{
 "id": "mteb/Ddisco",
 "owner": "mteb",
 "name": "Ddisco",
 "downloads": 43,
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 "last_modified": "2025-05-06T12:01:37.000Z",
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 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{flansmose-mikkelsen-etal-2022-ddisco,\n  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.},\n  address = {Marseille, France},\n  author = {Flansmose Mikkelsen, Linea  and\nKinch, Oliver  and\nJess Pedersen, Anders  and\nLacroix, Oph{\\'e}lie},\n  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},\n  editor = {Calzolari, Nicoletta  and\nB{\\'e}chet, Fr{\\'e}d{\\'e}ric  and\nBlache, Philippe  and\nChoukri, Khalid  and\nCieri, Christopher  and\nDeclerck, Thierry  and\nGoggi, Sara  and\nIsahara, Hitoshi  and\nMaegaard, Bente  and\nMariani, Joseph  and\nMazo, H{\\'e}l{\\`e}ne  and\nOdijk, Jan  and\nPiperidis, Stelios},\n  month = jun,\n  pages = {2440--2445},\n  publisher = {European Language Resources Association},\n  title = {{DD}is{C}o: A Discourse Coherence Dataset for {D}anish},\n  url = {https://aclanthology.org/2022.lrec-1.260},\n  year = ",
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