Update README.md
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README.md
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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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| `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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| 39 |
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:
|
| 40 |
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| 41 |
| Subset | Videos | Duration | Source | Content |
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| 42 |
+
|---|---|---|---|---|
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| 43 |
| `general` | 50 | 3 sec | Moment in Time | Unconstrained daily-life events |
|
| 44 |
| `physics` | 50 | 5 sec | Physics IQ | Mechanics, optics, thermodynamics etc. |
|
| 45 |
| `human` | 50 | 3 sec | Kinetics-400 | Human activities |
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