metadata

pretty_name: Spontaneous speech
language:
  - da
license: cc0-1.0
license_name: CC-0
size_categories:
  - 1-10k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - danish-foundation-models/danish-gigaword

Dataset Card for Spontaneous speech

Conversational samples collected as a part of research projects at Aarhus University.

The conversational corpus included originates from interdisciplinary research conducted within the Interacting Minds Centre, and the Puzzle of Danish project at Aarhus University. Transcribed Danish speech is generally a rare kind of data, and spontaneous speech especially so; these manually transcribed conversations thus form a valuable resource. Spontaneous and pseudo-spontaneous conversations come from various contexts, e.g., getting to know each other, solving a puzzle together, or making joint decisions. The participants have agreed on releasing anonymized transcripts of their conversations. All conversations involve two speakers, sometimes conversing face-to-face, sometimes via a chat tool. Speech is transcribed post-hoc by native speakers. Studies published relying on this data include Fusaroli et al. (2012), Dideriksen et al. (2019), and Tylén et al. (2016).

Dataset Description

Language: dan, dansk, Danish
Number of samples: 411
Number of tokens (Llama 3): 1.56M
Average document length (characters): 9736.80

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "Taler 6: mm\nTaler 7: er du klar?\nTaler 6: ja\nTaler 7: så er spørgsmålet om vi skal- om det er sådan [...]",
  "source": "spont",
  "id": "spont_PuzzleOfDanish132",
  "added": "2020-01-21",
  "created": "2019-01-01, 2020-01-01",
  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
  "domain": "Conversation",
  "metadata": {
    "source-pretty": "Spontaneous speech"
  }
}

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

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}
}