datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tram-causality-responsesswedish-causality-binary
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… See the full description on the dataset page: https://huggingface.co/datasets/UppsalaNLP/swedish-causality-binary.swedish-causality-ranking
Swedish Causality Ranking Dataset
Causality ranking dataset for Swedish text, comparing sentence pairs on how well they match a causal prompt.
Dataset Description
This dataset contains pairs of Swedish sentences annotated on a 6-point scale for their causal relevance to a given prompt containing a cause or effect.
Fields
prompt: Query containing a cause or effect (e.g., "Verkan: växthuseffekt")
sentence_1_left_context: Context before sentence 1… See the full description on the dataset page: https://huggingface.co/datasets/UppsalaNLP/swedish-causality-ranking.compositional_logiclegal_reasoning_causality_legal_benchswedish-causality-trial
Swedish Causality Trial Dataset
Binary causality detection trial dataset for Swedish text with keyword-based sampling.
Dataset Description
This dataset contains Swedish sentences annotated for causality, sampled based on causal keywords (e.g., "bero på", "leda till").
Fields
keyword: The causal keyword used to sample the sentence
document: Source document ID
section: Section within the document
left_context: Preceding context sentences
target_sentence: The… See the full description on the dataset page: https://huggingface.co/datasets/UppsalaNLP/swedish-causality-trial.legal_reasoning_causality_legal_benchp2-etf-signature-granger-causality-resultsclinical-quad-ae-signal-background-noise-reporting-lag-causality-bias-v0.1Clinical Quad AE Noise Lag Attribution Bias v0.1
Each row is a site week safety snapshot.
Core quad
AE signal rateBackground noise rateReporting lagAttribution bias
Target
label_stop_signal_next_30d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
tram1-causality-responses