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dh-unibe/image-text_zh-regierungsratsprotokolle

Dataset Card for image-text_zh-regierungsratsprotokolle This dataset was created using pagexml-hf converter from Transkribus PageXML data. Dataset Summary This dataset contains 152786 images. The document includes images and transcriptions of Regierungsratsprotokolle, transcribed within the frame of a project by the State Archives of Zurich. For more information see: (https://www.zentraleserien.zh.ch/home) Geographical scope: SwitzerlandPeriod: 1803-1883Languages:… See the full description on the dataset page: https://huggingface.co/datasets/dh-unibe/image-text_zh-regierungsratsprotokolle.

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Dataset Card

Dataset Card for image-text_zh-regierungsratsprotokolle

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

Dataset Summary

This dataset contains 152786 images.

The document includes images and transcriptions of Regierungsratsprotokolle, transcribed within the frame of a project by the State Archives of Zurich. For more information see: (https://www.zentraleserien.zh.ch/home)

Geographical scope: Switzerland<br>Period: 1803-1883<br>Languages: German<br>Type of document: Protocols<br>Provenance: State Archives of Zurich<br>

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Dataset Structure

Data Splits

  • —train: 152786 samples

Dataset Size

  • —Approximate total size: 1783572.44 MB
  • —Total samples: 152786

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-11481-raw-xml") 

# Load specific split
train_dataset = load_dataset("dh-unibe/transkribus-exports-11481-raw-xml", split="train")