datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DataSeeds.AI-Sample-Dataset-DSD
DataSeeds.AI Sample Dataset (DSD)
This is a sample. For larger collections, custom production or annotation, write to sales@dataseeds.ai.
Dataset Summary
The DataSeeds.AI Sample Dataset (DSD) is a high-fidelity, human-curated computer vision-ready dataset comprised of 7,772 peer-ranked, fully annotated photographic images, 350,000+ words of descriptive text, and comprehensive metadata. While the DSD is being released under an open source license, a sister dataset… See the full description on the dataset page: https://huggingface.co/datasets/Dataseeds/DataSeeds.AI-Sample-Dataset-DSD.dental-implant-surgery-sample
Dental Implant Surgery — Multimodal Annotated Video (Sample Case)
A public sample from one complete All-on-4 full-arch mandibular dental implant
surgery: two synchronised camera angles, the operating surgeon narrating while
he works, and six layers of structured clinical annotation (L0–L5) tied frame by
frame to what he said.
This is a showcase slice, not the whole case. What is here is enough to judge
the structure, the annotation quality and the honesty of the documentation.… See the full description on the dataset page: https://huggingface.co/datasets/OralSurgery/dental-implant-surgery-sample.WildFake-Sample
WildFake-Sample
A 30,000-image sample of WildFake (Hao et al., AAAI 2025,
arXiv:2402.11843;
original dataset),
covering generators and real-image sources outside DDA/SID — a held-out
generalization slice, not a copy of the full ~3.6M-image dataset. All credit
for the images goes to WildFake's original authors. Built for
Buxt-Codes/AIGI-Detection
(branch LoRC-PC) — see that repo's HANDOFF.md for the evaluation
methodology and results.
Composition
Fake (19,500):… See the full description on the dataset page: https://huggingface.co/datasets/buxtcodes/WildFake-Sample.LMOD-Plus-Sample
LMOD+ — Sample Subset
A 1,076-instance sample of LMOD+, a large-scale multimodal
ophthalmology benchmark for developing and evaluating multimodal large language models (MLLMs).
This repository is a preview subset intended for quickly inspecting the data format, prototyping
evaluation harnesses, and running smoke tests. The full benchmark contains 32,633 instances across
12 ophthalmic conditions and 5 imaging modalities.
📄 Paper: ACM Transactions on Computing for Healthcare… See the full description on the dataset page: https://huggingface.co/datasets/Euanyu/LMOD-Plus-Sample.SAGE-sample
SAGE — Sample (10 crops preview)
A focused 10-crop sample of the full tirtho149/SAGE dataset. Each (crop, disease) class contributes up to 10 images (fixed seed for reproducibility).
For the full ~280 GB dataset, see tirtho149/SAGE.
Crops included
Crop
Disease classes
Images
Apple
36
209
Corn
86
679
Cotton
14
74
Mango
9
55
Potato
37
306
Rice
39
261
Soybean
58
498
Sugarcane
17
170
Tomato
48
365
Wheat
53
374
TOTAL
1,848… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/SAGE-sample.Infographic_image_dataset_samples
InfoBay.AI Infographic Dataset Catalogue
Overview
The InfoBay.AI Infographic Dataset Catalogue is a professionally curated collection of 90,000 infographic images designed for Artificial Intelligence, Computer Vision, Document Understanding, Visual Question Answering (VQA), Optical Character Recognition (OCR), and Multimodal Foundation Models.
The collection includes high-quality infographic assets covering business intelligence, education, finance, healthcare… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Infographic_image_dataset_samples.core_sample_image_data
🖼 Soil Core Sample Image Data
This dataset contains 3604 labeled images of soil core samples for image classification.
📌 Dataset Summary
Images: Squared images (300x300 pixels), cropped from full-scale high-resolution images of soil core samples.
Labels: hb, nb (terms according to DIN 4023:2006-02).
Format: Hugging Face datasets.Dataset with Image() feature.
Split: Train / val / test split is performed with a ratio of 0.8 / 0.1 / 0.1, whereas the samples are stratified… See the full description on the dataset page: https://huggingface.co/datasets/grano1/core_sample_image_data.figma_image_dataset_samples
InfoBay.AI Design Assets Dataset Collection
Overview
The InfoBay.AI Design Assets Dataset Collection is a comprehensive multimodal dataset containing more than 2.37 million professionally curated digital design assets across multiple creative domains. The collection has been prepared for Artificial Intelligence, Machine Learning, Computer Vision, Design Automation, Multimodal Foundation Models, Enterprise Search, Retrieval Systems, UI/UX Research, and Generative… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/figma_image_dataset_samples.samplellm-distribution-sample
LLM Distribution Evaluation Dataset
This dataset contains 1000 synthetic graphs with questions and answers about statistical distributions, designed to evaluate large language models' ability to analyze data visualizations.
Dataset Description
Dataset Summary
This dataset contains diverse statistical visualizations (bar charts, line plots, scatter plots, histograms, area charts, and step plots) with associated questions about:
Normality testing
Distribution… See the full description on the dataset page: https://huggingface.co/datasets/robvanvolt/llm-distribution-sample.qwen3.5-4b-base-blindspot-samples
Blind Spots of Frontier Models: Qwen3.5-4B-Base
Fatima Fellowship 2026 -- Technical Challenge Report
GitHub: GrantorShadow/Fatima-Fellowship-2026
1. Model Selection
Model: Qwen/Qwen3.5-4B-Base
Property
Value
Parameters
4B
Architecture
Gated DeltaNet hybrid: 8x(3xDeltaNet + FFN + 1xAttention + FFN)
Context Window
262K tokens (claimed)
Type
Base model (no instruction tuning)
Modality
Multimodal (text + vision)
Release
Within last 6 months on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/EtherealGlorious/qwen3.5-4b-base-blindspot-samples.