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Add PaddlePaddle/PaddleOCR-VL-1.6 OCR results (5 samples) [paddleocr-vl-1.6]
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metadata
tags:
  - ocr
  - text-recognition
  - tesseract
  - uv-script
  - generated
configs:
  - config_name: paddleocr-vl-1.6
    data_files:
      - split: train
        path: paddleocr-vl-1.6/train-*
dataset_info:
  config_name: paddleocr-vl-1.6
  features:
    - name: image
      dtype: image
    - name: volume
      dtype: int64
    - name: volume_label
      dtype: string
    - name: leaf_number
      dtype: int64
    - name: page_number
      dtype: string
    - name: page_number_confidence
      dtype: int64
    - name: page_type
      dtype: string
    - name: width
      dtype: int64
    - name: height
      dtype: int64
    - name: ocr_text
      dtype: string
    - name: markdown
      dtype: string
    - name: inference_info
      dtype: string
  splits:
    - name: train
      num_bytes: 842156
      num_examples: 5
  download_size: 847448
  dataset_size: 842156

Document OCR using Tesseract

This dataset contains OCR results from images in davanstrien/encyclopaedia-britannica-1771 using Tesseract, the classical open-source CPU OCR engine — a cheap, no-GPU baseline alongside the VLM OCR recipes.

Processing Details

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

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/tesseract-ocr.py \
    davanstrien/encyclopaedia-britannica-1771 \
    <output-dataset> \
    --image-column image \
    --lang eng \
    --psm 3

Generated with UV Scripts