README.md

metadata

dataset_info:
  config_name: default
  features:
    - name: image
      dtype:
        image:
          decode: false
    - name: text
      dtype: string
    - name: line_id
      dtype: string
    - name: line_reading_order
      dtype: int64
    - name: line_coords
      dtype:
        sequence:
          sequence: int64
    - name: line_baseline
      dtype:
        sequence:
          sequence: int64
    - name: line_augmentation
      dtype: string
    - name: region_id
      dtype: string
    - name: region_reading_order
      dtype: int64
    - name: region_type
      dtype: string
    - name: region_coords
      dtype:
        sequence:
          sequence: int64
    - name: filename
      dtype: string
    - name: project_name
      dtype: string
  splits:
    - name: train
      num_examples: 492
      num_bytes: 31862904
  download_size: 31862904
  dataset_size: 31862904
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train/**/*.parquet
tags:
  - image-to-text
  - htr
  - trocr
  - transcription
  - pagexml
license: mit

Dataset Card for lines-augment-test

This dataset was created using pagexml-hf converter from Transkribus PageXML data.

Dataset Summary

This dataset contains 492 samples across 1 split(s).

Dataset Structure

Data Splits

• train: 492 samples

Dataset Size

• Approximate total size: 30.39 MB

• Total samples: 492

• Number of augmentations: 2

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>.parquet

The HuggingFace Hub automatically merges all parquet files when loading the dataset.

Usage

from datasets import load_dataset

# Load entire dataset
dataset = load_dataset("jwidmer/lines-augment-test") 

# Load specific split
train_dataset = load_dataset("jwidmer/lines-augment-test", split="train")

Projects Included

1505-02-10_Hanserezess,Lübeck_Dienstag_nach_Scholastice_1505(SAHST_Rep__2,_I_040-4)