File size: 1,746 Bytes
3b02b63 effffab 3b02b63 effffab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | ---
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)
|