Pathology Reports for Clinical NLP, 44,868 Patient Records

A large-scale collection of 44,868 real-world clinical pathology reports and corresponding images from InfoBayAI, designed to support healthcare AI development. The reports capture diagnostic findings, specimen descriptions, and pathological observations. The dataset was last updated on June 3, 2026.

Use Cases

• Train information extraction models based on diagnostic findings mentioned in the description.
• Develop clinical decision-support systems based on pathological observations described in the reports.
• Build document understanding models for pathology report images referenced in the dataset.
• Fine-tune medical NLP models for tasks like entity recognition based on the clinical text content.

Strengths

• Contains data from 44,868 patients, providing a substantial scale for model training.
• Includes 44,868 pathology report images, offering a multimodal resource for document analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-06-03 10:50:23; freshness should be verified.

Provenance

Source

InfoBayAI via Hugging Face.

Collection Method

Collection of real-world clinical pathology reports, likely from medical institutions.

Freshness

Last updated 2026-06-03 10:50:23.