Dataset · Hugging Face

meme-benchmark/MEME

Name: MEME
Creator: meme-benchmark
License: cc-by-4.0
Keywords: task_categories:question-answering, language:en, license:cc-by-4.0, size_categories:n<1K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, llm-agents, memory, benchmark

MEME: Multi-Entity and Evolving Memory Evaluation A benchmark for evaluating LLM memory systems along two orthogonal dimensions: entity scope (single vs. multi-entity) and temporal dynamics (static vs. evolving). MEME defines six tasks targeting memory-intensive operations in each quadrant, including two task types that no prior benchmark covers: Cascade (propagating updates through dependency rules) and Absence (recognizing uncertainty when a previously valid answer becomes… See the full description on the dataset page: https://huggingface.co/datasets/meme-benchmark/MEME.

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Author / organization	meme-benchmark
License (as declared)	cc-by-4.0
Downloads	327 (as reported by Hugging Face)
Likes	5
Created	29 April 2026
Last updated at source	29 April 2026

llm-agentsmemorybenchmarklong-term-memorydependency-reasoning

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