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: 7,126 Bytes
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"title": "Ropedia Xperience-10M Public Project Surface",
"status": "pass",
"generated_at_utc": "2026-06-19T11:30:39+00:00",
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
"checks": [
{
"name": "public_presentation_files_exist",
"status": "pass",
"reason": "Repo README, website HTML, and three Hugging Face cards should all be present in the publication workspace.",
"missing": []
},
{
"name": "core_status_reports_pass",
"status": "pass",
"reason": "The public project surface depends on the existing project reports already passing.",
"reports": {
"website_integrity": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-18T22:58:01+00:00"
},
"rendered_site_check": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-03T01:38:26+00:00"
},
"task_surface_integrity": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-19T11:30:21+00:00"
},
"source_alignment": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-19T11:30:21+00:00"
},
"scale_up_status": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-19T11:30:24+00:00"
},
"publication_package": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-18T22:58:11+00:00"
},
"mirror_parity": {
"exists": true,
"status": "pass",
"generated_at_utc": "2026-06-18T23:18:33+00:00"
}
},
"failures": {}
},
{
"name": "website_has_research_seo_metadata",
"status": "pass",
"reason": "The website should expose search/social metadata and structured project metadata.",
"marker_counts": {
"<title>Ropedia Xperience-10M Task Suite</title>": 1,
"name=\"description\"": 1,
"rel=\"canonical\"": 1,
"property=\"og:title\"": 1,
"property=\"og:image\"": 1,
"name=\"twitter:card\"": 1,
"application/ld+json": 1,
"rel=\"manifest\"": 1,
"rel=\"apple-touch-icon\"": 1
}
},
{
"name": "website_tabs_are_accessible_and_keyboardable",
"status": "pass",
"reason": "The long research dashboard should be navigable as real tabs, including keyboard support.",
"marker_counts": {
"role=\"tablist\"": 3,
"role=\"tab\"": 10,
"role=\"tabpanel\"": 27,
"aria-selected": 13,
"aria-controls": 11,
"moveProjectTabFocus": 2,
"ArrowRight": 6,
"Home": 7,
"End": 6
}
},
{
"name": "responsive_navigation_guard_present",
"status": "pass",
"reason": "Tablet/mobile navigation should not overflow and deep links should land below sticky navigation."
},
{
"name": "public_naming_consistent",
"status": "pass",
"reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
"marker_counts": {
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"20-task": 61,
"Qwen3-Omni": 154,
"128-episode pilot": 1
}
},
{
"name": "public_links_cover_repo_hf_dataset_and_ropedia",
"status": "pass",
"reason": "Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page.",
"marker_counts": {
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"https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite": 11,
"https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts": 11,
"https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines": 14,
"https://huggingface.co/datasets/ropedia-ai/xperience-10m": 38,
"https://ropedia.com/dataset": 5
}
},
{
"name": "public_artifact_qa_files_are_exposed",
"status": "pass",
"reason": "Readers should be able to find website reference, release package, mirror, and public presentation files from public copy.",
"marker_counts": {
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"data/public_reader_map.json": 17,
"data/website_integrity.json": 6,
"data/rendered_site_check.json": 6,
"data/task_surface_integrity.json": 15,
"data/publication_audit.json": 9,
"data/mirror_parity.json": 9,
"data/public_surface_qa.json": 7,
"data/research_roadmap.json": 15,
"data/task_suite_enhancement_128.json": 22,
"data/task_suite_20.json": 34,
"data/unified_task_model_radar.json": 21,
"data/single_episode_task_model_radar.json": 11,
"data/episode128_task_model_radar.json": 11,
"data/task_method_20_result_matrix.json": 21,
"data/task_method_20_gap_audit.json": 21,
"data/language_versions.json": 3,
"assets/charts/unified_task_model_radar.svg": 17,
"assets/charts/single_episode_task_model_radar.svg": 18,
"assets/charts/episode128_task_model_radar.svg": 18,
"data/tier2_task_suite.json": 11
}
},
{
"name": "public_reader_map_is_exposed",
"status": "pass",
"reason": "The public surfaces should expose the shared reader map in both Markdown and JSON form.",
"marker_counts": {
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"docs/data/public_reader_map.json": 14,
"data/public_reader_map.json": 17
}
},
{
"name": "multilingual_readmes_are_exposed",
"status": "pass",
"reason": "The repo, dashboard, Space, artifact dataset, and model card should expose the eight-language reader layer.",
"missing": [],
"marker_counts": {
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"README.es.md": 4,
"README.fr.md": 4,
"README.de.md": 4,
"README.ja.md": 4,
"README.ko.md": 4,
"README.pt.md": 4,
"docs/data/language_versions.json": 2,
"data/language_versions.json": 3
}
},
{
"name": "public_copy_uses_reader_facing_language",
"status": "pass",
"reason": "Project language is clear and avoids hardware details or irrelevant implementation details.",
"banned_hits": []
}
],
"live_publication_report": {
"exists": true,
"status": "pass",
"generated_at_utc": null
},
"surface_files": {
"github_readme": "README.md",
"website_html": "docs/index.html",
"hf_space_card": "hf_publish/space/README.md",
"hf_artifact_card": "hf_publish/artifacts/README.md",
"hf_model_card": "hf_publish/model/README.md"
},
"scope_note": "This report covers the public repo, website, Hugging Face cards, and package contents. Multi-episode model metrics are tracked by the training and evaluation reports."
}
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