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**Quick links:** [\[💻 Code: ParseBench\]](https://github.com/run-llama/ParseBench) [\[📊 ParseBench dataset\]](https://huggingface.co/datasets/llamaindex/ParseBench)
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Some pages make a vision model lose its nerve: a dot leader that never ends, a grid of 192 ghosts, a code written in
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O and 0, a script it has barely seen. The frightened model keeps going, one more dot, one more row, one more ghost,
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and writes more than the page holds. **That is a Boo.**
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**Quick links:** [\[💻 Code: ParseBench\]](https://github.com/run-llama/ParseBench) [\[📊 ParseBench dataset\]](https://huggingface.co/datasets/llamaindex/ParseBench)
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Boo bench is built to capture the pages that scare VLMs (cause them to make mistakes) but most specialized document OCR APIs perform well on. It is a playful and simple litmus test for understanding the value and need for specialized models, tools, and agent harnesses for dodcument processing, beyong straight shotting documents to VLMs.
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Some pages make a vision model lose its nerve: a dot leader that never ends, a grid of 192 ghosts, a code written in
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O and 0, a script it has barely seen. The frightened model keeps going, one more dot, one more row, one more ghost,
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and writes more than the page holds. **That is a Boo.**
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