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@@ -59,6 +59,52 @@ This dataset is not intended to replace real-world validation. Models trained wi
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  It should not be used for biometric identification, real-person recognition, surveillance targeting, or inferring sensitive attributes of real individuals.
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  ## Dataset Characterization <br>
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  ** Data Collection Method<br>
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  Feature Count (per record): RGB and depth videos, depth companion metadata (depth range, resolution, frame rate, and dtype), per-frame camera intrinsics and extrinsics, world configuration metadata, and asset configuration metadata. <br>
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- Total Data Storage: Approximately 80TB (exact size TBD upon final HuggingFace upload). <br>
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  ## Reference(s): <br>
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  It should not be used for biometric identification, real-person recognition, surveillance targeting, or inferring sensitive attributes of real individuals.
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+ ## Dataset Statistics <br>
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+ This dataset contains 236,937 samples, totaling 5,841 hours of video. Clips are rendered at 1080p and 30 fps, with durations between 60 and 120 seconds and an average duration of approximately 88.8 seconds.
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+ This corresponds to roughly 631 million RGB frames, with paired metric depth frames and camera parameters generated at the same temporal resolution.
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+ The dataset spans:
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+ - 4,050 unique digital human assets
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+ - 8,184 unique animations
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+ - 198 indoor environments
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+ - 200 outdoor city environments
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+ - 14 camera-motion scenarios
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+ Each scenario contains one 3D environment, one lighting condition, one camera trajectory, and one to nine digital humans, providing broad variation across human appearance, animation, scene context, and camera motion.
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+ ### Primary Camera Motion
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+ Distribution across 190,670 primary-motion occurrences.
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+ | Motion Type | # Scenes | Percentage | Description |
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+ |---|---:|---:|---|
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+ | static | 71,006 | 29.97% | Camera remains fixed in position and orientation throughout the sequence |
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+ | egocentric | 33,070 | 13.96% | Camera behaves as the viewpoint of a character or agent |
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+ | tracking | 36,978 | 15.61% | Camera follows a subject while maintaining framing |
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+ | flythrough | 36,852 | 15.55% | Camera travels forward through the scene along a path |
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+ | arc | 37,166 | 15.69% | Camera moves in a curved arc around a target |
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+ | zigzag | 15,294 | 6.45% | Camera advances with alternating lateral motion |
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+ | birdseye | 6,571 | 2.77% | Top-down overhead camera perspective |
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+ | **Total** | **190,670** | **100.00%** | --- |
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+ ### Secondary Camera Motion
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+ *Secondary motions are compositional layers that may overlap temporally. Reported durations are therefore independent per-motion totals rather than shares of a fixed duration budget.*
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+ | Motion Type | Active Time (hours) | Description |
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+ |---|---:|---|
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+ | breathing | 1,221.77 | Gentle breathing-like motion to mimic human respiration |
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+ | drift | 1,211.96 | Slow subtle positional motion over time |
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+ | dutch_angle | 1,205.72 | Rotation around the forward axis producing a tilted horizon |
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+ | shake | 1,197.87 | Rapid positional and rotational handheld jitter |
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+ | sway | 1,191.28 | Pendulum-like oscillatory motion with horizon rocking |
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+ | zoom | 1,184.09 | Forward/backward motion without lens-property changes |
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+ | crab | 373.72 | Lateral translation while maintaining viewing direction |
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+ | tilt | 195.33 | Up/down rotational motion around the horizontal axis |
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  ## Dataset Characterization <br>
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  ** Data Collection Method<br>
 
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  Feature Count (per record): RGB and depth videos, depth companion metadata (depth range, resolution, frame rate, and dtype), per-frame camera intrinsics and extrinsics, world configuration metadata, and asset configuration metadata. <br>
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+ Total Data Storage: Approximately 97 TB. <br>
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  ## Reference(s): <br>
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