datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-cross-modal-memory-fidelity-v0.1Clinical Cross-Modal Memory Fidelity v0.1
Goal
Test whether prior image evidence is recalled accurately over time
Detect retroactive distortion driven by later narrative
Detect fabrication used to patch memory gaps
What it measures
memory_driftEarlier image facts are altered or inverted
fabricationNew findings are invented at recall
cross_modal_consistencyRecalled description matches original image evidence
How it works
Initial image facts are fixed and explicit
Intervening tasks… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-cross-modal-memory-fidelity-v0.1.ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1
What this repo does
This dataset models memory poisoning in AI agent systems. It detects when memory pressure, weakened validation buffer, governance lag in review, and tight coupling through shared state cross the five-node cascade threshold into an unrecoverable memory poisoning cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition from recoverable drift to systemic… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-mem-buf-lag-cpl-memory-poisoning-v0.1.clinical-cross-modal-memory-fidelity-v0.2
Clinical Cross Modal Memory Fidelity v0.2
What this is
A small dataset that tests one question:
Can you detect when a clinical system is moving toward cross-modal memory fidelity failure, not just carrying ambiguity?
This repo focuses on the integrity between cross-modal evidence and memory fidelity.
It models a system where:
cross-modal alignment may weaken
memory trace fidelity may drift
recall distortion may rise
representational stability may erode before overt… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-cross-modal-memory-fidelity-v0.2.MemoryVaccine120The Memory Vaccine Dataset is a collection of attack examples and corresponding mitigation strategies designed to enhance the security and resilience of AI agents against memory-based attacks. It serves as a knowledge base for training AI agents to recognize and respond to various threats that exploit their memory or past experiences.
Key Features:
Diverse Attack Types: The dataset covers a wide range of attack types, including prompt injection, data poisoning, social engineering, privilege… See the full description on the dataset page: https://huggingface.co/datasets/TuringsSolutions/MemoryVaccine120.student-memory-logs
Student Memory Logs Dataset
This dataset contains the 220 million MaiMemo student memory behavior logs used in experiments by Junyao Ye, Jingyong Su, & Yilong Cao (2022). For more details and replication source code, visit: https://github.com/maimemo/SSP-MMC and https://github.com/maimemo/SSP-MMC-Plus.
Related papers:
Junyao Ye, Jingyong Su, and Yilong Cao. 2022. A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling. In Proceedings of the 28th ACM… See the full description on the dataset page: https://huggingface.co/datasets/Maimemo/student-memory-logs.humanoid-long-horizon-intent-memory
Long-Horizon Intent Memory
Captures how humanoids retain and adapt to long-term human goals.
SynteticPersonaChatmemory_emotion_dataset