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external benchmark
Every model the catalog carries a published VideoQA value for, ranked by that value.
DeepMind's 1H-VideoQA tests recall and reasoning over videos lasting 40 to 90 minutes. The current 101-question, five-choice task remains separate from the original 126-question set.
The benchmark is defined by VideoQA methodology, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
What the benchmark measures and how its value is published, from the source’s own record.
VideoQA is an external benchmark published by VideoQA methodology. DeepMind's 1H-VideoQA tests recall and reasoning over videos lasting 40 to 90 minutes. The current 101-question, five-choice task remains separate from the original 126-question set. Its evaluation set is described by the source as 101 five-choice questions about videos lasting 40 to 90 minutes.
Each model's result is published by VideoQA methodology as zero-shot long-video multiple-choice answering. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.