| 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_info: | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: domain | |
| dtype: string | |
| - name: rating | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 815571 | |
| num_examples: 801 | |
| - name: test | |
| num_bytes: 209297 | |
| num_examples: 201 | |
| download_size: 672202 | |
| dataset_size: 1024868 | |
| # 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) |