davanstrien HF Staff
Add PaddlePaddle/PaddleOCR-VL-1.6 OCR results (5 samples) [paddleocr-vl-1.6]
e7da7ca verified 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
- Source Dataset: davanstrien/encyclopaedia-britannica-1771
- Engine: Tesseract
5.3.0 - Language(s):
eng - Number of Samples: 5
- Processing Time: 0.5 min
- Processing Date: 2026-07-07 23:05 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
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