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"title": "Ropedia Xperience-10M Task Suite Project Status",
"version": "2026-06-20",
"decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
"research_positioning": "A research-engineering study with two public evidence lines: Line 1 makes one public Xperience-10M sample episode inspectable and reproducible as a 20-task lab; Line 2 aligns selected 128-episode baselines with verified Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano diagnostics, then records a no-new-episode enhancement pack for pushing the 128-episode suite harder.",
"scope_boundary": {
"validated_episode_count": 1,
"aligned_frames": 5821,
"sliding_windows": 1161,
"current_feature_dimensions": 8546,
"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": 25629,
"val": 4608,
"test": 4032
},
"qwen3_omni_json_validity_rate": 0.9990079365079365,
"qwen3_omni_validation_aware": true,
"qwen3_omni_json_quality_target_met": true,
"qwen3_omni_lora_adapter_repo": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
"cosmos3_nano_future_window_compatibility_verified": true,
"cosmos3_nano_future_window_test_predictions": 378,
"cosmos3_super_reasoner_verified": true,
"cosmos3_super_reasoner_test_predictions": 448,
"cosmos3_super_reasoner_json_validity_rate": 0.5111607142857143,
"cosmos3_super_forward_dynamics_lora_verified": true,
"cosmos3_super_forward_dynamics_train_rows": 2848,
"cosmos3_super_forward_dynamics_val_rows": 512,
"cosmos3_super_forward_dynamics_test_rows": 448,
"cosmos3_super_forward_dynamics_test_mse": 3.6853174321087345,
"cosmos3_super_forward_dynamics_adapter_params": 26214400,
"omni_model_comparison_available": 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": 20,
"task_method_matrix_method_count": 9,
"task_method_matrix_record_count": 180,
"task_method_matrix_scored_count": 180,
"task_method_matrix_proxy_scored_count": 6,
"qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
"qwen3_omni_current_train_epochs": 2,
"qwen3_omni_action_macro_f1": 0.0028830723979596335,
"qwen3_omni_subtask_accuracy": 0.0037313432835820895,
"qwen3_omni_contact_accuracy": 0.8177083333333334,
"qwen3_omni_object_micro_f1": 0.3064982378331287,
"task_suite_enhancement_128_available": true,
"task_suite_enhancement_128_current_windows": 3808,
"task_suite_enhancement_128_recommended_export": "multiscale_20s10_40s20_80s40",
"task_suite_enhancement_128_estimated_windows": 106095,
"task_count": 20,
"task_surface_framing": "unified_20_task_suite",
"legacy_provenance_result_path": "docs/data/tier2_task_suite.json"
},
"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": "Unified 20-task suite",
"status": "verified",
"evidence": [
"TASK_SUITE_20.md",
"docs/data/task_suite_20.json",
"results/episode_task_suite/",
"results/episode_task_suite/tier2_task_suite/"
],
"readout": "All 20 task contracts are presented together with committed minimal metrics, the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical provenance inside the suite, not a separate public tier."
},
{
"area": "180-result method matrix",
"status": "verified_complete",
"evidence": [
"docs/data/task_method_20_result_matrix.json",
"TASK_METHOD_20_RESULT_MATRIX.md",
"docs/data/task_method_20_gap_audit.json",
"docs/assets/charts/unified_task_model_radar.svg"
],
"readout": "The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target."
},
{
"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 walkthrough-backed 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 final verified Qwen3-Omni diagnostic result, same-split baseline alignment, the no-new-episode 128-suite enhancement pack, action/subtask error analysis, robustness runs, world/policy tracks, and the future Xperience-native pretraining goal."
},
{
"area": "128-episode task-suite enhancement pack",
"status": "current_no_new_episode_plan",
"evidence": [
"TASK_SUITE_ENHANCEMENT_128.md",
"docs/data/task_suite_enhancement_128.json",
"results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json",
"scripts/omni/build_task_suite_enhancement_128.py"
],
"readout": "The current 3,808-window selected split can be stressed without more episodes by exporting denser and multiscale windows. The recommended next export is multiscale_20s10_40s20_80s40, estimated at 106,095 windows from observed frame spans; the pack also defines hierarchical action/subtask targets, raw-feature shard priorities for unsupported tasks, and Qwen3-Omni/Cosmos3 follow-up run cards."
},
{
"area": "Foundation-model plan",
"status": "current",
"evidence": [
"FOUNDATION_MODEL_PLAN.md",
"docs/data/foundation_model_plan.json"
],
"readout": "Qwen3-Omni remains the first structured JSON LoRA baseline; Cosmos 3 is now represented by a verified Cosmos3-Nano future-window compatibility package, a verified Cosmos3-Super base-weight Reasoner evaluation, and a verified Cosmos3-Super Forward-Dynamics LoRA over camera-pose proxy targets. The Super LoRA target supports vision-velocity training under action conditioning, not supervised action-token prediction; OpenVLA/openpi/GR00T remain policy candidates after robot-compatible 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 Qwen3-Omni, Cosmos3-style, and VLA/policy tracks 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": "Current result comparison",
"status": "verified_generated_summary",
"evidence": [
"docs/data/omni_model_comparison.json",
"results/omni_finetune/OMNI_MODEL_COMPARISON.md",
"scripts/omni/build_omni_model_comparison.py"
],
"readout": "The public comparison now has two evidence lines plus a model-family grouping. The model grouping pairs 1-episode and 128-episode entries for task-head baselines, separates Qwen3-Omni sensor-adapter smoke from 128-episode LoRA diagnostics, separates Cosmos3-Nano future-window compatibility from Cosmos3-Super base-weight Reasoner evaluation, and adds Cosmos3-Super Forward-Dynamics LoRA as a loss-based fine-tuned adapter artifact."
},
{
"area": "Qwen3-Omni fine-tuning",
"status": "final_verified_diagnostic_result_json_target_met",
"evidence": [
"QWEN3_OMNI_RUN_LINEAGE.md",
"docs/data/qwen3_omni_run_lineage.json",
"docs/data/omni_finetune_verified_result.json",
"docs/data/qwen3_v5_v6_comparison.json",
"results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md",
"results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/",
"https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
"scripts/omni/package_verified_omni_result.py",
"scripts/omni/audit_verified_omni_package.py",
"scripts/omni/analyze_qwen3_omni_errors.py"
],
"readout": "Qwen3-Omni v1-v6 are one selected-128 run lineage, not six project evidence lines. v1-v4 harden the pipeline and record ablations, v5 is the pinned prior multiscale release, and v6 is the current public 20-task Qwen row. The v6 rank64/lr5e-5 public-safe held-out package has 34,269 exported windows, 4,032 test predictions, validation/audit summaries, and a public LoRA adapter repo. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics."
},
{
"area": "Cosmos3-Nano future-window package",
"status": "verified_compatibility_result",
"evidence": [
"configs/omni_backbones/cosmos_world_model.json",
"scripts/omni/export_cosmos3_future_window_dataset.py",
"scripts/omni/eval_cosmos3_future_window_retrieval.py",
"results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/verified_result_summary.json"
],
"readout": "The Cosmos3-Nano package now has a public-safe verified future-window compatibility result with 3,213 future-window samples, 378 held-out test predictions, future retrieval MRR 0.0221, temporal consistency 0.0952, transition accuracy 0.9683, and contact accuracy 0.7434. It is a compatibility adapter result, not a full Cosmos diffusion-weight fine-tune."
},
{
"area": "Cosmos3-Super Reasoner package",
"status": "verified_base_weight_result",
"evidence": [
"configs/omni_backbones/cosmos3_super_reasoner.json",
"scripts/omni/eval_cosmos3_super_reasoner.py",
"scripts/omni/run_cosmos3_super_reasoner_eval.sh",
"results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/verified_result_summary.json"
],
"readout": "Cosmos3-Super Reasoner now has a public-safe verified 448-window held-out evaluation on the same structured JSON task as Qwen3. It uses staged nv-community/Cosmos3-Super base weights through an 8-GPU vLLM server, not fine-tuned weights: JSON validity 0.5112, action macro-F1 0.0008, transition accuracy 0.3683, contact accuracy 0.3214, and object micro-F1 0.1370."
},
{
"area": "Cosmos3-Super action-target contract",
"status": "superseded_by_verified_forward_dynamics_lora",
"evidence": [
"scripts/omni/export_cosmos3_camera_pose_targets.py",
"scripts/omni/pack_cosmos3_super_action_batch.py",
"results/omni_finetune/xperience10m_cosmos3_camera_pose_targets_20260608/target_manifest.json",
"results/omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/training_contract_audit.json",
"results/omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/packer_summary.json"
],
"readout": "The selected 128-episode JSONL is augmented with 3,808/3,808 valid camera_pose proxy cosmos_action_target records from SLAM pose deltas. The contract and packer smoke enabled the verified forward-dynamics LoRA run; it supervises noisy vision tokens under camera-pose conditioning and does not supervise preds_action."
},
{
"area": "Cosmos3-Super Forward-Dynamics LoRA",
"status": "verified_fine_tuned_adapter_result",
"evidence": [
"configs/omni_backbones/cosmos3_super_forward_dynamics.json",
"scripts/omni/train_cosmos3_super_forward_dynamics_lora.py",
"scripts/omni/eval_cosmos3_super_forward_dynamics_lora.py",
"results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/verified_result_summary.json",
"results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/package_audit.json"
],
"readout": "The first fine-tuned Cosmos3-Super adapter artifact is verified as a public-safe package: 8-GPU FSDP LoRA, 26.2M adapter parameters, 2,848 train rows, 512 validation rows, 448 held-out test rows, validation MSE 4.0082, and test MSE 3.6853. The package excludes adapter safetensors; weights are published separately at cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep."
},
{
"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 track.",
"Inspect OMNI_MODEL_EXTENSION_CONTRACT.md and run python scripts/omni/backbone_registry.py --validate --json before adding a new Qwen3-Omni, Cosmos3-style, or VLA/policy track.",
"Inspect XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md for the long-term full-corpus pretraining goal.",
"Inspect TASK_SUITE_20.md, docs/data/task_suite_20.json, docs/data/summary_metrics.json, and results/episode_task_suite/neural_mlp/ to check the unified 20-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 docs/data/task_method_20_result_matrix.json and TASK_METHOD_20_RESULT_MATRIX.md before comparing the 180 scored method-task records.",
"Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md and results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/ before comparing simple/NN baselines to the selected 128-episode setup.",
"Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
"Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
"Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."
],
"current_reading_notes": [
"The latest Qwen3-Omni v6 diagnostic run is verified and meets the strict-JSON target, but action/subtask held-out quality is still weak: JSON validity is 99.90%, action macro-F1 is 0.0029, and subtask accuracy is 0.0037. v5 remains the pinned prior release row because it is still stronger on several metrics.",
"Use TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json to push the current 128-episode suite without more raw episodes through multiscale_20s10_40s20_80s40, hierarchical labels, label-normalized scoring, and raw-feature shard export.",
"Use docs/data/omni_model_comparison.json to compare both views: the 1-sample evidence line, the selected-128 evidence line, and the model-family grouping for task heads, Qwen3-Omni LoRA, Cosmos3-Nano, and Cosmos3-Super.",
"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 Cosmos3-Nano future-window package is verified as a compatibility adapter result, Cosmos3-Super Reasoner is verified as a base-weight evaluation, and Cosmos3-Super Forward-Dynamics LoRA is verified as the first fine-tuned Super adapter artifact. Cosmos3-Super adapter weights belong in cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep; verified_public packages exclude safetensors.",
"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 the walkthrough-backed task contracts in results/audio_ablation/.",
"Foundation-model selection is explicit: Qwen3-Omni is the structured JSON baseline, Cosmos 3 is the world-model track with Nano compatibility and Super forward-dynamics LoRA results, and policy models such as OpenVLA/openpi/GR00T wait for robot-compatible action-target conversion.",
"Future model tracks 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."
]
}
|