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: 5,672 Bytes
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"name": "Ropedia Xperience-10M Task Suite",
"slug": "ropedia-xperience-10m-task-suite",
"version": "0.1.0",
"status": "single_episode_suite_plus_final_qwen3_omni_diagnostic_result",
"last_metadata_update": "2026-06-07",
"summary": "Research-development repo built around one public Xperience-10M sample episode plus a final verified selected-episode Qwen3-Omni diagnostic result.",
"scope_boundary": {
"raw_data_redistributed": false,
"episode_count_verified": 1,
"window_count_verified": 1161,
"feature_dim_verified": 8546,
"audio_featurized": true,
"qwen3_omni_32_episode_claim": false,
"qwen3_omni_verified_diagnostic_pilot": true,
"qwen3_omni_selected_split": {
"train": 96,
"val": 16,
"test": 16
},
"qwen3_omni_held_out_test_windows": 448,
"qwen3_omni_json_validity_rate": 0.9977678571428571,
"qwen3_omni_json_quality_target_met": true,
"qwen3_omni_lora_adapter_repo": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
"task_count": 20,
"original_public_sample_task_count": 12,
"additional_public_sample_task_count": 8,
"legacy_tasks_13_to_20_result_path": "docs/data/tier2_task_suite.json"
},
"public_surfaces": {
"github_repo": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",
"github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/",
"hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite",
"hf_static_space": "https://cy0307-ropedia-xperience-10m-task-suite.static.hf.space/",
"hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts",
"hf_model_repo": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines",
"hf_qwen3_lora_adapter": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
"hf_cosmos3_super_lora_adapter": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep",
"hf_collection": "https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite"
},
"upstream_sources": {
"ropedia_dataset_site": "https://ropedia.com/dataset",
"ropedia_release_page": "https://ropedia.com/blog/20260316_xperience_10m",
"ropedia_github": "https://github.com/Ropedia",
"homie_toolkit": "https://github.com/Ropedia/HOMIE-toolkit",
"xperience10m_hf": "https://huggingface.co/datasets/ropedia-ai/xperience-10m",
"xperience10m_sample_hf": "https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample"
},
"upstream_dataset_card_alignment": {
"source_repo": "ropedia-ai/xperience-10m",
"source_url": "https://huggingface.co/datasets/ropedia-ai/xperience-10m",
"source_repo_sha": "ce943cf271a758b60240084892d05cf6dc12dd90",
"observed_last_modified": "2026-04-21T05:03:45.000Z",
"observed_access": "manual gated access for approved non-commercial use",
"observed_live_hf_file_size_display": "31.9 TB",
"full_scale_storage_statement": "about 1 PB",
"observed_api_episode_folders": 12103,
"sample_repo": "ropedia-ai/xperience-10m-sample",
"sample_license": "cc-by-nc-4.0",
"alignment_doc": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json"
},
"evidence_files": {
"project_status": "PROJECT_STATUS.md",
"project_status_json": "docs/data/project_status.json",
"research_roadmap": "RESEARCH_ROADMAP.md",
"research_roadmap_json": "docs/data/research_roadmap.json",
"artifact_guide": "ARTIFACT_GUIDE.md",
"official_dataset_card_alignment": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
"official_dataset_card_alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
"source_alignment_audit": "SOURCE_ALIGNMENT_AUDIT.md",
"source_alignment_audit_json": "docs/data/source_alignment_audit.json",
"evaluation_protocol": "EVALUATION_PROTOCOL.md",
"evaluation_protocol_json": "docs/data/evaluation_protocol.json",
"brand_assets": "docs/data/brand_assets.json",
"brand_logo_social_card": "docs/assets/brand/xperience10m-logo-social-card.png",
"figure_index": "FIGURE_INDEX.md",
"figure_index_json": "docs/data/figure_index.json",
"reproducibility_contract": "REPRODUCIBILITY.md",
"reproducibility_matrix": "docs/data/reproducibility_matrix.json",
"evidence_contract": "docs/data/evidence_contract.json",
"artifact_index": "docs/data/artifact_index.json",
"mirror_parity": "docs/data/mirror_parity.json",
"publication_audit": "docs/data/publication_audit.json",
"scope_claims_audit": "docs/data/scope_claims_audit.json",
"website_integrity": "docs/data/website_integrity.json",
"rendered_site_check": "docs/data/rendered_site_check.json",
"task_surface_integrity": "docs/data/task_surface_integrity.json",
"project_packet": "docs/data/project_packet.json",
"summary_metrics": "docs/data/summary_metrics.json",
"omni_finetune_verified_result": "docs/data/omni_finetune_verified_result.json",
"modality_atlas": "docs/data/modality_atlas.json",
"research_directions": "docs/data/research_directions.json",
"research_direction_extensions": "docs/data/research_direction_extensions.json",
"task_walkthroughs": "docs/data/task_walkthroughs.json",
"task_suite_20": "TASK_SUITE_20.md",
"task_suite_20_json": "docs/data/task_suite_20.json",
"tasks_13_to_20_result_bundle": "docs/data/tier2_task_suite.json"
},
"citation_files": {
"citation_cff": "CITATION.cff",
"codemeta": "codemeta.json",
"license": "LICENSE",
"data_notice": "DATA_NOTICE.md"
}
}
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