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Lmsys-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
- Palmik 3y agoFigure 3 is interesting, it's topic distribution of 100K sampled conversations: Cluster 1: Discussing software errors and solutions Cluster 2: Inquiries about AI tools, software design, and programming Cluster 3: Geography, travel, and global cultural inquiries Cluster 4: Requests for summarizing and elaborating texts Cluster 5: Creating and improving business strategies and products Cluster 6: Requests for Python coding assistance and examples Cluster 7: Requests for text translation, rewriting, and summarization Cluster 8: Role-playing various characters in conversations Cluster 9: Requests for explicit and erotic storytelling Cluster 10: Answering questions based on passages Cluster 11: Discussing and describing various characters Cluster 12: Generating brief sentences for various job roles Cluster 13: Role-playing and capabilities of AI chatbots Cluster 14: Requesting introductions for various chemical companies Cluster 15: Explicit sexual fantasies and role-playing scenarios Cluster 16: Generating and interpreting SQL queries from data Cluster 17: Discussing toxic behavior across different identities Cluster 18: Requests for Python coding examples and outputs Cluster 19: Determining factual consistency in document summaries Cluster 20: Inquiries about specific plant growth conditions