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"description": "CM-EVS is a curated panoramic RGB-D dataset built under a single principle: maximize the geometric coverage of a 3D scene with the fewest equirectangular (ERP) frames possible. The headline release contains 11,583 ERP RGB-depth-pose frames over 326 Blender indoor scenes (CC-BY 4.0), each paired with the per-step provenance log of the depth-conflict-aware curator that selected it. The full v1.0 release additionally provides 786,344 frames re-encoded from TartanGround (783,944 frames over 63 environments) and OB3D (2,400 frames over 12 scenes) outdoor sources into the same ERP and world-to-camera pose schema, plus license-aware adapter packages for HM3D (14,475 frames over 401 rooms after local regeneration) and ScanNet++ (8,267 frames over 500 scans after local regeneration) that produce matched frames locally without redistributing licensed assets.",
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"rai:dataCollection": "Indoor data is produced by the CM-EVS pipeline (asset loading, coordinate normalization, candidate generation, 26-direction geometric-validity filtering, conflict-aware greedy selection, 2048x1024 high-resolution Cycles ERP rendering, export under the unified schema). Outdoor data is sourced from TartanGround and OB3D and re-encoded into the unified schema; the curator is not run on outdoor sources in v1.0. HM3D and ScanNet++ frames are not redistributed; the release ships adapter regeneration scripts.",
"rai:dataPreprocessingProtocol": "Coordinate normalization to a right-handed +X-right, +Y-up, +Z-forward world frame with the OpenCV-style camera frame; pose stored as a scalar-first world-to-camera quaternion plus a position relative to the scene's first selected frame. AABB computation; source-specific candidate generation; 26-direction geometric-validity filter. Cubemap-to-ERP re-encoding at native resolution for outdoor sources; optional exposure adjustment for Blender; output schema conversion. Candidate probes, intermediate caches, pre-render-all oracle frames, and locally regenerated HM3D / ScanNet++ outputs are excluded from the public frame count F_pub.",
"rai:dataAnnotationProtocol": "No human annotation is performed. All labels (split, source, scene id, viewpoint score, coverage gain, conflict ratio) are produced automatically by the curator pipeline and recorded in metadata/per_step_log.jsonl and metadata/selected_viewpoints.json.",
"rai:dataReleaseMaintenancePlan": "Versioned releases on a 6-month cadence. Errata tracked via the project repository; SHA256 manifests refreshed at every release; HM3D and ScanNet++ regeneration scripts updated when upstream APIs, file layouts, or access terms change.",
"rai:dataUseCases": [
"Panoramic depth estimation",
"ERP novel-view synthesis",
"Panoramic Gaussian-splatting reconstruction",
"Panoramic world-model pretraining",
"Fixed-budget viewpoint policy evaluation"
],
"rai:dataLimitations": [
"Real-scan derived frames (HM3D, ScanNet++) are not redistributed; users must accept upstream license terms and regenerate locally.",
"Outdoor frames are re-encoded source trajectories rather than curator-selected subsets and therefore do not carry per-step provenance.",
"Synthetic-real transfer must be validated separately by source; we do not claim Blender-only gains imply real-scan gains.",
"Geometry-validity filters may fail in atria, semi-outdoor spaces, narrow transitions, noisy scans, or pure point-cloud scenes."
],
"rai:personalSensitiveInformation": "No new personal data is collected. Real-scan sources (HM3D, ScanNet++) may depict private indoor layouts and are not redistributed as derived frames. Even regeneration scripts and viewpoint metadata can reveal where observations would be sampled within a private space; users must comply with upstream source access terms.",
"rai:dataBiases": [
"Source assets inherit geographic, architectural, and scanning biases.",
"HM3D and ScanNet++ are skewed toward scanned residential indoor spaces.",
"Blender assets are skewed toward staged residential, office, and architectural scenes.",
"Outdoor sources (TartanGround, OB3D) are skewed toward simulator-generated terrain along circular trajectories.",
"Synthetic Blender materials may not match real-scan sensor noise."
],
"rai:dataSocialImpact": "CM-EVS lowers the engineering cost of producing auditable panoramic RGB-D resources from existing 3D scenes. Positive uses include panoramic perception, data-centric evaluation, view-planning research, and 3D-consistent world-model pretraining. Potential harms include over-trusting synthetic data, obscuring upstream dataset bias, and using real indoor scans in privacy-sensitive settings. The release therefore separates public synthetic frames from licensed real-scan regeneration and documents intended uses, non-uses, and source licenses."
} |