Datasets:
File size: 714 Bytes
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pretty_name: FalseMemBench
license: mit
task_categories:
- text-retrieval
language:
- en
tags:
- retrieval
- memory
- llm-agents
- adversarial
size_categories:
- n<1K
---
# FalseMemBench
This dataset contains adversarial distractor cases for evaluating memory retrieval systems used by LLM agents.
Each case contains:
- a query
- a small candidate corpus
- one or more relevant entry ids
- an adversary type label
The dataset is intended for evaluating retrieval under confusion pressure rather than open-ended generation.
Current adversary types:
- entity swap
- environment swap
- time swap
- state update
- speaker swap
- near-duplicate paraphrase
Current dataset size:
- `573` cases
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