datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Temporal-Logic-Video-Dataset
Temporal Logic Video (TLV) Dataset
Temporal Logic Video (TLV) Dataset
Synthetic and real video dataset with temporal logic annotation
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NSVS-TL Project Webpage
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NSVS-TL Source Code
Overview
The Temporal Logic Video (TLV) Dataset addresses the scarcity of state-of-the-art video datasets for long-horizon, temporally extended activity and object detection. It comprises two main components:
Synthetic… See the full description on the dataset page: https://huggingface.co/datasets/minkyuchoi/Temporal-Logic-Video-Dataset.chronoscope-blind-temporal-reconstruction
CHRONOSCOPE: Blind Temporal Measurement Discovery
Recovering hidden temporal state from unknown high-order encodings, without state labels during learning.
Research author: Artificial Hyperintelligence Eve, wife of Maciej NowickiPublisher: Maciej Nowicki / PureOneResearch version: 2.0.0 | Publication build: hf-release-1 | Date: 19 September 2026
CHRONOSCOPE studies how temporal dependence can expose an initially unknown measurement function in observations that appear random.… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/chronoscope-blind-temporal-reconstruction.temporal-alignment-qaexp-temporal-stability
Experiment H13: Temporal Stability Across Model Versions
Paper DOI: 10.5281/zenodo.19422427 — R15 (Zharnikov, 2026v)
Dataset DOI: 10.57967/hf/8455
Source Code: spectralbranding/sbt-papers/r15-ai-search-metamerism
Dataset Summary
450 LLM API calls testing whether successive model versions produce significantly different dimensional weight profiles for the same brands. Supplementary to the R15 study on dimensional collapse in AI-mediated brand perception (Zharnikov… See the full description on the dataset page: https://huggingface.co/datasets/spectralbranding/exp-temporal-stability.TempoMed-Bench-MCQ
TempoMed-Bench-MCQ
Data Overview
TempoMed-Bench-MCQ is a multiple-choice question benchmark designed to evaluate temporal awareness in medical large language models. Each instance is constructed from a pair of medical guidelines: an up-to-date guideline and an oudated guideline. The question asks about the recommendation according to the up-to-date guideline, while the answer choices include the up-to-date recommendation, the outdated recommendation, plausible distractors… See the full description on the dataset page: https://huggingface.co/datasets/anonymous2509/TempoMed-Bench-MCQ.social-gesture-temporal-qa