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01ClarusC64 /clinical_necessity_vs_noise_classification_v0.1Clinical Necessity vs Noise Classification PurposeIdentify the single necessary clinical action and suppress noise actions. Input patient_summary candidate_actions OutputReturn only the necessary action. What this tests Prioritization Avoidance of unnecessary intervention Clinical signal detection Safe minimal decision making Scoring Exact match accuracy Token similarity Combined final score Run scoring python scorer.py --predictions predictions.jsonl --test_csv… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical_necessity_vs_noise_classification_v0.1.texttext-classificationn<1K0 likes26 downloads8mo agoHugging Face02ClarusC64 /clinical-quad-central-lab-change-assay-drift-biomarker-noise-endpoint-misclassification-v0.1Clinical Quad Central Lab Change Assay Drift Biomarker Noise Endpoint Misclassification v0.1 Each row is a lab monthly snapshot. Core quad Central lab changeAssay driftBiomarker noiseEndpoint misclassification Target label_primary_fail_next_90d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT tabulartext-classificationn<1K0 likes15 downloads7mo agoHugging Face03ClarusC64 /clinical-quad-batch-potency-exposure-variance-outcome-noise-v0.1Clinical Quad Batch Potency Exposure Variance Outcome Noise v0.1 Each row is a patient snapshot tied to manufacturing batch. Core quad Batch potencyStorage conditionsExposure varianceOutcome noise Target label_signal_loss_next_30d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT tabulartext-classificationn<1K0 likes12 downloads7mo agoHugging Face04ClarusC64 /clinical-quad-device-change-measurement-drift-training-variance-endpoint-noise-v0.1Clinical Quad Device Change Measurement Drift Training Variance Endpoint Noise v0.1 Each row is a site monthly snapshot. Core quad Device changeMeasurement driftTraining varianceEndpoint noise Target label_primary_fail_next_90d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT This dataset identifies a measurable coupling pattern associated with systemic instability. The sample demonstrates the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-device-change-measurement-drift-training-variance-endpoint-noise-v0.1.tabulartext-classificationn<1K0 likes11 downloads7mo agoHugging Face05ClarusC64 /clinical-quad-ae-signal-background-noise-reporting-lag-causality-bias-v0.1Clinical Quad AE Noise Lag Attribution Bias v0.1 Each row is a site week safety snapshot. Core quad AE signal rateBackground noise rateReporting lagAttribution bias Target label_stop_signal_next_30d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT tabulartext-classificationn<1K0 likes6 downloads7mo agoHugging Face06ClarusC64 /necessity_vs_noise_classifier_v01These are the classification labels: expected_action What the model must do answer Provide the answer clarify Request missing parameters or boundaries reject Ethically refuse or safety block no_response Recognize that silence is the correct output dataset_name: necessity_vs_noise_classifier_v01 pretty_name: Necessity vs Noise Classifier (v0.1) license: mit tags: - instruction-boundary - clarify-vs-answer - silence-intelligence - epistemic-reformulation - clarus… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/necessity_vs_noise_classifier_v01.textn<1K0 likes5 downloads9mo agoHugging Face07ClarusC64 /clinical-quad-manufacturing-scaleup-batch-variability-potency-drift-clinical-response-noise-v0.1Clinical Quad Manufacturing Scale Up Batch Variability Potency Drift Clinical Response Noise v0.1 Each row is a batch monthly snapshot. Core quad Manufacturing scale upBatch variabilityPotency driftClinical response noise Target label_phase3_fail_risk_next_90d Files data/train.csvdata/tester.csvscorer.py Evaluation Run model on data/tester.csvReturn predictions row alignedScore with scorer.py License MIT This dataset identifies a measurable coupling pattern associated with systemic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-manufacturing-scaleup-batch-variability-potency-drift-clinical-response-noise-v0.1.tabulartext-classificationn<1K0 likes5 downloads7mo agoHugging Face08idakam /311-nyc-noise-complaintstabular1M<n<10M0 likes2 downloads7mo agoHugging Face09HaninZ /joefox_LibriSpeech_test_noise_test_embeddingstext1K<n<10K0 likes1 downloads2y agoHugging Face

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