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dh-unibe/image-text_koenigsfelden-charters-part-2

Dataset Card for transkribus-exports-6259-raw-xml This dataset was created using pagexml-hf converter from Transkribus PageXML data. Dataset Summary This dataset contains 68 samples across 1 split(s). Based on the Königsfelden Data Set (https://zenodo.org/records/5179361). PageXML representation of the text on the charters. For the transcription guidelines, see: (https://koenigsfelden.sources-online.org/intro.html). Geographical scope: SwitzerlandPeriod:… See the full description on the dataset page: https://huggingface.co/datasets/dh-unibe/image-text_koenigsfelden-charters-part-2.

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Dataset Card

Dataset Card for transkribus-exports-6259-raw-xml

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

Dataset Summary

This dataset contains 68 samples across 1 split(s). Based on the Königsfelden Data Set (https://zenodo.org/records/5179361). PageXML representation of the text on the charters. For the transcription guidelines, see: (https://koenigsfelden.sources-online.org/intro.html).

Geographical scope: Switzerland<br>Period: 1300-1350<br>Languages: German<br>Type of document: Protocols<br>Provenance: State Archives of Zurich<br>

Projects Included

  • —u-17_0208
  • —u-17_0223
  • —u-17_0246
  • —u-17_0249
  • —u-17_0251
  • —u-17_0252
  • —u-17_0254a
  • —u-17_0255
  • —u-17_0266a
  • —u-17_0267
  • —u-17_0268
  • —u-17_0273
  • —u-17_0276a
  • —u-17027701
  • —u-17027702
  • —u-17_0281
  • —u-17_0288
  • —u-17_0289
  • —u-17_0301
  • —u-17_0303
  • —u-17_0306a
  • —u-17_0307
  • —u-17_0307a
  • —u-17_0309
  • —u-17_0314
  • —u-17_0315
  • —u-17_0316
  • —u-17_0317
  • —u-17_0318
  • —u-17_0319
  • —u-17_0320
  • —u-17_0322
  • —u-17_0323
  • —u-17_0335

Dataset Structure

Data Splits

  • —train: 68 samples

Dataset Size

  • —Approximate total size: 2055.62 MB
  • —Total samples: 68

Features

  • —image: Image(mode=None, decode=False)
  • —xml_content: 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("dh-unibe/transkribus-exports-6259-raw-xml") 

# Load specific split
train_dataset = load_dataset("dh-unibe/transkribus-exports-6259-raw-xml", split="train")