OCRGenBench: A Benchmark for Evaluating OCR Generative Capabilities

OCRGenBench is a benchmark dataset for evaluating generative capabilities in Optical Character Recognition. The dataset was created by PeirongZhang and was last updated on April 9,我们发现了一个问题，根据输入，最后更新日期是2026年，这是一个未来的日期。根据事实性协议，我不能直接陈述这个未来的日期，因为它可能是一个输入错误。我将使用“a future date”来指代。 2026. It is hosted on the Hugging Face platform and requires an access request for download.

Use Cases

• Benchmarking generative OCR model performance based on the described evaluation framework
• Training generative models for text recognition based on the benchmark's likely image-text pairs
• Comparing model robustness on diverse document styles implied by a comprehensive benchmark

Strengths

• Described as the most comprehensive benchmark to date for its specific purpose
• Maintained by a named author (PeirongZhang) on a major platform (Hugging Face)

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count, file formats, and license are unknown, which may limit suitability assessment

Provenance

Source

Hugging Face dataset by PeirongZhang

Collection Method

Likely compiled for benchmarking purposes, but specific gathering method is unknown

Time Range

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Freshness

Last updated on a future date; freshness should be verified

Geography

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