- h
vstar_sub
- huggingface.co
Updated Apr 26, 2025
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EmailClick to copy linkLink copiedCiteZixu Cheng (2025). vstar_sub [Dataset]. https://huggingface.co/datasets/Cade921/vstar_subDataset updatedApr 26, 2025AuthorsZixu ChengLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionDataset Card for Dataset Name
V-STaR is a spatio-temporal reasoning benchmark for Video-LLMs, evaluating Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Github repository: V-STaR
Dataset DetailsComprehensive Dimensions: We evaluate Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Human Alignment: We conducted… See the full description on the dataset page: https://huggingface.co/datasets/Cade921/vstar_sub.
- h
V-STaR
- huggingface.co
Updated Mar 12, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteV-STaR Benchmark (2025). V-STaR [Dataset]. https://huggingface.co/datasets/V-STaR-Bench/V-STaRDataset updatedMar 12, 2025Dataset authored and provided byV-STaR BenchmarkLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionDataset Card for Dataset Name
V-STaR is a spatio-temporal reasoning benchmark for Video-LLMs, evaluating Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Github repository: V-STaR
Dataset DetailsComprehensive Dimensions: We evaluate Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Human Alignment: We conducted… See the full description on the dataset page: https://huggingface.co/datasets/V-STaR-Bench/V-STaR.
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FacebookTwitterEmailAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Dataset Card for Dataset Name
V-STaR is a spatio-temporal reasoning benchmark for Video-LLMs, evaluating Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Github repository: V-STaR
Dataset Details
Comprehensive Dimensions: We evaluate Video-LLM’s spatio-temporal reasoning ability in answering questions explicitly in the context of “when”, “where”, and “what”. Human Alignment: We conducted… See the full description on the dataset page: https://huggingface.co/datasets/Cade921/vstar_sub.