datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CloudSEN12-nolabel🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 NOLABEL
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-nolabel.CloudSEN12-scribble🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 NOLABEL
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12 SCRIBBLE
A Benchmark Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-scribble.CloudSEN12-high
🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 HIGH-QUALITY
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-high.Drivaerml_point_clouds
DrivAerML Point Clouds
A preprocessed, point-cloud version of the DrivAerML high-fidelity CFD dataset, ready for training point-based deep learning surrogates (PointNet, PCT, DGCNN, Graph Neural Operators, etc.) for automotive external aerodynamics.
The original DrivAerML release contains 500 scale-resolving CFD simulations of parametrically morphed DrivAer notchback geometries and ships as 31 TB of raw STL / VTP / VTU / OpenFOAM data. This release distills the surface boundary of… See the full description on the dataset page: https://huggingface.co/datasets/Jrhoss/Drivaerml_point_clouds.gcp-cloud-billing-costThaiIDCardSynt
Dataset Details
Dataset Description
Curated by: Matichon Maneegard
Shared by [optional]: Matichon Maneegard
Language(s) (NLP): image-to-text
License: apache-2.0
Dataset Sources [optional]
The dataset was entirely synthetic. It does not contain real information or pertain to any specific person.
Uses
Direct Use
Using for tranning OCR or Multimodal.
Dataset Structure
This dataset contains 98 x 6 = 588 samples, and the… See the full description on the dataset page: https://huggingface.co/datasets/Float16-cloud/ThaiIDCardSynt.cloud-gpu-price-index
Cloud GPU Price Index
Canonical source: https://gpueconomy.com/price-index. That page is
recomputed every hour; this record is a dated snapshot of it, version
2026-09-19, built from data updated 2026-09-19T09:26:26.511913+00:00. When you cite,
cite GPU Economy and link the page; the snapshot is here so that a number you
used keeps existing exactly as you used it.
The index is the weekly median publicly listed on-demand price of one NVIDIA
H100 SXM GPU-hour across the cloud GPU… See the full description on the dataset page: https://huggingface.co/datasets/gpueconomy/cloud-gpu-price-index.recentprofit-official-savings-data
RecentProfit Data Research v1.0
This repository packages RecentProfit's U.S. brand purchase-condition research as fact-level and comparison datasets. The canonical human-readable documentation, methodology, source links, and version history are on RecentProfit Data Research.
Author: RecentProfit
Schema version: v1.0
Data version: 2026-09-13
Region / currency: US / USD
Brands: 33
Current fact rows: 212
License: MIT
Data files
data/recentprofit-brand-facts.csv —… See the full description on the dataset page: https://huggingface.co/datasets/clouddress/recentprofit-official-savings-data.CloudSurf-4B-FC-bfcl-results
CloudSurf-4B-FC — raw BFCL V4 result files
Raw, unmodified BFCL V4 evaluation outputs backing the leaderboard submission
PR ShishirPatil/gorilla#1357
for CloudSurf-4B-FC
(a google/gemma-4-E4B-it fine-tune, Apache-2.0).
Both sides are included: our tuned runs and the stock gemma-4-E4B-it
baselines re-measured on the identical rig, so every number in the PR can be
recomputed from primary files.
Whiskers are the min–max across the three runs on each side. Stock wins
Irrelevance… See the full description on the dataset page: https://huggingface.co/datasets/cloudsurf-software/CloudSurf-4B-FC-bfcl-results.google-cloud_github_fetch_huggingface_terminal_6737_308aqj4zgoogle-cloud_github_fetch_huggingface_terminal_6737_3qt2dfa4cloud-vs-temperature-data
Why was it made?
It was made by collocating data from two satellites, INSAT-3DR and CLOUDSAT, dedicated for meteorology.
INSAT-3DR is a geostationary satellite over Indian region, while CLOUDSAT is a polar satellite dedicated for precise cloud observation.
Since CLOUDSAT is a polar satellite (altitude 450 KM), it can only look at one minute region at a time. But because of this we get precise cloud data (Cloudy-Clear distinction, Cloud Height and Cloud Thickness).
Since INSAT-3DR… See the full description on the dataset page: https://huggingface.co/datasets/DebasishDhal99/cloud-vs-temperature-data.google-cloud_github_fetch_huggingface_terminal_6737_bv8nvl1egoogle-cloud_github_fetch_huggingface_terminal_6737_r6981fjcgelbooru-characters-enriched
Gelbooru Characters Enriched
This dataset is an enriched, fully-mapped version of Gelbooru character tags. It contains resolved franchise (copyright) associations and core appearance features (core tags) for 263,441 unique characters.
Dataset Details
The dataset maps the original character list to their corresponding copyrights (franchises) and general core attributes. It was constructed using a multi-stage hybrid extraction pipeline:
Regex Extraction: Extracting… See the full description on the dataset page: https://huggingface.co/datasets/cloud19/gelbooru-characters-enriched.cloud-hosting
Cloud and CDN Adoption Among Large Organizations
Overview
This dataset records which cloud, hosting and CDN providers were detected on the websites of 21,325 large organizations, with firmographic context for each: industry, employee band, country, locality and founding year.
Nineteen providers are covered, each as its own column, because organizations commonly use several at once. 3,259 of them show more than one.
Collected in August 2026. Infrastructure changes… See the full description on the dataset page: https://huggingface.co/datasets/stackscan/cloud-hosting.gelbooru-characters-onlyCloudTrailPatterns
CloudTrailPatterns
tags: data science, cloud services, anomaly detection
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'CloudTrailPatterns' dataset is designed for the purpose of identifying and classifying various patterns of cloud service usage that may indicate anomalies or potential security threats. This dataset is tailored for data science and machine learning applications, particularly in the field of anomaly… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/CloudTrailPatterns.cloud-logscloud_response_time
Dataset Card for Cloud Response Time Measurements (ROM) Dataset
Dataset Details
Exploring Uncertainty of Delays as a Factor in End-to-End Cloud Response Time
Dataset Description
This dataset contains response time measurements for cloud-based services, with an emphasis on examining end-to-end delays in response times. The data includes various metrics such as response time (RT), round-trip time (RTT), request processing time (RPT), and metadata related to… See the full description on the dataset page: https://huggingface.co/datasets/nadaAkel/cloud_response_time.icter-phasor-cloud
Phasor Cloud Dataset
This dataset contains various phasor clouds generated through simulations, stored in .csv format for diverse applications.
Mono Exponential Decay
The data/mono-decay folder contains data created by applying a single exponential decay with Poisson noise added to the signal. The amplitudes and decay times (Tau) vary across the datasets.
Temperature_Humidity_Retrieval_Below_CloudsThis repository provides a sample dataset, trained model checkpoints, and normalization parameters to support reproducibility and easy testing of the code for retrieving planetary boundary layer (PBL) temperature and humidity profiles below clouds using AIRS–MODIS–ERA5 collocated data.
The full dataset used in the study is nearly one hundred gigabytes and cannot be hosted directly.
Therefore, we provide a compact demo dataset (10,000 samples) that preserves the original data structure and… See the full description on the dataset page: https://huggingface.co/datasets/wsxgshqk/Temperature_Humidity_Retrieval_Below_Clouds.wine-log-data