Reasoning

OCRBench v2

OCRBench v2: a large-scale bilingual (English + Chinese) text-centric benchmark for LMMs spanning eight capabilities (text recognition, referring, spotting, relation extraction, element parsing, mathematical calculation, visual text understanding, knowledge reasoning) with task-tailored metrics. Per-example predictions are ingested for InternVL2.5-26B (the one model with a released per-instance prediction file); response is a transparent per-example correctness flag and the raw model output is kept in the trace.

4,893items
1subjects
Apache-2.0license
reasoningdomain
nlp_taskdomain
mathematicsdomain
multilingualdomain
imagemodality
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

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

OCRBench v2 response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1InternVL2.5-26B0.3715