| --- |
| 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 Hugging Face dataset repository is the public-safe artifact layer for the |
| **Ropedia Xperience-10M Task Suite** by **Chaoyue He**. The task suite is built |
| on the Xperience-10M egocentric dataset released by Ropedia; this repository |
| publishes derived files, metrics, viewer tables, figures, manifests, result |
| summaries, and model-diagnostic packages without redistributing gated raw data. |
|
|
| The project is organized into two evidence lines: |
|
|
| - **Line 1: one public sample episode.** This line supports raw-file inspection, |
| 20-frame windows, 20 task contracts, Minimal baselines, Neural MLP baselines, |
| and 40/40 direct single-episode task scores. |
| - **Line 2: selected 128 episodes.** This line supports same-split comparison |
| across metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and |
| Cosmos3-Nano Future Window diagnostics. It contains 140/140 selected-128 |
| scores: 134 direct scores and 6 compact-proxy scores. |
|
|
| Across both lines, the public matrix contains **180/180 method-task records**. |
| Direct scores and compact-proxy estimates are intentionally kept separate. |
|
|
| ## What This Dataset Repository Contains |
|
|
| This repository is useful when you want the public evidence files rather than |
| only the website summary. It contains: |
|
|
| - Hugging Face Dataset Viewer tables for the public sample and selected-128 |
| windows. |
| - Machine-readable task contracts, result matrices, proxy audits, quality gates, |
| glossary records, public mirror maps, and website integrity checks. |
| - Public-safe metrics, predictions, confusion matrices, charts, figures, and |
| reports for Minimal, Neural MLP, metadata/raw baselines, Qwen3-Omni, and |
| Cosmos3 diagnostics. |
| - Source-linked selected-128 feature/index records that point back to official |
| gated Xperience-10M episode paths without republishing the raw episodes. |
| - Website assets used by the GitHub Pages dashboard and Hugging Face mirrors. |
|
|
| ## Dataset Viewer Configs |
|
|
| Use the viewer configs separately. They are different evidence lines and should |
| not be concatenated for scoring. |
|
|
| - `episode_sample/public_sample`: one public Xperience-10M sample episode, |
| exposed as `viewer/episode_windows.parquet` and `viewer/episode_windows.jsonl`. |
| It contains 1,161 aligned windows with action/subtask labels, object labels, |
| time ranges, modality summaries, feature dimensions, and source-file links. |
| - `selected_128_windows/selected_128`: selected 128-episode public-safe window |
| metadata, exposed as `viewer/selected128_windows.parquet` and |
| `viewer/selected128_windows.jsonl`. It contains 34,269 exported windows linked |
| to official gated episode paths and selected-128 split metadata. |
|
|
| ## Start Here |
|
|
| For the shortest path through the artifact repository: |
|
|
| 1. Open `PROJECT_STATUS.md` for the current state. |
| 2. Open `TWO_EVIDENCE_LINES.md` and `docs/data/two_evidence_lines.json` to see |
| how Line 1 and Line 2 are separated. |
| 3. Open `TASK_SUITE_20.md` and `docs/data/task_suite_20.json` for the 20 task |
| contracts. |
| 4. Open `TASK_METHOD_20_RESULT_MATRIX.md` and |
| `docs/data/task_method_20_result_matrix.json` for the 180-record matrix. |
| 5. Open `TASK_METHOD_20_GAP_AUDIT.md` and |
| `docs/data/task_method_20_gap_audit.json` before interpreting proxy-marked |
| cells. |
| 6. Open `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md` and |
| `docs/data/xperience10m_128_episode_feature_index.json` for selected-128 |
| source and feature provenance. |
| 7. Open `ARTIFACT_GUIDE.md` if you need the full file map. |
|
|
| ## Main Artifact Groups |
|
|
| - `viewer/`: Dataset Viewer tables for public sample windows and selected-128 |
| windows. |
| - `docs/data/`: canonical JSON records for task contracts, matrices, audits, |
| public mirrors, glossary terms, quality gates, website integrity, and model |
| comparison summaries. |
| - `docs/assets/`: charts, branding, task icons, modality thumbnails, pipeline |
| figures, and website graphics. |
| - `results/episode_task_suite/`: public-sample window tables, feature manifests, |
| Minimal baselines, Neural MLP outputs, task walkthroughs, predictions, and |
| metric summaries. |
| - `results/omni_finetune/verified_public/`: public-safe Qwen3-Omni and Cosmos3 |
| diagnostic packages, metrics, predictions, package audits, and run summaries. |
| - `results/single_episode_diagnostics/`: additional public-sample diagnostic |
| labels, object records, and explorer inputs. |
|
|
| ## How To Interpret Scores |
|
|
| - The raw metric value is the value to cite or compare. |
| - The normalized radar value is a plotting value used only for visual |
| comparison across metrics. |
| - Direct scores use the task target directly available in the relevant evidence |
| line. |
| - Compact-proxy scores use public-safe compact features when the direct raw |
| target is unavailable in the selected-128 export. These cells remain marked in |
| `docs/data/task_method_20_gap_audit.json` and the result matrix. |
|
|
| ## Data And Redistribution Boundary |
|
|
| This artifact dataset does **not** redistribute raw Xperience-10M MP4 files, |
| raw `annotation.hdf5`, `.rrd` visualization files, gated full-dataset contents, |
| Qwen3 base weights, Cosmos3 base weights, private logs, or full training |
| checkpoints. Use of Xperience-10M remains governed by the official Ropedia |
| Xperience-10M dataset card and access terms. |
|
|
| This repository publishes derived public-safe artifacts only: metrics, feature |
| summaries, predictions, manifests, figures, JSON records, and selected-source |
| links. |
|
|
| ## Related Repositories |
|
|
| - Project website: https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/ |
| - GitHub source: https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite |
| - HF Space: https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite |
| - Baseline model mirror: https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines |
| - Consolidated weights/results: https://huggingface.co/cy0307/ropedia-xperience-10m-weights-results |
| - Qwen3-Omni LoRA adapter: https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep |
| - Cosmos3-Super LoRA adapter: https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep |
| - Upstream gated dataset: https://huggingface.co/datasets/ropedia-ai/xperience-10m |
| - Public sample dataset: https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample |
|
|
| ## Citation |
|
|
| If you use these artifacts, cite this artifact dataset, the main Ropedia |
| Xperience-10M Task Suite, and the upstream Ropedia Xperience-10M dataset |
| according to its official card. |
|
|
| ```bibtex |
| @misc{he2026ropedia_xperience10m_task_suite_artifacts, |
| author = {Chaoyue He}, |
| title = {Ropedia Xperience-10M Task Suite Artifacts}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts}, |
| note = {Public-safe derived artifacts, viewer tables, metrics, and result records for the Ropedia Xperience-10M Task Suite} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| Project author: Chaoyue He. Contact and profile: |
| https://chaoyue0307.github.io/ |
|
|
