---
license: other
pretty_name: Xperience-10M Episode Task Suite Artifacts
tags:
  - robotics
  - embodied-ai
  - multimodal
  - ropedia
  - xperience-10m
  - evaluation
  - baseline
  - retrieval
task_categories:
  - robotics
  - time-series-forecasting
  - text-retrieval
language:
  - en
size_categories:
  - n<1K
---

# Xperience-10M Episode Task Suite Artifacts

This dataset repo contains the derived evidence layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, and reproduction scripts.

It does **not** contain raw Xperience-10M videos or raw `annotation.hdf5`. Download raw data only from the official Ropedia / Hugging Face sources and follow their terms.

Current scale-up status: the full `ropedia-ai/xperience-10m` Hugging Face
dataset is still gated for this account. The A100 relay has been configured to
poll access, download a 32-episode stratified pilot subset after approval,
validate it, transfer it to H20, and run the readiness gate. Until that
completes, the committed Qwen3-Omni artifacts remain smoke/debug evidence, not
real 32-episode held-out metrics.

## Why This Repo Exists

This is the reviewable half of the project. You can inspect the task outputs, compare the committed metrics, and understand the single-episode limitations without downloading the raw videos first.

## What Is Included

- `results/**/*.json`: verified metrics and metadata
- `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
- `docs/assets/*.svg` and `docs/assets/*.png`: generated diagrams, charts, and ChatGPT-image-backed overview figures
- `docs/assets/task_suite_infographic.png`: ChatGPT-image-backed infographic with low-resolution public-sample modality thumbnails, including audio waveform context, and verified metric overlays
- `docs/data/summary_metrics.json`: dashboard-readable summary bundle
- `scripts/*.py`: reproduction scripts
- `notes/*.md`: interpretation and reproducibility notes

Large derived `.npz` arrays are intentionally kept in the companion model repo where the minimal baseline weights live:

https://huggingface.co/cy0307/ropedia-minimal-task-baselines

## Links

| Resource | URL |
| --- | --- |
| Hugging Face Space | https://huggingface.co/spaces/cy0307/ropedia-episode-task-suite |
| Live Hugging Face app | https://cy0307-ropedia-episode-task-suite.static.hf.space/ |
| Hugging Face collection | https://huggingface.co/collections/cy0307/ropedia-episode-task-suite |
| Minimal model repo | https://huggingface.co/cy0307/ropedia-minimal-task-baselines |
| GitHub repo | https://github.com/ChaoYue0307/ropedia-episode-task-suite |
| GitHub Pages dashboard | https://chaoyue0307.github.io/ropedia-episode-task-suite/ |
| Xperience-10M website | https://ropedia.com/dataset |
| Xperience-10M release page | https://ropedia.com/blog/20260316_xperience_10m |
| Ropedia GitHub organization | https://github.com/Ropedia |
| HOMIE Toolkit | https://github.com/Ropedia/HOMIE-toolkit |
| Xperience-10M dataset | https://huggingface.co/datasets/ropedia-ai/xperience-10m |
| Xperience-10M sample | https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample |

## Scope

The artifacts validate one public sample episode:

- 5,821 aligned frames
- 1,161 sliding windows
- 8,378 current feature dimensions, with audio documented but not featurized
- 12 supervised/self-supervised task definitions
- chronological 70/30 split

For research claims, rerun the same scripts over many episodes and evaluate on held-out episodes.

## Pending 32-Episode Pilot

| Item | Value |
| --- | --- |
| Selection strategy | stratified round-robin across top-level session UUIDs |
| Candidate scan | first 64 top-level session UUIDs |
| Valid complete candidates | 680 |
| Selected pilot episodes | 32 from 32 session UUIDs |
| Estimated raw subset | about 72.0 GB |
| Excluded file type | `visualization.rrd` |
| Blocker | HF gated dataset approval pending |

![12-task infographic](assets/task_suite_infographic.png)

![Verified episode pipeline](assets/pipeline_diagram.png)

![Minimal task architectures](assets/task_architectures.png)