metadata

pretty_name: Finansministeriets Udgivelser
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
domains:
  - Legal

Dataset Card for Finansministeriets Udgivelser

The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents.

Finansministeriets Udgivelser (translated as "Publications of the Ministry of Finance") is the publishing arm or publication series of the Danish Ministry of Finance. It includes official reports, economic analyses, budget proposals, fiscal policy documents, and various other publications related to Denmark's public finances, economic policy, and financial governance.

These publications typically provide insights into Denmark's economic outlook, public spending plans, tax policies, and financial reforms. They serve as important reference materials for economists, policy makers, researchers, and citizens interested in understanding Denmark's financial policies and economic direction.

The publications are authoritative sources of information on Danish fiscal policy and are often used by various stakeholders to track and analyze the country's economic performance and public finance management.

Dataset Description

Language: dan, dansk, Danish
Domains: Legal
Number of samples: 443
Number of tokens (Llama 3): 50.34M
Average document length (characters): 490101.93

Dataset Structure

An example from the dataset looks as follows.

{
  "id": "fm-udgivelser_0",
  "text": "\n\nFinanslov for\n\nfinansåret 2023 Tekst og anmærkninger\n\n§ 1. Dronningen\n\n\n\n\n\n§ 1.\n\nDronningen\n\nTekst[...]",
  "source": "fm-udgivelser",
  "added": "2025-03-24",
  "created": "2024-01-01, 2026-01-01",
  "token_count": 1354
}

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

Dataset Statistics

Additional Information

Citation Information

No citation is applicable for this work.