diff --git "a/qa/xbd_test.jsonl" "b/qa/xbd_test.jsonl"
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+++ "b/qa/xbd_test.jsonl"
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+{"query_id": "XBD_Q1_socal-fire_00000658_0105", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000658", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A post-disaster satellite scene from a fire event (socal-fire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 65, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 65, "classified_buildings": 65, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1031972.9818, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_socal-fire_00000658_0106", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000658", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "For a post-disaster fire scene (socal-fire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 293110.7255, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 19, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 352895.8484, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 223482.5884, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 293110.7255, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 19, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 352895.8484, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 223482.5884, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 162483.8195, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_socal-fire_00000658_0107", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000658", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.0, "building_count": 3, "severe_count": 0, "class_histogram": {"no_damage": 3, "minor_damage": 0, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 84216.4121, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 64594.7401, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 111076.5533, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_socal-fire_00000658_0108", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000658", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (socal-fire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "socal-fire", "disaster_type": "fire", "capture_date": "2018-11-14T18:42:58.000Z", "gsd": 2.5700748, "damage_summary": {"total_buildings": 65, "classified_buildings": 65, "counts": {"no-damage": 65, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 1031972.9818, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 886189, "1": 162387, "2": 0, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 100.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_socal-fire_00000826_0121", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000826", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A post-disaster satellite scene from a fire event (socal-fire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 42, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 42, "classified_buildings": 42, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1277897.3538, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_socal-fire_00000826_0122", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000826", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "For a post-disaster fire scene (socal-fire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 368184.0737, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 461740.5747, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 184062.9889, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 368184.0737, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 461740.5747, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 184062.9889, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 263909.7165, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_socal-fire_00000826_0123", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000826", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.0, "building_count": 5, "severe_count": 0, "class_histogram": {"no_damage": 5, "minor_damage": 0, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 94064.9943, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 123423.2361, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 148010.7704, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_socal-fire_00000826_0124", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000826", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (socal-fire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "socal-fire", "disaster_type": "fire", "capture_date": "2018-11-14T18:42:58.000Z", "gsd": 2.5700748, "damage_summary": {"total_buildings": 42, "classified_buildings": 42, "counts": {"no-damage": 42, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 1277897.3538, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 849826, "1": 198750, "2": 0, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 100.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-florence_00000339_0141", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000339", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "question": "A post-disaster satellite scene from a flooding event (hurricane-florence) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 24, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 24, "classified_buildings": 24, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 57331.1188, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-florence_00000339_0142", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000339", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "question": "For a post-disaster flooding scene (hurricane-florence), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13685.8056, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 20550.1634, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13685.8056, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 20550.1634, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 23095.1498, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-florence_00000339_0143", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000339", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.0, "building_count": 0, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "none", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 3427.1657, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5006.1726, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-florence_00000339_0144", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000339", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-florence). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-florence", "disaster_type": "flooding", "capture_date": "2018-09-20T16:04:41.000Z", "gsd": 2.0916247, "damage_summary": {"total_buildings": 24, "classified_buildings": 24, "counts": {"no-damage": 24, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 57331.1188, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1034403, "1": 14173, "2": 0, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 100.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_socal-fire_00000011_0161", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000011", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A post-disaster satellite scene from a fire event (socal-fire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 61, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "total_buildings": 62, "classified_buildings": 61, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 791931.2385, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_socal-fire_00000011_0162", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000011", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "For a post-disaster fire scene (socal-fire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 184744.2571, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 173025.0727, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 267805.1688, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 184744.2571, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 173025.0727, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 267805.1688, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 166356.7399, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_socal-fire_00000011_0163", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000011", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.0, "building_count": 6, "severe_count": 0, "class_histogram": {"no_damage": 6, "minor_damage": 0, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 64833.8017, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 43132.6592, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_socal-fire_00000011_0164", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000011", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (socal-fire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "socal-fire", "disaster_type": "fire", "capture_date": "2018-11-14T18:42:58.000Z", "gsd": 2.5700748, "damage_summary": {"total_buildings": 62, "classified_buildings": 61, "counts": {"no-damage": 61, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 791931.2385, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 923150, "1": 125426, "2": 0, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 100.0, "2": 0.0, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-harvey_00000188_0205", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000188", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (hurricane-harvey) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 34, "minor-damage": 3, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 37, "classified_buildings": 37, "damaged_count": 3, "severe_count": 0, "damaged_pct": 8.11, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1633099.409, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-harvey_00000188_0206", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000188", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (hurricane-harvey), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1173527.0925, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 261207.1958, "severity_score": 0.1237, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 110924.7713, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1173527.0925, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 261207.1958, "severity_score": 0.1237, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 110924.7713, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 87440.3494, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-harvey_00000188_0207", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000188", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G03", "severity_score": 0.33, "building_count": 1, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G03", "row": 0, "col": 3, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 42513.7343, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 92888.424, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 118181.4178, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-harvey_00000188_0208", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000188", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-harvey). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-harvey", "disaster_type": "flooding", "capture_date": "2017-08-31T17:38:50.685Z", "gsd": 3.024613, "damage_summary": {"total_buildings": 37, "classified_buildings": 37, "counts": {"no-damage": 34, "minor-damage": 3, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 8.11}, "area_summary": {"total_footprint_m2": 1633099.409, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 865401, "1": 167972, "2": 15203, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 91.7003, "2": 8.2997, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000493_0217", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000493", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 34, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 35, "classified_buildings": 35, "damaged_count": 1, "severe_count": 0, "damaged_pct": 2.86, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 281262.0201, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000493_0218", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000493", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 95539.559, "severity_score": 0.0413, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 108206.1766, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 71514.0839, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 95539.559, "severity_score": 0.0413, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 108206.1766, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 71514.0839, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 6002.2006, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000493_0219", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000493", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G10", "severity_score": 0.165, "building_count": 2, "severe_count": 0, "class_histogram": {"no_damage": 1, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 15562.7223, "severity_score": 0.165, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 59926.2922, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5534.2487, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000493_0220", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000493", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 35, "classified_buildings": 35, "counts": {"no-damage": 34, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 2.86}, "area_summary": {"total_footprint_m2": 281262.0201, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 980284, "1": 66437, "2": 1855, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.2837, "2": 2.7163, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_midwest-flooding_00000046_0229", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000046", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (midwest-flooding) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 80, "minor-damage": 6, "major-damage": 0, "destroyed": 0, "unclassified": 7}, "total_buildings": 93, "classified_buildings": 86, "damaged_count": 6, "severe_count": 0, "damaged_pct": 6.98, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 546136.9436, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_midwest-flooding_00000046_0230", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000046", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (midwest-flooding), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 115049.7925, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 167300.7547, "severity_score": 0.1031, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 35, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 167388.561, "severity_score": 0.0094, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 115049.7925, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 167300.7547, "severity_score": 0.1031, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 35, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 167388.561, "severity_score": 0.0094, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 27, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 96397.8354, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_midwest-flooding_00000046_0231", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000046", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G13", "severity_score": 0.264, "building_count": 5, "severe_count": 0, "class_histogram": {"no_damage": 1, "minor_damage": 4, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G13", "row": 1, "col": 3, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 36420.4072, "severity_score": 0.264, "dominant_damage": "minor-damage"}, {"cell_id": "G21", "row": 2, "col": 1, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 37545.7357, "severity_score": 0.11, "dominant_damage": "no-damage"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 97470.733, "severity_score": 0.066, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_midwest-flooding_00000046_0232", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000046", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (midwest-flooding). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "midwest-flooding", "disaster_type": "flooding", "capture_date": "2019-05-31T16:54:31.000Z", "gsd": 1.7392077, "damage_summary": {"total_buildings": 93, "classified_buildings": 86, "counts": {"no-damage": 80, "minor-damage": 6, "major-damage": 0, "destroyed": 0, "unclassified": 7}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 6.98}, "area_summary": {"total_footprint_m2": 546136.9436, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 865177, "1": 152427, "2": 30972, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 83.1122, "2": 16.8878, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-harvey_00000087_0257", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000087", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (hurricane-harvey) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 15, "minor-damage": 16, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 31, "classified_buildings": 31, "damaged_count": 16, "severe_count": 0, "damaged_pct": 51.61, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 551076.9052, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-harvey_00000087_0258", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000087", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (hurricane-harvey), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 147747.7803, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 108425.3137, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 135618.6568, "severity_score": 0.0825, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 147747.7803, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 108425.3137, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 135618.6568, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 159285.1544, "severity_score": 0.22, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-harvey_00000087_0259", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000087", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G12", "severity_score": 0.33, "building_count": 4, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 4, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G12", "row": 1, "col": 2, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 77503.984, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 30921.3297, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G32", "row": 3, "col": 2, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 15015.149, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-harvey_00000087_0260", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000087", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-harvey). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-harvey", "disaster_type": "flooding", "capture_date": "2017-08-31T17:38:50.685Z", "gsd": 3.024613, "damage_summary": {"total_buildings": 31, "classified_buildings": 31, "counts": {"no-damage": 15, "minor-damage": 16, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 51.61}, "area_summary": {"total_footprint_m2": 551076.9052, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 985305, "1": 34190, "2": 29081, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 54.0374, "2": 45.9626, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-harvey_00000083_0297", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000083", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (hurricane-harvey) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 9, "minor-damage": 4, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 13, "classified_buildings": 13, "damaged_count": 4, "severe_count": 0, "damaged_pct": 30.77, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 66451.0977, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-harvey_00000083_0298", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000083", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (hurricane-harvey), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5391.8189, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52133.629, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5391.8189, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52133.629, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8925.6498, "severity_score": 0.1237, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-harvey_00000083_0299", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000083", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G23", "severity_score": 0.1237, "building_count": 8, "severe_count": 0, "class_histogram": {"no_damage": 5, "minor_damage": 3, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G23", "row": 2, "col": 3, "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8925.6498, "severity_score": 0.1237, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 42267.7729, "severity_score": 0.11, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-harvey_00000083_0300", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000083", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-harvey). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-harvey", "disaster_type": "flooding", "capture_date": "2017-08-31T17:38:50.685Z", "gsd": 3.024613, "damage_summary": {"total_buildings": 13, "classified_buildings": 13, "counts": {"no-damage": 9, "minor-damage": 4, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 30.77}, "area_summary": {"total_footprint_m2": 66451.0977, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1040743, "1": 6223, "2": 1610, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 79.4459, "2": 20.5541, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000106_0321", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000106", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 11, "minor-damage": 477, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "total_buildings": 489, "classified_buildings": 488, "damaged_count": 477, "severe_count": 0, "damaged_pct": 97.75, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1191936.7227, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000106_0322", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000106", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 97, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 283782.8666, "severity_score": 0.3164, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 100, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 257799.9332, "severity_score": 0.3267, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 54, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 91938.7735, "severity_score": 0.3178, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 97, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 283782.8666, "severity_score": 0.3164, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 100, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 257799.9332, "severity_score": 0.3267, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 54, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 91938.7735, "severity_score": 0.3178, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 238, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 558415.1494, "severity_score": 0.3231, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000106_0323", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000106", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.33, "building_count": 46, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 46, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 46, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 145026.3854, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 89352.0999, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13880.4899, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000106_0324", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000106", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-01T15:29:45.000Z", "gsd": 2.37887692, "damage_summary": {"total_buildings": 489, "classified_buildings": 488, "counts": {"no-damage": 11, "minor-damage": 477, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 97.75}, "area_summary": {"total_footprint_m2": 1191936.7227, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 823704, "1": 7958, "2": 216914, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 3.5389, "2": 96.4611, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_guatemala-volcano_00000020_0325", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000020", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a volcano event (guatemala-volcano) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 27, "minor-damage": 8, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "total_buildings": 36, "classified_buildings": 35, "damaged_count": 8, "severe_count": 0, "damaged_pct": 22.86, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 168264.6151, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_guatemala-volcano_00000020_0326", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000020", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "minor-moderate", "question": "For a post-disaster volcano scene (guatemala-volcano), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 12406.4445, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 29, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 155858.1706, "severity_score": 0.0114, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 12406.4445, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 29, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 155858.1706, "severity_score": 0.0114, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_guatemala-volcano_00000020_0327", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000020", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster volcano satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G10", "severity_score": 0.33, "building_count": 7, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 7, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 12406.4445, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 70214.5704, "severity_score": 0.033, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_guatemala-volcano_00000020_0328", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000020", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster volcano scene (guatemala-volcano). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "guatemala-volcano", "disaster_type": "volcano", "capture_date": "2018-06-22T16:55:40.000Z", "gsd": 1.4085245, "damage_summary": {"total_buildings": 36, "classified_buildings": 35, "counts": {"no-damage": 27, "minor-damage": 8, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 22.86}, "area_summary": {"total_footprint_m2": 168264.6151, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 960787, "1": 76131, "2": 11658, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 86.7204, "2": 13.2796, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-florence_00000322_0345", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000322", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (hurricane-florence) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 42, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 43, "classified_buildings": 43, "damaged_count": 1, "severe_count": 0, "damaged_pct": 2.33, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 99519.3886, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-florence_00000322_0346", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000322", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (hurricane-florence), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "none", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 19505.0657, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 27937.3571, "severity_score": 0.033, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 19505.0657, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 27937.3571, "severity_score": 0.033, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 24, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52076.9658, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-florence_00000322_0347", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000322", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G30", "severity_score": 0.165, "building_count": 2, "severe_count": 0, "class_histogram": {"no_damage": 1, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G30", "row": 3, "col": 0, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 3247.3061, "severity_score": 0.165, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-florence_00000322_0348", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000322", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-florence). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-florence", "disaster_type": "flooding", "capture_date": "2018-09-20T16:04:41.000Z", "gsd": 2.0916247, "damage_summary": {"total_buildings": 43, "classified_buildings": 43, "counts": {"no-damage": 42, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 2.33}, "area_summary": {"total_footprint_m2": 99519.3886, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1024164, "1": 23669, "2": 743, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 96.9564, "2": 3.0436, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_midwest-flooding_00000189_0369", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000189", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a flooding event (midwest-flooding) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 11, "minor-damage": 2, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 13, "classified_buildings": 13, "damaged_count": 2, "severe_count": 0, "damaged_pct": 15.38, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 8271.2244, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_midwest-flooding_00000189_0370", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000189", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "For a post-disaster flooding scene (midwest-flooding), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "none", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 13, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8271.2244, "severity_score": 0.0508, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 13, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8271.2244, "severity_score": 0.0508, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_midwest-flooding_00000189_0371", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000189", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G13", "severity_score": 0.06, "building_count": 11, "severe_count": 0, "class_histogram": {"no_damage": 9, "minor_damage": 2, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G13", "row": 1, "col": 3, "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 6219.4124, "severity_score": 0.06, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_midwest-flooding_00000189_0372", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000189", "split": "hold", "qa_split": "test", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (midwest-flooding). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "midwest-flooding", "disaster_type": "flooding", "capture_date": "2019-05-30T17:35:04.000Z", "gsd": 1.2524601, "damage_summary": {"total_buildings": 13, "classified_buildings": 13, "counts": {"no-damage": 11, "minor-damage": 2, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 15.38}, "area_summary": {"total_footprint_m2": 8271.2244, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1042812, "1": 4932, "2": 832, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 85.5656, "2": 14.4344, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000423_0385", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000423", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 20, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 21, "classified_buildings": 21, "damaged_count": 1, "severe_count": 0, "damaged_pct": 4.76, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 176383.5018, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000423_0386", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000423", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 87559.8051, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 88823.6967, "severity_score": 0.0236, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 87559.8051, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 88823.6967, "severity_score": 0.0236, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000423_0387", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000423", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G03", "severity_score": 0.0471, "building_count": 7, "severe_count": 0, "class_histogram": {"no_damage": 6, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G03", "row": 0, "col": 3, "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 42428.6256, "severity_score": 0.0471, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 32516.7398, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 55043.0653, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000423_0388", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000423", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 21, "classified_buildings": 21, "counts": {"no-damage": 20, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 4.76}, "area_summary": {"total_footprint_m2": 176383.5018, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1005730, "1": 40535, "2": 2311, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 94.6063, "2": 5.3937, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_socal-fire_00001148_0389", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00001148", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "minor-moderate", "question": "A post-disaster satellite scene from a fire event (socal-fire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 17, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 18, "classified_buildings": 18, "damaged_count": 1, "severe_count": 0, "damaged_pct": 5.56, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 139408.9583, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "no severe damage"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_socal-fire_00001148_0390", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00001148", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "minor-moderate", "question": "For a post-disaster fire scene (socal-fire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 30414.1036, "severity_score": 0.066, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 85993.1149, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 30414.1036, "severity_score": 0.066, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 85993.1149, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 23001.7398, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_socal-fire_00001148_0391", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00001148", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "minor-moderate", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 0.11, "building_count": 3, "severe_count": 0, "class_histogram": {"no_damage": 2, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 10332.0676, "severity_score": 0.11, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_socal-fire_00001148_0392", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00001148", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "minor-moderate", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (socal-fire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "socal-fire", "disaster_type": "fire", "capture_date": "2018-11-14T18:42:58.000Z", "gsd": 2.5700748, "damage_summary": {"total_buildings": 18, "classified_buildings": 18, "counts": {"no-damage": 17, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 5.56}, "area_summary": {"total_footprint_m2": 139408.9583, "severe_footprint_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "no severe damage", "concentration_score": null, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 0, "polygon_severe_count": 0, "pixel_histogram": {"0": 1026272, "1": 21768, "2": 536, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.5968, "2": 2.4032, "3": 0.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000433_0407", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 98, "minor-damage": 13, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "total_buildings": 112, "classified_buildings": 112, "damaged_count": 14, "severe_count": 1, "damaged_pct": 12.5, "severe_pct": 0.89, "severe_footprint_m2": 3343.1276, "total_footprint_m2": 419899.6646, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000433_0408", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 1, "severe_footprint_m2": 3343.1276, "severe_pct_in_quadrant": 4.55, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 22, "severe_count": 1, "severe_pct": 4.55, "severe_area_m2": 3343.1276, "total_area_m2": 108135.6228, "severity_score": 0.0605, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 35, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 136777.4733, "severity_score": 0.0377, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 23, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 56547.9302, "severity_score": 0.0861, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 35, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 136777.4733, "severity_score": 0.0377, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 23, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 56547.9302, "severity_score": 0.0861, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 32, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 118438.6383, "severity_score": 0.0103, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 22, "severe_count": 1, "severe_pct": 4.55, "severe_area_m2": 3343.1276, "total_area_m2": 108135.6228, "severity_score": 0.0605, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000433_0409", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G22", "severity_score": 0.33, "building_count": 1, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G22", "row": 2, "col": 2, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11700.2832, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 21208.2334, "severity_score": 0.132, "dominant_damage": "no-damage"}, {"cell_id": "G10", "row": 1, "col": 0, "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 32651.8034, "severity_score": 0.0733, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000433_0410", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 1, "severe_footprint_m2": 3343.1276, "major_damage_area_m2": 3343.1276, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000433_0411", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 1, "max_severe_in_cell": 1, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 0, "Q2": 0, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000433_0412", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000433", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 112, "classified_buildings": 112, "counts": {"no-damage": 98, "minor-damage": 13, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "severe_count": 1, "severe_pct": 0.89, "damaged_pct": 12.5}, "area_summary": {"total_footprint_m2": 419899.6646, "severe_footprint_m2": 3343.1276, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 829, "polygon_severe_count": 1, "pixel_histogram": {"0": 943713, "1": 86848, "2": 17186, "3": 829, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 82.8204, "2": 16.389, "3": 0.7906, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-florence_00000089_0419", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a flooding event (hurricane-florence) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 0, "major-damage": 15, "destroyed": 0, "unclassified": 0}, "total_buildings": 15, "classified_buildings": 15, "damaged_count": 15, "severe_count": 15, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 39662.2739, "total_footprint_m2": 39662.2739, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-florence_00000089_0420", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "For a post-disaster flooding scene (hurricane-florence), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 9, "severe_footprint_m2": 22949.8692, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 9, "severe_count": 9, "severe_pct": 100.0, "severe_area_m2": 22949.8692, "total_area_m2": 22949.8692, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 10194.3412, "total_area_m2": 10194.3412, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 6518.0635, "total_area_m2": 6518.0635, "severity_score": 0.67, "dominant_damage": "major-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 9, "severe_count": 9, "severe_pct": 100.0, "severe_area_m2": 22949.8692, "total_area_m2": 22949.8692, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 10194.3412, "total_area_m2": 10194.3412, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 6518.0635, "total_area_m2": 6518.0635, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-florence_00000089_0421", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G01", "severity_score": 0.67, "building_count": 3, "severe_count": 3, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 3, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G01", "row": 0, "col": 1, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 2964.0189, "total_area_m2": 2964.0189, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 19985.8503, "total_area_m2": 19985.8503, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 6254.3673, "total_area_m2": 6254.3673, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-florence_00000089_0422", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "From the post-disaster flooding scene (hurricane-florence), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 15, "severe_footprint_m2": 39662.2739, "major_damage_area_m2": 39662.2739, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-florence_00000089_0423", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster flooding scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 15, "max_severe_in_cell": 9, "concentration_score": 0.6, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 9, "Q1": 0, "Q2": 5, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-florence_00000089_0424", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000089", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-florence). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-florence", "disaster_type": "flooding", "capture_date": "2018-09-20T16:04:41.000Z", "gsd": 2.0916247, "damage_summary": {"total_buildings": 15, "classified_buildings": 15, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 15, "destroyed": 0, "unclassified": 0}, "severe_count": 15, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 39662.2739, "severe_footprint_m2": 39662.2739, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 9782, "polygon_severe_count": 15, "pixel_histogram": {"0": 1038794, "1": 0, "2": 0, "3": 9782, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 100.0, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000508_0455", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 57, "minor-damage": 18, "major-damage": 2, "destroyed": 0, "unclassified": 0}, "total_buildings": 77, "classified_buildings": 77, "damaged_count": 20, "severe_count": 2, "damaged_pct": 25.97, "severe_pct": 2.6, "severe_footprint_m2": 31266.456, "total_footprint_m2": 322316.7233, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000508_0456", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 1, "severe_footprint_m2": 30365.5916, "severe_pct_in_quadrant": 25.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 30365.5916, "total_area_m2": 33105.2484, "severity_score": 0.1675, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 27, "severe_count": 1, "severe_pct": 3.7, "severe_area_m2": 900.8644, "total_area_m2": 96389.1981, "severity_score": 0.1348, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 76058.1518, "severity_score": 0.0825, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 30365.5916, "total_area_m2": 33105.2484, "severity_score": 0.1675, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 76058.1518, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 38, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 116764.125, "severity_score": 0.0608, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 27, "severe_count": 1, "severe_pct": 3.7, "severe_area_m2": 900.8644, "total_area_m2": 96389.1981, "severity_score": 0.1348, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000508_0457", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G10", "severity_score": 0.67, "building_count": 1, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 30365.5916, "total_area_m2": 30365.5916, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 31283.1721, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G33", "row": 3, "col": 3, "building_count": 10, "severe_count": 1, "severe_pct": 10.0, "severe_area_m2": 900.8644, "total_area_m2": 31750.3373, "severity_score": 0.199, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000508_0458", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 2, "severe_footprint_m2": 31266.456, "major_damage_area_m2": 31266.456, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000508_0459", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 2, "max_severe_in_cell": 1, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 1, "Q1": 0, "Q2": 0, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000508_0460", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000508", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 77, "classified_buildings": 77, "counts": {"no-damage": 57, "minor-damage": 18, "major-damage": 2, "destroyed": 0, "unclassified": 0}, "severe_count": 2, "severe_pct": 2.6, "damaged_pct": 25.97}, "area_summary": {"total_footprint_m2": 322316.7233, "severe_footprint_m2": 31266.456, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 7505, "polygon_severe_count": 2, "pixel_histogram": {"0": 968709, "1": 50950, "2": 21412, "3": 7505, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 63.7936, "2": 26.8096, "3": 9.3969, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000012_0515", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 24, "minor-damage": 72, "major-damage": 5, "destroyed": 0, "unclassified": 7}, "total_buildings": 108, "classified_buildings": 101, "damaged_count": 77, "severe_count": 5, "damaged_pct": 76.24, "severe_pct": 4.95, "severe_footprint_m2": 16334.4478, "total_footprint_m2": 292167.1549, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000012_0516", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 1, "severe_footprint_m2": 5874.0073, "severe_pct_in_quadrant": 16.67, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 6, "severe_count": 1, "severe_pct": 16.67, "severe_area_m2": 5874.0073, "total_area_m2": 42355.9099, "severity_score": 0.3867, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 23, "severe_count": 3, "severe_pct": 13.04, "severe_area_m2": 5697.6735, "total_area_m2": 70174.6166, "severity_score": 0.2739, "dominant_damage": "minor-damage"}, {"cell_id": "Q0", "building_count": 62, "severe_count": 1, "severe_pct": 1.61, "severe_area_m2": 4762.767, "total_area_m2": 112705.7231, "severity_score": 0.2397, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 62, "severe_count": 1, "severe_pct": 1.61, "severe_area_m2": 4762.767, "total_area_m2": 112705.7231, "severity_score": 0.2397, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 66930.9053, "severity_score": 0.2135, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 23, "severe_count": 3, "severe_pct": 13.04, "severe_area_m2": 5697.6735, "total_area_m2": 70174.6166, "severity_score": 0.2739, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 6, "severe_count": 1, "severe_pct": 16.67, "severe_area_m2": 5874.0073, "total_area_m2": 42355.9099, "severity_score": 0.3867, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000012_0517", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G32", "severity_score": 0.5, "building_count": 2, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G32", "row": 3, "col": 2, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 5874.0073, "total_area_m2": 6363.6937, "severity_score": 0.5, "dominant_damage": "minor-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 3197.7555, "total_area_m2": 24796.6954, "severity_score": 0.415, "dominant_damage": "minor-damage"}, {"cell_id": "G21", "row": 2, "col": 1, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11560.2449, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000012_0518", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 5, "severe_footprint_m2": 16334.4478, "major_damage_area_m2": 16334.4478, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000012_0519", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 5, "max_severe_in_cell": 3, "concentration_score": 0.6, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 1, "Q1": 0, "Q2": 3, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000012_0520", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000012", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-01T15:29:45.000Z", "gsd": 2.37887692, "damage_summary": {"total_buildings": 108, "classified_buildings": 101, "counts": {"no-damage": 24, "minor-damage": 72, "major-damage": 5, "destroyed": 0, "unclassified": 7}, "severe_count": 5, "severe_pct": 4.95, "damaged_pct": 76.24}, "area_summary": {"total_footprint_m2": 292167.1549, "severe_footprint_m2": 16334.4478, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 3086, "polygon_severe_count": 5, "pixel_histogram": {"0": 994430, "1": 8574, "2": 42486, "3": 3086, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 15.835, "2": 78.4656, "3": 5.6994, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000186_0533", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 82, "minor-damage": 19, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "total_buildings": 102, "classified_buildings": 102, "damaged_count": 20, "severe_count": 1, "damaged_pct": 19.61, "severe_pct": 0.98, "severe_footprint_m2": 492.9695, "total_footprint_m2": 315121.4063, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000186_0534", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 1, "severe_footprint_m2": 492.9695, "severe_pct_in_quadrant": 3.7, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 27, "severe_count": 1, "severe_pct": 3.7, "severe_area_m2": 492.9695, "total_area_m2": 83731.2556, "severity_score": 0.0981, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 81284.3128, "severity_score": 0.033, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 25, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 80526.7719, "severity_score": 0.0924, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 81284.3128, "severity_score": 0.033, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 25, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 80526.7719, "severity_score": 0.0924, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 20, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 69579.066, "severity_score": 0.0495, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 27, "severe_count": 1, "severe_pct": 3.7, "severe_area_m2": 492.9695, "total_area_m2": 83731.2556, "severity_score": 0.0981, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000186_0535", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G21", "severity_score": 0.165, "building_count": 2, "severe_count": 0, "class_histogram": {"no_damage": 1, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G21", "row": 2, "col": 1, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4961.7425, "severity_score": 0.165, "dominant_damage": "no-damage"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 10189.0136, "severity_score": 0.165, "dominant_damage": "no-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 13, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 41118.6612, "severity_score": 0.1523, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000186_0536", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 1, "severe_footprint_m2": 492.9695, "major_damage_area_m2": 492.9695, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000186_0537", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 1, "max_severe_in_cell": 1, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 0, "Q2": 0, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000186_0538", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000186", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 102, "classified_buildings": 102, "counts": {"no-damage": 82, "minor-damage": 19, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "severe_count": 1, "severe_pct": 0.98, "damaged_pct": 19.61}, "area_summary": {"total_footprint_m2": 315121.4063, "severe_footprint_m2": 492.9695, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 139, "polygon_severe_count": 1, "pixel_histogram": {"0": 969528, "1": 58279, "2": 20630, "3": 139, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 73.7261, "2": 26.0981, "3": 0.1758, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000073_0611", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 12, "minor-damage": 104, "major-damage": 2, "destroyed": 0, "unclassified": 8}, "total_buildings": 126, "classified_buildings": 118, "damaged_count": 106, "severe_count": 2, "damaged_pct": 89.83, "severe_pct": 1.69, "severe_footprint_m2": 9483.1404, "total_footprint_m2": 363813.9057, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000073_0612", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q2", "severe_count": 2, "severe_footprint_m2": 9483.1404, "severe_pct_in_quadrant": 7.14, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 28, "severe_count": 2, "severe_pct": 7.14, "severe_area_m2": 9483.1404, "total_area_m2": 96789.4615, "severity_score": 0.3307, "dominant_damage": "minor-damage"}, {"cell_id": "Q0", "building_count": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 100460.3621, "severity_score": 0.209, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 57, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 146007.7873, "severity_score": 0.3011, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 100460.3621, "severity_score": 0.209, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 57, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 146007.7873, "severity_score": 0.3011, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 28, "severe_count": 2, "severe_pct": 7.14, "severe_area_m2": 9483.1404, "total_area_m2": 96789.4615, "severity_score": 0.3307, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 20556.2948, "severity_score": 0.27, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000073_0613", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G31", "severity_score": 0.466, "building_count": 5, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 3, "major_damage": 2, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G31", "row": 3, "col": 1, "building_count": 5, "severe_count": 2, "severe_pct": 40.0, "severe_area_m2": 9483.1404, "total_area_m2": 19417.3683, "severity_score": 0.466, "dominant_damage": "minor-damage"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 25778.6372, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 22897.2056, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000073_0614", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 2, "severe_footprint_m2": 9483.1404, "major_damage_area_m2": 9483.1404, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000073_0615", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 2, "max_severe_in_cell": 2, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 0, "Q2": 2, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000073_0616", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-01T15:29:45.000Z", "gsd": 2.37887692, "damage_summary": {"total_buildings": 126, "classified_buildings": 118, "counts": {"no-damage": 12, "minor-damage": 104, "major-damage": 2, "destroyed": 0, "unclassified": 8}, "severe_count": 2, "severe_pct": 1.69, "damaged_pct": 89.83}, "area_summary": {"total_footprint_m2": 363813.9057, "severe_footprint_m2": 9483.1404, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 1791, "polygon_severe_count": 2, "pixel_histogram": {"0": 980796, "1": 9841, "2": 56148, "3": 1791, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 14.519, "2": 82.8386, "3": 2.6424, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-harvey_00000403_0641", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a flooding event (hurricane-harvey) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 0, "major-damage": 62, "destroyed": 1, "unclassified": 0}, "total_buildings": 63, "classified_buildings": 63, "damaged_count": 63, "severe_count": 63, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 2820007.1938, "total_footprint_m2": 2820007.1938, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-harvey_00000403_0642", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "For a post-disaster flooding scene (hurricane-harvey), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 10, "severe_footprint_m2": 1362771.0969, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 1362771.0969, "total_area_m2": 1362771.0969, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q0", "building_count": 11, "severe_count": 11, "severe_pct": 100.0, "severe_area_m2": 600093.6538, "total_area_m2": 600093.6538, "severity_score": 0.7, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 32, "severe_count": 32, "severe_pct": 100.0, "severe_area_m2": 560665.6758, "total_area_m2": 560665.6758, "severity_score": 0.67, "dominant_damage": "major-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 11, "severe_pct": 100.0, "severe_area_m2": 600093.6538, "total_area_m2": 600093.6538, "severity_score": 0.7, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 1362771.0969, "total_area_m2": 1362771.0969, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 32, "severe_count": 32, "severe_pct": 100.0, "severe_area_m2": 560665.6758, "total_area_m2": 560665.6758, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 296476.7673, "total_area_m2": 296476.7673, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-harvey_00000403_0643", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.7525, "building_count": 4, "severe_count": 4, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 3, "destroyed": 1, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 162141.9232, "total_area_m2": 162141.9232, "severity_score": 0.7525, "dominant_damage": "major-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 50690.9289, "total_area_m2": 50690.9289, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 350988.4773, "total_area_m2": 350988.4773, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-harvey_00000403_0644", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "From the post-disaster flooding scene (hurricane-harvey), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 63, "severe_footprint_m2": 2820007.1938, "major_damage_area_m2": 2796593.708, "destroyed_area_m2": 23413.4858, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-harvey_00000403_0645", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster flooding scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 63, "max_severe_in_cell": 32, "concentration_score": 0.5079, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 11, "Q1": 10, "Q2": 32, "Q3": 10}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-harvey_00000403_0646", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000403", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-harvey). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-harvey", "disaster_type": "flooding", "capture_date": "2017-08-31T17:38:50.685Z", "gsd": 3.024613, "damage_summary": {"total_buildings": 63, "classified_buildings": 63, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 62, "destroyed": 1, "unclassified": 0}, "severe_count": 63, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 2820007.1938, "severe_footprint_m2": 2820007.1938, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5079, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 316944, "polygon_severe_count": 63, "pixel_histogram": {"0": 731632, "1": 0, "2": 0, "3": 314229, "4": 2715, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 99.1434, "4": 0.8566, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000383_0707", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 91, "minor-damage": 35, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "total_buildings": 127, "classified_buildings": 127, "damaged_count": 36, "severe_count": 1, "damaged_pct": 28.35, "severe_pct": 0.79, "severe_footprint_m2": 4881.6469, "total_footprint_m2": 651690.5847, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000383_0708", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 1, "severe_footprint_m2": 4881.6469, "severe_pct_in_quadrant": 3.23, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 31, "severe_count": 1, "severe_pct": 3.23, "severe_area_m2": 4881.6469, "total_area_m2": 161332.7358, "severity_score": 0.0855, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 32, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 164738.3898, "severity_score": 0.0722, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 20, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 116977.3914, "severity_score": 0.0495, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 32, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 164738.3898, "severity_score": 0.0722, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 20, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 116977.3914, "severity_score": 0.0495, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 44, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 208642.0677, "severity_score": 0.1425, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 31, "severe_count": 1, "severe_pct": 3.23, "severe_area_m2": 4881.6469, "total_area_m2": 161332.7358, "severity_score": 0.0855, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000383_0709", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 0.33, "building_count": 1, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5678.4532, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G21", "row": 2, "col": 1, "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52385.9709, "severity_score": 0.22, "dominant_damage": "minor-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 64247.1349, "severity_score": 0.165, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000383_0710", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 1, "severe_footprint_m2": 4881.6469, "major_damage_area_m2": 4881.6469, "destroyed_area_m2": 0.0, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000383_0711", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 1, "max_severe_in_cell": 1, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 0, "Q2": 0, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000383_0712", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000383", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 127, "classified_buildings": 127, "counts": {"no-damage": 91, "minor-damage": 35, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "severe_count": 1, "severe_pct": 0.79, "damaged_pct": 28.35}, "area_summary": {"total_footprint_m2": 651690.5847, "severe_footprint_m2": 4881.6469, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 1198, "polygon_severe_count": 1, "pixel_histogram": {"0": 886747, "1": 113232, "2": 47399, "3": 1198, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 69.9702, "2": 29.2896, "3": 0.7403, "4": 0.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-harvey_00000125_0809", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A post-disaster satellite scene from a flooding event (hurricane-harvey) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 20, "major-damage": 122, "destroyed": 1, "unclassified": 0}, "total_buildings": 143, "classified_buildings": 143, "damaged_count": 143, "severe_count": 123, "damaged_pct": 100.0, "severe_pct": 86.01, "severe_footprint_m2": 1956019.27, "total_footprint_m2": 2159614.8496, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-harvey_00000125_0810", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "For a post-disaster flooding scene (hurricane-harvey), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 60, "severe_footprint_m2": 563910.8659, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 60, "severe_count": 60, "severe_pct": 100.0, "severe_area_m2": 563910.8659, "total_area_m2": 563910.8659, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 46, "severe_count": 36, "severe_pct": 78.26, "severe_area_m2": 496578.3165, "total_area_m2": 594568.2113, "severity_score": 0.6033, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 20, "severe_count": 20, "severe_pct": 100.0, "severe_area_m2": 471068.0003, "total_area_m2": 471068.0003, "severity_score": 0.67, "dominant_damage": "major-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 17, "severe_count": 7, "severe_pct": 41.18, "severe_area_m2": 424462.0873, "total_area_m2": 530067.7721, "severity_score": 0.47, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 46, "severe_count": 36, "severe_pct": 78.26, "severe_area_m2": 496578.3165, "total_area_m2": 594568.2113, "severity_score": 0.6033, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 20, "severe_count": 20, "severe_pct": 100.0, "severe_area_m2": 471068.0003, "total_area_m2": 471068.0003, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 60, "severe_count": 60, "severe_pct": 100.0, "severe_area_m2": 563910.8659, "total_area_m2": 563910.8659, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-harvey_00000125_0811", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 0.67, "building_count": 2, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 2, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 158163.4785, "total_area_m2": 158163.4785, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 12, "severe_count": 12, "severe_pct": 100.0, "severe_area_m2": 182742.5342, "total_area_m2": 182742.5342, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 14, "severe_count": 14, "severe_pct": 100.0, "severe_area_m2": 180590.6154, "total_area_m2": 180590.6154, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-harvey_00000125_0812", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "From the post-disaster flooding scene (hurricane-harvey), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 123, "severe_footprint_m2": 1956019.27, "major_damage_area_m2": 1953709.4966, "destroyed_area_m2": 2309.7734, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-harvey_00000125_0813", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster flooding scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 123, "max_severe_in_cell": 60, "concentration_score": 0.4878, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 7, "Q1": 36, "Q2": 20, "Q3": 60}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-harvey_00000125_0814", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000125", "split": "hold", "qa_split": "test", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-harvey). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-harvey", "disaster_type": "flooding", "capture_date": "2017-08-31T17:38:50.685Z", "gsd": 3.024613, "damage_summary": {"total_buildings": 143, "classified_buildings": 143, "counts": {"no-damage": 0, "minor-damage": 20, "major-damage": 122, "destroyed": 1, "unclassified": 0}, "severe_count": 123, "severe_pct": 86.01, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 2159614.8496, "severe_footprint_m2": 1956019.27, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.4878, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 223763, "polygon_severe_count": 123, "pixel_histogram": {"0": 801118, "1": 0, "2": 23695, "3": 223475, "4": 288, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 9.5754, "3": 90.3083, "4": 0.1164, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000377_0893", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 0, "major-damage": 1, "destroyed": 11, "unclassified": 3}, "total_buildings": 15, "classified_buildings": 12, "damaged_count": 12, "severe_count": 12, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 6606.5725, "total_footprint_m2": 8043.1257, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000377_0894", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 12, "severe_footprint_m2": 6606.5725, "severe_pct_in_quadrant": 80.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 15, "severe_count": 12, "severe_pct": 80.0, "severe_area_m2": 6606.5725, "total_area_m2": 8043.1257, "severity_score": 0.778, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 15, "severe_count": 12, "severe_pct": 80.0, "severe_area_m2": 6606.5725, "total_area_m2": 8043.1257, "severity_score": 0.778, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000377_0895", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G03", "severity_score": 0.8977, "building_count": 13, "severe_count": 12, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 1, "destroyed": 11, "unclassified": 1}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G03", "row": 0, "col": 3, "building_count": 13, "severe_count": 12, "severe_pct": 92.31, "severe_area_m2": 6606.5725, "total_area_m2": 6858.2912, "severity_score": 0.8977, "dominant_damage": "destroyed"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000377_0896", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 12, "severe_footprint_m2": 6606.5725, "major_damage_area_m2": 768.7359, "destroyed_area_m2": 5837.8366, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000377_0897", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 12, "max_severe_in_cell": 12, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 12, "Q2": 0, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000377_0898", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000377", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-10T16:04:56.646Z", "gsd": 1.59234964847565, "damage_summary": {"total_buildings": 15, "classified_buildings": 12, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 1, "destroyed": 11, "unclassified": 3}, "severe_count": 12, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 8043.1257, "severe_footprint_m2": 6606.5725, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 2901, "polygon_severe_count": 12, "pixel_histogram": {"0": 1045675, "1": 0, "2": 0, "3": 335, "4": 2566, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 11.5477, "4": 88.4523, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_santa-rosa-wildfire_00000157_0911", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (santa-rosa-wildfire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 0, "major-damage": 0, "destroyed": 271, "unclassified": 0}, "total_buildings": 271, "classified_buildings": 271, "damaged_count": 271, "severe_count": 271, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 954478.6042, "total_footprint_m2": 954478.6042, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_santa-rosa-wildfire_00000157_0912", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (santa-rosa-wildfire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 91, "severe_footprint_m2": 323172.8782, "severe_pct_in_quadrant": 100.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 91, "severe_count": 91, "severe_pct": 100.0, "severe_area_m2": 323172.8782, "total_area_m2": 323172.8782, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 79, "severe_count": 79, "severe_pct": 100.0, "severe_area_m2": 277363.3444, "total_area_m2": 277363.3444, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 55, "severe_count": 55, "severe_pct": 100.0, "severe_area_m2": 191038.7925, "total_area_m2": 191038.7925, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 91, "severe_count": 91, "severe_pct": 100.0, "severe_area_m2": 323172.8782, "total_area_m2": 323172.8782, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 46, "severe_count": 46, "severe_pct": 100.0, "severe_area_m2": 162903.5891, "total_area_m2": 162903.5891, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 79, "severe_count": 79, "severe_pct": 100.0, "severe_area_m2": 277363.3444, "total_area_m2": 277363.3444, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 55, "severe_count": 55, "severe_pct": 100.0, "severe_area_m2": 191038.7925, "total_area_m2": 191038.7925, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_santa-rosa-wildfire_00000157_0913", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 1.0, "building_count": 23, "severe_count": 23, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 23, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 23, "severe_count": 23, "severe_pct": 100.0, "severe_area_m2": 76631.5287, "total_area_m2": 76631.5287, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 21, "severe_count": 21, "severe_pct": 100.0, "severe_area_m2": 73123.4653, "total_area_m2": 73123.4653, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 23, "severe_count": 23, "severe_pct": 100.0, "severe_area_m2": 83802.8413, "total_area_m2": 83802.8413, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_santa-rosa-wildfire_00000157_0914", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (santa-rosa-wildfire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 271, "severe_footprint_m2": 954478.6042, "major_damage_area_m2": 0.0, "destroyed_area_m2": 954478.6042, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_santa-rosa-wildfire_00000157_0915", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 271, "max_severe_in_cell": 91, "concentration_score": 0.3358, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 91, "Q1": 46, "Q2": 79, "Q3": 55}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_santa-rosa-wildfire_00000157_0916", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (santa-rosa-wildfire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "santa-rosa-wildfire", "disaster_type": "fire", "capture_date": "2017-10-11T19:19:41.000Z", "gsd": 1.8769937, "damage_summary": {"total_buildings": 271, "classified_buildings": 271, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 0, "destroyed": 271, "unclassified": 0}, "severe_count": 271, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 954478.6042, "severe_footprint_m2": 954478.6042, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3358, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 288591, "polygon_severe_count": 271, "pixel_histogram": {"0": 759985, "1": 0, "2": 0, "3": 0, "4": 288591, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 0.0, "4": 100.0, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_santa-rosa-wildfire_00000016_1007", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (santa-rosa-wildfire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 4, "minor-damage": 0, "major-damage": 0, "destroyed": 18, "unclassified": 0}, "total_buildings": 22, "classified_buildings": 22, "damaged_count": 18, "severe_count": 18, "damaged_pct": 81.82, "severe_pct": 81.82, "severe_footprint_m2": 73545.0951, "total_footprint_m2": 137673.2736, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_santa-rosa-wildfire_00000016_1008", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (santa-rosa-wildfire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q2", "severe_count": 9, "severe_footprint_m2": 37436.2264, "severe_pct_in_quadrant": 75.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 12, "severe_count": 9, "severe_pct": 75.0, "severe_area_m2": 37436.2264, "total_area_m2": 95173.3705, "severity_score": 0.75, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 8, "severe_count": 7, "severe_pct": 87.5, "severe_area_m2": 23848.8678, "total_area_m2": 30239.9022, "severity_score": 0.875, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 8611.1934, "total_area_m2": 8611.1934, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 7, "severe_pct": 87.5, "severe_area_m2": 23848.8678, "total_area_m2": 30239.9022, "severity_score": 0.875, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3648.8075, "total_area_m2": 3648.8075, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 12, "severe_count": 9, "severe_pct": 75.0, "severe_area_m2": 37436.2264, "total_area_m2": 95173.3705, "severity_score": 0.75, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 8611.1934, "total_area_m2": 8611.1934, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_santa-rosa-wildfire_00000016_1009", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G02", "severity_score": 1.0, "building_count": 1, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 1, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3648.8075, "total_area_m2": 3648.8075, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G10", "row": 1, "col": 0, "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 17398.1782, "total_area_m2": 17398.1782, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 6450.6896, "total_area_m2": 6450.6896, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_santa-rosa-wildfire_00000016_1010", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (santa-rosa-wildfire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 18, "severe_footprint_m2": 73545.0951, "major_damage_area_m2": 0.0, "destroyed_area_m2": 73545.0951, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_santa-rosa-wildfire_00000016_1011", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 18, "max_severe_in_cell": 9, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 7, "Q1": 1, "Q2": 9, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_santa-rosa-wildfire_00000016_1012", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000016", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (santa-rosa-wildfire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "santa-rosa-wildfire", "disaster_type": "fire", "capture_date": "2017-10-11T19:19:41.000Z", "gsd": 1.8769937, "damage_summary": {"total_buildings": 22, "classified_buildings": 22, "counts": {"no-damage": 4, "minor-damage": 0, "major-damage": 0, "destroyed": 18, "unclassified": 0}, "severe_count": 18, "severe_pct": 81.82, "damaged_pct": 81.82}, "area_summary": {"total_footprint_m2": 137673.2736, "severe_footprint_m2": 73545.0951, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 22207, "polygon_severe_count": 18, "pixel_histogram": {"0": 1007615, "1": 18754, "2": 0, "3": 0, "4": 22207, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 45.785, "2": 0.0, "3": 0.0, "4": 54.215, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_santa-rosa-wildfire_00000048_1019", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (santa-rosa-wildfire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 7, "minor-damage": 0, "major-damage": 0, "destroyed": 35, "unclassified": 0}, "total_buildings": 42, "classified_buildings": 42, "damaged_count": 35, "severe_count": 35, "damaged_pct": 83.33, "severe_pct": 83.33, "severe_footprint_m2": 173740.2827, "total_footprint_m2": 196769.8985, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_santa-rosa-wildfire_00000048_1020", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (santa-rosa-wildfire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q2", "severe_count": 11, "severe_footprint_m2": 48422.709, "severe_pct_in_quadrant": 100.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 11, "severe_count": 11, "severe_pct": 100.0, "severe_area_m2": 48422.709, "total_area_m2": 48422.709, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 12, "severe_count": 10, "severe_pct": 83.33, "severe_area_m2": 48251.6953, "total_area_m2": 55131.4593, "severity_score": 0.8333, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 42586.0682, "total_area_m2": 54673.2774, "severity_score": 0.7273, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 10, "severe_pct": 83.33, "severe_area_m2": 48251.6953, "total_area_m2": 55131.4593, "severity_score": 0.8333, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 6, "severe_pct": 75.0, "severe_area_m2": 34479.8102, "total_area_m2": 38542.4528, "severity_score": 0.75, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 11, "severe_pct": 100.0, "severe_area_m2": 48422.709, "total_area_m2": 48422.709, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 42586.0682, "total_area_m2": 54673.2774, "severity_score": 0.7273, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_santa-rosa-wildfire_00000048_1021", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G01", "severity_score": 1.0, "building_count": 3, "severe_count": 3, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 3, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G01", "row": 0, "col": 1, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 8099.6288, "total_area_m2": 8099.6288, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 6568.9497, "total_area_m2": 6568.9497, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 15744.9579, "total_area_m2": 15744.9579, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_santa-rosa-wildfire_00000048_1022", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (santa-rosa-wildfire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 35, "severe_footprint_m2": 173740.2827, "major_damage_area_m2": 0.0, "destroyed_area_m2": 173740.2827, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_santa-rosa-wildfire_00000048_1023", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 35, "max_severe_in_cell": 11, "concentration_score": 0.3143, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 10, "Q1": 6, "Q2": 11, "Q3": 8}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_santa-rosa-wildfire_00000048_1024", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000048", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (santa-rosa-wildfire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "santa-rosa-wildfire", "disaster_type": "fire", "capture_date": "2017-10-11T19:19:41.000Z", "gsd": 1.8769937, "damage_summary": {"total_buildings": 42, "classified_buildings": 42, "counts": {"no-damage": 7, "minor-damage": 0, "major-damage": 0, "destroyed": 35, "unclassified": 0}, "severe_count": 35, "severe_pct": 83.33, "damaged_pct": 83.33}, "area_summary": {"total_footprint_m2": 196769.8985, "severe_footprint_m2": 173740.2827, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3143, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 52079, "polygon_severe_count": 35, "pixel_histogram": {"0": 989581, "1": 6916, "2": 0, "3": 0, "4": 52079, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 11.723, "2": 0.0, "3": 0.0, "4": 88.277, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000255_1061", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 6, "major-damage": 3, "destroyed": 12, "unclassified": 0}, "total_buildings": 21, "classified_buildings": 21, "damaged_count": 21, "severe_count": 15, "damaged_pct": 100.0, "severe_pct": 71.43, "severe_footprint_m2": 4826.6022, "total_footprint_m2": 7481.0801, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000255_1062", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 8, "severe_footprint_m2": 2616.7223, "severe_pct_in_quadrant": 72.73, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 2616.7223, "total_area_m2": 4050.8409, "severity_score": 0.7573, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 1280.799, "total_area_m2": 1280.799, "severity_score": 0.89, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 929.0809, "total_area_m2": 929.0809, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1220.3593, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 929.0809, "total_area_m2": 929.0809, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 1280.799, "total_area_m2": 1280.799, "severity_score": 0.89, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 2616.7223, "total_area_m2": 4050.8409, "severity_score": 0.7573, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000255_1063", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G02", "severity_score": 1.0, "building_count": 2, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 2, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 213.7994, "total_area_m2": 213.7994, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 715.2815, "total_area_m2": 715.2815, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G30", "row": 3, "col": 0, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 1280.799, "total_area_m2": 1280.799, "severity_score": 0.89, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000255_1064", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 15, "severe_footprint_m2": 4826.6022, "major_damage_area_m2": 1457.5981, "destroyed_area_m2": 3369.0041, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000255_1065", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 15, "max_severe_in_cell": 8, "concentration_score": 0.5333, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 4, "Q2": 3, "Q3": 8}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000255_1066", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-10T16:04:56.646Z", "gsd": 1.59234964847565, "damage_summary": {"total_buildings": 21, "classified_buildings": 21, "counts": {"no-damage": 0, "minor-damage": 6, "major-damage": 3, "destroyed": 12, "unclassified": 0}, "severe_count": 15, "severe_pct": 71.43, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 7481.0801, "severe_footprint_m2": 4826.6022, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5333, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 2229, "polygon_severe_count": 15, "pixel_histogram": {"0": 1045130, "1": 0, "2": 1217, "3": 644, "4": 1585, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 35.3163, "3": 18.6883, "4": 45.9954, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_socal-fire_00001276_1079", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (socal-fire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 0, "major-damage": 3, "destroyed": 15, "unclassified": 0}, "total_buildings": 18, "classified_buildings": 18, "damaged_count": 18, "severe_count": 18, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 29750.7412, "total_footprint_m2": 29750.7412, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_socal-fire_00001276_1080", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (socal-fire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 17, "severe_footprint_m2": 26439.1404, "severe_pct_in_quadrant": 100.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 17, "severe_count": 17, "severe_pct": 100.0, "severe_area_m2": 26439.1404, "total_area_m2": 26439.1404, "severity_score": 0.9418, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3311.6008, "total_area_m2": 3311.6008, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 17, "severe_count": 17, "severe_pct": 100.0, "severe_area_m2": 26439.1404, "total_area_m2": 26439.1404, "severity_score": 0.9418, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3311.6008, "total_area_m2": 3311.6008, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_socal-fire_00001276_1081", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 1.0, "building_count": 5, "severe_count": 5, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 5, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 4847.545, "total_area_m2": 4847.545, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G21", "row": 2, "col": 1, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3311.6008, "total_area_m2": 3311.6008, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 12, "severe_count": 12, "severe_pct": 100.0, "severe_area_m2": 21591.5954, "total_area_m2": 21591.5954, "severity_score": 0.9175, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_socal-fire_00001276_1082", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (socal-fire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 18, "severe_footprint_m2": 29750.7412, "major_damage_area_m2": 7148.6923, "destroyed_area_m2": 22602.0489, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_socal-fire_00001276_1083", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 18, "max_severe_in_cell": 17, "concentration_score": 0.9444, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 17, "Q1": 0, "Q2": 1, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_socal-fire_00001276_1084", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00001276", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (socal-fire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "socal-fire", "disaster_type": "fire", "capture_date": "2018-11-14T18:42:58.000Z", "gsd": 2.5700748, "damage_summary": {"total_buildings": 18, "classified_buildings": 18, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 3, "destroyed": 15, "unclassified": 0}, "severe_count": 18, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 29750.7412, "severe_footprint_m2": 29750.7412, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.9444, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4900, "polygon_severe_count": 18, "pixel_histogram": {"0": 1043676, "1": 0, "2": 0, "3": 1142, "4": 3758, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 0.0, "3": 23.3061, "4": 76.6939, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_santa-rosa-wildfire_00000282_1229", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (santa-rosa-wildfire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 1, "minor-damage": 0, "major-damage": 0, "destroyed": 10, "unclassified": 0}, "total_buildings": 11, "classified_buildings": 11, "damaged_count": 10, "severe_count": 10, "damaged_pct": 90.91, "severe_pct": 90.91, "severe_footprint_m2": 28540.4023, "total_footprint_m2": 35879.5082, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_santa-rosa-wildfire_00000282_1230", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (santa-rosa-wildfire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 2, "severe_footprint_m2": 11153.7824, "severe_pct_in_quadrant": 100.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 11153.7824, "total_area_m2": 11153.7824, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 10255.1805, "total_area_m2": 17594.2864, "severity_score": 0.8, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 4513.7617, "total_area_m2": 4513.7617, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2617.6777, "total_area_m2": 2617.6777, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 11153.7824, "total_area_m2": 11153.7824, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 4513.7617, "total_area_m2": 4513.7617, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 10255.1805, "total_area_m2": 17594.2864, "severity_score": 0.8, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_santa-rosa-wildfire_00000282_1231", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 1.0, "building_count": 1, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 1, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2617.6777, "total_area_m2": 2617.6777, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 5098.2379, "total_area_m2": 5098.2379, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 6055.5445, "total_area_m2": 6055.5445, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_santa-rosa-wildfire_00000282_1232", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (santa-rosa-wildfire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 10, "severe_footprint_m2": 28540.4023, "major_damage_area_m2": 0.0, "destroyed_area_m2": 28540.4023, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_santa-rosa-wildfire_00000282_1233", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 10, "max_severe_in_cell": 4, "concentration_score": 0.4, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 1, "Q1": 2, "Q2": 3, "Q3": 4}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_santa-rosa-wildfire_00000282_1234", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (santa-rosa-wildfire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "santa-rosa-wildfire", "disaster_type": "fire", "capture_date": "2017-10-11T19:19:41.000Z", "gsd": 1.8769937, "damage_summary": {"total_buildings": 11, "classified_buildings": 11, "counts": {"no-damage": 1, "minor-damage": 0, "major-damage": 0, "destroyed": 10, "unclassified": 0}, "severe_count": 10, "severe_pct": 90.91, "damaged_pct": 90.91}, "area_summary": {"total_footprint_m2": 35879.5082, "severe_footprint_m2": 28540.4023, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.4, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 8752, "polygon_severe_count": 10, "pixel_histogram": {"0": 1037637, "1": 2187, "2": 0, "3": 0, "4": 8752, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 19.9927, "2": 0.0, "3": 0.0, "4": 80.0073, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_santa-rosa-wildfire_00000121_1235", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A post-disaster satellite scene from a fire event (santa-rosa-wildfire) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 2, "minor-damage": 0, "major-damage": 0, "destroyed": 71, "unclassified": 0}, "total_buildings": 73, "classified_buildings": 73, "damaged_count": 71, "severe_count": 71, "damaged_pct": 97.26, "severe_pct": 97.26, "severe_footprint_m2": 416993.2225, "total_footprint_m2": 434147.4169, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_santa-rosa-wildfire_00000121_1236", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "For a post-disaster fire scene (santa-rosa-wildfire), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 27, "severe_footprint_m2": 167012.2226, "severe_pct_in_quadrant": 100.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 27, "severe_count": 27, "severe_pct": 100.0, "severe_area_m2": 167012.2226, "total_area_m2": 167012.2226, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 20, "severe_count": 19, "severe_pct": 95.0, "severe_area_m2": 116276.8161, "total_area_m2": 124827.8342, "severity_score": 0.95, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 19, "severe_count": 19, "severe_pct": 100.0, "severe_area_m2": 95533.3356, "total_area_m2": 95533.3356, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 27, "severe_count": 27, "severe_pct": 100.0, "severe_area_m2": 167012.2226, "total_area_m2": 167012.2226, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 20, "severe_count": 19, "severe_pct": 95.0, "severe_area_m2": 116276.8161, "total_area_m2": 124827.8342, "severity_score": 0.95, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 19, "severe_count": 19, "severe_pct": 100.0, "severe_area_m2": 95533.3356, "total_area_m2": 95533.3356, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 38170.8482, "total_area_m2": 46774.0245, "severity_score": 0.8571, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_santa-rosa-wildfire_00000121_1237", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "A 4\u00d74 grid has been overlaid on a post-disaster fire satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G00", "severity_score": 1.0, "building_count": 6, "severe_count": 6, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 6, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 28667.2132, "total_area_m2": 28667.2132, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 9, "severe_count": 9, "severe_pct": 100.0, "severe_area_m2": 58016.5588, "total_area_m2": 58016.5588, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 59215.1514, "total_area_m2": 59215.1514, "severity_score": 1.0, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_santa-rosa-wildfire_00000121_1238", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "From the post-disaster fire scene (santa-rosa-wildfire), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 71, "severe_footprint_m2": 416993.2225, "major_damage_area_m2": 0.0, "destroyed_area_m2": 416993.2225, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_santa-rosa-wildfire_00000121_1239", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Analyze the spatial distribution of severe building damage in this post-disaster fire scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 71, "max_severe_in_cell": 27, "concentration_score": 0.3803, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 27, "Q1": 19, "Q2": 19, "Q3": 6}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_santa-rosa-wildfire_00000121_1240", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000121", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Create a comprehensive scene-level damage summary for this post-disaster fire scene (santa-rosa-wildfire). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "santa-rosa-wildfire", "disaster_type": "fire", "capture_date": "2017-10-11T19:19:41.000Z", "gsd": 1.8769937, "damage_summary": {"total_buildings": 73, "classified_buildings": 73, "counts": {"no-damage": 2, "minor-damage": 0, "major-damage": 0, "destroyed": 71, "unclassified": 0}, "severe_count": 71, "severe_pct": 97.26, "damaged_pct": 97.26}, "area_summary": {"total_footprint_m2": 434147.4169, "severe_footprint_m2": 416993.2225, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3803, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 124227, "polygon_severe_count": 71, "pixel_histogram": {"0": 919277, "1": 5072, "2": 0, "3": 0, "4": 124227, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 3.9227, "2": 0.0, "3": 0.0, "4": 96.0773, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_guatemala-volcano_00000004_1253", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a volcano event (guatemala-volcano) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 2, "minor-damage": 6, "major-damage": 8, "destroyed": 4, "unclassified": 0}, "total_buildings": 20, "classified_buildings": 20, "damaged_count": 18, "severe_count": 12, "damaged_pct": 90.0, "severe_pct": 60.0, "severe_footprint_m2": 44392.4244, "total_footprint_m2": 65366.5522, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_guatemala-volcano_00000004_1254", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "For a post-disaster volcano scene (guatemala-volcano), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 8, "severe_footprint_m2": 38553.2092, "severe_pct_in_quadrant": 61.54, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 13, "severe_count": 8, "severe_pct": 61.54, "severe_area_m2": 38553.2092, "total_area_m2": 55474.6332, "severity_score": 0.59, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 7, "severe_count": 4, "severe_pct": 57.14, "severe_area_m2": 5839.2152, "total_area_m2": 9891.919, "severity_score": 0.5243, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 13, "severe_count": 8, "severe_pct": 61.54, "severe_area_m2": 38553.2092, "total_area_m2": 55474.6332, "severity_score": 0.59, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 7, "severe_count": 4, "severe_pct": 57.14, "severe_area_m2": 5839.2152, "total_area_m2": 9891.919, "severity_score": 0.5243, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_guatemala-volcano_00000004_1255", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster volcano satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G10", "severity_score": 1.0, "building_count": 1, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 1, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 400.2772, "total_area_m2": 400.2772, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G30", "row": 3, "col": 0, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 3344.0997, "total_area_m2": 3344.0997, "severity_score": 0.835, "dominant_damage": "major-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 1179.2933, "total_area_m2": 1179.2933, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_guatemala-volcano_00000004_1256", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "From the post-disaster volcano scene (guatemala-volcano), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 12, "severe_footprint_m2": 44392.4244, "major_damage_area_m2": 39813.6529, "destroyed_area_m2": 4578.7715, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_guatemala-volcano_00000004_1257", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster volcano scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 12, "max_severe_in_cell": 8, "concentration_score": 0.6667, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 8, "Q1": 0, "Q2": 4, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_guatemala-volcano_00000004_1258", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster volcano scene (guatemala-volcano). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "guatemala-volcano", "disaster_type": "volcano", "capture_date": "2018-06-22T16:55:40.000Z", "gsd": 1.4085245, "damage_summary": {"total_buildings": 20, "classified_buildings": 20, "counts": {"no-damage": 2, "minor-damage": 6, "major-damage": 8, "destroyed": 4, "unclassified": 0}, "severe_count": 12, "severe_pct": 60.0, "damaged_pct": 90.0}, "area_summary": {"total_footprint_m2": 65366.5522, "severe_footprint_m2": 44392.4244, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6667, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 23165, "polygon_severe_count": 12, "pixel_histogram": {"0": 1014161, "1": 1523, "2": 9727, "3": 20674, "4": 2491, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 4.4254, "2": 28.2638, "3": 60.0726, "4": 7.2381, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000033_1289", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 11, "minor-damage": 9, "major-damage": 3, "destroyed": 5, "unclassified": 2}, "total_buildings": 30, "classified_buildings": 28, "damaged_count": 17, "severe_count": 8, "damaged_pct": 60.71, "severe_pct": 28.57, "severe_footprint_m2": 17533.6503, "total_footprint_m2": 58809.3275, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000033_1290", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 5, "severe_footprint_m2": 8789.4537, "severe_pct_in_quadrant": 27.78, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 18, "severe_count": 5, "severe_pct": 27.78, "severe_area_m2": 8789.4537, "total_area_m2": 37137.9432, "severity_score": 0.4061, "dominant_damage": "minor-damage"}, {"cell_id": "Q0", "building_count": 12, "severe_count": 3, "severe_pct": 25.0, "severe_area_m2": 8744.1966, "total_area_m2": 21671.3843, "severity_score": 0.2225, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 3, "severe_pct": 25.0, "severe_area_m2": 8744.1966, "total_area_m2": 21671.3843, "severity_score": 0.2225, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 18, "severe_count": 5, "severe_pct": 27.78, "severe_area_m2": 8789.4537, "total_area_m2": 37137.9432, "severity_score": 0.4061, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000033_1291", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G02", "severity_score": 0.432, "building_count": 10, "severe_count": 3, "class_histogram": {"no_damage": 3, "minor_damage": 4, "major_damage": 0, "destroyed": 3, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 10, "severe_count": 3, "severe_pct": 30.0, "severe_area_m2": 4728.014, "total_area_m2": 19088.5925, "severity_score": 0.432, "dominant_damage": "minor-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 7, "severe_count": 3, "severe_pct": 42.86, "severe_area_m2": 8744.1966, "total_area_m2": 13130.3984, "severity_score": 0.3814, "dominant_damage": "major-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 8, "severe_count": 2, "severe_pct": 25.0, "severe_area_m2": 4061.4397, "total_area_m2": 18049.3507, "severity_score": 0.3738, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000033_1292", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 8, "severe_footprint_m2": 17533.6503, "major_damage_area_m2": 11203.5669, "destroyed_area_m2": 6330.0834, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000033_1293", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 8, "max_severe_in_cell": 5, "concentration_score": 0.625, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 3, "Q1": 5, "Q2": 0, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000033_1294", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000033", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 30, "classified_buildings": 28, "counts": {"no-damage": 11, "minor-damage": 9, "major-damage": 3, "destroyed": 5, "unclassified": 2}, "severe_count": 8, "severe_pct": 28.57, "damaged_pct": 60.71}, "area_summary": {"total_footprint_m2": 58809.3275, "severe_footprint_m2": 17533.6503, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.625, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4489, "polygon_severe_count": 8, "pixel_histogram": {"0": 1034019, "1": 5759, "2": 4309, "3": 2816, "4": 1673, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 39.5617, "2": 29.6009, "3": 19.3446, "4": 11.4928, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000073_1319", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 12, "minor-damage": 6, "major-damage": 5, "destroyed": 3, "unclassified": 0}, "total_buildings": 26, "classified_buildings": 26, "damaged_count": 14, "severe_count": 8, "damaged_pct": 53.85, "severe_pct": 30.77, "severe_footprint_m2": 145514.2448, "total_footprint_m2": 332110.2017, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000073_1320", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 7, "severe_footprint_m2": 143078.0922, "severe_pct_in_quadrant": 58.33, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 7, "severe_pct": 58.33, "severe_area_m2": 143078.0922, "total_area_m2": 149863.7407, "severity_score": 0.4733, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 2436.1526, "total_area_m2": 18853.1948, "severity_score": 0.335, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 22556.3772, "severity_score": 0.0825, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 7, "severe_pct": 58.33, "severe_area_m2": 143078.0922, "total_area_m2": 149863.7407, "severity_score": 0.4733, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 22556.3772, "severity_score": 0.0825, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 2436.1526, "total_area_m2": 18853.1948, "severity_score": 0.335, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 140836.889, "severity_score": 0.2063, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000073_1321", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G10", "severity_score": 0.67, "building_count": 1, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 90181.0117, "total_area_m2": 90181.0117, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G31", "row": 3, "col": 1, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2436.1526, "total_area_m2": 2436.1526, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 4, "severe_pct": 66.67, "severe_area_m2": 46865.9997, "total_area_m2": 49215.8522, "severity_score": 0.6117, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000073_1322", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 8, "severe_footprint_m2": 145514.2448, "major_damage_area_m2": 123629.0763, "destroyed_area_m2": 21885.1685, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000073_1323", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 8, "max_severe_in_cell": 7, "concentration_score": 0.875, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 7, "Q1": 0, "Q2": 1, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000073_1324", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000073", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 26, "classified_buildings": 26, "counts": {"no-damage": 12, "minor-damage": 6, "major-damage": 5, "destroyed": 3, "unclassified": 0}, "severe_count": 8, "severe_pct": 30.77, "damaged_pct": 53.85}, "area_summary": {"total_footprint_m2": 332110.2017, "severe_footprint_m2": 145514.2448, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.875, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 34788, "polygon_severe_count": 8, "pixel_histogram": {"0": 968464, "1": 23084, "2": 22240, "3": 29473, "4": 5315, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 28.8147, "2": 27.7611, "3": 36.7897, "4": 6.6345, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_palu-tsunami_00000144_1325", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a tsunami event (palu-tsunami) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 157, "minor-damage": 0, "major-damage": 2, "destroyed": 1, "unclassified": 0}, "total_buildings": 160, "classified_buildings": 160, "damaged_count": 3, "severe_count": 3, "damaged_pct": 1.88, "severe_pct": 1.88, "severe_footprint_m2": 74320.3148, "total_footprint_m2": 616788.239, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_palu-tsunami_00000144_1326", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "For a post-disaster tsunami scene (palu-tsunami), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 1, "severe_footprint_m2": 69834.4356, "severe_pct_in_quadrant": 2.86, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 35, "severe_count": 1, "severe_pct": 2.86, "severe_area_m2": 69834.4356, "total_area_m2": 233879.1212, "severity_score": 0.0191, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 1, "severe_pct": 9.09, "severe_area_m2": 3122.8167, "total_area_m2": 32127.1231, "severity_score": 0.0609, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 104, "severe_count": 1, "severe_pct": 0.96, "severe_area_m2": 1363.0625, "total_area_m2": 318138.1296, "severity_score": 0.0096, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 104, "severe_count": 1, "severe_pct": 0.96, "severe_area_m2": 1363.0625, "total_area_m2": 318138.1296, "severity_score": 0.0096, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 32643.8651, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 1, "severe_pct": 9.09, "severe_area_m2": 3122.8167, "total_area_m2": 32127.1231, "severity_score": 0.0609, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 35, "severe_count": 1, "severe_pct": 2.86, "severe_area_m2": 69834.4356, "total_area_m2": 233879.1212, "severity_score": 0.0191, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_palu-tsunami_00000144_1327", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster tsunami satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G31", "severity_score": 0.335, "building_count": 2, "severe_count": 1, "class_histogram": {"no_damage": 1, "minor_damage": 0, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G31", "row": 3, "col": 1, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 3122.8167, "total_area_m2": 5865.486, "severity_score": 0.335, "dominant_damage": "no-damage"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 3, "severe_count": 1, "severe_pct": 33.33, "severe_area_m2": 1363.0625, "total_area_m2": 9281.6908, "severity_score": 0.3333, "dominant_damage": "no-damage"}, {"cell_id": "G32", "row": 3, "col": 2, "building_count": 7, "severe_count": 1, "severe_pct": 14.29, "severe_area_m2": 69834.4356, "total_area_m2": 115996.6974, "severity_score": 0.0957, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_palu-tsunami_00000144_1328", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "From the post-disaster tsunami scene (palu-tsunami), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 3, "severe_footprint_m2": 74320.3148, "major_damage_area_m2": 72957.2523, "destroyed_area_m2": 1363.0625, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_palu-tsunami_00000144_1329", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster tsunami scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 3, "max_severe_in_cell": 1, "concentration_score": 0.3333, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 1, "Q1": 0, "Q2": 1, "Q3": 1}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_palu-tsunami_00000144_1330", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000144", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster tsunami scene (palu-tsunami). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "palu-tsunami", "disaster_type": "tsunami", "capture_date": "2018-10-01T02:26:02.000Z", "gsd": 2.8247435, "damage_summary": {"total_buildings": 160, "classified_buildings": 160, "counts": {"no-damage": 157, "minor-damage": 0, "major-damage": 2, "destroyed": 1, "unclassified": 0}, "severe_count": 3, "severe_pct": 1.88, "damaged_pct": 1.88}, "area_summary": {"total_footprint_m2": 616788.239, "severe_footprint_m2": 74320.3148, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3333, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 9544, "polygon_severe_count": 3, "pixel_histogram": {"0": 965867, "1": 73165, "2": 0, "3": 9349, "4": 195, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 88.4607, "2": 0.0, "3": 11.3035, "4": 0.2358, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000161_1343", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 7, "minor-damage": 7, "major-damage": 5, "destroyed": 2, "unclassified": 0}, "total_buildings": 21, "classified_buildings": 21, "damaged_count": 14, "severe_count": 7, "damaged_pct": 66.67, "severe_pct": 33.33, "severe_footprint_m2": 35585.8237, "total_footprint_m2": 108561.0189, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000161_1344", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q2", "severe_count": 4, "severe_footprint_m2": 23660.3957, "severe_pct_in_quadrant": 50.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 8, "severe_count": 4, "severe_pct": 50.0, "severe_area_m2": 23660.3957, "total_area_m2": 68156.5801, "severity_score": 0.4175, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 3, "severe_pct": 27.27, "severe_area_m2": 11925.428, "total_area_m2": 32205.1699, "severity_score": 0.3327, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4328.2517, "severity_score": 0.33, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4328.2517, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 3, "severe_pct": 27.27, "severe_area_m2": 11925.428, "total_area_m2": 32205.1699, "severity_score": 0.3327, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 8, "severe_count": 4, "severe_pct": 50.0, "severe_area_m2": 23660.3957, "total_area_m2": 68156.5801, "severity_score": 0.4175, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 3871.0172, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000161_1345", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G02", "severity_score": 0.5, "building_count": 2, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 4059.329, "total_area_m2": 5960.4797, "severity_score": 0.5, "dominant_damage": "minor-damage"}, {"cell_id": "G30", "row": 3, "col": 0, "building_count": 5, "severe_count": 3, "severe_pct": 60.0, "severe_area_m2": 20063.7899, "total_area_m2": 56202.6001, "severity_score": 0.468, "dominant_damage": "no-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 4970.4634, "total_area_m2": 8167.4913, "severity_score": 0.335, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000161_1346", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 7, "severe_footprint_m2": 35585.8237, "major_damage_area_m2": 31643.3053, "destroyed_area_m2": 3942.5184, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000161_1347", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 7, "max_severe_in_cell": 4, "concentration_score": 0.5714, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 3, "Q2": 4, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000161_1348", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000161", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 21, "classified_buildings": 21, "counts": {"no-damage": 7, "minor-damage": 7, "major-damage": 5, "destroyed": 2, "unclassified": 0}, "severe_count": 7, "severe_pct": 33.33, "damaged_pct": 66.67}, "area_summary": {"total_footprint_m2": 108561.0189, "severe_footprint_m2": 35585.8237, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5714, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 8869, "polygon_severe_count": 7, "pixel_histogram": {"0": 1021732, "1": 11480, "2": 6495, "3": 7871, "4": 998, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 42.7656, "2": 24.1954, "3": 29.3213, "4": 3.7178, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000315_1361", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 5, "minor-damage": 6, "major-damage": 4, "destroyed": 5, "unclassified": 4}, "total_buildings": 24, "classified_buildings": 20, "damaged_count": 15, "severe_count": 9, "damaged_pct": 75.0, "severe_pct": 45.0, "severe_footprint_m2": 4032.1374, "total_footprint_m2": 10917.3564, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000315_1362", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 5, "severe_footprint_m2": 2779.8078, "severe_pct_in_quadrant": 71.43, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 5, "severe_pct": 71.43, "severe_area_m2": 2779.8078, "total_area_m2": 3682.5895, "severity_score": 0.62, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 4, "severe_count": 2, "severe_pct": 50.0, "severe_area_m2": 716.5658, "total_area_m2": 1696.4238, "severity_score": 0.5825, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 2, "severe_pct": 18.18, "severe_area_m2": 535.7638, "total_area_m2": 4866.909, "severity_score": 0.2718, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 5, "severe_pct": 71.43, "severe_area_m2": 2779.8078, "total_area_m2": 3682.5895, "severity_score": 0.62, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 11, "severe_count": 2, "severe_pct": 18.18, "severe_area_m2": 535.7638, "total_area_m2": 4866.909, "severity_score": 0.2718, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 4, "severe_count": 2, "severe_pct": 50.0, "severe_area_m2": 716.5658, "total_area_m2": 1696.4238, "severity_score": 0.5825, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 671.4341, "severity_score": 0.0, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000315_1363", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 0.7767, "building_count": 3, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 0, "destroyed": 2, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 3, "severe_count": 2, "severe_pct": 66.67, "severe_area_m2": 826.6066, "total_area_m2": 1681.1692, "severity_score": 0.7767, "dominant_damage": "destroyed"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 495.9503, "total_area_m2": 495.9503, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G10", "row": 1, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 762.4874, "total_area_m2": 762.4874, "severity_score": 0.67, "dominant_damage": "major-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000315_1364", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 9, "severe_footprint_m2": 4032.1374, "major_damage_area_m2": 2350.4723, "destroyed_area_m2": 1681.6651, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000315_1365", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 9, "max_severe_in_cell": 5, "concentration_score": 0.5556, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 5, "Q1": 2, "Q2": 2, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000315_1366", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000315", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-10T16:04:56.646Z", "gsd": 1.59234964847565, "damage_summary": {"total_buildings": 24, "classified_buildings": 20, "counts": {"no-damage": 5, "minor-damage": 6, "major-damage": 4, "destroyed": 5, "unclassified": 4}, "severe_count": 9, "severe_pct": 45.0, "damaged_pct": 75.0}, "area_summary": {"total_footprint_m2": 10917.3564, "severe_footprint_m2": 4032.1374, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5556, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 1821, "polygon_severe_count": 9, "pixel_histogram": {"0": 1043986, "1": 1132, "2": 1637, "3": 1033, "4": 788, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 24.6623, "2": 35.6645, "3": 22.5054, "4": 17.1678, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000453_1385", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 45, "minor-damage": 8, "major-damage": 6, "destroyed": 2, "unclassified": 0}, "total_buildings": 61, "classified_buildings": 61, "damaged_count": 16, "severe_count": 8, "damaged_pct": 26.23, "severe_pct": 13.11, "severe_footprint_m2": 49329.1546, "total_footprint_m2": 314211.8566, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000453_1386", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 4, "severe_footprint_m2": 16460.7783, "severe_pct_in_quadrant": 16.67, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 24, "severe_count": 4, "severe_pct": 16.67, "severe_area_m2": 16460.7783, "total_area_m2": 100688.6986, "severity_score": 0.1529, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 7, "severe_count": 1, "severe_pct": 14.29, "severe_area_m2": 14385.8331, "total_area_m2": 49387.3992, "severity_score": 0.1429, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 19, "severe_count": 2, "severe_pct": 10.53, "severe_area_m2": 13264.2577, "total_area_m2": 93146.7479, "severity_score": 0.14, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 1, "severe_pct": 14.29, "severe_area_m2": 14385.8331, "total_area_m2": 49387.3992, "severity_score": 0.1429, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 19, "severe_count": 2, "severe_pct": 10.53, "severe_area_m2": 13264.2577, "total_area_m2": 93146.7479, "severity_score": 0.14, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 1, "severe_pct": 9.09, "severe_area_m2": 5218.2855, "total_area_m2": 70989.0109, "severity_score": 0.1209, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 24, "severe_count": 4, "severe_pct": 16.67, "severe_area_m2": 16460.7783, "total_area_m2": 100688.6986, "severity_score": 0.1529, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000453_1387", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G33", "severity_score": 0.267, "building_count": 10, "severe_count": 3, "class_histogram": {"no_damage": 7, "minor_damage": 0, "major_damage": 1, "destroyed": 2, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G33", "row": 3, "col": 3, "building_count": 10, "severe_count": 3, "severe_pct": 30.0, "severe_area_m2": 9480.6203, "total_area_m2": 42444.0612, "severity_score": 0.267, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 14385.8331, "total_area_m2": 28059.5287, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 5716.1247, "total_area_m2": 20458.1185, "severity_score": 0.25, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000453_1388", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 8, "severe_footprint_m2": 49329.1546, "major_damage_area_m2": 40629.0292, "destroyed_area_m2": 8700.1254, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000453_1389", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 8, "max_severe_in_cell": 4, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 1, "Q1": 2, "Q2": 1, "Q3": 4}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000453_1390", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000453", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 61, "classified_buildings": 61, "counts": {"no-damage": 45, "minor-damage": 8, "major-damage": 6, "destroyed": 2, "unclassified": 0}, "severe_count": 8, "severe_pct": 13.11, "damaged_pct": 26.23}, "area_summary": {"total_footprint_m2": 314211.8566, "severe_footprint_m2": 49329.1546, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 12140, "polygon_severe_count": 8, "pixel_histogram": {"0": 971033, "1": 53359, "2": 12044, "3": 9988, "4": 2152, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 68.8121, "2": 15.532, "3": 12.8806, "4": 2.7752, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000288_1451", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 23, "minor-damage": 10, "major-damage": 5, "destroyed": 7, "unclassified": 1}, "total_buildings": 46, "classified_buildings": 45, "damaged_count": 22, "severe_count": 12, "damaged_pct": 48.89, "severe_pct": 26.67, "severe_footprint_m2": 39306.171, "total_footprint_m2": 123316.2685, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "moderately concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000288_1452", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 6, "severe_footprint_m2": 25995.7051, "severe_pct_in_quadrant": 50.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 6, "severe_pct": 50.0, "severe_area_m2": 25995.7051, "total_area_m2": 36977.9595, "severity_score": 0.555, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 34, "severe_count": 6, "severe_pct": 17.65, "severe_area_m2": 13310.4659, "total_area_m2": 86338.309, "severity_score": 0.2056, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 12, "severe_count": 6, "severe_pct": 50.0, "severe_area_m2": 25995.7051, "total_area_m2": 36977.9595, "severity_score": 0.555, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 34, "severe_count": 6, "severe_pct": 17.65, "severe_area_m2": 13310.4659, "total_area_m2": 86338.309, "severity_score": 0.2056, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000288_1453", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 0.6667, "building_count": 3, "severe_count": 2, "class_histogram": {"no_damage": 1, "minor_damage": 0, "major_damage": 0, "destroyed": 2, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 3, "severe_count": 2, "severe_pct": 66.67, "severe_area_m2": 2523.1782, "total_area_m2": 4784.3174, "severity_score": 0.6667, "dominant_damage": "destroyed"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 7, "severe_count": 4, "severe_pct": 57.14, "severe_area_m2": 23472.5269, "total_area_m2": 26184.5137, "severity_score": 0.5714, "dominant_damage": "destroyed"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 10, "severe_count": 4, "severe_pct": 40.0, "severe_area_m2": 3828.5003, "total_area_m2": 18824.7096, "severity_score": 0.433, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000288_1454", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 12, "severe_footprint_m2": 39306.171, "major_damage_area_m2": 18717.0242, "destroyed_area_m2": 20589.1468, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000288_1455", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 12, "max_severe_in_cell": 6, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 6, "Q1": 6, "Q2": 0, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000288_1456", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000288", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 46, "classified_buildings": 45, "counts": {"no-damage": 23, "minor-damage": 10, "major-damage": 5, "destroyed": 7, "unclassified": 1}, "severe_count": 12, "severe_pct": 26.67, "damaged_pct": 48.89}, "area_summary": {"total_footprint_m2": 123316.2685, "severe_footprint_m2": 39306.171, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 9848, "polygon_severe_count": 12, "pixel_histogram": {"0": 1017508, "1": 14553, "2": 6667, "3": 4715, "4": 5133, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 46.8424, "2": 21.4594, "3": 15.1764, "4": 16.5218, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-matthew_00000247_1463", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-matthew) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 0, "minor-damage": 28, "major-damage": 10, "destroyed": 6, "unclassified": 15}, "total_buildings": 59, "classified_buildings": 44, "damaged_count": 44, "severe_count": 16, "damaged_pct": 100.0, "severe_pct": 36.36, "severe_footprint_m2": 7995.5519, "total_footprint_m2": 36798.911, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "spatially dispersed"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-matthew_00000247_1464", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-matthew), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 6, "severe_footprint_m2": 3860.2346, "severe_pct_in_quadrant": 26.09, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 23, "severe_count": 6, "severe_pct": 26.09, "severe_area_m2": 3860.2346, "total_area_m2": 13123.1248, "severity_score": 0.347, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 24, "severe_count": 6, "severe_pct": 25.0, "severe_area_m2": 2717.1729, "total_area_m2": 18740.66, "severity_score": 0.3875, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 4, "severe_pct": 36.36, "severe_area_m2": 1418.1444, "total_area_m2": 4584.675, "severity_score": 0.4236, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 350.4512, "severity_score": 0.0, "dominant_damage": "unclassified"}, {"cell_id": "Q1", "building_count": 23, "severe_count": 6, "severe_pct": 26.09, "severe_area_m2": 3860.2346, "total_area_m2": 13123.1248, "severity_score": 0.347, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 11, "severe_count": 4, "severe_pct": 36.36, "severe_area_m2": 1418.1444, "total_area_m2": 4584.675, "severity_score": 0.4236, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 24, "severe_count": 6, "severe_pct": 25.0, "severe_area_m2": 2717.1729, "total_area_m2": 18740.66, "severity_score": 0.3875, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-matthew_00000247_1465", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G21", "severity_score": 0.5567, "building_count": 3, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 1, "major_damage": 2, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G21", "row": 2, "col": 1, "building_count": 3, "severe_count": 2, "severe_pct": 66.67, "severe_area_m2": 1022.9193, "total_area_m2": 1444.2899, "severity_score": 0.5567, "dominant_damage": "major-damage"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 6, "severe_count": 1, "severe_pct": 16.67, "severe_area_m2": 444.3706, "total_area_m2": 3714.3626, "severity_score": 0.4417, "dominant_damage": "minor-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 7, "severe_count": 2, "severe_pct": 28.57, "severe_area_m2": 395.2251, "total_area_m2": 2470.5225, "severity_score": 0.4271, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-matthew_00000247_1466", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-matthew), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 16, "severe_footprint_m2": 7995.5519, "major_damage_area_m2": 6143.4638, "destroyed_area_m2": 1852.0881, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-matthew_00000247_1467", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 16, "max_severe_in_cell": 6, "concentration_score": 0.375, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 0, "Q1": 6, "Q2": 4, "Q3": 6}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-matthew_00000247_1468", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000247", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-matthew). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-matthew", "disaster_type": "wind", "capture_date": "2016-10-10T16:04:56.646Z", "gsd": 1.59234964847565, "damage_summary": {"total_buildings": 59, "classified_buildings": 44, "counts": {"no-damage": 0, "minor-damage": 28, "major-damage": 10, "destroyed": 6, "unclassified": 15}, "severe_count": 16, "severe_pct": 36.36, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 36798.911, "severe_footprint_m2": 7995.5519, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.375, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 3584, "polygon_severe_count": 16, "pixel_histogram": {"0": 1035362, "1": 0, "2": 9630, "3": 2736, "4": 848, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 72.8773, "3": 20.7053, "4": 6.4174, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_palu-tsunami_00000093_1469", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a tsunami event (palu-tsunami) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 298, "minor-damage": 0, "major-damage": 65, "destroyed": 90, "unclassified": 6}, "total_buildings": 459, "classified_buildings": 453, "damaged_count": 155, "severe_count": 155, "damaged_pct": 34.22, "severe_pct": 34.22, "severe_footprint_m2": 648079.6453, "total_footprint_m2": 1931722.6825, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_palu-tsunami_00000093_1470", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "For a post-disaster tsunami scene (palu-tsunami), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q1", "severe_count": 116, "severe_footprint_m2": 521297.6865, "severe_pct_in_quadrant": 67.84, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 171, "severe_count": 116, "severe_pct": 67.84, "severe_area_m2": 521297.6865, "total_area_m2": 762312.5339, "severity_score": 0.5722, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 256, "severe_count": 16, "severe_pct": 6.25, "severe_area_m2": 68462.7735, "total_area_m2": 1085037.5268, "severity_score": 0.0548, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 32, "severe_count": 23, "severe_pct": 71.88, "severe_area_m2": 58319.1853, "total_area_m2": 84372.6218, "severity_score": 0.6775, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q1", "building_count": 171, "severe_count": 116, "severe_pct": 67.84, "severe_area_m2": 521297.6865, "total_area_m2": 762312.5339, "severity_score": 0.5722, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 32, "severe_count": 23, "severe_pct": 71.88, "severe_area_m2": 58319.1853, "total_area_m2": 84372.6218, "severity_score": 0.6775, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 256, "severe_count": 16, "severe_pct": 6.25, "severe_area_m2": 68462.7735, "total_area_m2": 1085037.5268, "severity_score": 0.0548, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_palu-tsunami_00000093_1471", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster tsunami satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G02", "severity_score": 0.934, "building_count": 20, "severe_count": 20, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 4, "destroyed": 16, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 20, "severe_count": 20, "severe_pct": 100.0, "severe_area_m2": 61996.554, "total_area_m2": 61996.554, "severity_score": 0.934, "dominant_damage": "destroyed"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 55, "severe_count": 52, "severe_pct": 94.55, "severe_area_m2": 247563.7663, "total_area_m2": 254513.5099, "severity_score": 0.8255, "dominant_damage": "destroyed"}, {"cell_id": "G31", "row": 3, "col": 1, "building_count": 32, "severe_count": 23, "severe_pct": 71.88, "severe_area_m2": 58319.1853, "total_area_m2": 84372.6218, "severity_score": 0.6775, "dominant_damage": "destroyed"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_palu-tsunami_00000093_1472", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "From the post-disaster tsunami scene (palu-tsunami), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 155, "severe_footprint_m2": 648079.6453, "major_damage_area_m2": 314450.0044, "destroyed_area_m2": 333629.6409, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_palu-tsunami_00000093_1473", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster tsunami scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 155, "max_severe_in_cell": 116, "concentration_score": 0.7484, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 116, "Q2": 23, "Q3": 16}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_palu-tsunami_00000093_1474", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000093", "split": "hold", "qa_split": "test", "disaster": "palu-tsunami", "disaster_type": "tsunami", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster tsunami scene (palu-tsunami). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "palu-tsunami", "disaster_type": "tsunami", "capture_date": "2018-10-01T02:26:02.000Z", "gsd": 2.8247435, "damage_summary": {"total_buildings": 459, "classified_buildings": 453, "counts": {"no-damage": 298, "minor-damage": 0, "major-damage": 65, "destroyed": 90, "unclassified": 6}, "severe_count": 155, "severe_pct": 34.22, "damaged_pct": 34.22}, "area_summary": {"total_footprint_m2": 1931722.6825, "severe_footprint_m2": 648079.6453, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.7484, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 86900, "polygon_severe_count": 155, "pixel_histogram": {"0": 792055, "1": 169621, "2": 0, "3": 42046, "4": 44854, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 66.1236, "2": 0.0, "3": 16.3909, "4": 17.4855, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-michael_00000370_1571", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a wind event (hurricane-michael) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 75, "minor-damage": 16, "major-damage": 6, "destroyed": 2, "unclassified": 0}, "total_buildings": 99, "classified_buildings": 99, "damaged_count": 24, "severe_count": 8, "damaged_pct": 24.24, "severe_pct": 8.08, "severe_footprint_m2": 33210.4674, "total_footprint_m2": 381038.0242, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-michael_00000370_1572", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "For a post-disaster wind scene (hurricane-michael), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q3", "severe_count": 7, "severe_footprint_m2": 31600.3033, "severe_pct_in_quadrant": 23.33, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 30, "severe_count": 7, "severe_pct": 23.33, "severe_area_m2": 31600.3033, "total_area_m2": 107828.1225, "severity_score": 0.2443, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 25, "severe_count": 1, "severe_pct": 4.0, "severe_area_m2": 1610.1641, "total_area_m2": 116512.1707, "severity_score": 0.106, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 26, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 79060.9479, "severity_score": 0.0127, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 26, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 79060.9479, "severity_score": 0.0127, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 77636.7831, "severity_score": 0.055, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 25, "severe_count": 1, "severe_pct": 4.0, "severe_area_m2": 1610.1641, "total_area_m2": 116512.1707, "severity_score": 0.106, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 30, "severe_count": 7, "severe_pct": 23.33, "severe_area_m2": 31600.3033, "total_area_m2": 107828.1225, "severity_score": 0.2443, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-michael_00000370_1573", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster wind satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G33", "severity_score": 0.467, "building_count": 10, "severe_count": 5, "class_histogram": {"no_damage": 3, "minor_damage": 2, "major_damage": 3, "destroyed": 2, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G33", "row": 3, "col": 3, "building_count": 10, "severe_count": 5, "severe_pct": 50.0, "severe_area_m2": 21535.8827, "total_area_m2": 32762.6497, "severity_score": 0.467, "dominant_damage": "no-damage"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 6, "severe_count": 2, "severe_pct": 33.33, "severe_area_m2": 10064.4206, "total_area_m2": 31253.2507, "severity_score": 0.3333, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 5349.0591, "severity_score": 0.33, "dominant_damage": "minor-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-michael_00000370_1574", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "From the post-disaster wind scene (hurricane-michael), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 8, "severe_footprint_m2": 33210.4674, "major_damage_area_m2": 32118.8175, "destroyed_area_m2": 1091.6499, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-michael_00000370_1575", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster wind scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 8, "max_severe_in_cell": 7, "concentration_score": 0.875, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 0, "Q2": 1, "Q3": 7}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-michael_00000370_1576", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster wind scene (hurricane-michael). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-michael", "disaster_type": "wind", "capture_date": "2018-10-13T16:48:15.000Z", "gsd": 2.0711906, "damage_summary": {"total_buildings": 99, "classified_buildings": 99, "counts": {"no-damage": 75, "minor-damage": 16, "major-damage": 6, "destroyed": 2, "unclassified": 0}, "severe_count": 8, "severe_pct": 8.08, "damaged_pct": 24.24}, "area_summary": {"total_footprint_m2": 381038.0242, "severe_footprint_m2": 33210.4674, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.875, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 8166, "polygon_severe_count": 8, "pixel_histogram": {"0": 953812, "1": 67770, "2": 18828, "3": 7879, "4": 287, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 71.5145, "2": 19.8683, "3": 8.3143, "4": 0.3029, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q1_hurricane-florence_00000021_1577", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "A post-disaster satellite scene from a flooding event (hurricane-florence) has been captured. Generate a complete damage inventory report including: the count of buildings per damage class, the percentage of damaged and severely damaged buildings over all classified buildings, and the total severe-damage footprint area in square metres.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "ComputeDamagePercentages", "ExportDamageReport", "Terminate"], "gt_answer": {"damage_distribution": {"no-damage": 5, "minor-damage": 2, "major-damage": 2, "destroyed": 2, "unclassified": 0}, "total_buildings": 11, "classified_buildings": 11, "damaged_count": 6, "severe_count": 4, "damaged_pct": 54.55, "severe_pct": 36.36, "severe_footprint_m2": 50231.9568, "total_footprint_m2": 130932.024, "area_method": "xy_polygon_area_times_gsd_squared", "spatial_dispersion": "highly concentrated"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "percentage_calculation"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q2_hurricane-florence_00000021_1578", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "For a post-disaster flooding scene (hurricane-florence), the 1024\u00d71024 image has been divided into four quadrants (Q0\u2013Q3). Which quadrant contains the highest severe-damage footprint area? Report the quadrant ID, the count of severely damaged buildings, and the footprint area in m\u00b2.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantDamageStats", "RankQuadrantsBySevereDamageArea", "Terminate"], "gt_answer": {"highest_severe_area_quadrant": "Q0", "severe_count": 4, "severe_footprint_m2": 50231.9568, "severe_pct_in_quadrant": 36.36, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 4, "severe_pct": 36.36, "severe_area_m2": 50231.9568, "total_area_m2": 130932.024, "severity_score": 0.3636, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 4, "severe_pct": 36.36, "severe_area_m2": 50231.9568, "total_area_m2": 130932.024, "severity_score": 0.3636, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q2", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}, {"cell_id": "Q3", "building_count": 0, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 0.0, "severity_score": 0.0, "dominant_damage": "none"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "area_computation", "ranking"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q3_hurricane-florence_00000021_1579", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "A 4\u00d74 grid has been overlaid on a post-disaster flooding satellite scene, creating 16 cells (G00\u2013G33). Each cell is scored by normalised damage severity (0=no damage, 1=fully destroyed). Which cell has the highest severity score? Report the cell ID, score, and its building class histogram.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadGrid4x4", "ComputeCellSeverityScores", "RankCellsByNormalizedSeverity", "Terminate"], "gt_answer": {"highest_severity_cell": "G11", "severity_score": 0.835, "building_count": 2, "severe_count": 2, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 1, "destroyed": 1, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 19065.7794, "total_area_m2": 19065.7794, "severity_score": 0.835, "dominant_damage": "major-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 642.3012, "total_area_m2": 26303.3086, "severity_score": 0.665, "dominant_damage": "minor-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 1, "severe_pct": 16.67, "severe_area_m2": 30523.8762, "total_area_m2": 70840.3775, "severity_score": 0.1667, "dominant_damage": "no-damage"}]}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "severity_scoring", "ranking"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q5_hurricane-florence_00000021_1580", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "From the post-disaster flooding scene (hurricane-florence), identify all buildings with severe damage (major-damage or destroyed). Report the total severe building count and their combined footprint area in m\u00b2, computed from xy polygon coordinates and the scene GSD.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "FilterSevereDamagePolygons", "ComputeSevereDamageAreaFromXYGSD", "ExportSeverePolygonGeoJSON", "Terminate"], "gt_answer": {"filter": "subtype in [major-damage, destroyed]", "polygon_source": "building_damage_xy.geojson", "severe_count": 4, "severe_footprint_m2": 50231.9568, "major_damage_area_m2": 48879.5086, "destroyed_area_m2": 1352.4482, "area_method": "xy_polygon_area_times_gsd_squared"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["filtering", "area_computation"], "difficulty": "easy", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q7_hurricane-florence_00000021_1581", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "Analyze the spatial distribution of severe building damage in this post-disaster flooding scene using a 2\u00d72 quadrant grid. Is the damage highly concentrated in one quadrant or spatially dispersed across the scene? Report the concentration score (0\u20131) and classification.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadQuadrantGrid", "ComputeQuadrantSevereCounts", "ComputeSpatialConcentrationScore", "ClassifySpatialDispersion", "Terminate"], "gt_answer": {"total_severe": 4, "max_severe_in_cell": 4, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 4, "Q1": 0, "Q2": 0, "Q3": 0}, "grid_used": "quadrant_2x2"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["spatial_localization", "concentration_scoring", "classification"], "difficulty": "medium", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q8_hurricane-florence_00000021_1582", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000021", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "mixed-severe", "question": "Create a comprehensive scene-level damage summary for this post-disaster flooding scene (hurricane-florence). Use the building damage labels, target mask class distribution, severe-damage footprint area, and spatial dispersion analysis. Include damage counts, percentages, spatial assessment, and target mask validation.", "input_layers": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadPrePostMetadata", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "LoadTargetMaskHistogram", "ValidateMaskVsPolygonCounts", "ExportSceneChangeSummary", "Terminate"], "gt_answer": {"disaster": "hurricane-florence", "disaster_type": "flooding", "capture_date": "2018-09-20T16:04:41.000Z", "gsd": 2.0916247, "damage_summary": {"total_buildings": 11, "classified_buildings": 11, "counts": {"no-damage": 5, "minor-damage": 2, "major-damage": 2, "destroyed": 2, "unclassified": 0}, "severe_count": 4, "severe_pct": 36.36, "damaged_pct": 54.55}, "area_summary": {"total_footprint_m2": 130932.024, "severe_footprint_m2": 50231.9568, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 1.0, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 11990, "polygon_severe_count": 4, "pixel_histogram": {"0": 1017330, "1": 12891, "2": 6365, "3": 11619, "4": 371, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 41.2565, "2": 20.3706, "3": 37.1856, "4": 1.1874, "5": 0.0}}}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "mask_validation", "spatial_localization", "multi_source_synthesis"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00"}
+{"query_id": "XBD_Q4_guatemala-volcano_00000004_1602", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "guatemala-volcano_00000004", "split": "hold", "qa_split": "test", "disaster": "guatemala-volcano", "disaster_type": "volcano", "damage_bucket": "mixed-severe", "question": "Two satellite scenes captured the same volcano event (guatemala-volcano). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "guatemala-volcano_00000004", "total_buildings": 20, "severe_count": 12, "severe_pct": 60.0, "severe_footprint_m2": 44392.4244}, "scene_b": {"scene_id": "guatemala-volcano_00000023", "total_buildings": 167, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "higher_severe_pct_scene": "guatemala-volcano_00000004", "higher_severe_area_scene": "guatemala-volcano_00000004"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "guatemala-volcano_00000023"}
+{"query_id": "XBD_Q4_hurricane-florence_00000339_1603", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000339", "split": "hold", "qa_split": "test", "disaster": "hurricane-florence", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "question": "Two satellite scenes captured the same flooding event (hurricane-florence). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "hurricane-florence_00000339", "total_buildings": 24, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "scene_b": {"scene_id": "hurricane-florence_00000483", "total_buildings": 13, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "higher_severe_pct_scene": "hurricane-florence_00000339", "higher_severe_area_scene": "hurricane-florence_00000339"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "hurricane-florence_00000483"}
+{"query_id": "XBD_Q4_hurricane-matthew_00000255_1609", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000255", "split": "hold", "qa_split": "test", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "destroyed-heavy", "question": "Two satellite scenes captured the same wind event (hurricane-matthew). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "hurricane-matthew_00000255", "total_buildings": 21, "severe_count": 15, "severe_pct": 71.43, "severe_footprint_m2": 4826.6022}, "scene_b": {"scene_id": "hurricane-matthew_00000247", "total_buildings": 59, "severe_count": 16, "severe_pct": 36.36, "severe_footprint_m2": 7995.5519}, "higher_severe_pct_scene": "hurricane-matthew_00000255", "higher_severe_area_scene": "hurricane-matthew_00000247"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "hurricane-matthew_00000247"}
+{"query_id": "XBD_Q4_hurricane-michael_00000370_1614", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000370", "split": "hold", "qa_split": "test", "disaster": "hurricane-michael", "disaster_type": "wind", "damage_bucket": "mixed-severe", "question": "Two satellite scenes captured the same wind event (hurricane-michael). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "hurricane-michael_00000370", "total_buildings": 99, "severe_count": 8, "severe_pct": 8.08, "severe_footprint_m2": 33210.4674}, "scene_b": {"scene_id": "hurricane-michael_00000157", "total_buildings": 34, "severe_count": 5, "severe_pct": 14.71, "severe_footprint_m2": 178982.3323}, "higher_severe_pct_scene": "hurricane-michael_00000157", "higher_severe_area_scene": "hurricane-michael_00000157"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "hurricane-michael_00000157"}
+{"query_id": "XBD_Q4_santa-rosa-wildfire_00000282_1643", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000282", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Two satellite scenes captured the same fire event (santa-rosa-wildfire). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "santa-rosa-wildfire_00000282", "total_buildings": 11, "severe_count": 10, "severe_pct": 90.91, "severe_footprint_m2": 28540.4023}, "scene_b": {"scene_id": "santa-rosa-wildfire_00000078", "total_buildings": 12, "severe_count": 7, "severe_pct": 58.33, "severe_footprint_m2": 25336.4472}, "higher_severe_pct_scene": "santa-rosa-wildfire_00000282", "higher_severe_area_scene": "santa-rosa-wildfire_00000282"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "santa-rosa-wildfire_00000078"}
+{"query_id": "XBD_Q4_santa-rosa-wildfire_00000157_1644", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000157", "split": "hold", "qa_split": "test", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "destroyed-heavy", "question": "Two satellite scenes captured the same fire event (santa-rosa-wildfire). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "santa-rosa-wildfire_00000157", "total_buildings": 271, "severe_count": 271, "severe_pct": 100.0, "severe_footprint_m2": 954478.6042}, "scene_b": {"scene_id": "santa-rosa-wildfire_00000066", "total_buildings": 160, "severe_count": 9, "severe_pct": 5.62, "severe_footprint_m2": 27621.6143}, "higher_severe_pct_scene": "santa-rosa-wildfire_00000157", "higher_severe_area_scene": "santa-rosa-wildfire_00000157"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "santa-rosa-wildfire_00000066"}
+{"query_id": "XBD_Q4_socal-fire_00000011_1646", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "socal-fire_00000011", "split": "hold", "qa_split": "test", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "question": "Two satellite scenes captured the same fire event (socal-fire). Compare their severe-damage ratio and severe-damage footprint area. Which scene shows greater structural destruction?", "input_layers": {"scene_a": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}, "scene_b": {"pre_image": "pre.png", "post_image": "post.png", "post_target_mask": "post_target.png", "damage_polygons_xy": "building_damage_xy.geojson", "damage_polygons_geo": "building_damage_lnglat.geojson", "quadrants": "quadrants.geojson", "grid_4x4": "grid_4x4.geojson"}}, "gt_tool_chain": ["LoadXBDScene", "LoadDamagePolygons", "ValidateGSD", "LoadSecondScene", "CountDamageDistribution", "ComputeSevereDamageAreaFromXYGSD", "CompareScenesTableOutput", "Terminate"], "gt_answer": {"scene_a": {"scene_id": "socal-fire_00000011", "total_buildings": 62, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "scene_b": {"scene_id": "socal-fire_00001252", "total_buildings": 83, "severe_count": 19, "severe_pct": 24.36, "severe_footprint_m2": 234396.9494}, "higher_severe_pct_scene": "socal-fire_00001252", "higher_severe_area_scene": "socal-fire_00001252"}, "gt_type": "direct_xbd_labels_plus_deterministic_geometry", "required_reasoning": ["counting", "area_computation", "cross_scene_comparison"], "difficulty": "hard", "pipeline_version": "v1", "created_at": "2026-05-13T20:40:43.830608+00:00", "scene_id_b": "socal-fire_00001252"}