ARTFEED — Contemporary Art Intelligence

NARU: New Benchmark for Narrative and Cultural Understanding in Japanese Long Videos

ai-technology · 2026-08-15

A new benchmark named NARU has been developed by researchers to assess narrative progression and cultural comprehension in Japanese long-form videos. This benchmark features 1,481 questions derived from 155 videos, which collectively run for 146.8 hours, covering four narrative and five cultural dimensions. To achieve this extensive benchmark, the team implemented a hierarchical memory-based annotation process that converts raw video into organized annotations related to events, narratives, and culture, followed by question generation through task-oriented synthesis and iterative shortcut elimination. The construction involved two verification stages by native speakers. This initiative fills a gap in current benchmarks, which seldom assess narrative tracking alongside implicit social meanings, especially in high-context, non-English media. The research can be found on arXiv with the identifier 2608.13210.

Key facts

  • NARU is a benchmark for narrative evolution and cultural understanding in Japanese long-form video.
  • It consists of 1,481 questions grounded in 155 videos totaling 146.8 hours.
  • The benchmark spans four narrative and five cultural dimensions.
  • A hierarchical memory-based annotation pipeline transforms raw video into structured annotations.
  • Questions are generated via task-oriented synthesis and iterative shortcut removal.
  • Two native-speaker verification stages are included in the construction process.
  • The paper is available on arXiv with identifier 2608.13210.
  • The benchmark addresses gaps in evaluating narrative tracking and implicit social meaning in non-English media.

Entities

Institutions

  • arXiv

Sources