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---
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: 447
num_bytes: 104075904
download_size: 104075904
dataset_size: 104075904
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 line-test-cache
This dataset was created using pagexml-hf converter from Transkribus PageXML data.
## Dataset Summary
This dataset contains 447 samples across 1 split(s).
### Projects Included
- B_IX_490_duplicated
- export_doc2_modell_training_casanatense_pagexml_202507041437
## Dataset Structure
### Data Splits
- **train**: 447 samples
### Dataset Size
- Approximate total size: 99.25 MB
- Total samples: 447
### 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
```python
from datasets import load_dataset
# Load entire dataset
dataset = load_dataset("jwidmer/line-test-cache")
# Load specific split
train_dataset = load_dataset("jwidmer/line-test-cache", split="train")
```
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