datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
steady-rans-generalization
Steady-RANS cross-family generalization dataset
Data for the paper "Towards generalized flow field prediction: one model across unseen
object families" (under double blind review; this account is anonymous for that reason).
Trained checkpoints and evaluation code are in the companion model repo:
steady-rans-surrogates.
Steady incompressible k-omega SST (OpenFOAM simpleFoam) external flow around 855 distinct
shapes (17 scripted parametric families plus 40 ModelNet object… See the full description on the dataset page: https://huggingface.co/datasets/BlidReview/steady-rans-generalization.Ransomware_PE_Header_Feature_Dataset
Dataset Card for Ransomware PE Header Feature Dataset
Dataset Description
Dataset Summary
This dataset contains PE header features (first 1024 bytes) from 2,157 Windows executable samples, comprising 1,134 legitimate software (goodware) and 1,023 ransomware samples across 25 ransomware families. Each sample is represented by numerical features extracted from the raw PE header.
Supported Tasks
Binary Classification: Distinguish between goodware and… See the full description on the dataset page: https://huggingface.co/datasets/cycloevan/Ransomware_PE_Header_Feature_Dataset.SIDACSinhalaASR-testSinhalaASR-1000ransomware-leak-site-victims
Ransomware leak-site victims
Every victim listing ThreatCluster has collected first-hand from ransomware and extortion leak sites: the group, the named organisation, when it appeared, and the sector and country where known.
Built from the ThreatCluster corpus. 20,627 rows, snapshot generated 2026-09-06.
Fields
Field
Description
group_name
Ransomware or extortion group that published the listing
victim_name
Organisation named by the group
country… See the full description on the dataset page: https://huggingface.co/datasets/threatcluster/ransomware-leak-site-victims.fraud_prediction_300Ksinhala_synthetic_ocr-largeIf you use this data in publications, please cite it as follows:
@misc {ransaka_ravihara_2024,
author = { {Ransaka Ravihara} },
title = { sinhala_synthetic_ocr-large (Revision f3cac3b) },
year = 2024,
url = { https://huggingface.co/datasets/Ransaka/sinhala_synthetic_ocr-large },
doi = { 10.57967/hf/1809 },
publisher = { Hugging Face }
}
africa-healthcare-ransomware
African Healthcare Ransomware Dataset | Africa (original)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-healthcare-ransomware.MJSynth_smallSSOCR-V.1TSINafrica-ransomware-dataset
Ransomware Impact on African SMEs (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-ransomware-dataset.youtube_recommendation_dataDataset licensed under : Creative Commons Attribution (CC BY)
SSOCR-1kafrica-ransomware-as-a-service
Ransomware-as-a-Service Testing Grounds (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-ransomware-as-a-service.aya_sinhala_subsettypo_dataset_syntheticAmazon-Reviews-2023-raw_meta_All_Beautyafrica-mobile-ransomware
Mobile Ransomware (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mobile-ransomware.IAMsinhala-aya-15k-oai-stylesinhala_synthetic_ocraya_sinhala_subset_alpacasinhala-roman-pairskhasi-ner
Khasi Named Entity Recognition Corpus
A named-entity-annotated corpus for the Khasi language, an Austroasiatic
language spoken by approximately 1.6 million people, primarily in the
state of Meghalaya in north-east India. To the best of the authors'
knowledge, this is the first publicly described NER resource for Khasi.
The corpus was constructed as part of the PhD thesis "Machine Learning
based Named Entity Recognition for Khasi Language" by Ransly Hoojon
(North-Eastern Hill… See the full description on the dataset page: https://huggingface.co/datasets/RansMairoi/khasi-ner.sinhala-450M-sample
Dataset Card for "sinhala-450M-sample"
More Information needed
gatechinfo1
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/RansErica/gatechinfo1.sinhala_roman_datasetsinhala_synthetic_ocr-news