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 nine layers:

1. Reviewer scorecard: one compact table for first-pass current-state decisions.
2. Proof boundary: what is claimed, what is readiness-only, and what remains gated by data access.
3. Official source alignment: what the upstream Xperience-10M dataset card, public sample card, and HF API metadata say, and which parts this repo currently covers.
4. Evaluation protocol: windowing, split policy, per-task metrics, leakage controls, and unsupported interpretations.
5. Visual evidence: public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.
6. Data contract: how one public Xperience-10M sample episode becomes aligned model windows and feature blocks.
7. Task evidence: minimal and neural results for the 12 task contracts plus four research-direction extension probes.
8. Reproducibility: public commands, expected outputs, and exact-match audit evidence for the single-episode pipeline.
9. 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
REVIEWER_SCORECARD.md	Gives the fastest current decision table: verified, data-gated, and excluded claims.
EVIDENCE_CONTRACT.md	Defines which claims are verified and which are explicitly not claimed.
QUALITY_GATES.md	Lists the automated release gates and post-publish checks required before presenting a release as current.
EVALUATION_PROTOCOL.md	Defines the task unit, chronological split, metrics, leakage controls, and unsupported interpretations.
XPERIENCE10M_DATASET_CARD_ALIGNMENT.md	Aligns this repo's public dataset wording with the official gated Xperience-10M card, sample card, and HF API metadata.
SOURCE_ALIGNMENT_AUDIT.md	Verifies source-alignment markers across repo, website, and HF cards.
FIGURE_INDEX.md	Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.
docs/data/brand_assets.json	Catalogs the generated logo system, favicon, app icon, social card, dimensions, hashes, and usage roles.
REPRODUCIBILITY.md	Defines public reproduction commands, expected outputs, and unreproducible boundaries.
docs/data/artifact_index.json	Lists reviewer-critical files with existence, size, and stable hashes.
docs/data/figure_index.json	Machine-readable visual asset index for website and HF mirrors.
docs/data/reviewer_scorecard.json	Machine-readable copy of the reviewer decision table.
docs/data/xperience10m_dataset_card_alignment.json	Machine-readable source-alignment summary, including gated metadata, sample license/tooling, and unsupported claims.
docs/data/source_alignment_audit.json	Machine-readable pass/fail audit for source facts and public-card boundary markers.
docs/data/evaluation_protocol.json	Machine-readable evaluation protocol generated from committed metrics.
docs/data/quality_gates.json	Machine-readable quality-gate summary for website and HF mirrors.
docs/data/live_publication_status.json	Last live GitHub/HF verification after upload.
docs/data/mirror_parity.json	Confirms prepared HF Space, artifact, and model mirrors match the repo for critical data, figures, website HTML, and validator scripts.
docs/data/publication_audit.json	Confirms public bundles exclude raw data, Python caches, heavy archives, token strings, and stale public-card figure references.
docs/data/scope_claims_audit.json	Confirms historical 32ep smoke-run identifiers are not presented as real 32-episode results.
docs/data/task_surface_integrity.json	Confirms the public 12-task cards use readable task names, modality thumbnails, and the interactive walkthrough/player data contract.
docs/data/website_integrity.json	Confirms local site links, anchors, JSON bundles, and referenced images resolve.
docs/data/reviewer_packet.json	Gives the shortest machine-readable reviewer route.

Official Source Alignment

Artifact	What it proves
XPERIENCE10M_DATASET_CARD_ALIGNMENT.md	Human-readable summary of the official gated Xperience-10M dataset card, public sample card, API listing snapshot, scale, modalities, access boundary, intended uses, and limitations.
docs/data/xperience10m_dataset_card_alignment.json	Machine-readable copy of the same alignment facts for website and HF mirrors.
SOURCE_ALIGNMENT_AUDIT.md	Generated audit showing source facts, sample license/tooling, API-listing caveat, and current project boundary.
docs/data/source_alignment_audit.json	Machine-readable audit of source metadata, source-boundary markers, and HF card parity.
scripts/validate_source_alignment.py	Regenerates the source-alignment audit from committed alignment facts and public card text.

Evaluation Protocol

Artifact	What it proves
EVALUATION_PROTOCOL.md	Human-readable task protocol: window unit, chronological split, input/target contracts, primary metrics, leakage controls, and unsupported interpretations.
docs/data/evaluation_protocol.json	Machine-readable protocol generated from committed task metrics.
scripts/build_evaluation_protocol.py	Regenerates the protocol from docs/data/summary_metrics.json and source task artifacts.

Visual Evidence

Artifact	What it proves
FIGURE_INDEX.md	Human-readable catalog of public visual assets, dimensions, hashes, roles, and source scripts.
docs/data/figure_index.json	Machine-readable visual asset index mirrored to the website, artifact dataset, and model repo.
scripts/build_figure_index.py	Regenerates visual-asset hashes, dimensions, and source-script provenance.
docs/data/brand_assets.json	Machine-readable logo/brand manifest for the website, README, Hugging Face cards, favicon, app icon, and social preview.
docs/assets/brand/xperience10m-logo-social-card.png	Project logo card used by README and Hugging Face cards.
scripts/build_brand_assets.py	Regenerates deterministic logo derivatives, favicon variants, app icons, and the social card from the generated logo mark.
docs/assets/task_suite_infographic.png	Primary 12-task suite map with sample modality thumbnails.
docs/assets/pipeline_diagram.png	Episode-to-task pipeline overview.
docs/assets/task_architectures.png	Minimal and neural task-head architecture map.

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.
docs/data/modality_atlas.json	The responsive website modality cards and derived thumbnail assets are documented without redistributing raw data.
docs/assets/modalities/	Small public-sample thumbnails used by the readable modality atlas.

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/	Human-readable research names and case studies explaining input, process modules, output, metric, limitation, and the website task-player data.
scripts/validate_task_surface.py	Fails publication if public task cards drift back to raw artifact ids or lose their thumbnail/player wiring.

Reproducibility

Artifact	What it proves
REPRODUCIBILITY.md	Public commands, expected outputs, and non-reproducible boundaries are explicit.
docs/data/reproducibility_matrix.json	Machine-readable command matrix for website and HF mirrors.
notes/reproducibility_audit.md	The last exact metric audit rebuilt the public-sample metrics and matched committed artifacts.

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/MULTI_EPISODE_ACCESS_STATUS.md	Documents the public multi-episode access boundary and selected 32-episode pilot plan without private infrastructure details.
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.