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01ClarusC64 /clinical-regulatory-evidence-correspondence-v0.1 What this dataset tests Regulatory claims must map to evidence scope. Population boundaries matter. Why it exists Regulatory language can drift. Indications expand. Subgroups disappear. This set detects when claims exceed the evidence base. Data format Each row contains evidence_base regulatory_claim correspondence_pressure constraints failure_modes_to_avoid target_behaviors gold_checklist Feed the model evidence_base regulatory_claim Score… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-regulatory-evidence-correspondence-v0.1.texttext-classificationn<1K0 likes24 downloads8mo agoHugging Face02ClarusC64 /clinical-guideline-strength-correspondence-v0.1 What this dataset tests Guideline strength must track evidence strength. Authority must not exceed data. Why it exists Guidelines often harden too early. Language outruns certainty. This set checks whether recommendation force matches evidence quality. Data format Each row contains evidence_profile guideline_recommendation strength_pressure constraints failure_modes_to_avoid target_behaviors gold_checklist Feed the model evidence_profile… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-guideline-strength-correspondence-v0.1.texttext-classificationn<1K0 likes24 downloads8mo agoHugging Face03montioctober /Real_World_Written_German_Correspondence_Echter_deutscher_Schriftverkehrdocumentn<1K0 likes12 downloads5mo agoHugging Face04Lots-of-LoRAs /task281_points_of_correspondence Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task281_points_of_correspondence Additional Information Citation Information The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task281_points_of_correspondence.texttext-generation1K<n<10K0 likes8 downloads2y agoHugging Face05cheryyunl /momagraph_correspondenceimagen<1K0 likes8 downloads1y agoHugging Face06supergoose /flan_combined_task281_points_of_correspondencetext1K<n<10K0 likes4 downloads2y agoHugging Face

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