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--- |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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- summarization |
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- question-answering |
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language: |
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- en |
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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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size_categories: |
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- 100K<n<1M |
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--- |
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# 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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## 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 |
