---
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](https://github.com/INL/galahad-corpus-data/tree/1.0.1/training-data).

## Statistics

The directory [statistics/](https://huggingface.co/datasets/ivdnt/galahad-corpus-data/tree/main/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

<details>
  <summary>Texts and tokens per corpus</summary>
  
- 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

</details>