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README.md
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size_categories:
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---
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# Dataset Readme: Synthetic-Context-Conversations
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## Overview
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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.
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## Dataset Details
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- **Modalities**: Text
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- **Languages**: English
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- **Size**: 10K-100K
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- **Formats**: Parquet
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- **License**: Apache-2.0
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## Tags
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- Empathetic
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- Context
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- Biology
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- Medical
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- Climate
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- Libraries
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- Datasets
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- pandas
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- Croissant
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## Dataset Structure
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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.
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### Example Conversations
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```json
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[
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{"from": "human", "value": "I've been feeling so sad and overwhelmed lately, work has become such a massive source of stress for me."},
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{"from": "get", "value": "Hey there, I'm here to listen and support you. It sounds like work has been really challenging lately, can..."}
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]
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```
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## Usage
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### Console
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- **Size of downloaded dataset files**: 448 MB
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- **Size of the adis-connected Parquet files**: 210 MB
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- **Number of rows**: 99,086
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