storytracer/dots-mocr-latin-test-output

Document OCR using dots.mocr

This dataset contains OCR results from images in /home/seb/data/ocr/latin-test-input/ using dots.mocr, a 3B multilingual model with SOTA document parsing and SVG generation.

Processing Details

• —Source Dataset: /home/seb/data/ocr/latin-test-input/
• —Model: rednote-hilab/dots.mocr
• —Number of Samples: 3
• —Processing Time: 2.9 min
• —Processing Date: 2026-04-27 13:22 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: 60.0%

Model Information

dots.mocr 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
• —SVG code generation — Charts, UI layouts, scientific figures to SVG

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.mocr script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-mocr.py \
    /home/seb/data/ocr/latin-test-input/ \
    <output-dataset> \
    --image-column image \
    --batch-size 16 \
    --prompt-mode ocr \
    --max-model-len 24000 \
    --max-tokens 24000 \
    --gpu-memory-utilization 0.6

Generated with UV Scripts