[KongchangAI]
Benchmark

MarathonDocBench

A benchmark for document parsing at extreme lengths, targeting scenarios of more than one hundred pages. It evaluates a model's ability to preserve information and structural consistency over very long contexts.

Timeline (last 90 days)

Oct 30

MarathonDocBench is a new hundred-page-level document parsing benchmark proposed by the Unlimited OCR 2 team to fill the gap in existing evaluations on the ultra-long document range.

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Oct 27

Unlimited OCR 2 scored 77.1 on MarathonDocBench.

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Oct 27

MarathonDocBench is an OCR evaluation benchmark oriented toward long documents.

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Oct 27

A single benchmark score (such as 77.1) is insufficient to fully assess the real quality of long-document OCR; factors such as layout complexity and scan quality also need to be considered.

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Oct 27

Baidu says Unlimited OCR 2 achieves SOTA performance on the tens-of-pages-level benchmark MPDocBench and the hundreds-of-pages-level benchmark MarathonDocBench.

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Oct 27

MarathonDocBench targets extreme-length scenarios of over a hundred pages, examining the model's ability to retain information and maintain structural consistency over ultra-long contexts.

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