# Xperience-10M 128-Episode Metadata-Balanced Selection This is a download plan, not a trained model result. It uses Hugging Face file metadata only and downloads no raw episode data. ## Why This Selection - Use only complete episodes: `annotation.hdf5` plus six MP4 streams. - Exclude `visualization.rrd` from the training download plan. - Avoid tiny annotation outliers that are likely one-segment examples. - Use one episode per top-level session to reduce leakage and overfitting to one capture session. - Balance across four annotation-size bands as a proxy for duration/content richness before category labels are available. - Split by session into train/val/test. ## Selection Summary | Measure | Value | | --- | --- | | Selected episodes | 128 | | Unique sessions | 128 | | Split counts | {"test": 16, "train": 96, "val": 16} | | Size-band counts | {"long": 32, "lower_mid": 32, "short": 32, "upper_mid": 32} | | Estimated training download, no RRD | 277.71 GiB | | Estimated annotation bytes | 226.53 GiB | | Estimated windows at 256/episode | 32768 | | Session leakage train/val | 0 | | Session leakage train/test | 0 | | Session leakage val/test | 0 | ## Filters | Rule | Value | | --- | --- | | Available complete episodes | 12102 | | Candidates after filters | 11478 | | Minimum annotation size | 992.76 MiB | | Minimum training size | 1.22 GiB | | Rejected counts | {"annotation_too_small": 606, "training_too_small": 18} | ## Split x Size Band | Split | short | lower_mid | upper_mid | long | | --- | --- | --- | --- | --- | | train | 24 | 24 | 24 | 24 | | val | 4 | 4 | 4 | 4 | | test | 4 | 4 | 4 | 4 | ## Important Limitation HF metadata does not expose semantic content categories. This selection is the best first-pass balance before downloading. After the selected annotations are staged, parse `Main Task`, `Sub Task`, `Current Action`, objects, and interaction text; then swap episodes if one content cluster dominates. ## Output Files - JSON: `results/omni_finetune/xperience10m_128_episode_selection.json` - CSV: `results/omni_finetune/xperience10m_128_episode_selection.csv` - Download file list: `results/omni_finetune/xperience10m_128_episode_download_files.txt`