datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
visual_ai_at_neurips2025
Dataset Card for neurips-2025-vision-papers
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/visual_ai_at_neurips2025")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/visual_ai_at_neurips2025.EpiBench-NeurIPS2026
EpiBench
Anonymous release for NeurIPS 2026 Evaluations & Datasets Track review (paper ID 1899). All methodology, ablations, and analyses are in the companion paper; this card lists only what reviewers and downstream users need to load the data.
A 25,737-patient ILAE-aligned multimodal epilepsy benchmark derived from PubMed Central case reports + 192 EpiRAG textbook vignettes.
6 tasks: epilepsy_type, seizure_type, ez_localization, aed_response, surgery_outcome, status_epilepticus… See the full description on the dataset page: https://huggingface.co/datasets/NeurIPS-1899-ED-2026/EpiBench-NeurIPS2026.PRISM-Dataset
PRISM: Polarimetric Road-surface Intelligent Sensing and Measurement Dataset
Anonymous submission to NeurIPS 2026 Evaluations & Datasets Track.
Author identities and the camera-ready release URL will be revealed at the
camera-ready stage.
PRISM is a polarimetric road-surface dataset and benchmark of 47,098
time-synchronized frames combining trichromatic linear polarization,
co-boresighted RGB, 128-channel LiDAR, and RTK-GNSS/INS, captured from an
in-vehicle sensor rig across… See the full description on the dataset page: https://huggingface.co/datasets/NeurIPS-2026-PRISM/PRISM-Dataset.NeurIPS2026-DermVerse-500K
DermVerse-500K
Paper: DermVerse-500K: A Large-Scale Expert-Annotated Dataset with VLM Assisted Clinical Feature ExtractionSubmitted to: 40th Conference on Neural Information Processing Systems (NeurIPS 2026)Paper ID: 4127
Dataset Summary
DermVerse-500K is a large-scale dermatology dataset comprising 500,000 clinical images paired with fine-grained, structured clinical descriptors. It is designed to address critical limitations in existing dermatology AI resources:… See the full description on the dataset page: https://huggingface.co/datasets/BBAnonymous/NeurIPS2026-DermVerse-500K.PRISM-Dataset-Sample
PRISM Sample: Polarimetric Road-surface Intelligent Sensing and Measurement Dataset
Anonymous submission to NeurIPS 2026 Evaluations & Datasets Track.
This is a representative sample of the PRISM dataset, designed to enable reviewers and researchers to inspect data quality without downloading the full ~1.6 TB dataset.
Why a sample dataset?
The full PRISM dataset contains 47,098 time-synchronized frames across 41 sessions. This sample provides:
Quick quality inspection:… See the full description on the dataset page: https://huggingface.co/datasets/NeurIPS-2026-PRISM/PRISM-Dataset-Sample.visual_ai_at_neurips2025_jina_with_ocr
Dataset Card for harpreetsahota/visual_ai_at_neurips2025_jina_with_ocr
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_jina_with_ocr")
# Launch the App… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_jina_with_ocr.SenoMorph
SenoMorph
SenoMorph is a senescence-conditioned cell morphology benchmark of
single-cell DAPI crops paired with continuous, transcriptome-derived
senescence scores. The dataset accompanies an anonymous NeurIPS 2026
Datasets & Benchmarks submission.
Composition
Subset
Cells
Score-conditioned crops
Real (lung)
41,702
—
Real (prostate)
28,845
—
Real (skin)
16,844
—
Real total
87,391
—
Companion (lung)
41,702
417,020 (×10)
Companion (prost.)
28,845
288… See the full description on the dataset page: https://huggingface.co/datasets/anon-neuripsdb26/SenoMorph.visual_ai_at_neurips2025_colmodernvbert
Dataset Card for Voxel51/visual_ai_at_neurips2025
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_colmodernvbert")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_colmodernvbert.visual_ai_at_neurips2025_jina
Dataset Card for Voxel51/visual_ai_at_neurips2025
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_jina")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_jina.visual_ai_at_neurips2025_nomic
Dataset Card for Voxel51/visual_ai_at_neurips2025
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_nomic")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_nomic.