datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
edge-ai-kg
Edge AI Deployment Knowledge Graph
25,152 nodes. 76,306 edges. Boards, kernels and neural networks in one graph — so you can
ask what actually runs on your silicon.
Built with Samyama Graph.
Loader and generator: samyama-ai/edge-ai-kg.
Part real, part synthetic — and every node says which
Every node carries a provenance property ("real" or "synthetic") and a source. No
node is unstamped:
provenance
Nodes
synthetic
23,910
real
1,242
Do not… See the full description on the dataset page: https://huggingface.co/datasets/VaidhyaMegha/edge-ai-kg.neuromorphic_edge_computing_telemetryipulse-ai-batch5-advisor-forecast-panel
iPulse AI Batch 5 Advisor Forecast Panel
This dataset exposes a compact, anonymized panel of production forecasts from iPulse AI, Future Edge Group's Open Agentic Investment Research Platform. It is designed for research on forecast combination, disagreement, correlated errors, regime dependence, and the effective number of independent forecasters.
The release contains seven showcase assets, twelve advisor configurations per asset, quarterly forecast paths extending five years… See the full description on the dataset page: https://huggingface.co/datasets/future-edge-group/ipulse-ai-batch5-advisor-forecast-panel.edges_testHere is the test data of the TruthHypo benchmark (IJCAI 25), which is designed to evaluate the capabilities of LLMs in generating truthful scientific hypothesis. The paper is available at https://arxiv.org/abs/2505.14599.
edges_trainHere is the processed relation data from PubTator used for knowledge-enhanced hypothesis generation in the TruthHypo benchmark (IJCAI 25), which is designed to evaluate the capabilities of LLMs in generating truthful scientific hypothesis. The paper is available at https://arxiv.org/abs/2505.14599.
hetionet-edges
Dataset Card for Hetionet
Dataset Overview
This dataset represents an integrative biomedical knowledge graph, constructed from 29 public resources, encoding relationships between various biomedical entities. It is primarily designed for drug repurposing, treatment prediction, and network-based biomedical research.
Original Data Source: The edge list is derived from the original Hetionet GitHub repository.
Acknowledgment: Full credit goes to the original authors for their… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/hetionet-edges.sequenced_edgesedges-datasetai-5node-edge-buf-lag-cpl-tail-risk-v0.1
What this repo does
This dataset models tail-risk cascades in AI capabilities where rare failures cause high-impact outcomes. It detects when tail-risk pressure rises, safety buffers weaken due to poor edge-case coverage, governance lag delays triage and reproduction, and tight coupling through shared capability reuse propagates rare failures across products, crossing the five-node cascade threshold into an unrecoverable tail-risk cascade.
This dataset models a five-node cascade:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-edge-buf-lag-cpl-tail-risk-v0.1.edges_out_filtered