LapChole-FOCUS-VQA: A Benchmark for Long-Context Surgical Video Understanding

LapChole-FOCUS-VQA is a clinically grounded benchmark designed for evaluating long-context video understanding in minimally invasive surgery. The dataset is maintained by the ORena FOCUS Challenge team and was last updated on June 22, 2026. It is a gated resource, with access granted only to challenge participants after manual review.

Use Cases

• Benchmarking video question-answering models based on long-context surgical videos
• Training AI assistants for surgical training and assessment based on video understanding tasks
• Developing multimodal models for clinical video analysis based on the described benchmark tasks

Strengths

• Dataset is explicitly designed as a clinically grounded benchmark, suggesting domain relevance
• Focuses on long-context video understanding, a specific and challenging task
• Access is gated and subject to manual review, which may help ensure appropriate use

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

orena-dkfz (ORena FOCUS Challenge)

Freshness

Last updated 2026-06-22 22:25:00; freshness should be verified