datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dreamt
Dataset Description
DREAMT (Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology) is a dataset designed to facilitate the development and evaluation of machine learning models for sleep stage estimation using data from multisensor wearable devices.
Version: 2.1.0
Repository: PhysioNet: DREAMT v2.1.0
Access Policy & Licensing
Due to the sensitive nature of health data, this dataset is restricted and cannot be downloaded directly without… See the full description on the dataset page: https://huggingface.co/datasets/bsaenz/dreamt.travel-fraud-graphs
TravelFraudBench (TFG)
The first publicly available labeled heterogeneous graph benchmark for GNN-based fraud ring detection in travel networks.
Paper
Dataset Structure
This dataset contains heterogeneous graph data split into 20 named configurations — one per node type and one per edge type — each with small, medium, and large splits.
Loading a specific node or edge table
from datasets import load_dataset
# Load user nodes (medium scale)
users =… See the full description on the dataset page: https://huggingface.co/datasets/bsajja7/travel-fraud-graphs.bsa-2023-dataset