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_v1adaption-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.Advanced-Clinical-Case-Reasoningkashmiri_clinical_reasoning_batch_4Rare-Disease-Clinical-ReasoningGeneral-Health-Clinical-ReasoningClinical-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.clinical_reasoning_math_v3clinical_math_diagnostic_reasoning_v1.jsonclinical_diagnostic_reasoning_v1ruralmed-telen-clinical-reasoning-chatskashmiri_clinical_reasoning_batch_3complex_multihop_clinical_reasoning_v5advanced_clinical_multistep_reasoning_dataset_v6high_density_clinical_reasoning_micro_v1