generalization
steady-rans-generalization
Steady-RANS cross-family generalization dataset
Data for the paper "Towards generalized flow field prediction: one model across unseen
object families" (under double blind review; this account is anonymous for that reason).
Trained checkpoints and evaluation code are in the companion model repo:
steady-rans-surrogates.
Steady incompressible k-omega SST (OpenFOAM simpleFoam) external flow around 855 distinct
shapes (17 scripted parametric families plus 40 ModelNet object… See the full description on the dataset page: https://huggingface.co/datasets/BlidReview/steady-rans-generalization.generalization-science-dataphysics-generalization
Physics Generalization Dataset
1,000,020 diverse 2D rigid body physics simulation scenes for training and evaluating LLMs on physics prediction tasks.
Overview
This dataset contains procedurally generated physics simulations across 30 distinct scenario types organized in 6 categories. Unlike typical physics datasets that only feature random objects falling in a box, this dataset covers a wide range of physical phenomena: collisions, stacking, ramps, pendulums, constraints… See the full description on the dataset page: https://huggingface.co/datasets/Vikhrmodels/physics-generalization.generalization-dynamics-evals
Generalization Dynamics — Main Eval Suite
Prepared test sets for the 6 main evaluation families from
Generalization dynamics across fine-tuning
(Table 1).
Use with the unified runner:
https://github.com/jiaxin-wen/FT-generalization/tree/main/release
from huggingface_hub import snapshot_download
root = snapshot_download(
repo_id="jiaxin-wen/generalization-dynamics-evals", repo_type="dataset")
Or browse a single task (the dataset viewer shows all configs):
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/jiaxin-wen/generalization-dynamics-evals.team15-groot-two-task-generalization
mvp
This dataset was generated using a phospho starter pack.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
pickplace-color-generalization-12colors-train-1200