davanstrien/unlimited-ocr-smoke
Document OCR using Unlimited-OCR This dataset contains OCR results for davanstrien/ufo-ColPali produced by baidu/Unlimited-OCR with vLLM. Processing Details Source Dataset: davanstrien/ufo-ColPali Model: baidu/Unlimited-OCR Mode: single image per row Number of Samples: 5 Processing Time: 2.3 min Processing Date: 2026-06-28 09:12 UTC Output Column: markdown Split: train Output The column holds the model's raw layout-grounded markdown: text spans… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/unlimited-ocr-smoke.
Document OCR using Unlimited-OCR
This dataset contains OCR results for davanstrien/ufo-ColPali produced by baidu/Unlimited-OCR with vLLM.
Processing Details
- Source Dataset: davanstrien/ufo-ColPali
- Model: baidu/Unlimited-OCR
- Mode: single image per row
- Number of Samples: 5
- Processing Time: 2.3 min
- Processing Date: 2026-06-28 09:12 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).
In multi-page runs, pages are separated by <PAGE>. Tables are returned as HTML and equations as LaTeX.
Usage
from datasets import load_dataset
ds = load_dataset("davanstrien/unlimited-ocr-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:
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/ufo-ColPali <output-dataset>Generated with UV Scripts
