datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PALL-VLM-data
PALL-VLM-data — Dental Vision-Language Dataset
The training dataset for Harisundar/PALL-VLM,
a dental vision-language model. It contains 32,884 records over 52,461 images,
formatted as image+text conversations for LLaVA-style instruction tuning.
Curated by: Harisundar R
Used by: Harisundar/PALL-VLM · PALL on GitHub
Language: English
Layout
vlm_train/
├── images/ # 52,461 dental images
├── train.jsonl # 29,667 records
├── val.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/Harisundar/PALL-VLM-data.Fundus-CoT
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/harvardairobotics/Fundus-CoT.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.