Datasetpublic

davanstrien/unlimited-ocr-britannica-smoke

Document OCR using Unlimited-OCR This dataset contains OCR results for davanstrien/encyclopaedia-britannica-1771 produced by baidu/Unlimited-OCR with vLLM. Processing Details Source Dataset: davanstrien/encyclopaedia-britannica-1771 Model: baidu/Unlimited-OCR Mode: single image per row Number of Samples: 8 Processing Time: 3.0 min Processing Date: 2026-06-28 09:17 UTC Output Column: markdown Split: train Output Grounding markup was stripped… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/unlimited-ocr-britannica-smoke.

sourceHugging Faceupdated 3mo agoView on Hugging Face

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Dataset Card

Document OCR using Unlimited-OCR

This dataset contains OCR results for davanstrien/encyclopaedia-britannica-1771 produced by baidu/Unlimited-OCR with vLLM.

Processing Details

—Source Dataset: davanstrien/encyclopaedia-britannica-1771
—Model: baidu/Unlimited-OCR
—Mode: single image per row
—Number of Samples: 8
—Processing Time: 3.0 min
—Processing Date: 2026-06-28 09:17 UTC
—Output Column: markdown
—Split: train

Output

Grounding markup was stripped (--strip-grounding); the column holds clean text.

In multi-page runs, pages are separated by <PAGE>. Tables are returned as HTML and equations as LaTeX.

Usage

python

from datasets import load_dataset

ds = load_dataset("davanstrien/unlimited-ocr-britannica-smoke", split="train")
print(ds[0]["markdown"])

Reproduction

Generated with the 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/encyclopaedia-britannica-1771 <output-dataset>

Generated with UV Scripts