davanstrien/dots-ocr-1.5-smoke-test-v3

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: 2.0 min
• —Processing Date: 2026-03-14 16:38 UTC

Configuration

• —Image Column: image
• —Output Column: markdown
• —Dataset Split: train
• —Batch Size: 16
• —Prompt Mode: ocr
• —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 format
• —inference_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 ocr \
    --max-model-len 24000 \
    --max-tokens 24000 \
    --gpu-memory-utilization 0.9

Generated with UV Scripts