General

Vript-Hard

Vript-Hard: video-understanding challenge tasks on densely-captioned clips. Vript-RR asks scene-specific multiple-choice questions given a hint; Vript-ERO asks for the correct temporal order of three scenes. Responses are per-(video-LLM, item) graded outcomes reproduced from the upstream verification pipeline.

286items
3subjects
Apache-2.0license
reasoningdomain
videomodality
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

Vript-Hard response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1VideoChat20.4704
  2. 2VideoChat0.2796
  3. 3Claude-Opus0.2313