license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# EyeUnitDialogues

tags: Conversation, Healthcare, Training

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'EyeUnitDialogues' dataset is a collection of transcribed conversations between patients and nurses, specifically focusing on telephone interactions with the eye unit of a hospital. Each conversation is annotated with a label that signifies the context or nature of the interaction, such as 'inquiry', 'symptom reporting', 'follow-up', 'emergency', and 'routine check-up'. The dataset is intended for training machine learning models to understand and respond to patient queries in a conversational setting.

**CSV Content Preview:**

```csv
id,conversation,label
1,"Patient: Hi, I've been having trouble with my vision lately. Can you help? Nurse: Of course, can you describe your symptoms?",inquiry
2,"Patient: My eyes are red and itchy. Is this something to worry about? Nurse: It sounds like you might have an allergy. Have you tried any allergy medication?",symptom_reporting
3,"Patient: Last time I was here, you mentioned I should come back for a follow-up. What should I expect? Nurse: We'll check on your eye pressure and the effectiveness of your current treatment.",follow-up
4,"Patient: I've been having severe eye pain since yesterday. It's really intense. Nurse: That sounds serious. We need to treat this as an emergency. Please come to the eye unit immediately.",emergency
5,"Patient: I'm here for my routine check-up. Is there anything I need to do beforehand? Nurse: Just make sure you're not wearing contact lenses for the examination. Everything will be fine.",routine_check-up
```

Each row in the CSV contains an ID for the conversation, the text of the conversation itself, and a label that categorizes the nature of the interaction. This labeled data allows for effective training of conversational models to handle different types of patient-nurse interactions within the eye unit context.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=EyeUnitDialogues&tags=Conversation,+Healthcare,+Training
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
