InfoBayAI/pathology_reports_clinical_nlp

Dataset Description:

This dataset is a large-scale collection of clinical pathology reports, designed to support the development of advanced clinical NLP systems and healthcare AI models focused on normal baseline learning.

The dataset captures authentic variations in reporting styles, diagnostic terminology, and clinical language used in pathology reporting, along with both structured and unstructured textual narratives. This makes it highly valuable for building accurate and scalable clinical NLP systems. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, enabling models to better understand normal clinical reports and reduce false positives in downstream diagnostic tasks.

Key Use Cases

-Medical text understanding and extraction
-Named entity recognition (NER) in pathology reports
-Pathology report generation
-Model validation and calibration
-False positive reduction in diagnostic systems

Dataset Specification

-Modality: Clinical pathology reports
-Type: Reports without abnormal findings
-Data Source: Pathology laboratories
-Data Nature: Real-world clinical data
-Patients: 35,894

Value of This Dataset

-Enables learning of normal clinical language patterns
-Improves NLP model specificity and reduces false positives
-Supports text classification and information extraction tasks
-Essential for anomaly detection in clinical reports
-Helps build clinically safe and reliable NLP systems
-Supports real-world healthcare AI applications

Basic JSON Schema

{
  "report_id": "string",        
  "patient_id": "string",        
  "age": "int64",               
  "sex": "string",                
  "report_text": "string",        
  "diagnosis": "string",        
  "test_type": "string",        
  "report_date": "string",      
  "is_normal": "boolean"        
}

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.

-Ph: (91) 8303174762
-Email: vipul@infobay.ai