README.md

---
dataset_info:
  features:
  - name: feuilleton_id
    dtype: string
  - name: feuilleton_id_series
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype: string
  - name: subcategory
    dtype: string
  - name: clean
    dtype: bool
  - name: wordcount/part
    dtype: int64
  - name: wordcount/whole
    dtype: int64
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: original_language
    dtype: string
  - name: cliffhanger
    dtype: float64
  - name: feuilleton_name
    dtype: string
  - name: complete
    dtype: string
  splits:
  - name: train
    num_bytes: 585442
    num_examples: 50
  download_size: 367205
  dataset_size: 585442
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 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
```py
# 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](https://chc.au.dk/research/golden-matrix) at Center for Humanities Computing (CHC), Aarhus University
- **Processed by:** [ENO](https://hislab.quarto.pub), Aalborg University
- **Uploaded by:** [Pascale Feldkamp](https://huggingface.co/PascaleF)
- **Language(s):** Danish (dan), from the 18th&19th century
- **License:** Danish Newspapers fall under Public Domain (CC0)
- 
---

## Data Summary

| Component   | Count | Notes                              |
|------------|-------|------------------------------------|
| Stories    | 29    | Single-part and multi-part narratives |
| Articles   | 50    | Installments grouped by feuilleton_id_series |
| Categories | 6     | Biography (bio), travellogue, short story & lovestory    |

---
## Data structure

A sample in this dataset is structured as follows:

```py
{
  '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