causality
logic_explanationstram-causality-responsescausality-two-room-modal
robomotic/causality-two-room-modal
This dataset contains trajectories collected in the swm/GlitchedHueTwoRoom-v1
environment for causal world-model experiments.
What is inside
glitched_hue_tworoom.h5: HDF5 dataset with trajectories and rendered frames.
Includes observations, actions, rewards, episode indexing, variation values,
and pixel renderings.
How it was generated
Collection script:
scripts/data/collect_glitched_hue.py
Configuration:… See the full description on the dataset page: https://huggingface.co/datasets/robomotic/causality-two-room-modal.swedish-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.causality-two-room
robomotic/causality-two-room
This dataset contains trajectories collected in the swm/GlitchedHueTwoRoom-v1
environment for causal world-model experiments.
What is inside
glitched_hue_tworoom.h5: HDF5 dataset with trajectories and rendered frames.
Includes observations, actions, rewards, episode indexing, variation values,
and pixel renderings.
How it was generated
Collection script:
scripts/data/collect_glitched_hue.py
Configuration:… See the full description on the dataset page: https://huggingface.co/datasets/robomotic/causality-two-room.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.