--- 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 size_categories: - n<1K --- # 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) was one of Denmark’s most influential cultural and intellectual figures. As a critical edition, it includes editorial commentary by philologists and is continually updated. The project is scheduled for completion in 2030 and will comprise 1,000 individual works spanning 35,000 pages. The complete edition is freely available online. ## Downloading the dataset ```py # using python from datasets import load_dataset ds = load_dataset("chcaa/grundtvigs-works", split="train") # if you want it as a pandas DataFrame: df = ds.to_pandas() ``` Or you can download the whole repository using git, which includes XML, markdown, and raw text files: ``` git clone https://huggingface.co/datasets/chcaa/grundtvigs-works ``` ## Dataset Details 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]:** The edition is funded by the Danish Finance Act - **Language(s):** Primarily Danish (dan), from the 19th century - **License:** N.F.S. Grundtvig's works fall under Public Domain (CC0) ### Dataset Description This dataset represents version 1.25 (updated May 2025) of the digital scholarly edition of Grundtvig’s Works, comprising 632 texts by N.F.S. Grundtvig. All texts have been OCR-scanned, and each is processed through three separate textual collations. We compare three different first editions, identify variants between them, and incorporate their differences into the digitized version. Following collation, we enrich the texts with several layers of annotation, marked up in XML according to TEI P5 guidelines. These include: - *Explanatory commentaries* – clarifying older words or shifts in meaning - *Named entities* – identifying people, places, titles, and mythological figures - *Emendations* – documenting any corrections (no silent changes are made) - *Bible references* - allusions, quotations, and explicit references are identified and categorized according to type and source - We also provide introductory texts and textual essays to offer historical and interpretive context. Before publication, each text undergoes a triple review process. ### Dataset Sources - **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 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': '\n