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@@ -39,7 +39,7 @@ The benchmark uses temporally reversed real-world videos as zero-cost counterfac
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  Each sample is a forward–reverse video pair with a text caption, a VLM-assigned causal/non-causal label, and a human discriminable label. The dataset contains ??? video pairs across four domains:
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  | Subset | Videos | Duration | Source | Content |
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- |---|---|---|---|
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  | `general` | 50 | 3 sec | Moment in Time | Unconstrained daily-life events |
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  | `physics` | 50 | 5 sec | Physics IQ | Mechanics, optics, thermodynamics etc. |
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  | `human` | 50 | 3 sec | Kinetics-400 | Human activities |
 
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  Each sample is a forward–reverse video pair with a text caption, a VLM-assigned causal/non-causal label, and a human discriminable label. The dataset contains ??? video pairs across four domains:
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  | Subset | Videos | Duration | Source | Content |
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+ |---|---|---|---|---|
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  | `general` | 50 | 3 sec | Moment in Time | Unconstrained daily-life events |
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  | `physics` | 50 | 5 sec | Physics IQ | Mechanics, optics, thermodynamics etc. |
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  | `human` | 50 | 3 sec | Kinetics-400 | Human activities |