Kenneth Enevoldsen
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metadata
pretty_name: AI Aktindsigt
language:
  - da
license: apache-2.0
license_name: Apache 2.0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
domains:
  - Web
source_datasets:
  - AI-aktindsigt/Skrabet_kommunale_hjemmesider

Dataset Card for AI Aktindsigt

Multiple web scrapes from municipality websites collected as a part of the AI-aktindsigt project.

The dataset consists of multiple scrapes of municipal websites compiled in connection with the work on the AI-aktindsigt project. The scrape is made across different domains from several different municipalities.

Dataset Description

  • Language: dan, dansk, Danish
  • Number of samples: 200.91K
  • Number of tokens (Llama 3): 139.23M
  • Average document length (characters): 2030.75

Dataset Structure

An example from the dataset looks as follows.

{
  "id": "ai-aktindsigt_0",
  "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000",
  "source": "ai-aktindsigt",
  "domain": "Web",
  "added": "2025-03-24",
  "created": "2010-01-01, 2024-03-18",
  "token_count": 29
}

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

Sourced data

This dataset is derived from AI-aktindsigt/Skrabet_kommunale_hjemmesider

Citation Information

No citation is applicable for this work. We recommend citing the huggingface repository.