---
dataset_info:
  features:
  - name: patient_id
    dtype: string
  - name: report_text
    dtype: string
  - name: report_length
    dtype: int64
  - name: lvef
    dtype: float32
  - name: lv_dysfunction
    dtype: string
  - name: tr_grade
    dtype: string
  - name: rvsp
    dtype: float32
  - name: la_enlarged
    dtype: bool
  - name: lv_dilated
    dtype: bool
  - name: pericardial_effusion
    dtype: bool
  - name: rwma
    dtype: bool
  splits:
  - name: train
    num_bytes: 1809
    num_examples: 10
  download_size: 5833
  dataset_size: 1809
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
  - echocardiography-reports
  - echo-reports
  - cardiology-reports
  - medical-reports
  - medical-nlp
  - healthcare-ai
  - biomedical-nlp
  - clinical-text
  - cardiovascular-ai
  - document-understanding
---
# Dataset Description

This dataset is a collection of **medical echocardiography (echo) reports**, containing records from **130 patients**, designed to support the development of healthcare AI, clinical NLP, cardiology-focused language models, and medical document understanding systems.

The dataset consists of real-world echocardiography reports that capture cardiac measurements, diagnostic observations, ventricular function assessments, valvular findings, and clinical interpretations generated during cardiac examinations. It is valuable for building AI systems for cardiology report analysis, clinical information extraction, medical text understanding, and healthcare decision-support applications.

## Dataset Specification

```
Patients: 130
Domain: Cardiology
Data Type: Echocardiography Reports
Language: English
Modality: Clinical Text
Nature: Real-world Clinical Data
```

## Key Use Cases

```
Medical NLP
Cardiology Report Analysis
Clinical Document Understanding
Information Extraction
Medical Report Summarization
Healthcare AI
Clinical Decision Support
Biomedical Language Model Training
Medical Question Answering
```

## Value of This Dataset

```
Supports development of cardiology-focused AI systems
Improves clinical text understanding
Enables automated information extraction from echo reports
Facilitates medical document analysis and summarization
Helps train healthcare NLP and LLM applications
```

**Basic JSON Schema**
```json
{
  "patient_id": "string",
  "report_text": "string",
  "report_length": "int64",
  "lvef": "float32",
  "lv_dysfunction": "string",
  "tr_grade": "string",
  "rvsp": "float32",
  "la_enlarged": "bool",
  "lv_dilated": "bool",
  "pericardial_effusion": "bool",
  "rwma": "bool"
}
```

**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](https://infobay.ai/) or contact us directly.

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