[KongchangAI]
Benchmark

OmniParseBench

An open-source OCR document parsing evaluation benchmark released by Datalab. It uses a yes/no grading scheme rather than traditional scoring, and contains 16,288 test items covering 2,937 pages and 92 languages, supporting audits sliced by tag, writing system and language.

Timeline (last 90 days)

Oct 15

Datalab released the open-source OCR benchmark OmniParseBench

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Oct 15

OmniParseBench contains 16,288 yes/no tests, covering 2,937 pages and 92 languages

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Oct 15

OmniParseBench adopts a judging-based design, and the final score is a pass rate rather than a similarity score

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Oct 15

Each score of OmniParseBench can be drilled down and sliced by tag, script, or language

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Oct 15

OmniParseBench opens both the test items and the judging logic, so third parties can independently reproduce the same conclusions under the same inputs

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Oct 15

The emergence of OmniParseBench pushes the competitive dimension of OCR evaluation from 'who scores higher' to 'who is reliable in specific scenarios'

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