Update README.md

README.md

@@ -37,3 +37,46 @@ configs:
   - 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},
+}
+```
+