---
tags:
- ocr
- text-recognition
- tesseract
- uv-script
- generated
dataset_info:
  config_name: pp-ocrv6
  features:
  - name: image
    dtype: image
  - name: b_number
    dtype: string
  - name: page_index
    dtype: int64
  - name: source_row
    dtype: int64
  - name: markdown
    dtype: string
  - name: pp_ocr_blocks
    dtype: string
  - name: inference_info
    dtype: string
  splits:
  - name: train
    num_bytes: 20968020
    num_examples: 50
  download_size: 20577145
  dataset_size: 20968020
configs:
- config_name: pp-ocrv6
  data_files:
  - split: train
    path: pp-ocrv6/train-*
---

# Document OCR using Tesseract

This dataset contains OCR results from images in [davanstrien/moh-bench-sample](https://huggingface.co/datasets/davanstrien/moh-bench-sample) using [Tesseract](https://github.com/tesseract-ocr/tesseract), the classical open-source CPU OCR engine — a cheap, no-GPU baseline alongside the VLM OCR recipes.

## Processing Details

- **Source Dataset**: [davanstrien/moh-bench-sample](https://huggingface.co/datasets/davanstrien/moh-bench-sample)
- **Engine**: [Tesseract](https://github.com/tesseract-ocr/tesseract) `5.3.0`
- **Language(s)**: `eng`
- **Number of Samples**: 50
- **Processing Time**: 0.5 min
- **Processing Date**: 2026-07-08 16:38 UTC

### Configuration

- **Image Column**: `image`
- **Output Column**: `markdown`
- **Dataset Split**: `train`
- **Page Segmentation Mode (psm)**: 3
- **OCR Engine Mode (oem)**: 3
- **Workers**: 64

## Model Information

Tesseract is a classical (non-VLM) OCR engine:
- Runs on CPU — no GPU required
- v4+ uses an LSTM-based recognition engine
- 100+ languages via installable data packs
- Plain-text output (no markdown / table / formula structure)
- Apache-2.0 licensed

## Dataset Structure

The dataset contains all original columns plus:
- `markdown`: The recognised text (plain text)
- `inference_info`: JSON list tracking all OCR models applied to this dataset

## Reproduction

```bash
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/tesseract-ocr.py \
    davanstrien/moh-bench-sample \
    <output-dataset> \
    --image-column image \
    --lang eng \
    --psm 3
```

Generated with [UV Scripts](https://huggingface.co/uv-scripts)