--- 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](https://ai-aktindsigt.dk) project. The dataset consists of multiple scrapes of municipal websites compiled in connection with the work on the [AI-aktindsigt](https://ai-aktindsigt.dk) project. The scrape is made across different domains from several different municipalities. ## Dataset Description - **Language**: dan, dansk, Danish - **Domains**: Web - **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. ```py { "id": "ai-aktindsigt_0", "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000", "source": "ai-aktindsigt", "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: - `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](#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 ### Dataset Statistics

## Additional Information ### Sourced data This dataset is derived from [`AI-aktindsigt/Skrabet_kommunale_hjemmesider`](https://huggingface.co/datasets/AI-aktindsigt/Skrabet_kommunale_hjemmesider/tree/main ) ### Citation Information No citation is applicable for this work. We recommend citing the huggingface repository.