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metadata
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), Danish Dependency Treebank (DaNE) and Copenhagen Dependency Treebank (CDT). 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). 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.