chcaa/Press-and-Plot

Press&Plot: Curated Danish 19th-Century Stories & Serial Fiction (v1.0)

Short description: A curated collection of 29 Danish newspaper stories (1816–1832), including single-part and multi-part fiction, manually inspected, cleaned, and categorized for research use. The dataset is a growing resource.

Dowloading the dataset

# using python
from datasets import load_dataset

ds = load_dataset("chcaa/press-and-plot", split="train")

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

Dataset Details

This dataset focuses on ephemeral fiction published in Danish newspapers, capturing forms often overlooked in traditional corpora. Each story is assigned a unique ID and a general category: short story (general fiction), biography, travelogue, & lovestory.

• —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 the 18th&19th century
• —License: Danish Newspapers fall under Public Domain (CC0)
• — ---

Data Summary

Data structure

A sample in this dataset is structured as follows:

{
  'feuilleton_id': 'letter-to-france_a', # unique id per installment
  'feuilleton_id_series': 'letter-to-france', # series/story id
  'text': 'Udtog af et Brev fra Generalinde Bertrand...' # full text per installment
  'label': 'fiction' # label assigned in task differentiating fiction from nonfiction in newspapers
  'subcategory': 'short story' # one of 4 subcategories
  'clean': '1' # whether or not manual cleaning has been performed
  'wordcount/part': '1017', # wordcount for part
  'wordcount/whole': '2157', # wordcount for full series
  'date': '1816-02-02',
  'author': 'A. v. Kotebue',
  'original_language': 'NaN', # from where this text was translated, if known
  'cliffhanger': '0' # whether part contains a cliffhanger
  'feuilleton_name': 'Blik i Fremtiden: Brev fra Generalinde Bertrand' # original title
  'complete': 'TRUE' # whether a part is missing
}

Methodology

• —Selected from high-confidence predictions of a fiction classifier.
• —Manually inspected and grouped across installments.
• —Cleaned for spelling and formatting. For more detail, see paper (forthcoming) ---

Version

v1.0

Citation

Forthcoming