datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
repro-causal-jepa-learning-world-models-through-object-level-latent-masking-traces
Agent traces
Agent sessions published from a Trackio Logbook.
browser-world-models-transitions
Browser World Models — Transitions
(before screenshot, action, after screenshot) transitions from real websites, for training and
evaluating a world model ("simulator") that predicts the consequence of a web action. Part of
the browser-world-models project.
How it was collected
An LLM policy (gpt-5.4-mini) drove vercel-labs/agent-browser
over the WebVoyager task set (642 tasks / 15 sites); the
task questions are the goals. For every action we saved a screenshot… See the full description on the dataset page: https://huggingface.co/datasets/sudac/browser-world-models-transitions.aat-real-world
Real-World AAT Materials Dataset
This dataset contains 189,523 real-world examples of cultural heritage object material descriptions paired with their corresponding Art & Architecture Thesaurus (AAT) material classifications.
Dataset Description
The dataset is designed for training models to extract material information from cultural heritage object descriptions. Each example consists of:
Input: A real material description from cultural heritage collections
Output:… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/aat-real-world.browser-world-models-webarena-reddit
browser-world-models: WebArena reddit transitions
Browser state transitions collected by running the 106 official WebArena reddit tasks
against a self-hosted, reproducible WebArena (Postmill) instance (rootless Apptainer on
SLURM). Each row: before/after screenshots, the Set-of-Marks action between them, the task
goal, and LLM-judge next-state labels in two target formats (free prose and a fixed
CHANGED/NAV/CONTENT/UI/ERROR template).
~726 transitions / 110 trajectories / 1… See the full description on the dataset page: https://huggingface.co/datasets/sudac/browser-world-models-webarena-reddit.world-model-registry
World Model Registry
World Model Registry is a curated, source-linked dataset for mapping the world-model ecosystem across Physical AI, robotics, learned simulation, planning and predictive representations.
Version: 0.1.0Last verified: 2026-09-24Initial records: 10
Why this registry exists
The label world model now covers several technical patterns:
World Foundation Model
World Action Model
Interactive World Model
Planning World Model
Action-Conditioned Video… See the full description on the dataset page: https://huggingface.co/datasets/world-models/world-model-registry.