sda
Datasets
All datasets matching “sda”tempofunk-sdance
TempoFunk S(mall)Dance
10k samples of metadata and encoded latents & prompts of videos themed around dance.
Data format
Video frame latents
Numpy arrays
120 frames, 512x512 source size
Encoded shape (120, 4, 64, 64)
CLIP (openai) encoded prompts
Video description (as seen in metadata)
Encoded shape (77,768)
Video metadata as JSON (description, tags, categories, source URLs, etc.)
surgenet-train
SurgeNet Training Dataset
Using NWS=20 input to ADCIRC to generate a dual graph dataset of historical TC storms (1980--2024 inclusive) for GNN training. 2 hour timesteps.
@misc{Thomas2025,
author = {Thomas, Simon D. A.},
title = {SurgeNet Training Dataset},
year = {2025},
publisher = {Hugging Face},
doi = {10.57967/hf/6971},
url = {https://huggingface.co/datasets/sdat2/surgenet-train}
}
WebShop-Qwen3-8B-SDAR-evalaig-dashboardThis is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about… See the full description on the dataset page: https://huggingface.co/datasets/sdasdawq234/aig-dashboard.tropical-gunshot-sda-dataset
SDA Dataset
Dataset Description
Dataset Summary
The SDA (Spectrogram Data Augmentation) dataset is a specialized audio dataset designed for automated gunshot detection in tropical forest environments. It is an augmented derivative of the publicly available tropical forest gunshot dataset (Katsis et al., 2022), enhanced through spectrogram-level augmentations to address the challenge of rare gunshot events and class imbalance. Developed as part of the research… See the full description on the dataset page: https://huggingface.co/datasets/aazmaine25/tropical-gunshot-sda-dataset.8tags
8TAGS
Dataset Summary
A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site wykop.pl. The service allows users to annotate articles with one or more… See the full description on the dataset page: https://huggingface.co/datasets/sdadas/8tags.