metadata

pretty_name: Danske Taler
language:
  - da
license: cc0-1.0
license_name: CC-0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
domains:
  - Conversation
  - Speeches
  - Spoken

Dataset Card for Danske Taler

Danish Speeches from dansketaler.dk.

The database dansketaler.dk is managed by Danske Taler, an independent institution that in addition to managing the database and carries out cultural and democratic projects based on speeches. Danske Taler state as their goals that they seek to preserve our cultural heritage and promotes active citizenship and democratic confidence through its work. Additionally, Danske Taler provides data to a number of online resources, including: lex.dk, sprogteknologi.dk, and ordnet.dk.

The goal of the dataset is to collect historical and timely speeches and make them available for the public.

Learn more about danske taler by reading their about us page.

NOTE: Danske-Taler is also collecting sermons, but these are not included in this dataset.

Dataset Description

Language: dan, dansk, Danish
Domains: Conversation, Speeches, Spoken
Number of samples: 2.91K
Number of tokens (Llama 3): 8.72M
Average document length (characters): 9140.42

Dataset Structure

An example from the dataset looks as follows.

{
  "id": "danske-taler_281",
  "text": "Tyske landsmænd og -kvinder !\nSyv år er kort tid, en brøkdel af en enkel menneskelig normaltilværels[...]",
  "source": "danske-taler",
  "added": "2025-06-24",
  "created": "1940-01-30, 1940-01-30",
  "token_count": 3020
}

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

Dataset Collection Process

This dataset was collected using the publicly available API.

Quality Assurance

We check for and remove exact duplicates, empty texts, duplicate ids after the initial download. We additionally check if the articles contain any HTML.

Opportunities for Improvement

While this dataset can be updated to include the latest availabe speeches.

We consider the quality of the current collection high with a low chance of incorrect formatting, spelling errors, empty documents or misformatted segments. This stems both from the quality assurance, source of documents and subjective inspection.

License Information

Since the license information isn't avaiable through the API we collect this data directly from the webpage of each article under the header "Ophavsret".

For speeches where it is noted that "Materialet er fri af ophavsret" (The material is in the public domain) or similarly we assign it a cc0 license.

Such an example can be seen here:

Ophavsret

Materialet er fri af ophavsret. Taler, som er holdt i offentligheden, er ikke omfattet af ophavsret (Jf. ophavsretslovens § 26 og 32). Det betyder, at når en tale er indgået i Danske Talers database, kan den bruges af tredjeparter, fx til undervisning eller forskning.

source: Ursula von der Leyens tale om europæisk forsvar og sikkerhed på Hærens Officersskole

Speeches without this mention is removed. Such an example include:

Ophavsret

Materialet er beskyttet af ophavsret

Source: Christina Egelunds tale ved Aarhus Universitets årsfest

We manually checked the unique set of license descriptions to see if any were open licenses that weren't included in the current criteria.

For specific filtering criteria see the create.py script.

Citation Information

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