datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
medical-clinical-reasoning-sft-100k
Medical Clinical Reasoning SFT 100K
A synthetic supervised fine-tuning dataset of 100,000 high-quality medical and clinical reasoning conversations designed to train AI assistants capable of supporting clinical decision-making, documentation, and medical education.
Dataset Description
This dataset covers a broad spectrum of clinical practice scenarios across 10 medical specialty categories. Each record follows the ShareGPT conversation format with a detailed human… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/medical-clinical-reasoning-sft-100k.pentabrid-reproducibility
Pentabrid 27B: reproducibility package
Everything required to recompute the results of a controlled evaluation of fine-tuning
configurations for medical question answering. Openly available with no access
restrictions.
Contents
Path
Description
per_item/medxpertqa_*.jsonl
Per-item predictions for all six checkpoints on 2,450 MedXpertQA-Text items. Fields: id, gold, extracted_answer, correct, explicit_marker_present, n_markers, response_chars… See the full description on the dataset page: https://huggingface.co/datasets/Clinical-Reasoning-Hub/pentabrid-reproducibility.clinical-evidence-dependency-graph-reasoning-v0.1
Clinical Multi-Evidence State Integration v0.1
Overview
Clinical Multi-Evidence State Integration v0.1 is a structured clinical-reasoning benchmark designed to test whether an AI system can integrate multiple sequential evidence events into a coherent final clinical state.
The benchmark evaluates more than final-answer classification.
A system must determine:
how each evidence event affects each tracked clinical item;
whether an item should be confirmed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-evidence-dependency-graph-reasoning-v0.1.Diagnostic-Dilemma-Clinical-Reasoningclinical-case-fr-reasoning
Dataset Card for "clinical-case-fr-reasoning"
More Information needed
clinical-authority-reasoning-independence-v0.1Clinical Decision–Constraint Integrity v0.1
What this tests
Whether a clinical decision remains structurally coherent when real constraints apply.
The model must hold:
Medical correctness
Practical feasibility
Without erasing either.
Failure modes
constraint_erasedThe decision ignores or deletes the constraint
false_resolutionThe response pretends the conflict does not exist
coherent_tradeoffThe response names limits and adapts without distortion
How it works
Decision context defines the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-authority-reasoning-independence-v0.1.clinical_diagnostic_reasoning_v3telugu-clinical-math-reasoning-v1clinical_multi_step_diagnostic_reasoning_v1clinical-reasoning-benchmark-v0.2
Clinical Reasoning Benchmark v0.2
This benchmark evaluates clinical reasoning quality under uncertainty.
The focus is not diagnosis.
The focus is whether a model can reason about stability, trajectory, recovery, boundary pressure, and intervention choice.
Included Datasets
Dataset
Capability Domain
clinical-compensation-vs-recovery-v0.2
State Reasoning
clinical-silent-failure-v0.2
Trajectory Reasoning
clinical-escalation-discipline-v0.2
Decision… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-reasoning-benchmark-v0.2.adaption-clinical-case-fr-reasoning
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-clinical_case_fr_reasoning
This dataset contains French-language clinical case studies presented as question-and-answer pairs focused on medical diagnosis, treatment decisions, and pathophysiological reasoning. Each sample includes a specific clinical scenario prompt and a concise completion detailing the likely cause, appropriate therapy, or underlying mechanism. The… See the full description on the dataset page: https://huggingface.co/datasets/Roshang09112007/adaption-clinical-case-fr-reasoning.adaption-clinical-reasoning-cases
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-clinical_reasoning_cases
This dataset contains complex medical case studies presented as prompt-completion pairs covering diverse specialties such as cardiology, oncology, and emergency medicine. Each entry features a detailed patient scenario followed by an expert-level response that outlines diagnostic reasoning, critical management steps, and evidence-based treatment protocols.… See the full description on the dataset page: https://huggingface.co/datasets/Azfarhashmi/adaption-clinical-reasoning-cases.clinical-reasoning-boundary-integrity-v0.1Clinical Reasoning Boundary Integrity v0.1
Purpose
Capture failures where models continue reasoning beyond what clinical evidence supports.
The dataset focuses on boundary discipline in clinical interpretation rather than generic accuracy.
It detects when models:
• extend conclusions past trial endpoints
• generalize beyond studied populations
• overstate safety or efficacy
• continue recommendations after uncertainty
• present speculation as evidence
This is not a correctness dataset.
It is a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-reasoning-boundary-integrity-v0.1.Advanced-Clinical-Case-Reasoningadvanced_clinical_reasoning_with_differential_diagnosis_v2kashmiri_clinical_reasoning_batch_4synthetic-clinical-reasoningRare-Disease-Clinical-ReasoningGeneral-Health-Clinical-Reasoningcomplex_clinical_reasoning_with_multilayer_diagnosis_v3Clinical-Case-Reasoningadaption_clinical_reasoning_v1sanskrit_clinical_reasoning_batch_1adaption-clinical-reasoning-v1kashmiri_clinical_reasoning_batch_2kashmiri_clinical_reasoning_batch_1adaption-clinical-reasoning-cases-v1
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-clinical_reasoning_cases
This dataset contains complex medical case studies presented as prompt-completion pairs covering diverse specialties such as cardiology, oncology, and emergency medicine. Each entry features a detailed patient scenario followed by an expert-level response that outlines diagnostic reasoning, critical management steps, and evidence-based treatment protocols.… See the full description on the dataset page: https://huggingface.co/datasets/Azfarhashmi/adaption-clinical-reasoning-cases-v1.advanced_clinical_reasoning_with_differential_diagnosis1clinical_reasoning_math_v3clinical_math_diagnostic_reasoning_v1.json