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tags:
- ocr
- document-processing
- unlimited-ocr
- baidu
- markdown
- uv-script
- generated
---
# Document OCR using Unlimited-OCR
This dataset contains OCR results for [davanstrien/bhl-impact-groundtruth](https://huggingface.co/datasets/davanstrien/bhl-impact-groundtruth)
produced by [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) with vLLM.
## Processing Details
- **Source Dataset**: [davanstrien/bhl-impact-groundtruth](https://huggingface.co/datasets/davanstrien/bhl-impact-groundtruth)
- **Model**: [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR)
- **Number of Samples**: 10
- **Processing Time**: 2.6 min
- **Processing Date**: 2026-07-29 10:44 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/pr4598-header-ocr-test", 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/bhl-impact-groundtruth <output-dataset>
```
Generated with [UV Scripts](https://huggingface.co/uv-scripts)
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