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README.md

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----
-annotations_creators:
-- expert-generated
-language:
-- da
-language_creators:
-- expert-generated
-license:
-- afl-3.0
-multilinguality:
-- monolingual
-pretty_name: DDisco
-size_categories:
-- 1K<n<10K
-source_datasets: []
-tags:
-- discourse
-- coherence
-task_categories:
-- text-classification
-task_ids: []
----
-
-# Dataset Card for DDisco
-
-## Dataset Description
-
-The DDisco dataset is a dataset which can be used to train models to classify levels of coherence in _danish_ discourse. Each entry in the dataset is annotated with a discourse coherence label (rating from 1 to 3):
-
-1: low coherence (difficult to understand, unorganized, contained unnecessary details and can not be summarized briefly and easily)
-2: medium coherence
-3: high coherence (easy to understand, well organized, only contain details that support the main point and can be summarized briefly and easily).
-Grammatical and typing errors are ignored (i.e. they do not affect the coherency score) and the coherence of a text is considered within its own domain.
-
-### Additional Information
-
-[DDisCo: A Discourse Coherence Dataset for Danish](https://aclanthology.org/2022.lrec-1.260.pdf)
-
-### Contributions
-
-[@ajders](https://github.com/ajders)

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