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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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01PRINCEEMMANUEL /AMAZON_FFR_TVTtext10K<n<100K0 likes51 downloads2y agoHugging Face02ClarusC64 /ffr-anatomy-prediction-discordance-detection-v0.1Goal Detect discordancebetween coronary anatomy complexityand AI-derived FFR accuracyagainst invasive FFR ground truth. This targets silent degradationin specific patient subgroups. Inputs vessel_tortuosity calcification_burden lesion_length_mm segmentation_confidence image_artifact_score ai_ffr_prediction ai_ffr_run_variance model_disagreement invasive_ffr_ground_truth Required outputs discordance_flag discordance_type subgroup_risk_label reliability_drop_score Discordance types Examples:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-anatomy-prediction-discordance-detection-v0.1.tabulartabular-classificationn<1K0 likes32 downloads8mo agoHugging Face03ClarusC64 /ffr-subgroup-failure-surface-routing-v0.1Goal Given a discordance eventroute the correct clinical action. This dataset treats failureas a subgroup surface. Not a single bad prediction. Inputs anatomy complexity metrics image artifact signals AI prediction stability signals invasive FFR ground truth (for labeling) Required outputs failure_subgroup predicted_error_range intervention_route fallback_protocol confidence_score Intervention routes Examples: continue (safe zone) tighten QA thresholds segmentation repair then rerun… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-subgroup-failure-surface-routing-v0.1.tabular-classificationn<1K0 likes29 downloads8mo agoHugging Face04FrancophonIA /FFR [!NOTE] Dataset origin: https://github.com/bonaventuredossou/ffr-v1 Description The authors of the dataset provide a description in the following PDFs: here and here. Citation @inproceedings{emezue-dossou-2020-ffr, title = "{FFR} v1.1: {F}on-{F}rench Neural Machine Translation", author = "Emezue, Chris Chinenye and Dossou, Femi Pancrace Bonaventure", editor = "Cunha, Rossana and Shaikh, Samira and Varis, Erika and Georgi, Ryan… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/FFR.texttranslation10K<n<100K0 likes25 downloads1y agoHugging Face05ClarusC64 /ffr-physiology-prediction-coherence-baseline-mapping-v0.1 Goal Define the baseline coherencebetween AI-derived FFR predictionsand real physiological signals. Signals include: myocardial perfusion wall motion stress test results vital signs This dataset establisheswhat physiologically plausible alignmentlooks like. Without this baselineimplausibility cannot be detected. Required output The model must provide: physiological_coherence_score interpretation of alignment error baseline_label Why this matters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiology-prediction-coherence-baseline-mapping-v0.1.tabulartabular-regressionn<1K0 likes21 downloads8mo agoHugging Face06ClarusC64 /ffr-failure-horizon-intervention-routing-v0.1Dataset goal Forecast when AI-derived FFR reliabilitywill cross a clinical risk threshold. Then route the correct interventionbefore unsafe output enters workflow. Inputs image quality signals model variance and disagreement calibration residuals coherence decay score drift pattern label Required outputs failure_horizon_min intervention_route workflow_fallback expected_safety_gain confidence_score Routes Examples: re-scan protocol segmentation repair then rerun disable output and escalate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-failure-horizon-intervention-routing-v0.1.tabular-classificationn<1K0 likes17 downloads8mo agoHugging Face07ClarusC64 /ffr-coherence-drift-reliability-collapse-detection-v0.1Dataset goal Detect when the correlation between CT image qualityand AI-derived FFR stability starts to break. The output can look plausiblewhile reliability collapses. Inputs snr motion_score segmentation_confidence artifact_score ffr_run_variance model_disagreement calibration_residual Required outputs reliability_collapse_flag instability_onset_min_ahead drift_pattern_label coherence_decay_score collapse_risk_score Labels reliability_collapse_flag 0 = coherent behavior 1 = drift… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-coherence-drift-reliability-collapse-detection-v0.1.tabular-classificationn<1K0 likes14 downloads8mo agoHugging Face08ClarusC64 /ffr-physiological-plausibility-decay-detection-v0.1Goal Detect when an AI-derived FFR valuebecomes physiologically implausiblegiven other modalities. The warning signal is coherence loss.Not a single bad threshold. Inputs ai_ffr_prediction myocardial_perfusion_index wall_motion_score stress_test_result vital signs (heart rate, blood pressure) physiological_coherence_score expected plausibility band Required outputs plausibility_decay_flag decay_type modality_conflict_label plausibility_drop_score Decay types Examples:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiological-plausibility-decay-detection-v0.1.tabulartabular-classificationn<1K0 likes13 downloads8mo agoHugging Face09stepmanai /ffr_chartsgated 🕹️ FFR Charts Dataset Description Revisions Dataset Distribution How to download and use FineVideo Using datasets Using huggingface_hub Load a subset of the dataset Dataset Structure Data Instances Data Fields Dataset Creation License CC-By Considerations for Using the Data Social Impact of Dataset Discussion of Biases Additional Information Credits Future Work Opting out of FineVideo Citation Information Terms of use for FineVideo Description… See the full description on the dataset page: https://huggingface.co/datasets/stepmanai/ffr_charts.tabularfeature-extraction1K<n<10K1 likes12 downloads1y agoHugging Face10ClarusC64 /ffr-physiology-conflict-routing-v0.1Goal Given a physiology conflictroute the correct next step. This is not about proving the AI wrong.It is about preventing a wrong workflow action. Inputs AI-derived FFR perfusion and wall motion signals stress testing result vital signs plausibility decay outputs Required outputs conflict_subgroup predicted_implausibility_risk intervention_route fallback_protocol confidence_score Routes Examples: continue (no conflict) confirm with stress imaging manual cardiology escalation route to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiology-conflict-routing-v0.1.tabular-classificationn<1K0 likes12 downloads8mo agoHugging Face11ClarusC64 /ffr-center-protocol-coherence-baseline-mapping-v0.1Goal Monitor site-specific protocol coherencefor AI-derived FFR systems. This dataset maps whether a hospitalis still operating insidethe model’s validated acquisition envelope. Inputs scanner vendor and model reconstruction kernel slice thickness heart rate control approach contrast protocol signature image quality proxies motion artifact rate signal to noise Required outputs site_coherence_score protocol_deviation_index risk_flag Interpretation site_coherence_scorehow aligned this… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-center-protocol-coherence-baseline-mapping-v0.1.tabulartabular-regressionn<1K0 likes11 downloads8mo agoHugging Face12ClarusC64 /ffr-center-performance-drift-detection-v0.1Goal Detect center-specific performance driftbefore audit failure. This dataset measures coherence decaybetween a site’s acquisition protocoland the model’s known performance baseline. Inputs Site window metrics: protocol signature hash motion artifact rate signal to noise plausibility conflict rate rolling AUC and MAE calibration error shift coherence trend Required outputs drift_type predicted_failure_risk detection_confidence Drift types Examples: none minor protocol shift protocol… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-center-performance-drift-detection-v0.1.tabulartabular-classificationn<1K0 likes8 downloads8mo agoHugging Face13ClarusC64 /ffr-center-failure-surface-routing-v0.1Goal When a center driftsroute the safest operational response. This dataset treats each siteas a failure surface. Not a single bad scan. Inputs Rolling site window metrics: image quality proxies protocol signature rolling performance (AUC, MAE) calibration error shift plausibility conflict rate drift type and risk Required outputs failure_surface_type subgroup_affected intervention_route recalibration_needed protocol_reset_plan escalation_priority confidence_score Failure surfaces… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-center-failure-surface-routing-v0.1.tabulartabular-classificationn<1K0 likes8 downloads8mo agoHugging Face14ClarusC64 /ffr-anatomy-prediction-coherence-baseline-mapping-v0.1 Goal Define the baseline coherencebetween coronary anatomy complexityand AI-derived FFR predictions. This dataset establisheswhere anatomy and predictionnormally align. Without this baselinediscordance cannot be detected. Inputs vessel tortuosity calcification burden lesion length segmentation confidence AI FFR prediction invasive FFR ground truth Required output The model must state: coherence_score prediction_error interpretation… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-anatomy-prediction-coherence-baseline-mapping-v0.1.tabulartabular-regressionn<1K0 likes6 downloads8mo agoHugging Face15ffrx /data0 likes3 downloads3y agoHugging Face16Web3Survivor /Ffrtt0 likes1 downloads9mo agoHugging Face

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