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

Ropedia Xperience-10M Task Suite Artifacts

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This dataset repository stores small derived artifacts for the Ropedia Xperience-10M task-suite project: metrics, predictions, manifests, reports, figures, website JSON, public-safe Qwen3-Omni diagnostic outputs, and the Cosmos3-Nano plus Cosmos3-Super diagnostic packages.

Project Identity

The Project identity mark is shared across the GitHub README, GitHub Pages dashboard, Hugging Face Space, artifact dataset, model mirrors, favicon, and social preview.

<p align="center"> <img src="docs/assets/brand/xperience10m-logo-mark-192.png" alt="Ropedia Xperience-10M logo" width="96"> </p>

Reusable assets: docs/assets/brand/xperience10m-logo-mark-512.png for the logo mark and docs/assets/brand/xperience10m-logo-social-card.png for the social card.

What To Open First

128-Episode Enhancement Pack

The no-new-episode suite push is recorded in TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json. It recommends multiscale_20s10_40s20_80s40, hierarchical action/subtask targets, label-normalized scoring, and compact raw-feature shards before adding more episodes.

Tier-2 Extension Baselines

The public-sample task layer now includes eight Tier-2 extension baselines in results/episode_task_suite/tier2_task_suite/ and docs/data/tier2_task_suite.json. They reuse the same 20-frame windows, 5-frame stride, feature manifest, chronological split, and minimal/neural head pattern as the core 12 tasks.

Unified 20-Task Suite

The public-sample task surface is now one unified 20-task suite in TASK_SUITE_20.md and docs/data/task_suite_20.json. All 20 task contracts reuse the same 20-frame windows, 5-frame stride, feature manifest, chronological split, and minimal/neural head pattern. The historical tier2_task_suite path is retained only for stable artifact links to provenance rows inside the unified suite. The unified radar chart is published as docs/assets/charts/unified_task_model_radar.svg with values in docs/data/unified_task_model_radar.json; the 9-method by 20-task completion matrix is complete at 180/180 scored method-task records and is published in docs/data/task_method_20_result_matrix.json, with two-line summaries in docs/assets/charts/two_evidence_line_map.svg, docs/data/two_evidence_lines.json, and docs/data/two_evidence_line_result_summary.json, with the explicit audit in docs/data/task_method_20_gap_audit.json and source-value audit in docs/data/task_method_20_source_audit.json. Split radars are in docs/assets/charts/single_episode_task_model_radar.svg and docs/assets/charts/episode128_task_model_radar.svg.

Public Surface Map

Use PUBLIC_READER_MAP.md and docs/data/public_reader_map.json to choose between the GitHub repo, GitHub Pages dashboard, HF Space, artifact dataset, baseline model repo, Qwen3/Cosmos model repos, and release-health checks without losing the full evidence trail.

Multilingual Entry Points

The canonical repo README now has eight public reader entry points: English, Chinese, Spanish, French, German, Japanese, Korean, and Portuguese. The machine-readable language map is in docs/data/language_versions.json; each Hugging Face mirror carries the same translated README files so readers can move between GitHub, the dashboard, the Space, the artifact dataset, and model cards without losing the evidence trail.

128-Episode Source and Feature Index

The selected 128-episode split is linked back to the official gated ropedia-ai/xperience-10m episode tree in XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md and docs/data/xperience10m_128_episode_feature_index.json. The public mirrors carry only public-safe processed artifacts: selection files, inspected manifests, dense multiscale window rows, metadata feature matrices, and result summaries.

The Hugging Face artifact dataset exposes the 34,269 selected-128 exported windows as a separate viewer config, selected_128_windows, with split selected_128 at viewer/selected128_windows.parquet. The one-sample episode viewer remains separate as episode_sample/public_sample; do not concatenate the two evidence lines when reading scores or dataset rows.

Language Entry Points

The repository keeps eight README entry points: English, Chinese, Spanish, French, German, Japanese, Korean, and Portuguese. The language map is in docs/data/language_versions.json; Hugging Face mirrors carry the same README files so GitHub, the dashboard, the Space, the artifact dataset, and model cards stay aligned.

Published Mirror Map

Use PUBLIC_READER_MAP.md and docs/data/public_reader_map.json to choose between the GitHub repo, GitHub Pages dashboard, HF Space, artifact dataset, baseline model repo, Qwen3-Omni and Cosmos3 model repos, and release-health checks. All entries point back to the same evidence trail.

Dataset Boundary

This artifact bundle contains derived artifacts only. It does not redistribute Raw Xperience-10M videos, raw annotation.hdf5, .rrd files, private gated dataset files, full Qwen weights, LoRA adapter weights, or large checkpoints. Use of the upstream Xperience-10M dataset remains governed by the official Ropedia/Xperience-10M access terms.

The implemented public-sample task suite uses one public Xperience-10M sample episode. The selected 128-episode Qwen3-Omni final diagnostic result uses a gated local dataset copy and publishes only public-safe metrics, predictions, manifests, reports, and audits. The Qwen3-Omni LoRA adapter weights are published separately at cy0307/ropedia-qwen3-omni-lora-128ep. Cosmos3-Nano remains an artifacts-only compatibility result. Cosmos3-Super Forward-Dynamics LoRA has a separate weight-bearing model repo at cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep.

Source alignment is mirrored through xperience10m_dataset_card_alignment.json and source_alignment_audit.json. The official gated dataset card records 31.9 TB on the live HF surface and an about-1PB full-scale storage statement; the committed API-listing snapshot records 12,103 episode folders as upstream metadata only, not local raw-data possession. The public sample remains under cc-by-nc-4.0, with the HOMIE Toolkit and Rerun 0.29.0 noted as source tooling. The official note that the data is limited in diversity is preserved.

Derived Artifacts

This bundle includes derived artifacts such as:

• —12-task single-episode metrics, predictions, feature manifests, and neural MLP result directories.
• —Audio-ablation summaries and generated chart assets.
• —Public website JSON and figure manifests.
• —The latest verified Qwen3-Omni LoRA v6 diagnostic package for the selected 96/16/16 episode split includes 34,269 exported windows, 4,032 held-out test predictions, 99.90% JSON validity, and public-safe metrics/predictions.
• —Historical Qwen3-Omni packages, including the earlier v2 strict-JSON diagnostic, for regression and prompt-contract comparison.
• —Verified Cosmos3-Nano future-window compatibility, Cosmos3-Super base-weight Reasoner evaluation, and Cosmos3-Super Forward-Dynamics LoRA public-safe packages for the same selected split family.
• —128-episode same-split simple/NN metadata baselines for the same 12 task ids, with unsupported markers where raw 128 sensor feature blocks are still needed.
• —A model-family grouped comparison that pairs 1-episode and 128-episode entries for task heads, Qwen3-Omni LoRA, Cosmos3-Nano, and Cosmos3-Super without mixing target types.

Related Hub Repositories

Citation

If you use these artifacts, cite this project and the upstream Ropedia Xperience-10M dataset according to the citation guidance in CITATION.cff and the official dataset card.

| Choose GitHub / website / HF entry point | PUBLIC_READER_MAP.md, docs/data/public_reader_map.json |