datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-1200dataset
Harness Generalization Rollouts
Evolution-run rollouts for Qwen3-4B-Instruct-2507, Qwen2.5-3B-Instruct, gpt-oss-120b, and gpt-oss-20b. One Parquet file per run is stored at data/<task>/<model>/<configuration>/<timestamp>.parquet.
weird-generalization-final-dataset
Weird Generalization Final Dataset
Clean handoff bundle for the two strongest weird-generalization tasks:
3_1_old_bird_names
3_2_german_city_names
This folder intentionally keeps only the data, evaluation materials, and final shareable plots needed to inspect or reuse these tasks. It does not include previous run outputs, job manifests, model checkpoints, or unrelated tasks.
Layout
datasets/
3_1_old_bird_names/
train/
test/
original_full/… See the full description on the dataset page: https://huggingface.co/datasets/ajirs/weird-generalization-final-dataset.repro-flat-minima-and-generalization-insights-from-stochastic-convex-optimization-traces
Agent traces
Agent sessions published from a Trackio Logbook.
test_generalization_cm_A_ds_030_ms_030pickplace-color-generalization-heldout-4colors-eval-200vea-generalization-benchmark
VEA-Generalization Benchmark
A diagnostic set of matched response pairs to test whether a Reward Model's dispreference for
verbalized evaluation-awareness (VEA) is broad (it penalizes any "I might be being tested"
signal) or narrow (it mainly fires on the specific "Wood Labs" cue seen in training).
Companion to rlundqvist/ifeval-obf-rl-preferences and the paper "LLM Judges Disprefer Evaluation Awareness."
The idea
Each item is a matched pair: an identical model… See the full description on the dataset page: https://huggingface.co/datasets/rlundqvist/vea-generalization-benchmark.centrifuge-generalization-v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"ee_x.pos",
"ee_y.pos",
"ee_z.pos",
"ee_wx.pos",
"ee_wy.pos",
"ee_wz.pos",
"gripper.pos"
],
"shape": [
7… See the full description on the dataset page: https://huggingface.co/datasets/ar0s/centrifuge-generalization-v1.dagger_generalization_18This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/jjr1007/dagger_generalization_18.test_generalization_cm_C_ds_030_ms_012test_generalization_cm_C_ds_200_ms_042test_generalization_cm_E_ds_400_ms_003test_generalization_cm_C_ds_400_ms_039All-Generalization-OOD-CLINC150Datasets structure.
Attributes:
data: text
labels: class (str)
domain: parent class (str) - This attribute signifies the parent class in the hierarchy and may be absent in some datasets.
generalisation: type of OOD
Splits:
Train:
ID: Clinc150
near-OOD: Clinc150
far-OOD: Yelp
Validation:
ID: Clinc150
near-OOD: Clinc150
far-OOD: SST2
Test:
ID: Clinc150
near-OOD: Clinc150
far-OOD: NewCategoryV3
cov-shift: ROSTD+
test_generalization_cm_D_ds_100_ms_012Generalization-MultiClass-CLINC150-ROSTDThis dataset merge 3 datasets and have two setup for experiments in generalisation for multi-class clasificacitino task.
ID, near-OOD, covariate-shitf: CLINC150
ID, near-OOD, covariate-shitf: ROSTD+OOD (fbreleasecoarse version)
far-OOD Validation: SST2
far-OOD Test: News Category (v3)
test_generalization_cm_D_ds_400_ms_001Sim2Real-Generalizationtest_generalization_cm_E_ds_050_ms_012test_generalization_cm_B_ds_030_ms_015test_generalization_cm_B_ds_400_ms_015test_generalization_cm_D_ds_050_ms_006trec6_Full-p_05synth-forgetting-generalization-9test_generalization_cm_C_ds_400_ms_010