ARTIFACT_GUIDE.md

Artifact Guide

This guide is the human-readable map for the public Ropedia Xperience-10M task suite artifacts. It complements the machine-readable docs/data/artifact_index.json.

The project intentionally separates four layers:

1. Proof boundary: what is claimed, what is smoke-only, and what remains gated by data access.
2. Data contract: how one public Xperience-10M sample episode becomes aligned model windows and feature blocks.
3. Task evidence: minimal and neural results for the 12 task contracts plus four research-direction extension probes.
4. Scale-up status: scripts and reports for the planned 32-episode Qwen3-Omni pilot, without claiming those results before data access lands.

Start Here

Artifact	Why to open it first
EVIDENCE_CONTRACT.md	Defines which claims are verified and which are explicitly not claimed.
docs/data/artifact_index.json	Lists reviewer-critical files with existence, size, and stable hashes.
docs/data/publication_audit.json	Confirms public bundles exclude raw data, Python caches, heavy archives, and token strings.
docs/data/reviewer_packet.json	Gives the shortest machine-readable reviewer route.

Data Contract

Artifact	What it proves
results/episode_task_suite/windows.csv	The sample episode is converted into 1,161 aligned 20-frame windows.
results/episode_task_suite/feature_manifest.json	The current input vector has 8,378 dimensions with explicit feature-block boundaries.
results/episode_task_suite/available_modalities.json	The sample modality coverage is recorded, including the current audio-featurization boundary.

Task Evidence

Artifact	What it proves
results/episode_task_suite/summary_report.json	The 12 task contracts, chronological split, and minimal/neural metrics.
results/episode_task_suite/neural_mlp/	Matching PyTorch MLP heads for the same task contracts and feature windows.
results/episode_task_suite/research_directions/	Mapping from the 12 tasks to the four Ropedia research directions.
results/episode_task_suite/research_direction_extensions/	Four additional coded probes, one per research direction.
results/episode_task_suite/task_walkthroughs/	Junior-friendly case studies explaining input, process modules, output, metric, and limitation.

Platform Mirrors

Surface	Purpose
GitHub Pages dashboard	Primary public website and visual reviewer flow.
Hugging Face Space	Static app mirror for HF users.
HF artifact dataset	Derived CSV/JSON/Markdown/figure artifacts without raw Xperience-10M data.
HF baseline model repo	Lightweight minimal and neural task-head model files.
HF collection	One grouped landing page for the Space, artifact dataset, and baseline model repo.

Scale-Up Boundary

Artifact	Current status
results/omni_finetune/DATA_BLOCKER_REPORT.md	Documents why no real 32-episode Qwen3-Omni result is claimed yet.
results/omni_finetune/A100_HF_RELAY_STATUS.md	Documents the pending A100-to-H20 relay and selected 32-session pilot plan.
scripts/omni/discover_xperience10m_sources.py	Discovery gate for valid multi-episode Xperience-10M sources.
scripts/omni/train_qwen3_omni_lora.py	Training entrypoint for the Qwen3-Omni LoRA pilot after the data gate passes.

What Is Not Included

The public repo and Hugging Face mirrors do not redistribute raw Xperience-10M videos, raw annotation.hdf5, gated private dataset files, full Qwen weights, or large full checkpoints. Dataset use remains governed by the official Ropedia/Xperience-10M terms.