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: region_id
dtype: string
- name: region_reading_order
dtype: int64
- name: region_type
dtype: string
- name: filename
dtype: string
- name: project_name
dtype: string
splits:
- name: train
num_examples: 1148
num_bytes: 185010852
- name: test
num_examples: 61
num_bytes: 185010852
download_size: 370021704
dataset_size: 370021704
configs:
- config_name: default
data_files:
- split: train
path: data/train/**/*.parquet
- split: test
path: data/test/**/*.parquet
tags:
- image-to-text
- htr
- trocr
- transcription
- pagexml
license: mit
Dataset Card for lines-test-service
This dataset was created using pagexml-hf converter from Transkribus PageXML data.
Dataset Summary
This dataset contains 1,209 samples across 2 split(s).
Dataset Structure
Data Splits
- train: 1,148 samples
- test: 61 samples
Dataset Size
- Approximate total size: 352.88 MB
- Total samples: 1,209
Features
- image:
Image(mode=None, decode=False) - text:
Value('string') - line_id:
Value('string') - line_reading_order:
Value('int64') - region_id:
Value('string') - region_reading_order:
Value('int64') - region_type:
Value('string') - 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-test-service")
# Load specific split
train_dataset = load_dataset("jwidmer/lines-test-service", split="train")
Projects Included
B_IX_490_duplicated