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  - climate
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+ ---
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+
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+ # Dataset Readme: Synthetic-Context-Conversations
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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