---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: float64
  - name: category
    dtype: string
  - name: author
    dtype: string
  - name: id
    dtype: string
  - name: year
    dtype: float64
  - name: org_lang
    dtype: string
  - name: annotator_1
    dtype: float64
  - name: annotator_2
    dtype: float64
  - name: annotator_3
    dtype: float64
  - name: tr_xlm_roberta
    dtype: float64
  - name: vader
    dtype: float64
  - name: __index_level_0__
    dtype: string
  splits:
  - name: train
    num_bytes: 1051007
    num_examples: 6300
  download_size: 326724
  dataset_size: 1051007
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


## Dataset description

A dataset of literary sentences human-annotated for valence (0-10) used for developing multilingual SA

### 🔬 Data

|             | No. texts | No. annotations   | No. words  | Period     |
|-------------|-----|------|--------|------------|
| **Fairy tales**     | 3   | 772   | 18,597      | 1837-1847  |
| **Hymns**   | 65  | 2,026 | 12,798       | 1798-1873  |
| **Prose**   | 1  | 1,923 | 30,279         | 1952  |
| **Poetry**   | 40  | 1,579 | 11,576         | 1965  |

This is the **Fiction4 dataset** of literary texts, spanning 109 individual texts across 4 genres and two languages (**English** and **Danish**) in the 19th and 20th century.
The corpus consists of 3 main authors, Sylvia Plath for poetry, Ernest Hemingway for prose and H.C. Andersen for fairytales. Hymns represent a heterogenous colleciton from Danish official church hymnbooks from 1798-1873.
The corpus was annotated for valence on a sentence basis by at least 2 annotators/sentence.


## Some tags:
- text: sentence from a literary piece
- label: human mean annotated score (0-10)
- category: which literary genre it is [prose, poetry, hymns, fairytales]
- automatic sentiment scores of the sentences via a model-based & a dictionary based method. Columns=[tr_xlm_roberta, vader]
- id: parent story or collection of text


## Citation

If you want to use this data, please cite our work [available here](https://ceur-ws.org/Vol-3834/paper98.pdf):

```
@inproceedings{feldkamp_sentiment_2024,
	title = {Sentiment {Below} the {Surface}: {Omissive} and {Evocative} {Strategies} in {Literature} and {Beyond}},
	shorttitle = {Sentiment {Below} the {Surface}},
	booktitle = {Computational {Humanities} {Research} 2024},
	publisher = {CEUR Workshop Proceedings},
	author = {Feldkamp, Pascale and Overgaard, Ea Lindhardt and Nielbo, Kristoffer Laigaard and Bizzoni, Yuri},
	year = {2024},
}
```