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完成归档核验并补齐逐文件哈希和分片索引
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---
pretty_name: Diogenes Robotics Warehouse Multicamera Archive v01
license: other
license_name: original-capture-archive-terms
license_link: https://huggingface.co/datasets/DiogenesLab/Diogenes_Robotics_Warehouse_Multicamera_Archive_v01/blob/main/NOTICE.md
tags:
- video
- camera-pose
- archival
- non-trainable
size_categories:
- n<1K
---
# Diogenes Robotics Warehouse Multicamera Archive v01
The Diogenes project has closed. This public archive preserves original capture artifacts and historical limitations for inspection and reproducibility. **This archive manifest is fully transferred and verified.** `ARCHIVE_INDEX.json` lists the exact tar files and fixed verification revisions. This update's verified manifest covers **120 objects / 3,610,343,282 public bytes**, with **0 explicitly marked path-redacted copies**. All listed public members have passed source/archive SHA-256, pinned Hugging Face LFS size/hash, and anonymous download checks.
## Scope and historical status
Ten 60-second four-camera Robotics-Warehouse groups (40 video streams) from 2026-08-07, with original camera geometry, timestamps and capture-surface metadata. The upstream scene is Apache-2.0; attribution and the licence copy are included.
These groups were stored under `staging-qc-hold-20260820`. All 40 audio tracks were historically measured as silent (about −91 dB), and 123/240 `pink_honesty` motion segments failed the newer check. The archived action-camera records came from the historical v3 bundle, later voided because provenance licence labels were wrong. A subsequent v4 comparison found the same poses/intrinsics/video bytes but different wall-clock `time` fields. This archive keeps the original v3 records and documents that lineage; it neither rewrites timestamps nor treats these samples as the corrected production batch.
## Reading the archive
Files are grouped into ordinary uncompressed TAR shards under `archive/`. Each tar preserves the listed relative paths and ends with its own `MANIFEST.jsonl` containing exact member sizes and SHA-256. The repository-level `MANIFEST.jsonl` now contains the verified SHA-256 of every public member. `ARCHIVE_INDEX.json` records each tar hash, size, member count and fixed verification revision.
Use `tarfile.open(path, "r:")` and `extractfile(member)` to read a member without extracting paths. Four-camera packages contain `video_1..4.mp4`, `action_camera_1..4.json` and `systeminfo_1..4.json`. The action-camera files are **JSON arrays**, not JSON Lines. Row `frame` and `time` identify the time sample; camera position, quaternion and intrinsics retain the original conventions. Technical systeminfo files describe the capture surface, not a physical-device identity.
Historical SHA/QC files are source records, not a new certification. A `.public-copy.*` suffix identifies a small derivative with operator-private paths removed; its source digest is retained separately, and original attestations must not be applied to its changed bytes. No numeric measurements, failed-QC results or eligibility markers were upgraded.
## Review and limits
All structured JSON/JSONL metadata in the source scope was read, including all rows, and checked for account/contact/credential identifiers and operator-private paths. Archive directories and representative media/container metadata were inspected. Visual review samples frames; it is not exhaustive frame annotation or semantic audio review. Original media bytes are preserved and checked against available source SHA lists during transfer. Pinned Hugging Face LFS size/hash verification precedes source deletion.
This is an owner-authorized public project-closeout archive for inspecting capture quality, schemas and reproducibility. It is **not certified or newly authorized model-training data**. Original `non_trainable`, `internal-validation`, licence and QC statements are preserved; absent fields remain absent. Public access does not grant third-party game or asset rights. See `NOTICE.md` and the accompanying upstream notices.
Source and schema code: [CuddlerAI/Diogenes-Archive](https://github.com/CuddlerAI/Diogenes-Archive).