--- tags: - ocr - document-processing - unlimited-ocr - baidu - markdown - uv-script - generated dataset_info: config_name: dots-mocr features: - name: image dtype: image - name: b_number dtype: string - name: page_index dtype: int64 - name: source_row dtype: int64 - name: markdown dtype: string - name: inference_info dtype: string splits: - name: train num_bytes: 20428784 num_examples: 50 download_size: 20340561 dataset_size: 20428784 configs: - config_name: dots-mocr data_files: - split: train path: dots-mocr/train-* --- # Document OCR using Unlimited-OCR This dataset contains OCR results for [davanstrien/moh-bench-sample](https://huggingface.co/datasets/davanstrien/moh-bench-sample) produced by [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) with vLLM. ## Processing Details - **Source Dataset**: [davanstrien/moh-bench-sample](https://huggingface.co/datasets/davanstrien/moh-bench-sample) - **Model**: [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) - **Number of Samples**: 50 - **Processing Time**: 6.5 min - **Processing Date**: 2026-07-08 16:49 UTC - **Output Column**: `markdown` - **Split**: `train` ## Output Grounding markup was stripped (`--strip-grounding`); the column holds clean text. Tables are returned as HTML and equations as LaTeX. ## Usage ```python from datasets import load_dataset ds = load_dataset("davanstrien/ocr-bench-moh", split="train") print(ds[0]["markdown"]) ``` ## Reproduction Generated with the [uv-scripts/ocr](https://huggingface.co/datasets/uv-scripts/ocr) Unlimited-OCR vLLM recipe. Unlimited-OCR needs Baidu's dedicated vLLM image: ```bash hf jobs uv run --flavor l4x1 -s HF_TOKEN \ --image vllm/vllm-openai:unlimited-ocr --python /usr/bin/python3 \ -e PYTHONPATH=/usr/local/lib/python3.12/dist-packages \ https://huggingface.co/datasets/uv-scripts/ocr/raw/main/unlimited-ocr-vllm.py \ davanstrien/moh-bench-sample ``` Generated with [UV Scripts](https://huggingface.co/uv-scripts)