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Refine TOMATO licensing: academic/non-commercial; E2-Periodic derivatives under CC BY-NC-SA

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@@ -148,7 +148,7 @@ If you use this dataset, please cite the SVCBench paper:
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  - Annotations (parquet/JSON) and evaluation code: CC-BY-4.0
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  - Self-generated physics-simulation videos: CC-BY-4.0
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- - Source videos: retain their respective licenses — Ego4D (Ego4D License), ScanNet / ScanNet++ (respective Terms of Use, non-commercial research), ARKitScenes (Apple ARKitScenes license), RoomTour3D (CC-BY-NC), CODa (Apache-2.0), OmniWorld (CC-BY-NC), TOMATO (original TOMATO terms), and YouTube content (platform / creator terms).
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  By downloading this dataset, you agree to adhere to CC-BY-4.0 and to the licenses of all source datasets. If you are a rights holder with any concern about specific content, please open an issue and we will address it promptly.
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  - Annotations (parquet/JSON) and evaluation code: CC-BY-4.0
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  - Self-generated physics-simulation videos: CC-BY-4.0
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+ - Source videos: retain their respective licenses — Ego4D (Ego4D License), ScanNet / ScanNet++ (respective Terms of Use, non-commercial research), ARKitScenes (Apple ARKitScenes license), RoomTour3D (CC-BY-NC), CODa (Apache-2.0), OmniWorld (CC-BY-NC), TOMATO (academic / non-commercial only; self-created clips CC BY-NC-SA, YouTube-sourced clips under original Creative Commons licenses), and other YouTube content (platform / creator terms). The E2-Periodic clips are loop-concatenation derivatives of TOMATO and are therefore released for non-commercial research under CC BY-NC-SA, with attribution to TOMATO and the original video creators.
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  By downloading this dataset, you agree to adhere to CC-BY-4.0 and to the licenses of all source datasets. If you are a rights holder with any concern about specific content, please open an issue and we will address it promptly.
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