---
tags:
- ocr
- document-processing
- qianfan-ocr
- markdown
- uv-script
- generated
---

# Document OCR using Qianfan-OCR

This dataset contains OCR results from [davanstrien/ufo-ColPali](https://huggingface.co/datasets/davanstrien/ufo-ColPali) using Qianfan-OCR, Baidu's 4.7B end-to-end document intelligence model.

## Processing Details

- **Source Dataset**: [davanstrien/ufo-ColPali](https://huggingface.co/datasets/davanstrien/ufo-ColPali)
- **Model**: [baidu/Qianfan-OCR](https://huggingface.co/baidu/Qianfan-OCR)
- **Number of Samples**: 2
- **Processing Time**: 2.6 min
- **Processing Date**: 2026-06-05 10:30 UTC

### Configuration

- **Image Column**: `image`
- **Output Column**: `markdown`
- **Dataset Split**: `train`
- **Batch Size**: 8
- **Prompt Mode**: ocr
- **Layout-as-Thought**: Disabled
- **Thinking Traces**: Excluded
- **Max Model Length**: 16,384 tokens
- **Max Output Tokens**: 8,192
- **GPU Memory Utilization**: 85.0%

## Model Information

Qianfan-OCR key capabilities:
- #1 end-to-end model on OmniDocBench v1.5 (93.12)
- #1 on OlmOCR Bench (79.8)
- 192 language support
- Layout-as-Thought reasoning for complex documents
- Document parsing, table extraction, formula recognition, chart understanding
- Key information extraction

## Dataset Structure

The dataset contains all original columns plus:
- `markdown`: The extracted text in markdown format
- `inference_info`: JSON list tracking all OCR models applied

## Reproduction

```bash
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/qianfan-ocr.py \
    davanstrien/ufo-ColPali \
    <output-dataset> \
    --image-column image \
    --prompt-mode ocr \
    --batch-size 8
```

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