anonymous-release-username/

OmniMemBench

data/ — 103 benchmark samples, each with 128K/256K/512K/1M token tiers

Use the download script in the code repo: python download_data.py

Each data/{run_id}/benchmark_{tier}.json contains:

character_profile: persona and conversation style multi_session_dialogues: multi-session conversation history with multimodal references QAs: evaluation questions with ground truth answers, evidence chains, and clues… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-release-username/OmniMemBench.