AppliedLucent/synthetic_conversations
Dataset Summary Synthetic Conversations is a high-quality, multi-turn dialogue dataset designed for fine-tuning Large Language Models (LLMs) to act as advanced, nuanced, and structurally consistent chat assistants. The dataset contains approximately [~16,000] carefully curated conversations generated across 24 distinct topics, ranging from technology and philosophy to conflict resolution and creative storytelling. To achieve a balance of broad world-knowledge and natural… See the full description on the dataset page: https://huggingface.co/datasets/AppliedLucent/synthetic_conversations.
| Author / organization | AppliedLucent |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 189 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 April 2026 |
| Last updated at source | 23 April 2026 |
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- 16 Oct 2026 Description: Dataset Summary Synthetic Conversations is a high-quality, multi-turn dialogue dataset designed for fine-tuning Large Language Models (LLMs) to act as advanced, nuanced, and structurally consistent chat assistants. The dataset contains appr → Dataset Summary Synthetic Conversations is a high-quality, multi-turn dialogue dataset designed for fine-tuning Large Language Models (LLMs) to act as advanced, nuanced, and structurally consistent chat assistants. The dataset contains appr
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