---
license: cc-by-4.0
language:
- da
pretty_name: ' '
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: dev
    path: data/dev-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: text
    dtype: string
  - name: ents
    list:
    - name: start
      dtype: int64
    - name: end
      dtype: int64
    - name: label
      dtype: string
  - name: sents
    list:
    - name: start
      dtype: int64
    - name: end
      dtype: int64
  - name: tokens
    list:
    - name: id
      dtype: int64
    - name: start
      dtype: int64
    - name: end
      dtype: int64
    - name: tag
      dtype: string
    - name: pos
      dtype: string
    - name: morph
      dtype: string
    - name: lemma
      dtype: string
    - name: dep
      dtype: string
    - name: head
      dtype: int64
  - name: coref_clusters
    list:
      list:
      - name: start
        dtype: int64
      - name: end
        dtype: int64
      - name: label
        dtype: string
  splits:
  - name: train
    num_bytes: 8497539
    num_examples: 1994
  - name: dev
    num_bytes: 850344
    num_examples: 255
  - name: test
    num_bytes: 680676
    num_examples: 201
  download_size: 9905288
  dataset_size: 10028559
task_categories:
- token-classification
task_ids:
- named-entity-recognition
- part-of-speech
- parsing
tags:
- ddt
- danish-dependency-treebank
- dane
- cdt
---

# Combined CDT, DDT and DaNE dataset
This dataset merges the Danish UD treebank ([DDT](https://github.com/UniversalDependencies/UD_Danish-DDT)), Danish Dependency Treebank ([DaNE](https://huggingface.co/datasets/alexandrainst/dane)) and Copenhagen Dependency Treebank ([CDT](https://github.com/mbkromann/copenhagen-dependency-treebank)). The DDT contains part-of-speech, dependency and morphology tags and has been further annotated for entities by Alexandra Institute in DaNE. DDT is based on CDT to assign tags consistent with the universal dependencies project ([UD](https://universaldependencies.org/)). However, this process split the data in DDT into singular sentences, therefore models could not utilize information across sentence boundaries. 
This dataset contains merged overlapping documents between CDT and DDT, and additionaly DDT data which was not included in the said intersection. 
Furthermore, CDT contains annotations from DaNED for linking entities to known entities and DaCoref, for resolving coreferences.