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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)