Daniel Paleka
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Update README
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README.md
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WildChat-2k-TypeTopic is a curated subset of single-message user prompts is constructed as follows:
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1. Filter out (using an LLM filter) prompts that:
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2. Deduplicate using `text-embedding-3-large` embeddings.
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3. Classify them into 16 task types and 25 topic categories; and subsample 2000 tasks to preserve representation of all types and categories;
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WildChat-2k-TypeTopic is a curated subset of single-message user prompts is constructed as follows:
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1. Filter out (using an LLM filter) prompts that:
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* are not in English
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* are not meaningful tasks (e.g., random character strings, “hello”)
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* are incomplete (e.g., “Fix this code” with no code provided)
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* are infeasible for text-only LLMs (e.g., “Describe a time when you worked in a team”, “an image of a cat”)
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* are clearly part of multi-turn conversations (e.g., text-based game setups)
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* are more than 800 characters long
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2. Deduplicate using `text-embedding-3-large` embeddings.
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3. Classify them into 16 task types and 25 topic categories; and subsample 2000 tasks to preserve representation of all types and categories;
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