Duguce/TurtleBench1.5k
Overview TurtleBench is a novel evaluation benchmark designed to assess the reasoning capabilities of large language models (LLMs) using yes/no puzzles (commonly known as "Turtle Soup puzzles"). This dataset is constructed based on user guesses collected from our online Turtle Soup Puzzle platform, providing a dynamic and interactive means of evaluation. Unlike traditional static evaluation benchmarks, TurtleBench focuses on testing models in interactive settings to better… See the full description on the dataset page: https://huggingface.co/datasets/Duguce/TurtleBench1.5k.
| Author / organization | Duguce |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 209 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 4 October 2024 |
| Last updated at source | 30 October 2024 |
Recent changes
- 16 Oct 2026 Description: Overview TurtleBench is a novel evaluation benchmark designed to assess the reasoning capabilities of large language models (LLMs) using yes/no puzzles (commonly known as "Turtle Soup puzzles"). This dataset is constructed based on user gue → Overview TurtleBench is a novel evaluation benchmark designed to assess the reasoning capabilities of large language models (LLMs) using yes/no puzzles (commonly known as "Turtle Soup puzzles"). This dataset is constructed based on user gue
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