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mteb/Ddisco

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Permissive or share-alike

The declared licence (cc-by-sa-3.0) is classified as share-alike.

Declared licence: cc-by-sa-3.0, from the tagEvidence: README.md at 6fdd41b
Licence files: No licence file at the top level of the repositoryEvidence: file list at 6fdd41b
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-classification

Citation text from the card

@inproceedings{flansmose-mikkelsen-etal-2022-ddisco,
  abstract = {To date, there has been no resource for studying discourse coherence on real-world Danish texts. Discourse coherence has mostly been approached with the assumption that incoherent texts can be represented by coherent texts in which sentences have been shuffled. However, incoherent real-world texts rarely resemble that. We thus present DDisCo, a dataset including text from the Danish Wikipedia and Reddit annotated for discourse coherence. We choose to annotate real-world texts instead of relying on artificially incoherent text for training and testing models. Then, we evaluate the performance of several methods, including neural networks, on the dataset.},
  address = {Marseille, France},
  author = {Flansmose Mikkelsen, Linea  and
Kinch, Oliver  and
Jess Pedersen, Anders  and
Lacroix, Oph{\'e}lie},
  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
  editor = {Calzolari, Nicoletta  and
B{\'e}chet, Fr{\'e}d{\'e}ric  and
Blache, Philippe  and
Choukri, Khalid  and
Cieri, Christopher  and
Declerck, Thierry  and
Goggi, Sara  and
Isahara, Hitoshi  and
Maegaard, Bente  and
Mariani, Joseph  and
Mazo, H{\'e}l{\`e}ne  and
Odijk, Jan  and
Piperidis, Stelios},
  month = jun,
  pages = {2440--2445},
  publisher = {European Language Resources Association},
  title = {{DD}is{C}o: A Discourse Coherence Dataset for {D}anish},
  url = {https://aclanthology.org/2022.lrec-1.260},
  year =

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dataset_licence({ "id": "mteb/Ddisco" })
signal: "permissive"
stated_licence: "cc-by-sa-3.0"
sources: 0