Aslan-mingye/OCR-Quality
OCR-Quality Dataset Project Page | Paper | Github A comprehensive benchmark dataset for evaluating OCR quality across diverse document types and sources, introduced in the paper "Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR". Overview OCR-Quality is a dataset containing 1,000 document images with human-annotated quality scores and OCR text extracted by Qwen2.5-VL-72B model. The dataset is designed to evaluate and… See the full description on the dataset page: https://huggingface.co/datasets/Aslan-mingye/OCR-Quality.
| Author / organization | Aslan-mingye |
|---|---|
| License (as declared) | mit |
| Downloads | 649 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 17 October 2025 |
| Last updated at source | 7 May 2026 |
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- 16 Oct 2026 Description: OCR-Quality Dataset Project Page | Paper | Github A comprehensive benchmark dataset for evaluating OCR quality across diverse document types and sources, introduced in the paper "Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Ve → OCR-Quality Dataset Project Page | Paper | Github A comprehensive benchmark dataset for evaluating OCR quality across diverse document types and sources, introduced in the paper "Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Ve
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