Datasets:

UppsalaNLP
/

swedish-causality-binary

license: cc-by-4.0
language:
  - sv
task_categories:
  - text-classification
tags:
  - causality
  - swedish
  - nlp
  - causality-detection
size_categories:
  - n<1K
source_datasets:
  - original

Swedish Causality Binary Classification Dataset

Binary causality detection dataset for Swedish text, extracted from Swedish Government Official Reports (SOU-corpus).

Dataset Description

This dataset contains Swedish sentences annotated for the presence of causal relations. Each example includes:

theme: The thematic category (e.g., "skog, växthuseffekt/klimat")
left_context: Preceding context sentences
target_sentence: The sentence to classify
right_context: Following context sentences
label: Binary annotation (0 = no causality, 1 = causality present)

Usage

from datasets import load_dataset

dataset = load_dataset("UppsalaNLP/swedish-causality-binary")

# Access train/test splits
train = dataset["train"]
test = dataset["test"]

# Example
print(train[0]["target_sentence"])
print(train[0]["label"])

Dataset Statistics

Split	Examples
Train	~80%
Test	~20%

Source

Text extracted from the SOU-corpus (Swedish Government Official Reports).

Citation

@inproceedings{durlich-etal-2022-cause,
    title = "Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish",
    author = "D{\"u}rlich, Luise and Reimann, Sebastian and Finnveden, Gustav and Nivre, Joakim and Stymne, Sara",
    booktitle = "Proceedings of the First Workshop on Natural Language Processing for Political Sciences",
    month = jun,
    year = "2022",
    address = "Marseilles, France"
}

License

This dataset is licensed under CC BY 4.0.