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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01VaidhyaMegha /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.tabular10K<n<100K0 likes184 downloads27d agoHugging Face02Shoriful025 /neuromorphic_edge_computing_telemetrytabularn<1K0 likes58 downloads8mo agoHugging Face03future-edge-group /ipulse-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.tabular1K<n<10K0 likes39 downloads1mo agoHugging Face04SuodhanJ6 /elliptic_txs_edgelisttabular100K<n<1M0 likes29 downloads3y agoHugging Face05beloiual /sequenced_edgestabularn<1K0 likes10 downloads2y agoHugging Face06ClarusC64 /ai-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.tabulartext-classificationn<1K0 likes6 downloads7mo agoHugging Face07beloiual /edges_out_filteredtabularn<1K0 likes5 downloads2y agoHugging Face

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