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RMBench data used for independent Mem-0 planner fine-tuning

Four Mn tasks, 50 demonstrations each (200 total), 1244 planning examples: cover_blocks=300, battery_try=150, blocks_ranking_try=346, press_button=448. Includes original HDF5 trajectories and annotations plus the exact derived images/text used for training, with portable image paths relative to the dataset snapshot root.

Most demonstrations originate from https://huggingface.co/datasets/TianxingChen/RMBench (MIT). The 50 blocks_ranking_try demonstrations were locally collected using RMBench, not the incomplete two-episode downloaded subset. They are not claimed to be the exact trajectories used in the paper. provenance.json records this distinction. Original annotations are preserved; derived planning samples use audited RGB handling, corrected cover order, and task-specific temporal boundaries. Ranking merges move-level fragments; repeated button actions are preserved.

planning/<task>/dataset.json contains messages and images. After snapshot_download, resolve each image path as snapshot_root / relative_path before training. Training JSON formatting and image paths were made portable; message text and image bytes are unchanged. raw/<task>/demo_clean/data/ contains HDF5. This is a training set, not the 100-rollout online evaluation set. M1 executor training data was not used locally and is not redistributed as our training data.

Upstream code and data: https://github.com/RoboTwin-Platform/RMBench and https://huggingface.co/datasets/TianxingChen/RMBench . Retain upstream attribution. Dataset image/asset components retain applicable upstream notices.

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