ALLVB: All-in-One Long Video Understanding Benchmark

ALLVB is a benchmark dataset for evaluating multimodal large language models on long video understanding tasks. The dataset was created by the ALLVB organization and was last updated on the Hugging Face platform in May 2025. It is licensed for research purposes only under CC-BY-NC-SA-4.0.

Use Cases

• Benchmarking model performance on long video understanding tasks based on the dataset's stated purpose.
• Training multimodal LLMs to interpret and reason about video content.
• Evaluating the progression of AI capabilities from image to video understanding as mentioned in the description.

Strengths

• Dataset is explicitly designed as a benchmark for a specific AI task: long video understanding.
• License and intended use (research-only) are clearly stated in the description.
• Last update timestamp (2025-05-08) is provided, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.
• Description metadata is limited; the full description requires visiting an external page.

Provenance

Source

ALLVB organization, hosted on Hugging Face.

Collection Method

Likely curated for benchmarking purposes; specific gathering method is not detailed.

Time Range

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Freshness

Last updated 2025-05-08 14:29:35; freshness should be verified.

Geography

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