datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CT-RATE-VQA
CT-RATE-VQA Dataset
We constructed a large-scale CT-VQA dataset based on the ReXGroundingCT data \cite{rexct} to support model training and evaluation.For each case, CT volumes were processed along with their corresponding multi-class segmentation masks, where each mask channel represents a specific lesion type.
This dataset is designed for medical visual question answering (Med-VQA) tasks.
ctrl-shift
Dataset Card for Control+Shift: Generating Controllable Distribution Shifts
[arXiv], [GitHub]
Curated by: Roy Friedman and Rhea Chowers
This dataset is the one that accompanies the paper Control+Shift: Generating Controllable Distribution Shifts.
Our data is based on CIFAR10 and ImageNet, using EDM to generate our data. We generated datasets for 3 types of distribution shift on CIFAR10 and ImageNet - so a total of 6 datasets. The types of distribution shifts are called overlap… See the full description on the dataset page: https://huggingface.co/datasets/friedmanroy/ctrl-shift.ctr-q23-six-state-start-observations-20260919
CTR Q2/Q3 six-state start observations
This public artifact contains directly rendered start observations from the
qualified E309-R006 Q2/Q3 suite for scene seed 1037. It is a visual audit
artifact, not a training dataset.
Conditions
Condition
Left stage
Right stage
C00
0
0
Cmid
0.5
0.5
L-lead
0.75
0.25
R-lead
0.25
0.75
CL
1
0
CR
0
1
Each condition includes the frozen top, left-wrist and right-wrist RGB
observation at 240 by 320 pixels.… See the full description on the dataset page: https://huggingface.co/datasets/Shiki42/ctr-q23-six-state-start-observations-20260919.MesaTask-CTRC-100-shuffled
Tabletop Scene Restoration Dataset - Initial (Shuffled) Layouts
This dataset holds the starting state of a scene restoration task: compared with the target state, 1-3 objects in each scene have been moved to random positions and need to be put back.
source.scene on each object identifies its scene.
Scenes: 100
Scene types: bathroom_vanity 22, coffee_table 9, dining_table 11, dressing_table 24, kitchen_counter 10, office_table 24
Objects moved per scene: 1-3… See the full description on the dataset page: https://huggingface.co/datasets/mifanfan/MesaTask-CTRC-100-shuffled.MesaTask-CTRC-100-target
Tabletop Scene Restoration Dataset - Target Layouts
This dataset holds the target state of a scene restoration task: each scene should be restored to the arrangement given here.
source.scene on each object identifies its scene and can be used to pair with other data from the same batch.
Scenes: 100
Scene types: bathroom_vanity 22, coffee_table 9, dining_table 11, dressing_table 24, kitchen_counter 10, office_table 24
Objects moved per scene: 1-3
Directory layout… See the full description on the dataset page: https://huggingface.co/datasets/mifanfan/MesaTask-CTRC-100-target.SegEarth-R2-reproduce