datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
2deform360
Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
Project Page | Paper | GitHub Repository
Deform360 is a massive multi-view visuotactile dataset for deformable-object research, featuring 198 daily-life objects, 1,980 interaction sequences, and over 215 hours of observations from 41 surround-view cameras and bimanual tactile grippers to capture both global motion and contact-induced local deformations.
Installation
To load and… See the full description on the dataset page: https://huggingface.co/datasets/liuyibing/2deform360.Alexandria_geometry_optimization_paths_PBE_2D
Cite this dataset Schmidt, J., Hoffmann, N., Wang, H., Borlido, P., Carriço, P. J. M. A., Cerqueira, T. F. T., Botti, S., and Marques, M. A. L. Alexandria geometry optimization paths PBE 2D. ColabFit, 2025. https://doi.org/10.60732/8781419f
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_6pieq95jrqpn_0
Visit the ColabFit… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Alexandria_geometry_optimization_paths_PBE_2D.notch-beam-2d-impact
NotchBeam2D-Impact — StructBench canonical dataset
Download
One case, one file — fetch exactly what you need (pip install huggingface_hub):
from huggingface_hub import hf_hub_download, snapshot_download
# one case
path = hf_hub_download("StructBench/notch-beam-2d-impact",
filename="<case_id>.h5", repo_type="dataset")
# the full archive (resumable; cached under HF_HOME)
root = snapshot_download("StructBench/notch-beam-2d-impact"… See the full description on the dataset page: https://huggingface.co/datasets/StructBench/notch-beam-2d-impact.KiTS23-sliced-2dmental_rotation_2d_v2taylor-impact-2d
Taylor2D-Impact — StructBench canonical dataset
Download
One case, one file — fetch exactly what you need (pip install huggingface_hub):
from huggingface_hub import hf_hub_download, snapshot_download
# one case
path = hf_hub_download("StructBench/taylor-impact-2d",
filename="<case_id>.h5", repo_type="dataset")
# the full archive (resumable; cached under HF_HOME)
root = snapshot_download("StructBench/taylor-impact-2d", repo_type="dataset")… See the full description on the dataset page: https://huggingface.co/datasets/StructBench/taylor-impact-2d.mvsplat_dl3dv_2dMode_1Sub2D_FalseAlpha2d_dungeon_flier_video_balanced
2D Dungeon Flier Video: Balanced Causal Splits
This dataset is a split-safe, balanced augmentation of osazuwa/2d_dungeon_flier_video. It reuses all 10,000 source episodes exactly once and adds 3,100 episodes from the same simulator. There is no clip overlap across splits.
Each episode is a 14-second MP4 with 140 frames at 10 FPS and a stored resolution of 900 x 540 pixels. Matching NPZ files contain the nine-variable causal trace, action tokens, and intervention encoding.
Every… See the full description on the dataset page: https://huggingface.co/datasets/osazuwa/2d_dungeon_flier_video_balanced.mental_rotation_2dcyp_p450_2d6_inhibition_veith_et_al
Dataset Details
Dataset Description
The CYP P450 genes are involved in the formation and breakdown (metabolism)
of various molecules and chemicals within cells. Specifically, CYP2D6 is primarily
expressed in the liver. It is also highly expressed in areas of the central
nervous system, including the substantia nigra.
Curated by:
License: CC BY 4.0
Dataset Sources
corresponding publication
data source
Citation
BibTeX:
@article{Veith2009,
doi =… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/cyp_p450_2d6_inhibition_veith_et_al.transplat_dl3dv_2dMode_1Sub2D_FalseAlphadl3dv_2dMode_1Sub2D_TrueAlpha_fromRe10KPretrainedthermoelastic_2d_v1RefSpatial_2Dqwen35-2d-grounding-sft2d_3d_seq_path_spatial_reasoning
Spatial Reasoning Dataset
A synthetic dataset of Hamiltonian path puzzles with rich chain-of-thought reasoning, designed for training and evaluating spatial reasoning in language models.
Overview
Each sample presents a grid-based puzzle where the solver must find a path visiting every cell exactly once, moving only up/down/left/right (plus above/below for 3D). Puzzles span 2D grids (3x3 to 8x8) and 3D cubes (3x3x3 to 4x4x4), covering solvable, impossible, and multi-turn… See the full description on the dataset page: https://huggingface.co/datasets/eousphoros/2d_3d_seq_path_spatial_reasoning.STS-2D-Tooth
STS-2D-Tooth
The 2D panoramic dental X-ray subset of the STS (Semi-supervised Teeth
Segmentation) multi-modal dataset, as released in
Wang et al., Scientific Data 12, 117 (2025)
and used in the MICCAI 2023 STS Challenge.
Composition
4,000 panoramic X-ray images (PNG, 640x320, 3-channel grayscale-as-RGB) split
across two demographic subsets:
Subset
Total
Labeled
Unlabeled
A-PXI (adult)
3,500
850
2,650
C-PXI (child)
500
50
450
Total
4,000
900
3,100… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/STS-2D-Tooth.swebench_verified_a3_rl_DCAgent_selfinstruct_naive_sandboxes_2_verified_70_8B_2d90a66502D_finetuned_filtered_DF_Audio_Embeddingskitti-2d-detection-lance
KITTI 2D Object Detection (Lance Format)
A Lance-formatted version of the KITTI 2D Object Detection benchmark, sourced from nateraw/kitti so no manual signup or download from cvlibs.net is required. Each row is a single driving frame with inline JPEG bytes, the full set of 2D and 3D object annotations stored as parallel per-object lists, plus a cosine-normalized OpenCLIP ViT-B-32 image embedding — all available directly from the Hub at… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/kitti-2d-detection-lance.2DNMRGym
2DNMRGym
This dataset contains more than 22,000 2D HSQC spectrum for atom-level graph learning tasks.
To use this data, please cite: [https://arxiv.org/abs/2505.18181]
Dataset Details
Dataset Description
HSQC is one important type of 2D NMR experiments, which is crucial in molecular discrimination and structure elucidation tasks. In 2DNMRGym, the train split is annotated by an established algorithm, which provides silver-standard labels for surrogated… See the full description on the dataset page: https://huggingface.co/datasets/siriusxiao/2DNMRGym.cellmap-2d
CellMap 2D
This dataset contains all 2D slices from the EM volumes used in the CellMap segmentation challenge.
The dataset contains all x, y, z slices obtained from a total of 289 3D EM volume crops (the crops come from 22 different samples),
together with their corresponding labeled segmentation masks.
The slices were prepared and pushed to the HF datasets Hub with
this script.
You can load the dataset as follows (non-streaming mode):
ds =… See the full description on the dataset page: https://huggingface.co/datasets/eminorhan/cellmap-2d.synthetic-dataset-2d-1M-100K-0.2-reversesynthetic-dataset-2d-500K-50K-0.1-reverse-padzerooptiwing-airfoil-2d-full-v0
OptiWing Airfoil 2D — full
Everything: every optimizer iteration with the complete surface-field set, the raw section coordinates at each iteration, the sectional force breakdown, and adjoint sensitivities. Built with adjoint sensitivities.
This is the 2D OptiWing aerodynamic shape-optimization dataset, formatted to match the
EngiBench airfoil convention (one row per
optimization case). The three OptiWing-2D datasets share case_id, so a row in one joins to the
same case in the… See the full description on the dataset page: https://huggingface.co/datasets/Cashen/optiwing-airfoil-2d-full-v0.synthetic-dataset-2d-500K-50K-0.2-reverse-padzerosynthetic-dataset-2d-1M-100K-0.1-reversesynthetic-dataset-2d-1M-100K-0.1-padzeropompomcork_YoloSegment-2D-to-3D-RebotARM
PompomCork RGB-D Tabletop Segmentation (2D-to-3D)
Instance-segmentation dataset of small tabletop objects (cork, pompom,
lighter) captured with an Intel RealSense camera. It is the data behind an
RGB-D perception and grasping pipeline: 2D YOLO instance segmentation, lifting
masks to 3D, and base-frame pose estimation for robot picking.
Code, training and the full pipeline (ROS 2 / MoveIt):… See the full description on the dataset page: https://huggingface.co/datasets/ddt1992/pompomcork_YoloSegment-2D-to-3D-RebotARM.synthetic-dataset-2d-1M-100K-0.1