datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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-responsesmeta-causality-tsa-framework---从C^算子到ρc密度：构建统一因果框架的理论尝试
【导语】
在经典物理学与当代人工智能的研究范式中，因果关系往往被视为一种基于概率统计的相关性推断。然而，随着大模型幻觉问题的凸显与AGI（通用人工智能）发展的瓶颈，学界开始反思：能否将“因果”从经验归纳提升至“第一性原理”的高度，并赋予其严格的数学形式？本文提出“元因果论”（Meta-Causality），试图回答这一问题。
一、 因果：从关联关系回归本体重构
传统因果观（如休谟的恒常联结或 Pearl 的结构因果模型）多聚焦于“事件A是否导致事件B”。但在元因果论视域下，因果关系并非派生现象，而是构成时空、信息与意识的原初关系（Primitive Relation）。
我们认为，宇宙的演化并非单纯的粒子运动，而是因果序列的拓扑展开。在这一框架下，信息不再是香农意义上的比特流，而是因果网络的凝聚态。这一视角的转换，为解决AI的“理解”难题提供了新的本体论基础。
二、 核心数学构造：因果算子与密度场
为了将理论物理化，我们引入了两组核心数学对象：
因果编辑算子 C^定义… See the full description on the dataset page: https://huggingface.co/datasets/metacausality-first-calibrator/meta-causality-tsa-framework.Causality-Aware-CVSS
Causality-Aware CVSS Data Resources
This repository contains generated resources for building causality-aware speech-to-speech translation (S2ST) data from CVSS.
The resources are designed for causality-aware adaptive policy experiments FAST-CAP.
This repository is derived from the CVSS dataset, which is a multilingual-to-English speech-to-speech translation corpus built from Common Voice and CoVoST 2. This repository focuses on the following language directions:
Spanish → English… See the full description on the dataset page: https://huggingface.co/datasets/AmirHussein/Causality-Aware-CVSS.