# GWAM_Data v1.2 sparse-v2 schema This file mirrors the root `SCHEMA.md`. The current v1.2 sparse-v2 export uses: ```text graph/node_state.npz: node_state float32[T, 256, 32] graph/view_evidence.npz graph/dynamic_edges.jsonl with contact + visibility_change graph/visible_masks_rle.jsonl.gz with row-major binary RLE v2_vectorized audit/phase2_summary.json after Phase 2 sparse visible-only Phase 2 visual features ``` Old dense v1/v1.1 concepts are historical only and are not emitted by v1.2 sparse-v2: ```text 317-D / 323-D node_feats dense rel_state or rel_prior tensors distractor as family index 1 events.jsonl state_on/state_off / grasp / release vocab dense visual_views[T,N,3,256] min_visible_px=10 or RLE v1 ``` Current family ids: ```text 0 object, including distractors 1 reserved / forbidden old distractor id 2 surface 3 receptacle 4 fixture 5 articulated_part 6 handle 7 control, defined but unpopulated 8 region, defined but unpopulated 9 robot ``` Loaders must read `node_state_schema`, gate on the active channel before using padded rows, and treat instruction/goal/object-role metadata as supervision-only unless an experiment explicitly allows it. See root `README.md` and root `SCHEMA.md` for the full normative contract. ## Live real-time environment graph compatibility The on-disk release stores full episodes, while the real-time extractor returns one current simulator frame at a time. They use the same schema vocabulary: ```text on-disk episode: node_state float32[T,256,32] live current frame: node_state float32[256,32] live K-frame buffer: node_state float32[K,256,32] ``` The live extractor in `realtime/gwam_realtime_env_graph.py` / `extractors/gwam_realtime_env_graph.py` uses the same: ```text node_state_schema family ids active-mask policy static prior edge labels: part_of, controls dynamic edge labels: contact, visibility_change view_evidence fields and normalized [0,1] units row-major RLE mask codec when masks are requested ``` Real-time extraction is for users with their own RoboCasa/robosuite environment and assets. The public model-facing path is `extract_final_graph(visual_backend=Sam2ClipRealtimeFeatureBackend(...))`, which constructs a current-observed full final graph from current simulator state, current RGB frames, segmentation masks, SAM2 masked pooled features, and CLIP type features. It yields `x [N_real,342]` by default. `extract_current_graph()` is a lightweight Phase-1/debug path only. Future simulator states, future robot nodes, future contacts, goal-derived target-node ids, object role labels, and instruction-derived target edges are not default-safe evaluation inputs; use them only in explicitly labeled oracle or teacher-forced modes. Bundled direct-run weights live at `models/sam2/checkpoints/sam2.1_hiera_base_plus.pt` and `models/clip/ViT-B-32.pt` with hashes in `models/MODEL_MANIFEST.json`. ## Online final-graph extraction files The public real-time inference/evaluation path can construct the full final graph for one current simulator step: ```text extract_final_graph(visual_backend=Sam2ClipRealtimeFeatureBackend(...)) current env state/RGB/segmentation/masks + Phase 1 graph + Phase 2 SAM2/CLIP = x [N_real,342] ``` Bundled direct-run files: ```text realtime/gwam_realtime_env_graph.py examples/realtime_env_graph_eval_loop.py scripts/setup_realtime_final_graph_env.sh scripts/verify_realtime_final_graph.py models/sam2/checkpoints/sam2.1_hiera_base_plus.pt models/clip/ViT-B-32.pt models/MODEL_MANIFEST.json ``` The default online final graph feature layout is: ```text 20 state dims + 10 family one-hot + 256 SAM2 masked pooled visual + 32 type_clip32 + 24 view evidence = 342 ``` `extract_current_graph()` is a lightweight Phase-1/debug path only and is not the final model-input graph.