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Publish Ropedia Xperience-10M task baseline cards
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{
"title": "Ropedia Xperience-10M Project Brief",
"summary": "A concise first-reader brief for the public-sample embodied-AI task lab and its multi-episode scale-up path.",
"current_artifacts": [
{
"layer": "Data unit",
"status": "1 public sample episode, 5,821 frames, 1,161 synchronized 20-frame windows"
},
{
"layer": "Modalities",
"status": "Video-derived features, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived features"
},
{
"layer": "Task suite",
"status": "12 embodied-AI task contracts with inputs, targets, metrics, predictions, and case-study walkthroughs"
},
{
"layer": "Models",
"status": "Minimal linear/ridge/logistic baselines plus compact PyTorch MLP heads for the same 12 tasks"
},
{
"layer": "Research map",
"status": "Four Ropedia research directions with direct, proxy, diagnostic, and extension-task coverage"
},
{
"layer": "Scale-up path",
"status": "Qwen3-Omni LoRA code path prepared; full-dataset access is granted and a 128-episode selected relay is being staged"
}
],
"reading_order": [
"Start with the website or PROJECT_BRIEF.md to understand the project shape.",
"Open RESEARCH_ROADMAP.md to see how the work scales from the public sample to multi-episode modeling.",
"Open EVALUATION_PROTOCOL.md before comparing task scores.",
"Use RESEARCH_TAKEAWAYS.md for the current metric interpretation.",
"Inspect results/episode_task_suite/feature_manifest.json to understand one model input.",
"Use results/omni_finetune/DATA_ACCESS_STATUS.md for the multi-episode data status."
],
"scope_boundary": "The public sample is enough to build and verify task definitions, feature contracts, metrics, visualization, and baseline code. It is not enough to measure final model quality for a general embodied-AI model.",
"next_stage": "Run the same contracts on held-out episodes, then fine-tune and evaluate an omni-model with train/test separation at the episode level.",
"entry_points": {
"visual_dashboard": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/",
"hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite",
"artifact_dataset": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts",
"baseline_model_bundle": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines",
"official_xperience10m_dataset": "https://huggingface.co/datasets/ropedia-ai/xperience-10m"
}
}