metadata
tags:
- ocr
- document-processing
- dots-ocr-1.5
- multilingual
- markdown
- uv-script
- generated
Document OCR using dots.ocr-1.5
This dataset contains OCR results from images in davanstrien/ufo-ColPali using DoTS.ocr-1.5, a 3B multilingual model with SOTA document parsing.
Processing Details
- Source Dataset: davanstrien/ufo-ColPali
- Model: davanstrien/dots.ocr-1.5
- Number of Samples: 3
- Processing Time: 7.7 min
- Processing Date: 2026-03-14 17:05 UTC
Configuration
- Image Column:
image - Output Column:
markdown - Dataset Split:
train - Batch Size: 16
- Prompt Mode: layout-all
- Max Model Length: 24,000 tokens
- Max Output Tokens: 24,000
- GPU Memory Utilization: 90.0%
Model Information
DoTS.ocr-1.5 is a 3B multilingual document parsing model that excels at:
- 100+ Languages — Multilingual document support
- Table extraction — Structured data recognition
- Formulas — Mathematical notation preservation
- Layout-aware — Reading order and structure preservation
- Web screen parsing — Webpage layout analysis
- Scene text spotting — Text detection in natural scenes
Dataset Structure
The dataset contains all original columns plus:
markdown: The extracted text in markdown formatinference_info: JSON list tracking all OCR models applied to this dataset
Usage
from datasets import load_dataset
import json
# Load the dataset
dataset = load_dataset("{output_dataset_id}", split="train")
# Access the markdown text
for example in dataset:
print(example["markdown"])
break
# View all OCR models applied to this dataset
inference_info = json.loads(dataset[0]["inference_info"])
for info in inference_info:
print(f"Column: {info['column_name']} - Model: {info['model_id']}")
Reproduction
This dataset was generated using the uv-scripts/ocr DoTS OCR 1.5 script:
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr-1.5.py \
davanstrien/ufo-ColPali \
<output-dataset> \
--image-column image \
--batch-size 16 \
--prompt-mode layout-all \
--max-model-len 24000 \
--max-tokens 24000 \
--gpu-memory-utilization 0.9
Generated with UV Scripts