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grundtvigs-works

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grundtvigs-works
File size: 6,240 Bytes 
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---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: date
    dtype: string
  - name: publisher
    dtype: string
  - name: xml
    dtype: string
  - name: md
    dtype: string
  - name: txt
    dtype: string
  splits:
  - name: train
    num_bytes: 127972212
    num_examples: 632
  download_size: 65868083
  dataset_size: 127972212
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
pretty_name: Grundtvig's Works
language:
- da
license: cc0-1.0
---

# Grundtvig's Works (Grundtvigs Værker)

Grundtvig's Works is a comprehensive digital humanities dataset containing the complete collected writings of
[Nicolai Frederik Severin Grundtvig](https://en.wikipedia.org/wiki/N._F._S._Grundtvig) (1783-1872), one of Denmark's most influential cultural and intellectual figures.

## Dataset Details

### Dataset Description

This dataset contains 632 works by N.F.S. Grundtvig of various formats including ... [add a longer description here]


The works are derived from [www.grundtvigsværker.dk](https://www.grundtvigsværker.dk) where they can be further inspected and examined.


- **Curated by:** [Grundtvig Center](https://grundtvigcenteret.au.dk), Aarhus University
- **Uploaded by:** [Kenneth Enevoldsen](https://huggingface.co/KennethEnevoldsen)
- **Funded by [optional]:** [More Information Needed]
- **Language(s):** Primarily Danish (dan), from the 19th century
- **License:** N.F.S. Grundtvigs works fall under Public Domain (CC0)

### Dataset Sources

- **Paper [optional]:** [More Information Needed]
- **Dataset Website:** [www.grundtvigsværker.dk](https://www.grundtvigsværker.dk)

## Uses

This dataset represents a major digital preservation effort of Denmark's literary and intellectual heritage, providing structured access to works that shaped Danish theology, education, democracy, and cultural identity. It's valuable for research in digital humanities, Scandinavian studies, religious history, and 19th-century European thought.

In addition, this dataset is also a part of [Danish Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword), a collection of dataset intended for training language models, thus integrating Danish Cultural Heritage into the next generation of digital technologies.


## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

A sample in this dataset is structured as follows:

```py
{
  'id': '1824_392_txt', # unique id (1824_* denoted the publishing year)
  'title': 'Søgubrot med Efterklang',
  'author': 'Nicolai Frederik Severin Grundtvig', 
  'date': '2019-12-03', # [What is this date?]
  'publisher': 'Faculty of Arts, Aarhus University',
  # And the text in three different format, XML, markdown (md) and as raw text (txt)
  'xml': '<?xml version="1.0" encoding="UTF-8"?>\n<?xml-stylesheet [...]',
  'md': '---\ntitle: Søgubrot med Efterklang\nauthor: Nicolai Frederik Severin Grundtvig\ndate: 2019-12-03\npublisher: Faculty of Arts, Aarhus University\n---\n## Søgubrot med Efterklang [...]',
  'txt': 'Søgubrot med Efterklang.\n\n Fama superstes erit, nec in ullum decidet æuum\nQvod perfecta suo patravit tempore virtus.[...]'
}
```

In addition the raw files can also be accessed directly [here](https://huggingface.co/datasets/chcaa/grundtvigs-works/tree/main/source-data).

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[Original motivation - More Information Needed]


#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

Before upload the dataset was provided as XML and .txt files. The XML files were converted to .md and uploaded to Huggingface. The scripts for conversion and upload can be found [here](https://huggingface.co/datasets/chcaa/grundtvigs-works/tree/main/src) and a [.lock](https://huggingface.co/datasets/chcaa/grundtvigs-works/tree/main) file specifying the version can be found here.


#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

[More Information Needed]

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

This dataset contains no personal or sensitive information.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed - potentially delete]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

[Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations]

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]


## More Information

[contact info for grundvig centeret - questions regarding data]

This dataset was uploaded to Huggingface and processed by [Kenneth Enevoldsen](https://huggingface.co/KennethEnevoldsen).