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metadata 
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

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

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.

@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/