---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1025645207.992
    num_examples: 102467
  download_size: 1519136190
  dataset_size: 1025645207.992
---
# Dataset Card for "NotarialDeeds"
# Dataset Card for [Dataset Name]

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
[https://zenodo.org/record/6414086](https://zenodo.org/record/64140860)

### Dataset Summary

The dataset consists of 102,467 images of 19th century Dutch handwriting with accompanying transcriptions. They have been extracted from the ground truth training set of 19th century notarial deeds from Noord-Hollands Archief and other archives in the provinces. The dataset is compiled by the National Archives of the Netherlands and Noord-Hollands Archief for a pilot for the the Transkribus HTR (Handwritten Text Recognition) platform.

**Dataset: Notarial deeds Ground Truths of the trainingset**

Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, [EAD](https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2), GT Transcriptions
Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, [EAD](https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2), GT Transcriptions
(And 168 transcripties from 7 other archives.)

**Dataset: Notarial deeds Images of the trainingset**

Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, [EAD](https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2), GT Scans
Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, [EAD](https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2), GT Scans
(And 168 scans from 7 other archives.)

### Languages

Dutch

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@grjadr](https://github.com/rjadr) for adding this dataset.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)