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
File size: 5,906 Bytes
a49986a 7d21adc a49986a b5c6bbb a49986a 7d21adc a49986a 7d21adc a49986a b5c6bbb a49986a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 | {
"title": "Ropedia Xperience-10M Public Reader Map",
"status": "published",
"purpose": "Organize the GitHub repo, GitHub Pages dashboard, Hugging Face Space, artifact dataset, baseline model repo, consolidated weights/results repo, and model-branch repos without removing evidence.",
"fast_paths": [
{
"reader_goal": "Understand the project in one pass",
"start_here": "PROJECT_BRIEF.md",
"then_inspect": ["PROJECT_STATUS.md", "RESEARCH_TAKEAWAYS.md"]
},
{
"reader_goal": "See the visual public dashboard",
"start_here": "GitHub Pages dashboard or Hugging Face Space",
"then_inspect": ["docs/index.html", "docs/data/project_packet.json"]
},
{
"reader_goal": "Understand the data unit",
"start_here": "results/episode_task_suite/windows.csv",
"then_inspect": ["results/episode_task_suite/feature_manifest.json", "docs/data/raw_sample_files.json"]
},
{
"reader_goal": "Trace the 128-episode split",
"start_here": "XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md",
"then_inspect": ["docs/data/xperience10m_128_episode_feature_index.json", "results/omni_finetune/xperience10m_128_episode_selection.csv"]
},
{
"reader_goal": "Inspect the 20-task benchmark",
"start_here": "TASK_SUITE_20.md",
"then_inspect": ["docs/data/task_suite_20.json", "EVALUATION_PROTOCOL.md"]
},
{
"reader_goal": "Compare current results",
"start_here": "RESEARCH_TAKEAWAYS.md",
"then_inspect": ["docs/data/task_method_20_result_matrix.json", "docs/data/unified_task_model_radar.json"]
},
{
"reader_goal": "Compare 1-episode and 128-episode methods",
"start_here": "Homepage radar section",
"then_inspect": ["docs/data/single_episode_task_model_radar.json", "docs/data/episode128_task_model_radar.json"]
},
{
"reader_goal": "Find all derived artifacts",
"start_here": "ARTIFACT_GUIDE.md",
"then_inspect": ["Hugging Face artifact dataset", "docs/data/artifact_index.json"]
},
{
"reader_goal": "Download model weights with their matching results",
"start_here": "Hugging Face weights/results repo",
"then_inspect": ["manifest.json", "analysis/docs/data/task_method_20_result_matrix.json", "results/"]
},
{
"reader_goal": "Reproduce or extend the work",
"start_here": "REPRODUCIBILITY.md",
"then_inspect": ["QUALITY_GATES.md", "scripts/", "results/"]
},
{
"reader_goal": "Understand foundation-model directions",
"start_here": "THREE_FOUNDATION_PIPELINES.md",
"then_inspect": ["FOUNDATION_MODEL_PLAN.md", "docs/data/three_foundation_pipelines.json"]
},
{
"reader_goal": "Check public-release health",
"start_here": "PUBLIC_SURFACE_QA.md",
"then_inspect": ["docs/data/live_publication_status.json", "docs/data/mirror_parity.json"]
}
],
"public_surfaces": [
{
"surface": "GitHub repo",
"responsibility": "Source of truth for docs, scripts, generated data, validators, and commit history.",
"best_use": "Auditing implementation and citing exact files."
},
{
"surface": "GitHub Pages dashboard",
"responsibility": "Reader-facing visual overview of the dataset sample, tasks, methods, results, directions, and resources.",
"best_use": "Understanding the project quickly."
},
{
"surface": "Hugging Face Space",
"responsibility": "Hub-hosted copy of the dashboard and static app assets.",
"best_use": "Sharing the visual dashboard from Hugging Face."
},
{
"surface": "HF artifact dataset",
"responsibility": "Public-safe derived artifacts, reports, metrics, website JSON, and sanitized model result packages.",
"best_use": "Downloading evidence bundles."
},
{
"surface": "HF baseline model repo",
"responsibility": "Baseline weights, metrics, figures, and mirrored task artifacts.",
"best_use": "Reusing compact baseline outputs."
},
{
"surface": "HF weights/results repo",
"responsibility": "Consolidated baseline weights, Qwen3/Cosmos adapter weights, verified results, analysis files, and file-level manifest.",
"best_use": "Auditing all public-safe weight-bearing artifacts from one repo."
},
{
"surface": "Qwen3/Cosmos model repos",
"responsibility": "Adapter-specific public weights or package cards when a branch is verified and publishable.",
"best_use": "Inspecting model-branch artifacts."
}
],
"evidence_layers": [
"Dataset/source boundary",
"Data contract",
"Task suite",
"Results",
"Foundation directions",
"Public-release checks"
],
"claim_boundaries": [
{
"claim_type": "Single public-sample task behavior",
"public_evidence": ["results/episode_task_suite/", "docs/data/task_suite_20.json"],
"boundary": "Describes one public sample episode, not the full dataset distribution."
},
{
"claim_type": "128-episode baseline comparison",
"public_evidence": ["XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md", "docs/data/xperience10m_128_episode_feature_index.json", "results/omni_finetune/*128*", "docs/data/omni_model_comparison.json"],
"boundary": "Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream."
},
{
"claim_type": "Foundation-model branch quality",
"public_evidence": ["Verified Qwen3/Cosmos result packages", "model cards"],
"boundary": "Numeric task scores appear only when a task-specific eval or probe exists."
},
{
"claim_type": "Reproducibility",
"public_evidence": ["REPRODUCIBILITY.md", "QUALITY_GATES.md", "release validators"],
"boundary": "Raw gated Xperience-10M files and full foundation weights are not redistributed."
}
]
}
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