Datasets:

chcaa
/

hist-dk-pos

dataset_info:
  features:
    - name: word
      dtype: string
    - name: pos
      dtype: string
  splits:
    - name: train
      num_bytes: 11682
      num_examples: 704
  download_size: 5014
  dataset_size: 11682
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Description

This dataset contains example sentences extracted from a piece of historical Danish newspaper fiction published in 1824. The text is randomly selected from the Press-and-Plot dataset (specifically, index 10).

Annotation Process

The text underwent multi-round annotation for part-of-speech (PoS) tagging:

First Round: Automated tagging using SpaCy's Danish PoS tagger (model="da_core_news_sm").
Second Round: Annotator 1 manually reviewed and corrected the tags assigned in the first round.
Third Round: Annotator 2 independently added their own corrected tags in parallel.
Final Round: Annotator 1 compared the corrections from both annotators and adjudicated the final tags to resolve a few discrepancies.

Dowloading the dataset

# using python
from datasets import load_dataset

ds = load_dataset("chcaa/hist-dk-pos", split="train")

# if you want it as a pandas DataFrame:
df = ds.to_pandas()

Dataset Details

This dataset indexes annotated PoS tags for historical Danish fiction.

Curated by: GoldenMatrix at Center for Humanities Computing (CHC), Aarhus University
Processed by: ENO, Aalborg University
Uploaded by: Pascale Feldkamp
Language(s): Danish (dan), from 1824
License: Danish Newspapers fall under Public Domain (CC0)