pretty_name: Diogenes Euro Truck Simulator 2 Depth and Pose Archive v01
license: other
license_name: original-capture-archive-terms
license_link: >-
https://huggingface.co/datasets/DiogenesLab/Diogenes_ETS2_Depth_Archive_v01/blob/main/NOTICE.md
tags:
- video
- camera-pose
- archival
- non-trainable
size_categories:
- n<1K
Diogenes Euro Truck Simulator 2 Depth and Pose 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 21 objects / 1,576,474,551 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 geometry
Two Euro Truck Simulator 2 Europe packages from 2026-08-08: one 120-second and one 180-second recording. They retain original H.264/AAC video, action-camera arrays at 15/30 fps, capture-surface JSON, depth ZIP and QC summaries. Depth ZIPs contain 1,800 and 2,700 EXR files respectively. viz/ contains derived point clouds, an offline HTML viewer and an overview MP4; no TSDF mesh was produced for the kilometre-scale driving trajectory.
The source depth's historical geometry issue remains. The viewport MinDepth correction candidate was 0.0098 for visualization, with practical confidence limited to roughly 50 m; cab/interior depths do not represent useful scene geometry. That candidate was not used to rematerialize the original delivery files. Quaternion handedness is package-dependent: older ETS2 packages predating the fix may use camera-to-world despite the nominal contract. Do not apply the Fallout convention blindly; use package evidence and the archived visualization implementation. No calibration or failed quality result has been silently repaired.
The derived viewer includes Three.js r147 under MIT. Underlying game content remains SCS Software's; public access is not a model-training or asset-redistribution licence.
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.