| schema_version: spatialgen.protocols.v1 |
| benchmark: SpatialGen-Bench |
| benchmark_version: v1.1 |
| sample_count: 470 |
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| runtime: |
| framework: ProVisE |
| repository: https://github.com/XuWang917/ProVisE |
| revision: fdee9debe21e6b838d41f3ea9f2d6146bd1d24c1 |
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| policy: |
| construct_before_model_evaluation: true |
| same_protocol_across_models: true |
| deterministic_parser_preferred: true |
| original_metric_preserved: true |
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| tasks: |
| counting: |
| capability: perception |
| input_mode: single |
| protocol: instance_marker_count |
| response: one green star on each target instance |
| parser: green_connected_components |
| metric: exact_count |
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| depth: |
| capability: perception |
| input_mode: single |
| protocol: relative_depth |
| response: grayscale depth map with brighter pixels closer to the camera |
| parser: grayscale_coordinate_sampling |
| metric: accuracy |
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| orientation: |
| capability: perception |
| input_mode: single |
| protocol: direction_grid |
| response: fill the corresponding outer cell of a 3x3 direction grid |
| parser: blue_cell_to_direction |
| metric: accuracy |
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| size: |
| capability: perception |
| input_mode: single |
| protocol: grounded_size_comparison |
| response: mark the compared objects and show visible extent or measurement evidence |
| parser: constrained_generated_image_readout |
| metric: accuracy |
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| relationship: |
| capability: understanding |
| input_mode: single |
| protocol: binary_color_presence |
| response: subject/object color masks for true, grayscale scene for false |
| parser: color_presence |
| metric: accuracy |
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| perspective: |
| capability: understanding |
| input_mode: single |
| protocol: direction_grid |
| response: fill the 3x3 grid cell for the target direction from the reference viewpoint |
| parser: blue_cell_to_choice |
| metric: accuracy |
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| mental_modeling: |
| capability: understanding |
| input_mode: multiple |
| protocol: top_down_scene_model |
| response: top-down layout with camera positions and facing directions |
| parser: constrained_generated_image_readout |
| metric: accuracy |
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| grounding: |
| capability: understanding |
| input_mode: single |
| protocol: point_marker |
| response: one prominent cyan point inside the referred object |
| parser: cyan_marker_centroid |
| metric: point_in_mask |
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| multihop: |
| capability: reasoning |
| input_mode: single |
| protocol: state_edit |
| response: apply the requested spatial operations while preserving unrelated content |
| parser: constrained_generated_image_readout |
| metric: accuracy |
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| prediction: |
| capability: reasoning |
| input_mode: single |
| protocol: future_trajectory |
| response: draw one physically consistent trajectory to the predicted target |
| parser: constrained_generated_image_readout |
| metric: hole_distance_partial_credit |
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| feasibility: |
| capability: reasoning |
| input_mode: single |
| protocol: fit_rendering |
| response: depict the queried placement at realistic scale with visible clearance or collision |
| parser: constrained_generated_image_readout |
| metric: accuracy |
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| affordance: |
| capability: interaction |
| input_mode: single |
| protocol: region_mask |
| response: binary mask of the target affordance region |
| parser: binary_mask |
| metric: mask_precision |
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| navigation: |
| capability: interaction |
| input_mode: single_with_candidates |
| protocol: state_matching |
| response: generate the next view after the indicated camera movement |
| parser: clip_candidate_matching |
| metric: accuracy |
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| trajectory: |
| capability: interaction |
| input_mode: single |
| protocol: trajectory |
| response: one continuous red path from the start point to the target |
| parser: red_path_extraction |
| metric: dfd_success_at_0.4 |
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