metadata

pretty_name: MeMo Canonical Novels
language:
  - da
license: cc-by-sa-4.0
license_name: CC-BY-SA 4.0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - MiMe-MeMo/Corpus-v1.1

Dataset Card for MeMo Canonical Novels

The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough.

The MeMo corpus is established to investigate literary and cultural change in a seminal epoch of Scandinavian cultural and social history (known as 'the modern breakthrough') using natural language processing and other computational methods. The corpus consists of original novels by Norwegian and Danish authors printed in Denmark in the period 1870-99. It includes 858 volumes, totaling 4.5 million sentences and 65 million words.

Lex.dk is a Danish online encyclopedia platform providing access to reliable and authoritative knowledge on a wide range of topics. It is created and curated by experts, ensuring high-quality, accurate content. The platform serves as a central hub for general and specialized information in Danish, making it a valuable resource for education, research, and general learning.

Additional information about this dataset can be found on their project page or on their huggingface dataset.

Dataset Description

Language: dan, dansk, Danish
Number of samples: 839
Number of tokens (Llama 3): 9.28M
Average document length (characters): 32813.51

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "Underlige Fyre\n\nSkrevet af Oscar Aagaard\nPubliceret 1894 af Gyldendal\n\nFørste kapitel. Argus & co. W[...]",
  "source": "memo",
  "id": "1894_Aagaard_UnderligeFyre",
  "added": "2025-03-08",
  "created": "1894-01-01, 1894-12-31",
  "license": "cc-by-sa-4.0",
  "domain": "Wiki & Books",
  "metadata": {
    "source-pretty": "MeMo Canonical Novels"
  }
}

Data Fields

An entry in the dataset consists of the following fields:

text(str): The content of the document.
source (str): The source of the document (see Source Data).
id (str): An unique identifier for each document.
added (str): An date for when the document was added to this collection.
created (str): An date range for when the document was originally created.
license (str): The license of the document. The licenses vary according to the source.
domain (str): The domain of the source
metadata/source-pretty (str): The long form version of the short-form source name
metadata/*: Potentially additional metadata

Dataset Statistics

Additional Information

Contact

For questions related to the processing and conversion feel free to open a discussion thread for question related to the initial collect of the data please contact the project PI, Jens Bjerring-Hansen, associate professor at Copenhagen University.

Citation Information

This dataset is derived from the publicly availabe dataset MiMe-MeMo/Corpus-v1.1 and was release as a part of paper Bjerring-Hansen, Jens, et al. "Mending Fractured Texts. A heuristic procedure for correcting OCR data." (2022). https://ceur-ws.org/Vol-3232/paper14.pdf. Which has the follwing citation:

@inproceedings{bjerring2022mending,
  title={Mending Fractured Texts. A heuristic procedure for correcting OCR data},
  author={Bjerring-Hansen, Jens and Kristensen-McLachlan, Ross Deans and Diderichsen, Philip and Hansen, Dorte Haltrup},
  booktitle={CEUR Workshop Proceedings},
  volume={3232},
  pages={177--186},
  year={2022},
  organization={ceur workshop proceedings}
}

Other uses of this dataset

This study have additionally

@inproceedings{feldkamp_canonical_2024,
    address = {Miami, Florida, USA},
    title = {Canonical {Status} and {Literary} {Influence}: {A} {Comparative} {Study} of {Danish} {Novels} from the {Modern} {Breakthrough} (1870--1900)},
    booktitle = {Proceedings of the {Joint} 4th {International} {Conference} on {Natural} {Language} {Processing} for {Digital} {Humanities}},
    publisher = {Association for Computational Linguistics, Forthcoming},
    author = {Feldkamp, Pascale and Lassche, Alie and Kostkan, Jan and Kardos, Márton and Baunvig, Katrine F. and Nielbo, Kristoffer L.},
    year = {2024},
}