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davanstrien/unlimited-ocr-smoke-v2

Document OCR using Unlimited-OCR This dataset contains OCR results for davanstrien/unlimited-ocr-smoke-v2 produced by baidu/Unlimited-OCR with vLLM. Processing Details Source Dataset: davanstrien/unlimited-ocr-smoke-v2 Model: baidu/Unlimited-OCR Number of Samples: 5 Processing Time: 2.2 min Processing Date: 2026-06-30 13:49 UTC Output Column: markdown Split: train Output The column holds the model's raw layout-grounded markdown: text spans tagged… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/unlimited-ocr-smoke-v2.

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Dataset Card

Document OCR using Unlimited-OCR

This dataset contains OCR results for davanstrien/unlimited-ocr-smoke-v2 produced by baidu/Unlimited-OCR with vLLM.

Processing Details

—Source Dataset: davanstrien/unlimited-ocr-smoke-v2
—Model: baidu/Unlimited-OCR
—Number of Samples: 5
—Processing Time: 2.2 min
—Processing Date: 2026-06-30 13:49 UTC
—Output Column: markdown
—Split: train

Output

The column holds the model's raw layout-grounded markdown: text spans tagged <|ref|>...<|/ref|> with <|det|>...<|/det|> coordinate boxes (coords 0-1000). Strip them with re.sub(r'<\|det\|>.*?<\|/det\|>', '', t) then re.sub(r'<\|/?ref\|>', '', t).

Tables are returned as HTML and equations as LaTeX.

Usage

python

from datasets import load_dataset

ds = load_dataset("davanstrien/unlimited-ocr-smoke-v2", 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/unlimited-ocr-smoke-v2 <output-dataset>

Generated with UV Scripts