cy0307/ropedia-xperience-10m-task-suite-artifacts

Ropedia Xperience-10M Task Suite Artifacts

This dataset repo contains the derived research artifact layer for the public Xperience-10M sample episode released by Ropedia. It is meant for inspecting and extending the project without downloading raw videos first: task manifests, metrics, predictions, charts, diagrams, notes, reproduction scripts, modality metadata, and compact neural task-head artifacts.

The logo, figures, cards, and website assets are packaged together so the artifact repo reads as a coherent Xperience-10M multimodal task suite. Labels, dimensions, and metrics are generated from committed result files rather than hand-edited presentation copy.

The Space is organized as a two-level research dashboard: five top-level tabs plus subsection tabs for dataset, task-suite, method, result, and resource views. It still foregrounds the task-first 12-task map and includes a native responsive modality atlas backed by docs/data/modality_atlas.json and docs/assets/modalities/, so each public-sample stream remains readable on mobile without shipping raw videos or annotations. The website task section now reads from docs/data/task_walkthroughs.json to render common research task names, larger task cards, and an interactive scrub/play walkthrough storyboard. docs/data/task_surface_integrity.json verifies that those task cards stay human-readable, use representative modality thumbnails, and keep the walkthrough storyboard wired to the generated task metadata.

The artifact bundle now includes docs/data/xperience10m_dataset_card_alignment.json and XPERIENCE10M_DATASET_CARD_ALIGNMENT.md, which align this project's wording with the official gated ropedia-ai/xperience-10m dataset card: manually reviewed access, full-scale 4D modality coverage, episode layout, intended uses, limitations, and current project coverage. The same artifact now records the public sample card (cc-by-nc-4.0, HOMIE Toolkit, Rerun 0.29.0 .rrd visualization) and the observed HF API listing snapshot: 803 session folders and 12,103 episode folders with annotation.hdf5, plus the live HF 31.9 TB file-size display. The 31.9 TB display is tracked separately from the official card's about-1PB full-scale storage statement. Those counts are upstream metadata only, not files redistributed in this artifact dataset. The same source note preserves the official limited in diversity / showcase-quality disclaimer and excludes identity, surveillance, biometric, sensitive-attribute, and safety-critical uses. The generated source-alignment report, SOURCE_ALIGNMENT_AUDIT.md plus docs/data/source_alignment_audit.json, checks those full-dataset facts, public sample-card facts, API-listing caveats, and current-project markers across the repo, website, and Hugging Face cards.

For first-pass reading, PROJECT_STATUS.md and docs/data/project_status.json provide the compact current project state: implemented public-sample pipeline, 12 task contracts, minimal and neural task heads, source-aligned dataset wording, data-gated Qwen3-Omni scale-up, and excluded raw data. EVALUATION_PROTOCOL.md and docs/data/evaluation_protocol.json define the window unit, chronological split, leakage controls, per-task metrics, and current limitations before a reader compares scores. RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json, regenerated by scripts/build_research_takeaways.py, summarize what the committed metrics actually show: chronological class shift, neural gains on dynamics/order/alignment, harder retrieval/reconstruction probes, and the need for held-out episodes before final model metrics. FIGURE_INDEX.md and docs/data/figure_index.json catalog the public figures, charts, modality thumbnails, dimensions, stable hashes, and source scripts. docs/data/brand_assets.json catalogs the generated logo variants used for the favicon, header, README/HF cards, app icon, and social preview. PUBLIC_SURFACE_QA.md and docs/data/public_surface_qa.json describe the public project surface across the repo, website, and Hugging Face cards.

It does not contain raw Xperience-10M videos or raw annotation.hdf5. Download raw data only from the official Ropedia / Hugging Face sources and follow their terms.

Current scale-up status: the full ropedia-ai/xperience-10m Hugging Face dataset is still gated for this account. The multi-episode workflow is prepared to select, download, validate, and stage a 32-episode held-out pilot after access approval. Until that completes, the committed Qwen3-Omni artifacts remain setup-stage evidence; 32-episode held-out metrics require the full pilot.

Why This Repo Exists

This is the explorable artifact half of the project. You can inspect the task outputs, compare the committed metrics, and understand the single-episode limitations without downloading the raw videos first.

90-Second Research Project Path

Step	Question	Primary artifacts
1	What has been implemented?	PROJECT_STATUS.md, docs/data/project_status.json, EVIDENCE_CONTRACT.md, ARTIFACT_GUIDE.md, QUALITY_GATES.md, PUBLIC_SURFACE_QA.md, FIGURE_INDEX.md, docs/data/evidence_contract.json, docs/data/artifact_index.json, docs/data/figure_index.json, docs/data/live_publication_status.json, docs/data/quality_gates.json, docs/data/mirror_parity.json, docs/data/public_surface_qa.json, docs/data/scope_claims_audit.json, docs/data/publication_audit.json, docs/data/task_surface_integrity.json, docs/data/website_integrity.json
2	Are source facts consistently presented?	SOURCE_ALIGNMENT_AUDIT.md, docs/data/source_alignment_audit.json, scripts/validate_source_alignment.py
3	What do the current results mean?	RESEARCH_TAKEAWAYS.md, docs/data/research_takeaways.json, docs/data/summary_metrics.json
4	How do I reproduce it?	REPRODUCIBILITY.md, docs/data/reproducibility_matrix.json, notes/reproducibility_audit.md
5	What is one model input?	results/episode_task_suite/windows.csv, results/episode_task_suite/feature_manifest.json, results/episode_task_suite/available_modalities.json
6	Are the task results backed by files?	results/episode_task_suite/summary_report.json, results/episode_task_suite/neural_mlp/, docs/data/summary_metrics.json
7	What is still pending?	results/omni_finetune/DATA_BLOCKER_REPORT.md, results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md, scripts/omni/discover_xperience10m_sources.py

Human-readable artifact guide: ARTIFACT_GUIDE.md. Project status: PROJECT_STATUS.md and docs/data/project_status.json. Research Takeaways: RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json. Official dataset-card alignment: XPERIENCE10M_DATASET_CARD_ALIGNMENT.md and docs/data/xperience10m_dataset_card_alignment.json. Source alignment: SOURCE_ALIGNMENT_AUDIT.md and docs/data/source_alignment_audit.json. Release checks: QUALITY_GATES.md and docs/data/quality_gates.json. Public project surface: PUBLIC_SURFACE_QA.md and docs/data/public_surface_qa.json. Live publication status: docs/data/live_publication_status.json. Machine-readable project packet: docs/data/project_packet.json. Source-of-truth artifact index: docs/data/artifact_index.json. Source-of-truth figure index: FIGURE_INDEX.md and docs/data/figure_index.json. Source-of-truth brand asset index: docs/data/brand_assets.json.

Current Research Scope And Supporting Checks

Project layer	Evidence	Current scope
Project status	PROJECT_STATUS.md, docs/data/project_status.json	compact current-state table
Data windows	results/episode_task_suite/windows.csv, shared_windows.npz, summary_report.json	one public sample episode
Feature contract	results/episode_task_suite/feature_manifest.json, available_modalities.json	8,378 current features; audio documented but not featurized
Evaluation protocol	EVALUATION_PROTOCOL.md, docs/data/evaluation_protocol.json	windowing, chronological split, leakage controls, and task metrics
Research Takeaways	RESEARCH_TAKEAWAYS.md, docs/data/research_takeaways.json, scripts/build_research_takeaways.py	generated interpretation of the committed metrics and scale-up status
12-task suite	per-task metrics.json, predictions, confusion matrices	chronological single-episode split
Neural heads	results/episode_task_suite/neural_mlp/	compact MLP heads, not a foundation model
Research directions	research_direction_taxonomy.json, extension probe results	direct/proxy/diagnostic evidence, not full solutions
Task surface integrity	docs/data/task_surface_integrity.json, scripts/validate_task_surface.py	public cards use human-readable names, modality thumbnails, and the walkthrough/player data contract
Qwen3-Omni	DATA_BLOCKER_REPORT.md, MULTI_EPISODE_ACCESS_STATUS.md	setup-stage until 32 valid episodes are available
Scale-up readiness	docs/data/scope_claims_audit.json, scripts/validate_scope_claims.py	setup-stage 32ep artifacts stay separate from completed held-out-episode metrics
Mirror parity	docs/data/mirror_parity.json, scripts/validate_mirror_parity.py	prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files
Release package	docs/data/publication_audit.json, scripts/validate_publication_package.py	public files/HF bundles only, with current-card checks
Public project surface	PUBLIC_SURFACE_QA.md, docs/data/public_surface_qa.json, scripts/build_public_surface_qa.py	repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, and reader-facing copy
Website integrity	docs/data/website_integrity.json, scripts/validate_website_integrity.py	local links, anchors, JSON bundles, and referenced images only
Release checks	QUALITY_GATES.md, docs/data/quality_gates.json, scripts/build_quality_gates.py	automated release checks plus live post-publish verification
Live publication	docs/data/live_publication_status.json, scripts/verify_live_publication.py	last public GitHub/HF URL verification after upload
Official dataset card alignment	XPERIENCE10M_DATASET_CARD_ALIGNMENT.md, docs/data/xperience10m_dataset_card_alignment.json	official source scope, public sample card, HF API listing, gated access, modality coverage, scale, and this repo's single-episode scope
Source alignment	SOURCE_ALIGNMENT_AUDIT.md, docs/data/source_alignment_audit.json, scripts/validate_source_alignment.py	validates full-dataset facts, sample-card facts, API-listing caveats, and current-project markers
Brand assets	assets/brand/, docs/assets/brand/, scripts/build_brand_assets.py	Generated project logo system packaged for favicon, header, card, README, and social preview use
Figure index	FIGURE_INDEX.md, docs/data/figure_index.json, scripts/build_figure_index.py	public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance
Artifact index	docs/data/artifact_index.json, scripts/build_artifact_index.py	compact project-artifact catalog with stable hashes
Citation metadata	PROJECT_README.md, docs/data/project_manifest.json, GitHub CITATION.cff	code/data license boundary remains explicit

What Is Included

• ARTIFACT_GUIDE.md: human-readable map of project scope, data contract, task evidence, platform mirrors, and scale-up status
• PROJECT_STATUS.md and docs/data/project_status.json: compact current-state decision table
• REPRODUCIBILITY.md and docs/data/reproducibility_matrix.json: public commands, expected outputs, exact-match reproduction evidence, and current scale-up requirements
• EVALUATION_PROTOCOL.md and docs/data/evaluation_protocol.json: generated task protocol, split policy, leakage controls, and current limitations
• RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json: generated metric interpretation and scale-up readout
• results/**/*.json: verified metrics and metadata for minimal and neural MLP runs
• results/**/*.csv: predictions, confusion matrices, per-class metrics, windows, boundaries
• results/**/history.json: neural MLP training traces
• docs/assets/*.svg and docs/assets/*.png: generated diagrams, charts, and overview figures
• docs/assets/brand/ and assets/brand/: generated project logo mark, favicon variants, apple-touch icon, and social card
• docs/assets/task_suite_infographic.png: task-suite infographic with the shared processing contract, all 12 task families, verified metric overlays, and enlarged public-sample modality thumbnails below the task map
• docs/assets/modalities/ and docs/data/modality_atlas.json: small derived sample thumbnails and metadata for the responsive modality atlas
• docs/data/summary_metrics.json: dashboard-readable summary bundle
• docs/data/evidence_contract.json: machine-readable project scope
• XPERIENCE10M_DATASET_CARD_ALIGNMENT.md and docs/data/xperience10m_dataset_card_alignment.json: official Xperience-10M dataset-card, public sample-card, and HF API metadata alignment summary
• SOURCE_ALIGNMENT_AUDIT.md and docs/data/source_alignment_audit.json: generated report that source facts and current-project markers are preserved across public surfaces
• FIGURE_INDEX.md and docs/data/figure_index.json: visual evidence index for public figures, charts, thumbnails, dimensions, hashes, and source scripts
• docs/data/artifact_index.json: source-of-truth project-artifact catalog with stable-file hashes
• docs/data/mirror_parity.json: prepared Space/artifact/model mirror parity check, including critical website HTML
• docs/data/scope_claims_audit.json: machine-readable scale-up readiness report for historical 32ep setup/provenance identifiers
• docs/data/publication_audit.json: machine-readable release package and public-card freshness report
• PUBLIC_SURFACE_QA.md and docs/data/public_surface_qa.json: public project-surface report for the repo, website, and Hugging Face cards
• docs/data/task_surface_integrity.json: machine-readable task-card and walkthrough-player report
• docs/data/website_integrity.json: machine-readable website local-reference report
• QUALITY_GATES.md and docs/data/quality_gates.json: human-readable and machine-readable release checks
• docs/data/live_publication_status.json: last live public URL verification after upload
• docs/data/project_manifest.json: machine-readable public URL and citation metadata
• docs/data/project_packet.json: machine-readable project path and scope summary
• docs/data/research_directions.json: generated four-track taxonomy for the website
• docs/data/research_direction_extensions.json: four extra data-backed probes, one per research direction
• docs/data/task_walkthroughs.json: human-readable task names, modality links, input/process/output contracts, and walkthrough-player data for all 12 tasks
• results/episode_task_suite/research_directions/: JSON, CSV, and Markdown task-to-research-track mapping
• results/episode_task_suite/research_direction_extensions/: metrics, prediction CSVs, rank CSVs, and Markdown summary for the four extension probes
• results/episode_task_suite/task_walkthroughs/: case-study walkthroughs for every task contract
• scripts/*.py: reproduction scripts
• scripts/export_modality_atlas_assets.py: regenerates the responsive modality-card thumbnails and manifest from the local public sample
• scripts/build_artifact_index.py: source-of-truth artifact-index builder
• scripts/build_research_takeaways.py: regenerates Research Takeaways from committed metric artifacts
• scripts/validate_mirror_parity.py: prepared mirror parity validator
• scripts/validate_scope_claims.py: keeps Qwen3-Omni setup status separate from completed 32-episode results
• scripts/validate_publication_package.py: public bundle validator
• scripts/build_public_surface_qa.py: public project-surface report builder
• scripts/validate_website_integrity.py: website local-reference validator
• notes/*.md: interpretation and reproducibility notes

The companion model repo stores the lightweight model checkpoints and mirrors the binary arrays (model.npz, model.pt, and compact neural prediction arrays). This artifact dataset stays focused on inspectable CSV/JSON/Markdown, scripts, notes, and visual assets:

https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines

Links

Resource	URL
Hugging Face Space	https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite
Live Hugging Face app	https://cy0307-ropedia-xperience-10m-task-suite.static.hf.space/
Hugging Face collection	https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite
Minimal and neural task baseline repo	https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines
GitHub repo	https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite
GitHub Pages dashboard	https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/
Xperience-10M website	https://ropedia.com/dataset
Xperience-10M release page	https://ropedia.com/blog/20260316_xperience_10m
Ropedia GitHub organization	https://github.com/Ropedia
HOMIE Toolkit	https://github.com/Ropedia/HOMIE-toolkit
Xperience-10M dataset	https://huggingface.co/datasets/ropedia-ai/xperience-10m
Xperience-10M sample	https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample

Scope

The artifacts validate one public sample episode:

• 5,821 aligned frames
• 1,161 sliding windows
• 8,378 current feature dimensions, with audio documented but not featurized
• 12 human-readable supervised/self-supervised task cards
• minimal linear/ridge baselines and neural MLP heads for all 12 tasks
• four direction-extension probes with minimal and neural MLP baselines
• chronological 70/30 split

For research conclusions, rerun the same scripts over many episodes and evaluate on held-out episodes.

Neural MLP Result Snapshot

These are single-episode chronological-split metrics. They are useful for debugging task definitions and input contracts; cross-episode conclusions require held-out episodes.

Task	Neural metric	Minimal metric
Action Recognition macro-F1	0.0263	0.0500
Procedure Step Recognition macro-F1	0.0175	0.0495
Action Boundary Detection macro-F1	0.6485	0.6552
Next-Action Prediction macro-F1	0.0235	0.0593
Hand Trajectory Forecasting MPJPE, lower is better	0.1116	0.8223
Contact State Prediction macro-F1	1.0000	1.0000
Object Relevance Prediction micro-F1	0.1798	0.1839
Language Grounding MRR	0.0178	0.0172
Cross-Modal Retrieval MRR	0.1530	0.2634
Cross-Modal Reconstruction R2	-0.0102	-0.0160
Temporal Order Verification F1	0.8718	0.5487
Multimodal Synchronization Detection F1	0.7335	0.4866

Primary NN artifact path:

results/episode_task_suite/neural_mlp/<task>/

Four Research Directions

The current 12 tasks are organized into the four Ropedia research directions with two baselines per task: minimal interpretable heads and neural MLP heads.

Direction	Current status	Evidence
A. Human Modeling & Motion Understanding	partially implemented	hand trajectory and contact are direct; action/object tasks are proxies
B. 3D/4D Reconstruction & Neural Rendering	proxy tasks only	retrieval, reconstruction, and misalignment diagnose prerequisites
C. Egocentric Vision & Interaction	strongest implemented track	6 direct tasks plus order/alignment diagnostics
D. Scene Reconstruction & World Modeling	early proxy tasks	state, object, retrieval, reconstruction, and temporal probes

Primary taxonomy artifact:

results/episode_task_suite/research_directions/research_direction_taxonomy.json

Four Direction-Extension Probes

The artifact bundle also includes one extra coded probe for each Ropedia research direction. These are still single-episode diagnostics, but they make the four-direction roadmap concrete.

Direction	Extension task	Minimal	Neural MLP
A. Human Modeling & Motion Understanding	Body and Hand Motion Intensity	0.7827 macro-F1	0.7986 macro-F1
B. 3D/4D Reconstruction & Neural Rendering	Multi-View Consistency Retrieval	0.5534 MRR	0.3469 MRR
C. Egocentric Vision & Interaction	Action Phase Progress Estimation	0.3416 MAE	0.3038 MAE
D. Scene Reconstruction & World Modeling	Short-Horizon Ego-Motion Forecasting	0.1989 MAE	0.0989 MAE

Primary extension artifact:

results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json

Task Walkthroughs

Each task has a human-readable research name, task card, case study, input contract, middle process modules, output contract, modality list, metric, and current limitation. The website mirrors these records as an interactive scrub/play walkthrough storyboard for onboarding a junior researcher or engineer:

results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md

Pending 32-Episode Pilot

Item	Value
Selection strategy	stratified round-robin across top-level session UUIDs
Candidate scan	first 64 top-level session UUIDs
Valid complete candidates	680
Selected pilot episodes	32 from 32 session UUIDs
Estimated raw subset	about 72.0 GB
Excluded file type	visualization.rrd
Blocker	HF gated dataset approval pending