
+    "license_note": "Constituent-source terms; verify before redistribution",
+    "files": [{
+      "name": "TopViewMouse5K_20240913.tar.gz",
+      "url": "https://zenodo.org/api/records/13757509/files/TopViewMouse5K_20240913.tar.gz/content",
+      "size": 1433344899,
+      "md5": "ed2f8304d0a5d70a7119ae9eeb3e4ed8",
+      "unpack": "tar.gz"
+    }]
+  }]
+}

recipe.json

@@ -0,0 +1,41 @@
+{
+  "schema_version": 1,
+  "dataset_id": "luminmouse-core4-bridge33k-rotating-v2",
+  "publication_kind": "source_manifests_and_recipe_only",
+  "image_payload_hosted": false,
+  "per_image_annotations_hosted": false,
+  "seed": 42,
+  "keypoints": ["nose", "left_ear", "right_ear", "tail_base"],
+  "bbox_format": "COCO xywh in original image pixels",
+  "missing_keypoints": "masked; never teacher-filled",
+  "human_pose_supervision_only": true,
+  "raw_training_input": {
+    "external": {"images": 27826, "instances": 48073},
+    "topviewmouse": {"images": 5114, "instances": 5452}
+  },
+  "prepared_views": {
+    "pose_train": {"images": 32713, "instances": 53420},
+    "detector_train": {"images": 32754, "instances": 53502},
+    "external_validation": {"images": 2662, "instances": 4801},
+    "historical_test": {"images": 263, "bbox_instances": 285, "core4_instances": 283}
+  },
+  "openfield": {"train_images": 1012, "historical_test_images": 54},
+  "sampling": {
+    "strategy": "seeded cyclic windows; one mouse per pose frame rotates by epoch",
+    "per_source_frame_caps": {"mars_topview_pose": 1242, "kumar_ofa_pose": 1242, "lightning_pose_crim13": 1242},
+    "uncapped_sources": "all eligible frames per epoch",
+    "pose_crops_per_epoch": 11070,
+    "detector_frames_per_epoch": 11070,
+    "detector_frames_with_ddp_padding": 11072
+  },
+  "training_exposure": {
+    "pose": {"epochs": 600, "global_batch": 64, "world_size": 8, "local_batch": 8, "updates": 103800},
+    "detector": {"formal_time_hours": 12.5, "completed_epochs": 714, "global_batch": 64, "image_size": 640}
+  },
+  "historical_loader_caveat": "Seven invalid normalized detector-label records were skipped in the original run; prepared-manifest totals are not loaded-record totals.",
+  "split_limitations": [
+    "MARS has no released session IDs; deterministic frame-hash splitting is diagnostic, not session-disjoint evidence.",
+    "TopViewMouse has source-family labels but no reliable released session IDs.",
+    "Historical test must not enter gradients, training pseudo-labels, checkpoint selection, or threshold tuning."
+  ]
+}