datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
blood-pathology-lims-environment
Blood Pathology LIMS Environment
Blood Pathology LIMS Environment is an open clinical-agent benchmark that places a model inside a simulated hospital Laboratory Information Management System (LIMS). The agent must review pending pathology cases, inspect patient demographics, active medications, lab orders, current and previous lab results, reference ranges, and then submit an ICD-10-coded diagnostic report. The environment is designed to test whether a model can perform… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/blood-pathology-lims-environment.blood-pathology-lims-environment
Blood Pathology LIMS Environment
Blood Pathology LIMS Environment is an open clinical-agent benchmark that places a model inside a simulated hospital Laboratory Information Management System (LIMS). The agent must review pending pathology cases, inspect patient demographics, active medications, lab orders, current and previous lab results, reference ranges, and then submit an ICD-10-coded diagnostic report. The environment is designed to test whether a model can perform… See the full description on the dataset page: https://huggingface.co/datasets/thesisDeath/blood-pathology-lims-environment.Multilingual-Pathology-Fairness
Multilingual-Pathology-Fairness
A comprehensive multilingual medical pathology dataset with fairness attributes and high-quality medical images for evaluating bias in medical AI systems across different languages and patient demographics.
Dataset Description
This dataset contains 949,872 medical pathology cases with:
Questions and answers in 7 languages
High-quality pathology images (0 per sample)
Fairness attributes injected into Q1 questions across all languages… See the full description on the dataset page: https://huggingface.co/datasets/JiayiHe/Multilingual-Pathology-Fairness.pathology-1k
Pathology Medical Dataset — 1,000 Record Free Sample
Enterprise-grade synthetic medical data. Zero PHI. HIPAA-Aligned.
Quality Metrics
Metric
Score
Industry Benchmark
Trinity Consensus Score (TAS)
98.0%
85-92% typical
Trinity Assurance Score (TAS)
0.97
0.75-0.85 typical
Macro F1
0.97
0.80-0.90 typical
PHI Present
None
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Generation Method
3-LLM Trinity Ensemble
Single model typical
What's Included (Free)
1,000… See the full description on the dataset page: https://huggingface.co/datasets/WitnessDataFactory/pathology-1k.