--- 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 ![Ropedia Xperience-10M Task Suite logo](assets/brand/xperience10m-logo-social-card.png) 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.

Ropedia Xperience-10M logo

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` |