FunAILab/TVBench
Lost in Time: A New Temporal Benchmark for Video LLMs Daniel Cores*, Michael Dorkenwald*, Manuel Mucientes, Cees G. M. Snoek, Yuki M. Asano *Equal contribution. Updates 23 December 2024: Please redownload the dataset, as the Unexpected Action labels have been updated. TVBench TVBench is a new benchmark specifically created to evaluate temporal understanding in video QA. We identified three main issues in existing datasets: (i) static information from… See the full description on the dataset page: https://huggingface.co/datasets/FunAILab/TVBench.
| Author / organization | FunAILab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 14 |
| Created | 9 October 2024 |
| Last updated at source | 13 February 2026 |
Recent changes
- 16 Oct 2026 Description: Lost in Time: A New Temporal Benchmark for Video LLMs Daniel Cores*, Michael Dorkenwald*, Manuel Mucientes, Cees G. M. Snoek, Yuki M. Asano *Equal contribution. Updates 23 December 2024: Please redownload the dataset, as the Unexpected Acti → Lost in Time: A New Temporal Benchmark for Video LLMs Daniel Cores*, Michael Dorkenwald*, Manuel Mucientes, Cees G. M. Snoek, Yuki M. Asano *Equal contribution. Updates 23 December 2024: Please redownload the dataset, as the Unexpected Acti
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