README.md

---
tags:
- ocr
- document-processing
- unlimited-ocr
- baidu
- markdown
- uv-script
- generated
configs:
- config_name: olmocr-2
  data_files:
  - split: train
    path: olmocr-2/train-*
dataset_info:
  config_name: olmocr-2
  features:
  - name: image
    dtype: image
  - name: volume
    dtype: int64
  - name: volume_label
    dtype: string
  - name: leaf_number
    dtype: int64
  - name: page_number
    dtype: string
  - name: page_number_confidence
    dtype: int64
  - name: page_type
    dtype: string
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  - name: ocr_text
    dtype: string
  - name: markdown
    dtype: string
  - name: markdown_metadata
    dtype: string
  - name: inference_info
    dtype: string
  splits:
  - name: train
    num_bytes: 842451
    num_examples: 5
  download_size: 848616
  dataset_size: 842451
---

# Document OCR using Unlimited-OCR

This dataset contains OCR results for [davanstrien/encyclopaedia-britannica-1771](https://huggingface.co/datasets/davanstrien/encyclopaedia-britannica-1771)
produced by [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) with vLLM.

## Processing Details

- **Source Dataset**: [davanstrien/encyclopaedia-britannica-1771](https://huggingface.co/datasets/davanstrien/encyclopaedia-britannica-1771)
- **Model**: [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR)
- **Number of Samples**: 5
- **Processing Time**: 2.3 min
- **Processing Date**: 2026-07-07 23:47 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-smoke", 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/encyclopaedia-britannica-1771 <output-dataset>
```

Generated with [UV Scripts](https://huggingface.co/uv-scripts)