metadata

pretty_name: OpenSubtitles
language:
  - da
license: cc0-1.0
license_name: CC-0
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - DDSC/partial-danish-gigaword-no-twitter

Dataset Card for OpenSubtitles

Danish subsection of OpenSubtitles.

Dataset Description

Language: dan, dansk, Danish
Number of samples: 29.82K
Number of tokens (Llama 3): 271.60M
Average document length (characters): 26298.02

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "Tidligere i vikingerne...\nJeg skal gå tilbage til England.\nBurde være gået tilbage for lang tid side[...]",
  "source": "opensubtitles",
  "id": "opensub_6822913",
  "added": "2025-01-02",
  "created": "1920-01-01, 2018-01-01",
  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
  "domain": "Conversation",
  "metadata": {
    "source-pretty": "OpenSubtitles"
  }
}

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

Additional Processing

Due to copyright concern additional documents have been removed due to copyright concerns. These include:

{
    # Der kommer en dag
    "opensub_6726481",
    "opensub_6732371",
    # Kollektivet
    "opensub_6645818",
    # Flaskepost fra P
    "opensub_6666922",
    "opensub_6720216",
    "opensub_6958711",
    # Fasandræberne
    "opensub_6036947",
    "opensub_6008622",
    # En du elsker
    "opensub_5828376",
    "opensub_5828378",
    # En chance til
    "opensub_6177523",
    # Lev stærkt
    "opensub_6467655",
    # Nymphomaniac
    "opensub_5604391",
    "opensub_5748340",
    "opensub_5748494",
    "opensub_5629516",
    # Kvinden i buret
    "opensub_5636248",
    "opensub_5514603",
    "opensub_5504932",
    # Den skaldede frisør
    "opensub_5084880",
    "opensub_5031826",
    # Jagten
    "opensub_6929419",
    "opensub_4885548",
    # Melancholia
    "opensub_4421330",
    "opensub_4406991",
    "opensub_4418817",
    # Ambassadøren
    "opensub_4557721",
    # Antichrist
    "opensub_5511502",
    "opensub_3938655",
    "opensub_3636940",
    "opensub_3564521",
    "opensub_3562215",
    # En kongelig affære
    "opensub_4725493",
    "opensub_4725160",
    "opensub_4725159",
    "opensub_4916871",
    "opensub_5186746",
    # Brødre
    "opensub_233943",
    "opensub_87475",
}

We have additionally removed duplicate entries from the original dataset.

Dataset Statistics

Additional Information

Citation Information

This dataset was initially published as part of the Danish gigaword. We recommend that you cite and reference it if you use this dataset:

Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).

@inproceedings{dagw,
 title = {{The Danish Gigaword Corpus}},
 author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab},
 year = 2021,
 booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics},
 publisher = {NEALT}
}