metadata

pretty_name: Health Hovedstaden
language:
  - da
license: cc0-1.0
license_name: CC-0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - Den-Intelligente-Patientjournal/region_hovedstaden_text
domains:
  - Medical
  - Encyclopedic

Dataset Card for Health Hovedstaden

Guidelines and informational documents for healthcare professionals from the Capital Region

The document collection consists of guidelines and informational documents for healthcare professionals in the Capital Region of Denmark. The documents therefore contain a number of specialized terms and concepts that are frequently used within the healthcare sector.

The corpus was created based on the texts in the document collection and has been post-processed so that the texts can be used for the development of language technology.

Martin Sundahl Laursen and Thiusius R. Savarimuthu from the University of Southern Denmark have assisted the Danish Agency for Digital Government with the post-processing of the data. Read their joint paper on "Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text."

Dataset Description

Number of samples: 24.00K
Number of tokens (Llama 3): 27.07M
Average document length in tokens (min, max): 1.13K (4, 51.03K)

Dataset Structure

An example from the dataset looks as follows.

{
  "id": "health_hovedstaden_0",
  "text": "Acetylsalicylsyre - Aspirin, Akutlægebil\n\nMålgrupper og anvendelsesområde\nDefinitioner\nFremgangsmåde[...]",
  "source": "health_hovedstaden",
  "added": "2025-07-07",
  "created": "2015-01-01, 2020-12-31",
  "token_count": 766
}

Data Fields

An entry in the dataset consists of the following fields:

id (str): An unique identifier for each document.
text(str): The content of the document.
source (str): The source of the document (see Source Data).
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.
token_count (int): The number of tokens in the sample computed using the Llama 8B tokenizer

Additional Processing

Unintended Uses

Please note that the corpus has been developed for the purpose of language technology development and should not be used as a source of healthcare information. The documents were scraped at a specific time and will therefore not be updated with changes. In this regard, please refer to the Capital Region of Denmark's document collection.

Dataset Statistics

Additional Information

License Information

The dataset have been released under a CC-0 license.

Citation Information

If you are using the data please reference the following paper Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text