jwidmer/test-powerserver-preprocessing-lines
Dataset Card for test-powerserver-preprocessing-lines This dataset was created using pagexml-hf converter from Transkribus PageXML data. Dataset Summary This dataset contains 825 samples across 1 split(s). Dataset Structure Data Splits train: 825 samples Dataset Size Approximate total size: 118.71 MB Total samples: 825 Features image: Image(mode=None, decode=False) text: Value('string') line_id:… See the full description on the dataset page: https://huggingface.co/datasets/jwidmer/test-powerserver-preprocessing-lines.
Dataset Card for test-powerserver-preprocessing-lines
This dataset was created using pagexml-hf converter from Transkribus PageXML data.
Dataset Summary
This dataset contains 825 samples across 1 split(s).
Dataset Structure
Data Splits
- train: 825 samples
Dataset Size
- Approximate total size: 118.71 MB
- Total samples: 825
Features
- image:
Image(mode=None, decode=False) - text:
Value('string') - line_id:
Value('string') - line_reading_order:
Value('int64') - line_coords:
List(List(Value('int64'))) - line_baseline:
List(List(Value('int64'))) - line_augmentation:
Value('string') - region_id:
Value('string') - region_reading_order:
Value('int64') - region_type:
Value('string') - region_coords:
List(List(Value('int64'))) - filename:
Value('string') - project_name:
Value('string')
Data Organization
Data is organized as parquet shards by split and project:
data/
├── <split>/
│ └── <project_name>/
│ └── <timestamp>-<shard>.parquetThe HuggingFace Hub automatically merges all parquet files when loading the dataset.
Usage
from datasets import load_dataset
# Load entire dataset
dataset = load_dataset("jwidmer/test-powerserver-preprocessing-lines")
# Load specific split
train_dataset = load_dataset("jwidmer/test-powerserver-preprocessing-lines", split="train")Projects Included
1507-05-13Hanserezess,LübeckAscensioDomini1507(SAHSTRep2,I_040-6)
