| { |
| "title": "Ropedia Xperience-10M Task Suite Project Status", |
| "version": "2026-06-01", |
| "decision": "public_sample_pipeline_verified_qwen3_omni_validation_aware_diagnostic_pilot", |
| "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, and uses the selected-episode Qwen3-Omni validation-aware diagnostic pilot as a verified but weak cross-episode baseline.", |
| "scope_boundary": { |
| "validated_episode_count": 1, |
| "aligned_frames": 5821, |
| "sliding_windows": 1161, |
| "current_feature_dimensions": 8546, |
| "core_task_count": 12, |
| "neural_head_count": 12, |
| "direction_extension_probe_count": 4, |
| "audio_featurized": true, |
| "raw_xperience10m_data_redistributed": false, |
| "qwen3_omni_32_episode_claim": false, |
| "qwen3_omni_verified_diagnostic_pilot": true, |
| "qwen3_omni_selected_episode_counts": { |
| "train": 96, |
| "val": 16, |
| "test": 16 |
| }, |
| "qwen3_omni_exported_window_counts": { |
| "train": 2848, |
| "val": 512, |
| "test": 448 |
| }, |
| "qwen3_omni_json_validity_rate": 0.875, |
| "qwen3_omni_validation_aware": true, |
| "multi_episode_128_aligned_baselines": true, |
| "multi_episode_128_baseline_window_counts": { |
| "train": 2848, |
| "val": 512, |
| "test": 448 |
| }, |
| "multi_episode_128_baseline_task_count": 12 |
| }, |
| "rows": [ |
| { |
| "area": "Public-sample pipeline", |
| "status": "verified", |
| "evidence": [ |
| "results/episode_task_suite/summary_report.json", |
| "results/episode_task_suite/windows.csv", |
| "results/episode_task_suite/feature_manifest.json" |
| ], |
| "readout": "One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional representation for repeatable task evaluation." |
| }, |
| { |
| "area": "Task suite", |
| "status": "verified", |
| "evidence": [ |
| "scripts/episode_task_suite.py", |
| "results/episode_task_suite/", |
| "docs/data/summary_metrics.json" |
| ], |
| "readout": "All 12 task contracts have committed metrics, predictions, and minimal baseline outputs." |
| }, |
| { |
| "area": "Neural heads", |
| "status": "verified", |
| "evidence": [ |
| "scripts/neural_task_models.py", |
| "results/episode_task_suite/neural_mlp/" |
| ], |
| "readout": "Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split." |
| }, |
| { |
| "area": "Audio contribution study", |
| "status": "verified", |
| "evidence": [ |
| "scripts/audio_ablation_and_raw_upgrade.py", |
| "results/audio_ablation/", |
| "docs/data/audio_ablation_summary.json" |
| ], |
| "readout": "Audio variants improve the primary metric on 6 of 12 task contracts in this single-episode setting." |
| }, |
| { |
| "area": "Evaluation protocol", |
| "status": "verified", |
| "evidence": [ |
| "EVALUATION_PROTOCOL.md", |
| "docs/data/evaluation_protocol.json", |
| "scripts/build_evaluation_protocol.py" |
| ], |
| "readout": "Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts." |
| }, |
| { |
| "area": "Research takeaways", |
| "status": "verified", |
| "evidence": [ |
| "RESEARCH_TAKEAWAYS.md", |
| "docs/data/research_takeaways.json", |
| "scripts/build_research_takeaways.py" |
| ], |
| "readout": "The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes." |
| }, |
| { |
| "area": "Research roadmap", |
| "status": "current", |
| "evidence": [ |
| "RESEARCH_ROADMAP.md", |
| "docs/data/research_roadmap.json" |
| ], |
| "readout": "The roadmap connects public-sample task development to the verified Qwen3-Omni diagnostic pilot, validation-aware diagnostics, foundation-model selection, robustness runs, world/policy branches, and the future Xperience-native pretraining goal." |
| }, |
| { |
| "area": "Foundation-model plan", |
| "status": "current", |
| "evidence": [ |
| "FOUNDATION_MODEL_PLAN.md", |
| "docs/data/foundation_model_plan.json" |
| ], |
| "readout": "Qwen3-Omni remains the first trainable held-out LoRA baseline; Cosmos 3 is added as the first world-model/action-generation branch; OpenVLA/openpi/GR00T are policy candidates after action targets are explicit." |
| }, |
| { |
| "area": "Omni model extension contract", |
| "status": "current", |
| "evidence": [ |
| "OMNI_MODEL_EXTENSION_CONTRACT.md", |
| "configs/omni_backbones/", |
| "scripts/omni/backbone_registry.py", |
| "scripts/omni/smoke_test_backbone_packaging.py" |
| ], |
| "readout": "Future Qwen, Cosmos-style, and VLA/policy branches must keep the same episode split discipline, held-out metrics, validation gate, public-safe package contract, and explicit forbidden-artifact policy before reporting results." |
| }, |
| { |
| "area": "Xperience Embodied Foundation Model", |
| "status": "future_goal", |
| "evidence": [ |
| "XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md" |
| ], |
| "readout": "A future full-corpus pretraining plan describes target modules, objectives, staged scale-up, hardware ranges, and evaluation for a domain-specific embodied foundation model." |
| }, |
| { |
| "area": "Official dataset wording", |
| "status": "verified", |
| "evidence": [ |
| "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md", |
| "docs/data/xperience10m_dataset_card_alignment.json" |
| ], |
| "readout": "Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage." |
| }, |
| { |
| "area": "Source alignment", |
| "status": "verified", |
| "evidence": [ |
| "SOURCE_ALIGNMENT_AUDIT.md", |
| "docs/data/source_alignment_audit.json", |
| "scripts/validate_source_alignment.py" |
| ], |
| "readout": "Source facts, sample details, API-listing notes, and project coverage are checked across repo docs, website, and HF cards." |
| }, |
| { |
| "area": "Website and HF mirrors", |
| "status": "verified", |
| "evidence": [ |
| "docs/data/website_integrity.json", |
| "docs/data/mirror_parity.json", |
| "docs/data/live_publication_status.json" |
| ], |
| "readout": "Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been checked after upload." |
| }, |
| { |
| "area": "Publication package", |
| "status": "verified", |
| "evidence": [ |
| "docs/data/publication_audit.json", |
| "QUALITY_GATES.md", |
| "docs/data/quality_gates.json" |
| ], |
| "readout": "Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, credential-text checks, and current presentation assets." |
| }, |
| { |
| "area": "Reproducibility", |
| "status": "verified_for_public_sample", |
| "evidence": [ |
| "REPRODUCIBILITY.md", |
| "docs/data/reproducibility_matrix.json", |
| "notes/reproducibility_audit.md" |
| ], |
| "readout": "The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence." |
| }, |
| { |
| "area": "128-episode aligned baselines", |
| "status": "verified_companion_result", |
| "evidence": [ |
| "results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md", |
| "results/omni_finetune/multi_episode_128_task_baselines/summary_report.json", |
| "scripts/omni/run_128_task_baselines.py" |
| ], |
| "readout": "The earlier simple and neural baseline framing is aligned to the selected 96/16/16 episode split used by the Qwen3-Omni pilot. JSON-supported tasks have metadata/text simple and neural MLP metrics; raw-feature-only tasks are explicitly marked unsupported until 128-run sensor feature blocks are available." |
| }, |
| { |
| "area": "Qwen3-Omni fine-tuning", |
| "status": "verified_validation_aware_diagnostic_pilot_quality_target_not_met", |
| "evidence": [ |
| "docs/data/omni_finetune_verified_result.json", |
| "results/omni_finetune/verified_public/", |
| "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/", |
| "scripts/omni/package_verified_omni_result.py", |
| "scripts/omni/audit_verified_omni_package.py", |
| "scripts/omni/analyze_qwen3_omni_errors.py" |
| ], |
| "readout": "The selected 96/16/16 episode split produced a validation-aware public-safe held-out package with 3,808 exported windows, 512 validation windows, 448 test predictions, and derived error-analysis tables by episode, action family, train-seen status, required-modality state, and object category. JSON validity is 87.50%, below the 98% target, so it is a diagnostic baseline but not a strong model-quality result." |
| }, |
| { |
| "area": "Raw Xperience-10M redistribution", |
| "status": "not_included", |
| "evidence": [ |
| "DATA_NOTICE.md", |
| "docs/data/publication_audit.json" |
| ], |
| "readout": "Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded." |
| } |
| ], |
| "fast_research_route": [ |
| "Read PROJECT_STATUS.md and EVIDENCE_CONTRACT.md to establish what is implemented.", |
| "Open docs/data/project_packet.json for the machine-readable project path.", |
| "Inspect RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json before interpreting model scores.", |
| "Inspect RESEARCH_ROADMAP.md and docs/data/research_roadmap.json for the path from public-sample task work to multi-episode modeling.", |
| "Inspect FOUNDATION_MODEL_PLAN.md and docs/data/foundation_model_plan.json before choosing a backbone branch.", |
| "Inspect OMNI_MODEL_EXTENSION_CONTRACT.md and run python scripts/omni/backbone_registry.py --validate --json before adding a new Qwen, Cosmos-style, or VLA/policy branch.", |
| "Inspect XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md for the long-term full-corpus pretraining goal.", |
| "Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.", |
| "Inspect results/audio_ablation/AUDIO_ABLATION_SUMMARY.md before judging whether audio helps the current task suite.", |
| "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.", |
| "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.", |
| "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.", |
| "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md before comparing simple/NN baselines to the selected 128-episode setup.", |
| "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot." |
| ], |
| "current_reading_notes": [ |
| "The validation-aware Qwen3-Omni diagnostic pilot is verified, but current held-out quality is still weak.", |
| "Use docs/data/omni_finetune_verified_result.json and the latest verified_public validation-aware package for current held-out results.", |
| "The 128-episode aligned simple/NN baselines use metadata/text features from the derived Qwen JSONL export; they align the split and task ids but do not replace raw-modality baselines for trajectory, retrieval, reconstruction, or misalignment tasks.", |
| "The current reconstruction task reconstructs feature vectors, not pixel-depth, mesh, NeRF, or Gaussian reconstruction.", |
| "Audio is one of the synchronized source modalities in the current task representation.", |
| "The audio ablation report compares audio/no-audio variants across all 12 task contracts in results/audio_ablation/.", |
| "Foundation-model selection is explicit: Qwen3-Omni is the immediate trainable pilot, Cosmos 3 is the first world-model branch, and policy models such as OpenVLA/openpi/GR00T wait for action-target conversion.", |
| "Future model branches should be added through the backbone registry and verified package contract, not as one-off result folders with incompatible metrics or publication rules.", |
| "The Xperience Embodied Foundation Model is a future native-pretraining goal, not a completed model or current benchmark." |
| ] |
| } |
|
|
