agentlans/prompt-difficulty
Prompt Difficulty Assessment Prompt difficulty plays a critical role in the performance of large language models (LLMs). Assessing this difficulty is essential for selecting training examples, evaluating model capabilities, and optimizing routing and reasoning strategies. Yet, no standardized framework exists for comparing prompt difficulty across domains. This report proposes a method to quantify prompt difficulty using multiple LLMs and introduces a composite difficulty score… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/prompt-difficulty.
| Author / organization | agentlans |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 202 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 December 2025 |
| Last updated at source | 12 December 2025 |
Recent changes
- 16 Oct 2026 Description: Prompt Difficulty Assessment Prompt difficulty plays a critical role in the performance of large language models (LLMs). Assessing this difficulty is essential for selecting training examples, evaluating model capabilities, and optimizing r → Prompt Difficulty Assessment Prompt difficulty plays a critical role in the performance of large language models (LLMs). Assessing this difficulty is essential for selecting training examples, evaluating model capabilities, and optimizing r
Changes detected by Silytics between refreshes of the source.
More from agentlans
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.