| --- |
| license: mit |
| pretty_name: Ropedia Xperience-10M Task Suite Artifacts |
| tags: |
| - embodied-ai |
| - multimodal |
| - xperience-10m |
| - evaluation |
| - qwen3-omni |
| configs: |
| - config_name: episode_sample |
| data_files: |
| - split: public_sample |
| path: viewer/episode_windows.parquet |
| - config_name: selected_128_windows |
| data_files: |
| - split: selected_128 |
| path: viewer/selected128_windows.parquet |
| --- |
| |
| # Ropedia Xperience-10M Task Suite Artifacts |
|
|
|  |
|
|
| 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 |
|
|
| | Reader goal | Artifact | |
| | --- | --- | |
| | Use the shared project identity assets | `docs/assets/brand/xperience10m-logo-mark-192.png`, `docs/assets/brand/xperience10m-logo-mark-512.png`, `docs/assets/brand/xperience10m-logo-social-card.png` | |
| | Trace the 128-episode source and feature map | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md`, `docs/data/xperience10m_128_episode_feature_index.json` | |
| | Read the project in 8 languages | `README.md`, `README.zh.md`, `README.es.md`, `README.fr.md`, `README.de.md`, `README.ja.md`, `README.ko.md`, `README.pt.md`, `docs/data/language_versions.json` | |
| | Choose the right public surface | `PUBLIC_READER_MAP.md`, `docs/data/public_reader_map.json` | |
| | Understand current scope | `PROJECT_STATUS.md` | |
| | Navigate all files | `ARTIFACT_GUIDE.md` | |
| | Interpret task metrics | `RESEARCH_TAKEAWAYS.md` | |
| | Check evaluation rules | `EVALUATION_PROTOCOL.md` | |
| | Inspect single-episode task results | `results/episode_task_suite/summary_report.json` | |
| | Inspect 128-episode same-split baselines | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md` | |
| | Inspect final Qwen3-Omni held-out diagnostic result | `docs/data/omni_finetune_verified_result.json` | |
| | Compare current versions and model groups | `docs/data/omni_model_comparison.json` | |
| | Compare Qwen3-Omni v5/v6 diagnostic runs | `docs/data/qwen3_v5_v6_comparison.json` | |
| | Compare Qwen3 v5/v6 diagnostic branches | `docs/data/qwen3_v5_v6_comparison.json` | |
| | Explain Qwen3-Omni v1-v6 run lineage | `QWEN3_OMNI_RUN_LINEAGE.md`, `docs/data/qwen3_omni_run_lineage.json` | |
|
|
| ## 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 |
|
|
| | Surface | URL | |
| | --- | --- | |
| | HF Space | https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite | |
| | Artifact dataset | https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts | |
| | Baseline model repo | https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines | |
| | Qwen3-Omni LoRA adapter repo | https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep | |
| | Cosmos3-Super Forward-Dynamics LoRA adapter repo | https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep | |
| | GitHub repo | https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite | |
|
|
| ## 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` | |
|
|
