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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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01merve /roadsign-judged-ensemble-agree1 Box-overlay preview Auto-generated sample of the labelled boxes (with judge scores when available). Regenerated on every push. image1K<n<10K0 likes121 downloads3mo agoHugging Face02caiovicentino1 /openinterp-45-inference-ensemble nb45 — Inference-Time Multi-Probe Ensemble (FG + RG fusion) Headline result: combining FabricationGuard + ReasonGuard at inference time — applied to base Qwen3.6-27B with no retraining — produces +6.7 percentage points AUROC over the best single probe in detecting incorrect answers, at 0.18 ms total inference overhead per generation (Path A, vLLM streaming) or 148 ms (Path B, post-generation capture). This validates the ProbePack product angle: ship probe ensembles as middleware… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/openinterp-45-inference-ensemble.imagen<1K1 likes71 downloads5mo agoHugging Face03merve /docvqa-media-judged-ensemble Box-overlay preview Auto-generated sample of the labelled boxes (with judge scores when available). Regenerated on every push. image1K<n<10K0 likes57 downloads3mo agoHugging Face04merve /docvqa-media3-judged-ensemble-v2-agree1 Box-overlay preview Auto-generated sample of the labelled boxes (with judge scores when available). Regenerated on every push. image1K<n<10K0 likes48 downloads3mo agoHugging Face05merve /roadsign-judged-ensemble-agree2 Box-overlay preview Auto-generated sample of the labelled boxes (with judge scores when available). Regenerated on every push. image1K<n<10K0 likes39 downloads3mo agoHugging Face06merve /docvqa-media3-judged-ensemble-v2 Box-overlay preview Auto-generated sample of the labelled boxes (with judge scores when available). Regenerated on every push. image1K<n<10K0 likes28 downloads3mo agoHugging Face07merve /roadsign-judged-ensemble-agree2-trainreadyimage1K<n<10K0 likes14 downloads3mo agoHugging Face08merve /roadsign-judged-ensemble-agree1-trainreadyimage1K<n<10K0 likes12 downloads3mo agoHugging Face09Abeyankar /test8k_ensembleimagen<1K0 likes10 downloads1y agoHugging Face10SitPaing /RadiantCoils_Ensembleimage1K<n<10K0 likes10 downloads4mo agoHugging Face11Abeyankar /test8k_ensemble2 Dataset Card for fisheye8k_ensemble_mapped This is a FiftyOne dataset with 8000 samples. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo from fiftyone.utils.huggingface import load_from_hub # Load the dataset # Note: other available arguments include 'max_samples', etc dataset = load_from_hub("Abeyankar/test8k_ensemble2") # Launch the App session = fo.launch_app(dataset) Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Abeyankar/test8k_ensemble2.imageobject-detectionn<1K0 likes8 downloads1y agoHugging Face12BahaaEldin0 /ensembleModelsInference_dls_dataset_sampleimagen<1K0 likes6 downloads2y agoHugging Face13Jesayyy /unet-ensemble-datasetimage10K<n<100K0 likes2 downloads6mo agoHugging Face14xgemstarx /ensemble_outsgatedimage0 likes1 downloads2y agoHugging Face

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