---
license: apache-2.0
task_categories:
- text-generation
- summarization
- question-answering
language:
- en
tags:
- Empathetic
- Context
- biology
- medical
- climate
size_categories:
- 100K<n<1M
---

# Synthetic-Context-Conversations

## Overview
The **Synthetic-Context-Conversations** dataset is a collection of synthetic conversations designed to simulate empathetic and context-rich dialogues. It is particularly useful for tasks such as text generation, summarization, and question answering. The dataset is available in English and contains between 10,000 to 100,000 entries.

## Dataset Details
- **Modalities**: Text
- **Languages**: English
- **Size**: 10K-100K
- **Formats**: Parquet
- **License**: Apache-2.0

## Dataset Structure
The dataset is split into a single training set with 99,086 rows. Each row contains a conversation between a human and an AI, focusing on various emotional and contextual topics.

### Example Conversations
```json
[
  {"from": "human", "value": "I've been feeling so sad and overwhelmed lately, work has become such a massive source of stress for me."},
  {"from": "get", "value": "Hey there, I'm here to listen and support you. It sounds like work has been really challenging lately, can..."}
]
```

## Usage
### Console
- **Size of downloaded dataset files**: 448 MB
- **Size of the adis-connected Parquet files**: 210 MB
- **Number of rows**: 99,086