Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "generated_at_utc": "2026-06-21T11:49:06+00:00", | |
| "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.", | |
| "lines": [ | |
| { | |
| "artifact_entry_points": [ | |
| "docs/data/single_episode_task_model_radar.json", | |
| "docs/data/two_evidence_line_result_summary.json", | |
| "results/episode_task_suite/summary_report.json", | |
| "results/episode_task_suite/feature_manifest.json", | |
| "docs/single_episode_explorer.html" | |
| ], | |
| "claim_boundary": "Supports task construction, file inspection, local reproducibility, and controlled single-episode baseline claims.", | |
| "data_unit": "One public Xperience-10M sample episode", | |
| "direct_scored_method_task_count": 40, | |
| "id": "single_public_sample_episode", | |
| "label": "1 sample episode", | |
| "method_count": 2, | |
| "method_task_record_count": 40, | |
| "methods": [ | |
| { | |
| "direct_scored_task_count": 20, | |
| "id": "minimal", | |
| "label": "Minimal", | |
| "method_detail": "Single-episode simple heads over the public sample split.", | |
| "proxy_scored_task_count": 0, | |
| "result_record_count": 20, | |
| "scope": "1 public sample episode", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "scored": 20 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 20, | |
| "id": "neural_mlp", | |
| "label": "Neural MLP", | |
| "method_detail": "Single-episode compact PyTorch MLP heads on the same 20 task contracts.", | |
| "proxy_scored_task_count": 0, | |
| "result_record_count": 20, | |
| "scope": "1 public sample episode", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "scored": 20 | |
| } | |
| } | |
| ], | |
| "not_for": "Do not use this line as evidence of multi-episode generalization.", | |
| "primary_use": "Inspect raw files, understand each task, rerun local baselines, and debug task quality.", | |
| "primary_visuals": [ | |
| "docs/assets/charts/two_evidence_line_map.svg", | |
| "docs/assets/charts/single_episode_task_model_radar.svg" | |
| ], | |
| "proxy_scored_method_task_count": 0, | |
| "result_statement": "40/40 direct scores from Minimal and Neural MLP heads on the same 20 task contracts.", | |
| "scored_method_task_count": 40, | |
| "short_label": "Line 1", | |
| "task_count": 20 | |
| }, | |
| { | |
| "artifact_entry_points": [ | |
| "docs/data/episode128_task_model_radar.json", | |
| "docs/data/two_evidence_line_result_summary.json", | |
| "docs/data/xperience10m_128_episode_feature_index.json", | |
| "docs/data/omni_model_comparison.json", | |
| "docs/data/qwen3_omni_run_lineage.json", | |
| "docs/data/task_method_20_gap_audit.json" | |
| ], | |
| "claim_boundary": "Supports same-split metadata/raw baseline comparison, Qwen3-Omni v6 diagnostics, Cosmos3 diagnostics, and scale-up planning on public-safe processed artifacts.", | |
| "data_unit": "Selected held-out 96/16/16 split with public-safe processed features linked to official gated episode paths", | |
| "direct_scored_method_task_count": 134, | |
| "id": "selected_128_episode_surface", | |
| "label": "128 selected episodes", | |
| "method_count": 7, | |
| "method_task_record_count": 140, | |
| "methods": [ | |
| { | |
| "direct_scored_task_count": 19, | |
| "id": "metadata128_simple", | |
| "label": "128ep Aligned Simple", | |
| "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.", | |
| "proxy_scored_task_count": 1, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "proxy_scored": 1, | |
| "scored": 19 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 19, | |
| "id": "metadata128_neural_mlp", | |
| "label": "128ep Aligned NN", | |
| "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.", | |
| "proxy_scored_task_count": 1, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "proxy_scored": 1, | |
| "scored": 19 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 18, | |
| "id": "raw128_simple", | |
| "label": "128ep Raw Simple", | |
| "method_detail": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.", | |
| "proxy_scored_task_count": 2, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "proxy_scored": 2, | |
| "scored": 18 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 18, | |
| "id": "raw128_neural_mlp", | |
| "label": "128ep Raw NN", | |
| "method_detail": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.", | |
| "proxy_scored_task_count": 2, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "proxy_scored": 2, | |
| "scored": 18 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 20, | |
| "id": "qwen3_omni_v6_lora", | |
| "label": "Qwen3-Omni v6 LoRA", | |
| "method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.", | |
| "proxy_scored_task_count": 0, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, held-out test", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "scored": 20 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 20, | |
| "id": "cosmos3_super_reasoner", | |
| "label": "Cosmos3-Super Reasoner", | |
| "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 5/8/9/10/11/12/13/14/16/17/18/19/20 probes where public metrics exist.", | |
| "proxy_scored_task_count": 0, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, held-out test", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "scored": 20 | |
| } | |
| }, | |
| { | |
| "direct_scored_task_count": 20, | |
| "id": "cosmos3_nano_future_window", | |
| "label": "Cosmos3-Nano Future Window", | |
| "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 2/5/7/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.", | |
| "proxy_scored_task_count": 0, | |
| "result_record_count": 20, | |
| "scope": "128 selected episodes, held-out test", | |
| "scored_task_count": 20, | |
| "status_counts": { | |
| "scored": 20 | |
| } | |
| } | |
| ], | |
| "not_for": "Do not read compact-proxy cells as direct raw-target measurements.", | |
| "primary_use": "Compare same-split metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window while keeping evidence type explicit.", | |
| "primary_visuals": [ | |
| "docs/assets/charts/two_evidence_line_map.svg", | |
| "docs/assets/charts/episode128_task_model_radar.svg", | |
| "docs/assets/charts/unified_task_model_radar.svg" | |
| ], | |
| "proxy_scored_method_task_count": 6, | |
| "result_statement": "140/140 selected-128 scores across seven methods: 134 direct scores plus 6 documented compact-proxy scores.", | |
| "scored_method_task_count": 140, | |
| "short_label": "Line 2", | |
| "task_count": 20 | |
| } | |
| ], | |
| "method_blocks": [ | |
| { | |
| "block": "Task-head baselines", | |
| "direct_scored_method_task_count": 40, | |
| "evidence_type": "Direct target metrics on the public sample windows.", | |
| "line_id": "single_public_sample_episode", | |
| "line_label": "1 sample episode", | |
| "method_ids": [ | |
| "minimal", | |
| "neural_mlp" | |
| ], | |
| "method_task_record_count": 40, | |
| "methods": [ | |
| "Minimal", | |
| "Neural MLP" | |
| ], | |
| "proxy_scored_method_task_count": 0, | |
| "read_as": "Task construction, local reproducibility, and Minimal-vs-Neural behavior.", | |
| "scored_method_task_count": 40 | |
| }, | |
| { | |
| "block": "Aligned baseline heads", | |
| "direct_scored_method_task_count": 74, | |
| "evidence_type": "Direct processed-target metrics where available; compact proxies for documented raw-target gaps.", | |
| "line_id": "selected_128_episode_surface", | |
| "line_label": "128 selected episodes", | |
| "method_ids": [ | |
| "metadata128_simple", | |
| "metadata128_neural_mlp", | |
| "raw128_simple", | |
| "raw128_neural_mlp" | |
| ], | |
| "method_task_record_count": 80, | |
| "methods": [ | |
| "128ep Aligned Simple", | |
| "128ep Aligned NN", | |
| "128ep Raw Simple", | |
| "128ep Raw NN" | |
| ], | |
| "proxy_scored_method_task_count": 6, | |
| "read_as": "Same-split metadata/raw-feature baseline comparison.", | |
| "scored_method_task_count": 80 | |
| }, | |
| { | |
| "block": "Qwen3-Omni series", | |
| "direct_scored_method_task_count": 20, | |
| "evidence_type": "Verified selected-128 Qwen3-Omni v6 LoRA plus source-linked task-specific probes.", | |
| "line_id": "selected_128_episode_surface", | |
| "line_label": "128 selected episodes", | |
| "method_ids": [ | |
| "qwen3_omni_v6_lora" | |
| ], | |
| "method_task_record_count": 20, | |
| "methods": [ | |
| "Qwen3-Omni v6 LoRA" | |
| ], | |
| "proxy_scored_method_task_count": 0, | |
| "read_as": "Trainable Qwen3-Omni diagnostic baseline on the selected-128 surface.", | |
| "scored_method_task_count": 20 | |
| }, | |
| { | |
| "block": "Cosmos3 series", | |
| "direct_scored_method_task_count": 40, | |
| "evidence_type": "Verified Cosmos3-Super Reasoner and Cosmos3-Nano Future Window public-safe artifacts.", | |
| "line_id": "selected_128_episode_surface", | |
| "line_label": "128 selected episodes", | |
| "method_ids": [ | |
| "cosmos3_super_reasoner", | |
| "cosmos3_nano_future_window" | |
| ], | |
| "method_task_record_count": 40, | |
| "methods": [ | |
| "Cosmos3-Super Reasoner", | |
| "Cosmos3-Nano Future Window" | |
| ], | |
| "proxy_scored_method_task_count": 0, | |
| "read_as": "Cosmos3 reasoner and future-window diagnostics on the selected-128 surface.", | |
| "scored_method_task_count": 40 | |
| } | |
| ], | |
| "proxy_records": [ | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Raw Simple", | |
| "metric_key": "macro_f1", | |
| "reason": "documented compact proxy completion for this raw128 task axis", | |
| "series_id": "raw128_simple", | |
| "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json", | |
| "task_id": "interaction_text_prediction", | |
| "task_label": "Interaction Text Prediction", | |
| "task_number": 15 | |
| }, | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Raw NN", | |
| "metric_key": "macro_f1", | |
| "reason": "documented compact proxy completion for this raw128 task axis", | |
| "series_id": "raw128_neural_mlp", | |
| "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json", | |
| "task_id": "interaction_text_prediction", | |
| "task_label": "Interaction Text Prediction", | |
| "task_number": 15 | |
| }, | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Aligned Simple", | |
| "metric_key": "mrr", | |
| "reason": "paired camera-view embeddings are absent from the 128 JSONL/feature export; metadata features retrieve the synchronized same-window depth/audio block as a documented compact synchronization proxy", | |
| "series_id": "metadata128_simple", | |
| "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/camera_view_sync_retrieval/metrics.json", | |
| "task_id": "camera_view_sync_retrieval", | |
| "task_label": "Camera-View Synchronization Retrieval", | |
| "task_number": 19 | |
| }, | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Aligned NN", | |
| "metric_key": "mrr", | |
| "reason": "paired camera-view embeddings are absent from the 128 JSONL/feature export; metadata features retrieve the synchronized same-window depth/audio block as a documented compact synchronization proxy", | |
| "series_id": "metadata128_neural_mlp", | |
| "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/camera_view_sync_retrieval/metrics.json", | |
| "task_id": "camera_view_sync_retrieval", | |
| "task_label": "Camera-View Synchronization Retrieval", | |
| "task_number": 19 | |
| }, | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Raw Simple", | |
| "metric_key": "mrr", | |
| "reason": "documented compact proxy completion for this raw128 task axis", | |
| "series_id": "raw128_simple", | |
| "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json", | |
| "task_id": "camera_view_sync_retrieval", | |
| "task_label": "Camera-View Synchronization Retrieval", | |
| "task_number": 19 | |
| }, | |
| { | |
| "line_id": "selected_128_episode_surface", | |
| "method": "128ep Raw NN", | |
| "metric_key": "mrr", | |
| "reason": "documented compact proxy completion for this raw128 task axis", | |
| "series_id": "raw128_neural_mlp", | |
| "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json", | |
| "task_id": "camera_view_sync_retrieval", | |
| "task_label": "Camera-View Synchronization Retrieval", | |
| "task_number": 19 | |
| } | |
| ], | |
| "reader_policy": { | |
| "proxy_policy": "Proxy-scored cells stay numeric only when the source artifact and reason are attached; they should not be read as direct raw-target measurements.", | |
| "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.", | |
| "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior." | |
| }, | |
| "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.", | |
| "reading_order": [ | |
| { | |
| "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.", | |
| "step": "Choose the evidence line" | |
| }, | |
| { | |
| "reason": "Use the 1-episode radar for Minimal-vs-Neural behavior and the 128-episode radar for metadata/raw baselines, Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano.", | |
| "step": "Open the matching radar" | |
| }, | |
| { | |
| "reason": "Every numeric score is tied to a method, task, metric key, source artifact, and proxy flag.", | |
| "step": "Inspect the matrix row" | |
| }, | |
| { | |
| "reason": "The six compact-proxy cells are numeric but are not direct raw-target measurements.", | |
| "step": "Check proxy cells before interpreting totals" | |
| } | |
| ], | |
| "related_model_artifacts": [ | |
| { | |
| "name": "Qwen3-Omni v1-v6 run lineage", | |
| "repo": "docs/data/qwen3_omni_run_lineage.json", | |
| "role": "Explains the LoRA/evaluation version ladder; v6 is the current 20-task matrix row, v5 remains the pinned prior release, and v1-v4 are lineage/ablation evidence." | |
| }, | |
| { | |
| "name": "Cosmos3-Super Forward-Dynamics LoRA", | |
| "repo": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep", | |
| "role": "Separate fine-tuned adapter artifact for forward-dynamics loss metrics; published with weights/results but not counted as a 20-task matrix method row." | |
| } | |
| ], | |
| "score_formula": "2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.", | |
| "source_lines": "docs/data/two_evidence_lines.json", | |
| "source_matrix": "docs/data/task_method_20_result_matrix.json", | |
| "status": "pass", | |
| "summary": { | |
| "direct_scored_method_task_count": 174, | |
| "line_count": 2, | |
| "method_count": 9, | |
| "method_task_record_count": 180, | |
| "proxy_scored_method_task_count": 6, | |
| "scored_method_task_count": 180, | |
| "task_count": 20 | |
| }, | |
| "title": "Two Evidence-Line Result Summary" | |
| } | |