chcaa/hist-dk-pos

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).

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Annotation Process

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

1. First Round: Automated tagging using SpaCy's Danish PoS tagger (model="da_core_news_sm").

2. Second Round: Annotator 1 manually reviewed and corrected the tags assigned in the first round.

3. Third Round: Annotator 2 independently added their own corrected tags in parallel.

4. Final Round: Annotator 1 compared the corrections from both annotators and adjudicated the final tags to resolve a few discrepancies.

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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()

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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)

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