Chandra OCR Output - davanstrien/ufo-ocr-chandra
This dataset was created by processing images from davanstrien/ufo using the Chandra OCR model.
Model Information
- Model: Chandra (9B parameters, Qwen3VL-based)
- Accuracy: 83.1% on document benchmarks
- Strengths: Tables, old scans, long text documents
- OCR Mode: ocr_layout
Processing Configuration
- Temperature: 0.0 (initial), 0.3 (retry)
- Top-p: 0.1 (initial), 0.95 (retry)
- Max Output Tokens: 12384
- Batch Size: 28
- Bounding Box Scale: 1024
Output Columns
chandra_markdown: Markdown text extracted from imagesinference_info: Metadata about the generation parameters
Generation Script
This dataset was generated using the UV script from: https://huggingface.co/datasets/uv-scripts/ocr
To reproduce:
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/chandra.py \
davanstrien/ufo --output-dataset davanstrien/ufo-ocr-chandra --ocr-mode ocr_layout
Citation
If you use this dataset, please cite the Chandra model:
@article{chandra2024,
title={Chandra: High-Accuracy OCR for Document Processing},
author={DataLab Team},
year={2024}
}