MoyYuan/Asymmetricity-2.0
Asymmetricity v2: A Benchmark for Evaluating LLMs on Symmetric and Asymmetric Relation Understanding Asymmetricity v2 is a massive upgrade to the original benchmark dataset, designed to evaluate large language models (LLMs) on their ability to distinguish and reason over symmetric (e.g., borders) and antisymmetric (e.g., parent of) relations in natural language. Now expanded to over 70 million entries, the dataset is derived from Wikidata triples and cast into a natural language… See the full description on the dataset page: https://huggingface.co/datasets/MoyYuan/Asymmetricity-2.0.
| Author / organization | MoyYuan |
|---|---|
| License (as declared) | mit |
| Downloads | 242 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 23 October 2025 |
| Last updated at source | 5 September 2026 |
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