metadata

language:
  - nl
dataset_info:
  features:
    - name: tokens
      sequence: string
    - name: pos
      sequence: string
    - name: lemma
      sequence: string
    - name: mw_id
      sequence: string
    - name: corpus
      dtype: string
  splits:
    - name: train
      num_bytes: 14145953
      num_examples: 10812
    - name: validation
      num_bytes: 2231572
      num_examples: 1686
    - name: test
      num_bytes: 1931275
      num_examples: 1639
  download_size: 3290324
  dataset_size: 18308800
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Galahad training data

As taken from Github.

Statistics

The directory statistics/ contains some frequency calculations such as a frequency list of all lemmata and part-of-speechs. Note that multi-words did not get any special treatment in the data structure, so both for lemma and PoS you may see concatenated labels such as lemma1+lemma2 as a single label for a given token.

Text and token counts

Total: 14,137 texts, 390,534 tokens

Texts and tokens per corpus

clvn: 857 texts, 27,654 tokens
couranten: 800 texts, 29,577 tokens
dbnl-excerpts-15: 138 texts, 9,611 tokens
dbnl-excerpts-16: 797 texts, 10,002 tokens
dbnl-excerpts-17: 256 texts, 11,626 tokens
dbnl-excerpts-18: 212 texts, 9,986 tokens
dbnl-excerpts-19: 503 texts, 15,301 tokens
dictionary-quotations-15: 2,231 texts, 41,012 tokens
dictionary-quotations-16: 1,826 texts, 45,851 tokens
dictionary-quotations-17: 1,901 texts, 45,836 tokens
dictionary-quotations-18: 1,756 texts, 46,182 tokens
dictionary-quotations-19: 1,540 texts, 34,740 tokens
letters-as-loot: 1,320 texts, 63,156 tokens