Upload fail-closed AppGen NGC-F SFT v1 bundle

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README.md

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+---
+license: other
+task_categories:
+  - image-to-text
+tags:
+  - gui-agent
+  - vision-language
+  - supervised-fine-tuning
+configs:
+  - config_name: ngc-f-qwen25-absolute
+    data_files:
+      - split: train
+        path: data/ngc-f-qwen25-absolute.jsonl
+  - config_name: ngc-f-qwen3-normalized
+    data_files:
+      - split: train
+        path: data/ngc-f-qwen3-normalized.jsonl
+---
+
+# AppGen NGC SFT v1
+
+Portable, hash-audited MS-SWIFT training data for the NGC-F ablation (plus
+NGC-VT only when that optional arm is present in this revision). Images are
+procedurally rendered AppGen screenshots from the same 50 training
+environments used to construct the SFT rows. They are not real-device or user
+screenshots. No public benchmark, AndroidWorld evaluation, held-out
+evaluation, or third-party benchmark images are included.
+
+| Config | Arm | Family | Coordinates | Exposures |
+|---|---|---|---|---:|
+| `ngc-f-qwen25-absolute` | ngc-f | qwen25 | absolute-pixel | 3588 |
+| `ngc-f-qwen3-normalized` | ngc-f | qwen3 | normalized-1000 | 3588 |
+
+Each config contains 2,768 canonical navigation rows, 400 direct-grounding
+rows, and 420 completion-boundary replay exposures (3,588 total; 3,168 unique
+semantic examples). NGC-F uses action-only grounding targets: the assistant
+target is a single `<tool_call>` and contains no grounding `<think>`. Canonical
+navigation and completion replay rows retain their original
+`<think> + <tool_call>` targets.
+
+`source=appgen_direct_grounding_v2` identifies direct-grounding rows.
+Navigation and completion rows retain the canonical navigation source tag;
+completion duplicates are explicitly identified by `ngcf_v1_replay_role`
+(`penultimate_action` or `success_terminate`).
+
+Qwen2.5 coordinates are absolute screenshot pixels. Qwen3 coordinates are
+normalized to the integer 0--1000 frame. The two family configs are paired by
+semantic ID and differ only where the family coordinate/tool contract requires
+it.
+
+## Training reference
+
+The corresponding NGC-F run starts from the original Qwen Instruct backbone,
+uses one epoch, global batch 32, learning rate 5e-7, cosine scheduling with 5%
+warmup, bf16, ZeRO-2, seed 42, and full LLM tuning while freezing the vision
+encoder and multimodal aligner. The manifest records 113 optimizer updates.
+These are provenance/reference settings rather than loader defaults.
+
+## Provenance, privacy, and licensing
+
+The screenshots are generated HTML-to-PNG AppGen training-environment renders
+with synthetic task content; no real accounts, private conversations, or
+captured user/device data are intentionally included. Packaging is fail-closed:
+every image must be a PNG inside its row's generated environment and under the
+allowed training root, while benchmark/evaluation path tokens are rejected.
+Images are content-addressed and deduplicated across family configs.
+
+This dataset is published with `license: other`; redistribution/use remains
+subject to the AppGen project and any applicable asset terms. It does not
+redistribute model weights. `source_data/` preserves the exact original
+MS-SWIFT JSON bytes for audit purposes; those archival files contain original
+cluster paths and should not be used directly on another machine.
+
+Images use portable `images/sha256/...` paths and are deduplicated across all
+configs in this revision. `bundle_manifest.json` pins every data/image/source-contract
+hash. To recover a local MS-SWIFT JSON array:
+
+```bash
+python materialize_ms_swift.py \
+  --bundle-root . \
+  --config ngc-f-qwen25-absolute \
+  --output /data/appgen/qwen25_ngc_f_v1.json
+```

READY.json

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+{
+  "configs": [
+    "ngc-f-qwen25-absolute",
+    "ngc-f-qwen3-normalized"
+  ],
+  "manifest_path": "bundle_manifest.json",
+  "manifest_sha256": "fcc715553a9a73857a566ca3ea0c40d057b43dac63fd2a38259ed0f806fb4783",
+  "repo_id": "luca0621/appgen-sft-ngc-v1",
+  "rows_per_config": 3588,
+  "schema_version": "appgen-sft-ngc-hf-bundle-v1-ready",
+  "unique_image_files": 1912,
+  "unique_semantic_rows_per_config": 3168,
+  "validated": true
+}

contracts/ngc-f/READY.json

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+{
+  "manifest_path": "/data/appgen/sft_ngc_f_v1/manifest.json",
+  "manifest_sha256": "24999e3e10e6c2e31e3be385366027f0b40d247f3d26631d080dd7f652cefe91",
+  "optimizer_updates": 113,
+  "outputs": {
+    "qwen25": {
+      "path": "/data/appgen/sft_ngc_f_v1/qwen25_ngc_f_v1.json",
+      "rows": 3588,
+      "sha256": "41ff727b510d82d020a3dfce1ad3947bfbde7fb78816bb10cbc2f2fa1092f49b"
+    },
+    "qwen3": {
+      "path": "/data/appgen/sft_ngc_f_v1/qwen3_ngc_f_v1.json",
+      "rows": 3588,
+      "sha256": "f18d2087d31c475215cd55dda66463bf46c719daaee6da4e89c4a966cfdb5903"
+    }
+  },
+  "rows": 3588,
+  "schema_version": "appgen-sft-ngc-f-v1-ready",
+  "unique_semantic_rows": 3168,
+  "validated": true
+}

contracts/ngc-f/manifest.json

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+{
+  "checks": {
+    "all_images_exist": true,
+    "canonical_prefix_object_identical": true,
+    "completion_targets_keep_think": true,
+    "coordinate_family_contract": true,
+    "grounding_action_only": true,
+    "ready_written_last": true
+  },
+  "counts": {
+    "completion_replay_rows": 420,
+    "envs": 50,
+    "grounding_rows": 400,
+    "nav_rows": 2768,
+    "penultimate_replay_rows": 210,
+    "rows": 3588,
+    "tasks": 210,
+    "terminate_replay_rows": 210,
+    "unique_semantic_rows": 3168
+  },
+  "families": {
+    "qwen25": {
+      "completion_replay_sha256": "3d2c64fc99f04fa6e0ac5adb542216a4072fa93b41f1c77aaa19e9bed01dad9e",
+      "grounding_action_only_sha256": "22c5ab57166b776077db4b7bb3b1eb460969fdeee95dfb4e52b6f7a9bb1ed4ef",
+      "grounding_source_sha256": "8a0561405e4010a7ede5fa81fad04896cbbb2c3e9ec95b9d5352186e1ae54b76",
+      "nav_sha256": "6d60ffaf0e4593fa64b5a89082229f27cc793e16a6121bf3ae616ef7eab7c878",
+      "path": "/data/appgen/sft_ngc_f_v1/qwen25_ngc_f_v1.json",
+      "rows": 3588,
+      "semantic_multiset_sha256": "226989d47a3a78d9c3d257b992fc8cece72eee215bb54a27838121998dae77bf",
+      "sha256": "41ff727b510d82d020a3dfce1ad3947bfbde7fb78816bb10cbc2f2fa1092f49b",
+      "unique_semantic_rows": 3168
+    },
+    "qwen3": {
+      "completion_replay_sha256": "74ba207a4a4bd86aba2b7dc328dd4b8e47a83fa2352eef6be538102612e329e2",
+      "grounding_action_only_sha256": "af17e10af44913da0cc95ace5454243ad4e37e1a52df969d2730e094d2d9d879",
+      "grounding_source_sha256": "19511ed439f59e7a17a2b451d9aaeba41cc06b432d4ddbd8034e40e0f9624475",
+      "nav_sha256": "0f6817d5c522d629437389aeec02d4d4f1fa88e7b10dd9770ad9d9569557f8bf",
+      "path": "/data/appgen/sft_ngc_f_v1/qwen3_ngc_f_v1.json",
+      "rows": 3588,
+      "semantic_multiset_sha256": "226989d47a3a78d9c3d257b992fc8cece72eee215bb54a27838121998dae77bf",
+      "sha256": "f18d2087d31c475215cd55dda66463bf46c719daaee6da4e89c4a966cfdb5903",
+      "unique_semantic_rows": 3168
+    }
+  },
+  "paired": {
+    "completion_semantic_keys_equal": true,
+    "grounding_semantic_ids_equal": true,
+    "semantic_multiset_equal": true,
+    "semantic_multiset_sha256": "226989d47a3a78d9c3d257b992fc8cece72eee215bb54a27838121998dae77bf"
+  },
+  "recipe": {
+    "back_target_rows": 0,
+    "completion_replay": "one_extra_final_action_and_success_terminate_per_task",
+    "epochs": 1,
+    "freeze_aligner": true,
+    "freeze_llm": false,
+    "freeze_vit": true,
+    "global_batch": 32,
+    "grounding_target_style": "action_only_tool_call",
+    "learning_rate": "5e-7",
+    "name": "navigation-grounding-completion-frozen-v1",
+    "optimizer_updates": 113,
+    "recovery_rows": 0
+  },
+  "schema_version": "appgen-sft-ngc-f-v1",
+  "source": {
+    "inputs": {
+      "qwen25": {
+        "grounding_source_path": "/data/appgen/sft_nav_ground_recovery_v2r7/qwen25_nav_ground_400.json",
+        "grounding_source_sha256": "8a0561405e4010a7ede5fa81fad04896cbbb2c3e9ec95b9d5352186e1ae54b76",
+        "nav_path": "/data/appgen/sft_qwen25_UNIFIED.json",
+        "nav_sha256": "6d60ffaf0e4593fa64b5a89082229f27cc793e16a6121bf3ae616ef7eab7c878"
+      },
+      "qwen3": {
+        "grounding_source_path": "/data/appgen/sft_nav_ground_recovery_v2r7/qwen3_nav_ground_400.json",
+        "grounding_source_sha256": "19511ed439f59e7a17a2b451d9aaeba41cc06b432d4ddbd8034e40e0f9624475",
+        "nav_path": "/data/appgen/sft_qwen3_UNIFIED.json",
+        "nav_sha256": "0f6817d5c522d629437389aeec02d4d4f1fa88e7b10dd9770ad9d9569557f8bf"
+      }
+    },
+    "manifest_path": "/data/appgen/sft_nav_ground_recovery_v2r7/audit_manifest.json",
+    "manifest_sha256": "efc7f7117575fbcc54d95d8a98756376ba2c7ea09346979225f1fd5ae37ce942"
+  }
+}