Remove stale docs/data/reviewer_scorecard.json

docs/data/reviewer_scorecard.json

@@ -1,140 +0,0 @@
-{
-  "title": "Ropedia Xperience-10M Task Suite Reviewer Scorecard",
-  "version": "2026-06-01",
-  "decision": "public_sample_pipeline_verified_multi_episode_omni_data_gated",
-  "scope_boundary": {
-    "validated_episode_count": 1,
-    "aligned_frames": 5821,
-    "sliding_windows": 1161,
-    "current_feature_dimensions": 8378,
-    "core_task_count": 12,
-    "neural_head_count": 12,
-    "direction_extension_probe_count": 4,
-    "audio_featurized": false,
-    "raw_xperience10m_data_redistributed": false,
-    "qwen3_omni_32_episode_claim": false
-  },
-  "rows": [
-    {
-      "area": "Public-sample pipeline",
-      "status": "verified",
-      "evidence": [
-        "results/episode_task_suite/summary_report.json",
-        "results/episode_task_suite/windows.csv",
-        "results/episode_task_suite/feature_manifest.json"
-      ],
-      "readout": "One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,378-dimensional current feature contract."
-    },
-    {
-      "area": "Task suite",
-      "status": "verified",
-      "evidence": [
-        "scripts/episode_task_suite.py",
-        "results/episode_task_suite/",
-        "docs/data/summary_metrics.json"
-      ],
-      "readout": "All 12 task contracts have committed metrics, predictions, and minimal baseline outputs."
-    },
-        {
-            "area": "Neural heads",
-            "status": "verified",
-            "evidence": [
-                "scripts/neural_task_models.py",
-                "results/episode_task_suite/neural_mlp/"
-            ],
-            "readout": "Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split."
-        },
-        {
-            "area": "Evaluation protocol",
-            "status": "verified",
-            "evidence": [
-                "EVALUATION_PROTOCOL.md",
-                "docs/data/evaluation_protocol.json",
-                "scripts/build_evaluation_protocol.py"
-            ],
-            "readout": "Windowing, chronological split, per-task metrics, leakage controls, and unsupported interpretations are generated from committed metric artifacts."
-        },
-        {
-            "area": "Official dataset wording",
-            "status": "verified",
-      "evidence": [
-        "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
-        "docs/data/xperience10m_dataset_card_alignment.json"
-      ],
-            "readout": "Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access boundary, sample license/tooling, and unsupported claims."
-        },
-        {
-            "area": "Source alignment audit",
-            "status": "verified",
-            "evidence": [
-                "SOURCE_ALIGNMENT_AUDIT.md",
-                "docs/data/source_alignment_audit.json",
-                "scripts/validate_source_alignment.py"
-            ],
-            "readout": "Source facts and boundary markers are checked across repo docs, website, and HF cards."
-        },
-        {
-            "area": "Website and HF mirrors",
-      "status": "verified",
-      "evidence": [
-        "docs/data/website_integrity.json",
-        "docs/data/mirror_parity.json",
-        "docs/data/live_publication_status.json"
-      ],
-      "readout": "Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been checked after upload."
-    },
-    {
-      "area": "Publication hygiene",
-      "status": "verified",
-      "evidence": [
-        "docs/data/publication_audit.json",
-        "QUALITY_GATES.md",
-        "docs/data/quality_gates.json"
-      ],
-      "readout": "Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and stale presentation copy."
-    },
-    {
-      "area": "Reproducibility",
-      "status": "verified_for_public_sample",
-      "evidence": [
-        "REPRODUCIBILITY.md",
-        "docs/data/reproducibility_matrix.json",
-        "notes/reproducibility_audit.md"
-      ],
-      "readout": "The public sample workflow has explicit commands, expected outputs, and exact-match audit evidence."
-    },
-    {
-      "area": "Qwen3-Omni fine-tuning",
-      "status": "data_gated_not_model_quality_claim",
-      "evidence": [
-        "results/omni_finetune/DATA_BLOCKER_REPORT.md",
-        "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
-      ],
-      "readout": "The 32-episode LoRA pilot is prepared, but no real held-out 32-episode result is claimed until gated data access, manifest construction, training, and held-out evaluation pass."
-    },
-    {
-      "area": "Raw Xperience-10M redistribution",
-      "status": "not_included",
-      "evidence": [
-        "DATA_NOTICE.md",
-        "docs/data/publication_audit.json"
-      ],
-      "readout": "Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded."
-    }
-  ],
-  "fast_reviewer_route": [
-    "Read REVIEWER_SCORECARD.md and EVIDENCE_CONTRACT.md to establish what is claimed.",
-        "Open docs/data/reviewer_packet.json for the machine-readable review path.",
-        "Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
-        "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
-        "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
-        "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
-    "Inspect results/omni_finetune/DATA_BLOCKER_REPORT.md before judging Qwen3-Omni scale-up status."
-  ],
-  "do_not_infer": [
-    "Do not infer cross-episode generalization from the single public sample.",
-    "Do not treat historical 32ep path names as real 32-episode training results.",
-    "Do not treat the current reconstruction task as pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
-    "Do not assume audio has entered the current 8,378-dimensional baseline feature vector; it is documented and visualized but not yet featurized."
-  ]
-}