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"title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
"status": "pass",
"version": "2026-06-01",
"generated_at_utc": "2026-06-16T04:47:57+00:00",
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"meaning": "Evaluates whether a model can bind what action is happening to which objects are involved.",
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{
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"minimal_metric_source": "results/episode_task_suite/tier2_task_suite/time_to_transition/metrics.json",
"neural_metric_source": "results/episode_task_suite/tier2_task_suite/neural_mlp/time_to_transition/metrics.json",
"meaning": "Turns boundary detection into a continuous timing estimate for procedural control.",
"task_number": 20,
"suite_label": "Task 20"
}
],
"global_leakage_controls": [
"Use chronological train/test splits instead of random window shuffling.",
"Fit scalers and learned projections on train windows only.",
"Keep future labels, future mocap, contact labels, object labels, and caption labels on the target side unless a task explicitly treats language as the query.",
"For cross-modal tasks, split query-side and candidate-side feature blocks before training and ranking.",
"Report unseen test classes when the chronological split exposes labels absent from the train segment."
],
"current_limitations": [
"Cross-episode generalization for Qwen3-Omni has a first verified diagnostic pilot, but strong model quality is not yet shown.",
"Feature-vector reconstruction is separate from pixel depth, mesh, NeRF, or Gaussian reconstruction.",
"The final verified Qwen3-Omni diagnostic result meets the strict-JSON target, but action/subtask held-out quality remains weak and needs error analysis before larger model-quality claims.",
"Full audio-visual representation learning still needs multi-episode training; the current report includes single-episode audio/no-audio ablations."
],
"scale_up_gate": {
"required_before_next_omni_quality_pilot": [
"selected prepared Xperience-10M episodes",
"held-out episode split with no train/test episode leakage",
"validation samples during training",
"manifest, training metadata, progress logs, metrics, predictions, and run report",
"held-out evaluation on test episodes rather than train windows"
],
"current_status": "verified diagnostic result; strict-JSON quality target met, action/subtask quality still weak",
"evidence": [
"docs/data/omni_finetune_verified_result.json",
"results/omni_finetune/verified_public/"
]
}
}
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