diff --git "a/qa/xbd_val.jsonl" "b/qa/xbd_val.jsonl"
new file mode 100644--- /dev/null
+++ "b/qa/xbd_val.jsonl"
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+{"query_id": "XBD_Q1_mexico-earthquake_00000131_0013", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "mexico-earthquake_00000131", "split": "test", "qa_split": "val", "disaster": "mexico-earthquake", "disaster_type": "earthquake", "damage_bucket": "no-low-damage", "question": "A post-disaster satellite scene from a earthquake event (mexico-earthquake) 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": 360, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 360, "classified_buildings": 360, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1558193.0783, "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_mexico-earthquake_00000131_0014", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "mexico-earthquake_00000131", "split": "test", "qa_split": "val", "disaster": "mexico-earthquake", "disaster_type": "earthquake", "damage_bucket": "no-low-damage", "question": "For a post-disaster earthquake scene (mexico-earthquake), 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": 167, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 596079.8138, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 102, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 396494.3411, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 47, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 218055.4089, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 167, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 596079.8138, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 102, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 396494.3411, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 47, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 218055.4089, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 44, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 347563.5145, "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_mexico-earthquake_00000131_0015", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "mexico-earthquake_00000131", "split": "test", "qa_split": "val", "disaster": "mexico-earthquake", "disaster_type": "earthquake", "damage_bucket": "no-low-damage", "question": "A 4\u00d74 grid has been overlaid on a post-disaster earthquake 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": 54, "severe_count": 0, "class_histogram": {"no_damage": 54, "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": 54, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 196071.1248, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 32, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 122654.9786, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 36, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 139442.5543, "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_mexico-earthquake_00000131_0016", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "mexico-earthquake_00000131", "split": "test", "qa_split": "val", "disaster": "mexico-earthquake", "disaster_type": "earthquake", "damage_bucket": "no-low-damage", "question": "Create a comprehensive scene-level damage summary for this post-disaster earthquake scene (mexico-earthquake). 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": "mexico-earthquake", "disaster_type": "earthquake", "capture_date": "2017-09-20T17:46:11.000Z", "gsd": 2.6503215, "damage_summary": {"total_buildings": 360, "classified_buildings": 360, "counts": {"no-damage": 360, "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": 1558193.0783, "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": 810189, "1": 238387, "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_00000187_0021", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000187", "split": "test", "qa_split": "val", "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": 53, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 2}, "total_buildings": 55, "classified_buildings": 53, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 469435.7262, "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_00000187_0022", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000187", "split": "test", "qa_split": "val", "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": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1036.5195, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11753.9975, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 348450.6696, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1036.5195, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11753.9975, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 348450.6696, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 34, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 108194.5396, "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_00000187_0023", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000187", "split": "test", "qa_split": "val", "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": 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": 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_00000187_0024", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000187", "split": "test", "qa_split": "val", "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": 55, "classified_buildings": 53, "counts": {"no-damage": 53, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 2}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 469435.7262, "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": 937303, "1": 111273, "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_00000605_0049", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000605", "split": "test", "qa_split": "val", "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": 10, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 10, "classified_buildings": 10, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 322589.6969, "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_00000605_0050", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000605", "split": "test", "qa_split": "val", "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": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 111640.0011, "severity_score": 0.0, "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": 210949.6958, "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": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 111640.0011, "severity_score": 0.0, "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": 210949.6958, "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": 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_00000605_0051", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000605", "split": "test", "qa_split": "val", "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": 2, "severe_count": 0, "class_histogram": {"no_damage": 2, "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": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 33765.4692, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4768.8486, "severity_score": 0.0, "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": 165153.3925, "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_00000605_0052", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000605", "split": "test", "qa_split": "val", "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": 10, "classified_buildings": 10, "counts": {"no-damage": 10, "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": 322589.6969, "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": 998094, "1": 50482, "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-matthew_00000019_0089", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000019", "split": "test", "qa_split": "val", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "no-low-damage", "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": 9, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 5}, "total_buildings": 14, "classified_buildings": 9, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 18071.7204, "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_00000019_0090", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000019", "split": "test", "qa_split": "val", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "no-low-damage", "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": "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": 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": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 18071.7204, "severity_score": 0.0, "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": 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": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 18071.7204, "severity_score": 0.0, "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_hurricane-matthew_00000019_0091", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000019", "split": "test", "qa_split": "val", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "no-low-damage", "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": 0.0, "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": 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": 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-matthew_00000019_0092", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000019", "split": "test", "qa_split": "val", "disaster": "hurricane-matthew", "disaster_type": "wind", "damage_bucket": "no-low-damage", "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": 14, "classified_buildings": 9, "counts": {"no-damage": 9, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 5}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 18071.7204, "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": 1045854, "1": 2722, "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_midwest-flooding_00000256_0093", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000256", "split": "test", "qa_split": "val", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "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": 183, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 4}, "total_buildings": 187, "classified_buildings": 183, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 123358.8155, "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_00000256_0094", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000256", "split": "test", "qa_split": "val", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "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": 21, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13140.4019, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 34, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 19654.2112, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 70, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52026.5106, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 21, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13140.4019, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 34, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 19654.2112, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 70, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52026.5106, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 62, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 38537.6918, "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_00000256_0095", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000256", "split": "test", "qa_split": "val", "disaster": "midwest-flooding", "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": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1313.3102, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 18, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 10194.1292, "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_midwest-flooding_00000256_0096", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000256", "split": "test", "qa_split": "val", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "no-low-damage", "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": 187, "classified_buildings": 183, "counts": {"no-damage": 183, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 4}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 0.0}, "area_summary": {"total_footprint_m2": 123358.8155, "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": 963545, "1": 85031, "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_santa-rosa-wildfire_00000001_0145", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000001", "split": "test", "qa_split": "val", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "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": 39, "minor-damage": 0, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 39, "classified_buildings": 39, "damaged_count": 0, "severe_count": 0, "damaged_pct": 0.0, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 344966.6439, "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_santa-rosa-wildfire_00000001_0146", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000001", "split": "test", "qa_split": "val", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "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": 0, "severe_footprint_m2": 0.0, "severe_pct_in_quadrant": 0.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 132715.225, "severity_score": 0.0, "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": 67712.8123, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 133041.6948, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 132715.225, "severity_score": 0.0, "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": 67712.8123, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 14, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 133041.6948, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11496.9118, "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_santa-rosa-wildfire_00000001_0147", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000001", "split": "test", "qa_split": "val", "disaster": "santa-rosa-wildfire", "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": 2, "severe_count": 0, "class_histogram": {"no_damage": 2, "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": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 23143.1602, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13740.4649, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8484.4828, "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_santa-rosa-wildfire_00000001_0148", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000001", "split": "test", "qa_split": "val", "disaster": "santa-rosa-wildfire", "disaster_type": "fire", "damage_bucket": "no-low-damage", "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": 39, "classified_buildings": 39, "counts": {"no-damage": 39, "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": 344966.6439, "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": 946947, "1": 101629, "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_00000483_0245", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000483", "split": "test", "qa_split": "val", "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": 10, "minor-damage": 3, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 13, "classified_buildings": 13, "damaged_count": 3, "severe_count": 0, "damaged_pct": 23.08, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 84471.8443, "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_00000483_0246", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000483", "split": "test", "qa_split": "val", "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": "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": 12295.2281, "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": 10586.5829, "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": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 12295.2281, "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": 10586.5829, "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": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 61590.0333, "severity_score": 0.2475, "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-florence_00000483_0247", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000483", "split": "test", "qa_split": "val", "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": "G33", "severity_score": 0.33, "building_count": 3, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 3, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G33", "row": 3, "col": 3, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 60967.3862, "severity_score": 0.33, "dominant_damage": "minor-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": 2767.8348, "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": 9527.3933, "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_00000483_0248", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000483", "split": "test", "qa_split": "val", "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": 13, "classified_buildings": 13, "counts": {"no-damage": 10, "minor-damage": 3, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 23.08}, "area_summary": {"total_footprint_m2": 84471.8443, "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": 1028276, "1": 5853, "2": 14447, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 28.8325, "2": 71.1675, "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_00000314_0261", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000314", "split": "test", "qa_split": "val", "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": 14, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 15, "classified_buildings": 15, "damaged_count": 1, "severe_count": 0, "damaged_pct": 6.67, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 24358.4084, "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_00000314_0262", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000314", "split": "test", "qa_split": "val", "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": "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": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4012.846, "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": 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": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 4012.846, "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": 13, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 20345.5624, "severity_score": 0.0254, "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_00000314_0263", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000314", "split": "test", "qa_split": "val", "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": "G33", "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": "G33", "row": 3, "col": 3, "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 7725.1232, "severity_score": 0.0471, "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-michael_00000314_0264", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000314", "split": "test", "qa_split": "val", "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": 15, "classified_buildings": 15, "counts": {"no-damage": 14, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 6.67}, "area_summary": {"total_footprint_m2": 24358.4084, "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": 1042296, "1": 5675, "2": 605, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 90.3662, "2": 9.6338, "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_00000173_0265", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000173", "split": "test", "qa_split": "val", "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": 104, "minor-damage": 7, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 111, "classified_buildings": 111, "damaged_count": 7, "severe_count": 0, "damaged_pct": 6.31, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 1645881.4482, "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_00000173_0266", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000173", "split": "test", "qa_split": "val", "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": 23, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 142356.9419, "severity_score": 0.1004, "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": 275498.2881, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 19, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 331436.2366, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 23, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 142356.9419, "severity_score": 0.1004, "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": 275498.2881, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 19, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 331436.2366, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 55, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 896589.9816, "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_00000173_0267", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000173", "split": "test", "qa_split": "val", "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": "G11", "severity_score": 0.2475, "building_count": 4, "severe_count": 0, "class_histogram": {"no_damage": 1, "minor_damage": 3, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G11", "row": 1, "col": 1, "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8167.557, "severity_score": 0.2475, "dominant_damage": "minor-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 52303.9228, "severity_score": 0.22, "dominant_damage": "minor-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 34848.498, "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_00000173_0268", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000173", "split": "test", "qa_split": "val", "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": 111, "classified_buildings": 111, "counts": {"no-damage": 104, "minor-damage": 7, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 6.31}, "area_summary": {"total_footprint_m2": 1645881.4482, "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": 859424, "1": 183499, "2": 5653, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.0114, "2": 2.9886, "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_00000215_0269", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000215", "split": "test", "qa_split": "val", "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": 7, "minor-damage": 5, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 12, "classified_buildings": 12, "damaged_count": 5, "severe_count": 0, "damaged_pct": 41.67, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 27353.662, "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_00000215_0270", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000215", "split": "test", "qa_split": "val", "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": "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": 11657.9192, "severity_score": 0.165, "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": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 15695.7428, "severity_score": 0.11, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 11657.9192, "severity_score": 0.165, "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": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 15695.7428, "severity_score": 0.11, "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_hurricane-florence_00000215_0271", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000215", "split": "test", "qa_split": "val", "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": "G10", "severity_score": 0.198, "building_count": 5, "severe_count": 0, "class_histogram": {"no_damage": 2, "minor_damage": 3, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G10", "row": 1, "col": 0, "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 10725.6273, "severity_score": 0.198, "dominant_damage": "minor-damage"}, {"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": 7061.8778, "severity_score": 0.165, "dominant_damage": "no-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": 6091.2581, "severity_score": 0.11, "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_00000215_0272", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000215", "split": "test", "qa_split": "val", "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": 12, "classified_buildings": 12, "counts": {"no-damage": 7, "minor-damage": 5, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 41.67}, "area_summary": {"total_footprint_m2": 27353.662, "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": 1041764, "1": 4340, "2": 2472, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 63.7111, "2": 36.2889, "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_00000370_0277", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000370", "split": "test", "qa_split": "val", "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": 13, "minor-damage": 6, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 19, "classified_buildings": 19, "damaged_count": 6, "severe_count": 0, "damaged_pct": 31.58, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 12505.9157, "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_00000370_0278", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000370", "split": "test", "qa_split": "val", "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": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 6406.1153, "severity_score": 0.066, "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": 5549.6581, "severity_score": 0.165, "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": 10, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 6406.1153, "severity_score": 0.066, "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": 5549.6581, "severity_score": 0.165, "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": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 550.1423, "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_00000370_0279", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000370", "split": "test", "qa_split": "val", "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": "G12", "severity_score": 0.198, "building_count": 5, "severe_count": 0, "class_histogram": {"no_damage": 2, "minor_damage": 3, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"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": 2276.5478, "severity_score": 0.198, "dominant_damage": "minor-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 2621.3339, "severity_score": 0.165, "dominant_damage": "no-damage"}, {"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": 4547.1171, "severity_score": 0.11, "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_00000370_0280", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000370", "split": "test", "qa_split": "val", "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": "2019-05-30T17:35:22.000Z", "gsd": 1.3587263, "damage_summary": {"total_buildings": 19, "classified_buildings": 19, "counts": {"no-damage": 13, "minor-damage": 6, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 31.58}, "area_summary": {"total_footprint_m2": 12505.9157, "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": 1041195, "1": 5668, "2": 1713, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 76.7918, "2": 23.2082, "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_00000011_0305", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000011", "split": "test", "qa_split": "val", "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": 69, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "total_buildings": 70, "classified_buildings": 70, "damaged_count": 1, "severe_count": 0, "damaged_pct": 1.43, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 268456.52, "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_00000011_0306", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000011", "split": "test", "qa_split": "val", "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": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 136707.8719, "severity_score": 0.0, "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": 29280.6666, "severity_score": 0.055, "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": 30, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 136707.8719, "severity_score": 0.0, "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": 29280.6666, "severity_score": 0.055, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 34, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 102467.9815, "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_00000011_0307", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000011", "split": "test", "qa_split": "val", "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": "G20", "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": "G20", "row": 2, "col": 0, "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 10705.4815, "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_midwest-flooding_00000011_0308", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000011", "split": "test", "qa_split": "val", "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": 70, "classified_buildings": 70, "counts": {"no-damage": 69, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 0}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 1.43}, "area_summary": {"total_footprint_m2": 268456.52, "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": 955135, "1": 91158, "2": 2283, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.5567, "2": 2.4433, "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_00000014_0317", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000014", "split": "test", "qa_split": "val", "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": 54, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 4}, "total_buildings": 59, "classified_buildings": 55, "damaged_count": 1, "severe_count": 0, "damaged_pct": 1.82, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 237023.7003, "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_00000014_0318", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000014", "split": "test", "qa_split": "val", "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": 35, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 129246.5255, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 22068.4307, "severity_score": 0.066, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8127.5207, "severity_score": 0.0, "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": 129246.5255, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 22068.4307, "severity_score": 0.066, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 8127.5207, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 77581.2234, "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_00000014_0319", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000014", "split": "test", "qa_split": "val", "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": "G02", "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": "G02", "row": 0, "col": 2, "building_count": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 14728.4287, "severity_score": 0.11, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 30201.8728, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 45316.4406, "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_midwest-flooding_00000014_0320", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000014", "split": "test", "qa_split": "val", "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": 59, "classified_buildings": 55, "counts": {"no-damage": 54, "minor-damage": 1, "major-damage": 0, "destroyed": 0, "unclassified": 4}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 1.82}, "area_summary": {"total_footprint_m2": 237023.7003, "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": 968414, "1": 78540, "2": 1622, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.9766, "2": 2.0234, "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_00000441_0397", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000441", "split": "test", "qa_split": "val", "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": 80, "minor-damage": 12, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "total_buildings": 93, "classified_buildings": 92, "damaged_count": 12, "severe_count": 0, "damaged_pct": 13.04, "severe_pct": 0.0, "severe_footprint_m2": 0.0, "total_footprint_m2": 2140833.3251, "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_00000441_0398", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000441", "split": "test", "qa_split": "val", "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": 15, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 442274.4169, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 49, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 780660.7471, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 332152.8875, "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": 442274.4169, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 49, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 780660.7471, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 332152.8875, "severity_score": 0.0, "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": 585745.2736, "severity_score": 0.1467, "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_00000441_0399", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000441", "split": "test", "qa_split": "val", "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": "G33", "severity_score": 0.33, "building_count": 8, "severe_count": 0, "class_histogram": {"no_damage": 0, "minor_damage": 8, "major_damage": 0, "destroyed": 0, "unclassified": 0}, "dominant_damage": "minor-damage", "top_k_cells": [{"cell_id": "G33", "row": 3, "col": 3, "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 86946.6465, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "G32", "row": 3, "col": 2, "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 199485.8831, "severity_score": 0.1414, "dominant_damage": "no-damage"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 256257.773, "severity_score": 0.0367, "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_00000441_0400", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000441", "split": "test", "qa_split": "val", "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": 93, "classified_buildings": 92, "counts": {"no-damage": 80, "minor-damage": 12, "major-damage": 0, "destroyed": 0, "unclassified": 1}, "severe_count": 0, "severe_pct": 0.0, "damaged_pct": 13.04}, "area_summary": {"total_footprint_m2": 2140833.3251, "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": 807013, "1": 216665, "2": 24898, "3": 0, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 89.693, "2": 10.307, "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_00000458_0479", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": 7, "major-damage": 76, "destroyed": 0, "unclassified": 0}, "total_buildings": 83, "classified_buildings": 83, "damaged_count": 83, "severe_count": 76, "damaged_pct": 100.0, "severe_pct": 91.57, "severe_footprint_m2": 726587.7235, "total_footprint_m2": 1103138.5622, "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_00000458_0480", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": 39, "severe_footprint_m2": 356505.6645, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 39, "severe_count": 39, "severe_pct": 100.0, "severe_area_m2": 356505.6645, "total_area_m2": 356505.6645, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 34, "severe_count": 34, "severe_pct": 100.0, "severe_area_m2": 323018.5733, "total_area_m2": 323018.5733, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 3, "severe_pct": 60.0, "severe_area_m2": 47063.4857, "total_area_m2": 85192.0724, "severity_score": 0.534, "dominant_damage": "major-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 5, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 338422.252, "severity_score": 0.33, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 39, "severe_count": 39, "severe_pct": 100.0, "severe_area_m2": 356505.6645, "total_area_m2": 356505.6645, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 3, "severe_pct": 60.0, "severe_area_m2": 47063.4857, "total_area_m2": 85192.0724, "severity_score": 0.534, "dominant_damage": "major-damage"}, {"cell_id": "Q3", "building_count": 34, "severe_count": 34, "severe_pct": 100.0, "severe_area_m2": 323018.5733, "total_area_m2": 323018.5733, "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_00000458_0481", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": "G03", "severity_score": 0.67, "building_count": 19, "severe_count": 19, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 19, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G03", "row": 0, "col": 3, "building_count": 19, "severe_count": 19, "severe_pct": 100.0, "severe_area_m2": 172753.4746, "total_area_m2": 172753.4746, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 20, "severe_count": 20, "severe_pct": 100.0, "severe_area_m2": 183752.1899, "total_area_m2": 183752.1899, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 17, "severe_count": 17, "severe_pct": 100.0, "severe_area_m2": 160883.531, "total_area_m2": 160883.531, "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_00000458_0482", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": 76, "severe_footprint_m2": 726587.7235, "major_damage_area_m2": 726587.7235, "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-harvey_00000458_0483", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": 76, "max_severe_in_cell": 39, "concentration_score": 0.5132, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 39, "Q2": 3, "Q3": 34}, "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_00000458_0484", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "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": 83, "classified_buildings": 83, "counts": {"no-damage": 0, "minor-damage": 7, "major-damage": 76, "destroyed": 0, "unclassified": 0}, "severe_count": 76, "severe_pct": 91.57, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 1103138.5622, "severe_footprint_m2": 726587.7235, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5132, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 84663, "polygon_severe_count": 76, "pixel_histogram": {"0": 921554, "1": 0, "2": 42359, "3": 84663, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 33.3478, "3": 66.6522, "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_00000429_0491", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": 27, "minor-damage": 20, "major-damage": 7, "destroyed": 2, "unclassified": 0}, "total_buildings": 56, "classified_buildings": 56, "damaged_count": 29, "severe_count": 9, "damaged_pct": 51.79, "severe_pct": 16.07, "severe_footprint_m2": 69016.5711, "total_footprint_m2": 370779.9524, "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_00000429_0492", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": "Q2", "severe_count": 6, "severe_footprint_m2": 50248.5015, "severe_pct_in_quadrant": 30.0, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 20, "severe_count": 6, "severe_pct": 30.0, "severe_area_m2": 50248.5015, "total_area_m2": 156745.4635, "severity_score": 0.3825, "dominant_damage": "minor-damage"}, {"cell_id": "Q0", "building_count": 6, "severe_count": 2, "severe_pct": 33.33, "severe_area_m2": 16508.0458, "total_area_m2": 54333.923, "severity_score": 0.2783, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 29, "severe_count": 1, "severe_pct": 3.45, "severe_area_m2": 2260.0238, "total_area_m2": 158381.0495, "severity_score": 0.1255, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 6, "severe_count": 2, "severe_pct": 33.33, "severe_area_m2": 16508.0458, "total_area_m2": 54333.923, "severity_score": 0.2783, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 29, "severe_count": 1, "severe_pct": 3.45, "severe_area_m2": 2260.0238, "total_area_m2": 158381.0495, "severity_score": 0.1255, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 20, "severe_count": 6, "severe_pct": 30.0, "severe_area_m2": 50248.5015, "total_area_m2": 156745.4635, "severity_score": 0.3825, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1319.5164, "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_00000429_0493", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": 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": 8129.7721, "total_area_m2": 8129.7721, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 6, "severe_count": 2, "severe_pct": 33.33, "severe_area_m2": 4599.6124, "total_area_m2": 41178.9106, "severity_score": 0.4983, "dominant_damage": "minor-damage"}, {"cell_id": "G21", "row": 2, "col": 1, "building_count": 5, "severe_count": 1, "severe_pct": 20.0, "severe_area_m2": 10672.4633, "total_area_m2": 36082.7967, "severity_score": 0.398, "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_00000429_0494", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": 9, "severe_footprint_m2": 69016.5711, "major_damage_area_m2": 60040.051, "destroyed_area_m2": 8976.5201, "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_00000429_0495", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": 9, "max_severe_in_cell": 6, "concentration_score": 0.6667, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 2, "Q1": 1, "Q2": 6, "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_00000429_0496", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000429", "split": "test", "qa_split": "val", "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": 56, "classified_buildings": 56, "counts": {"no-damage": 27, "minor-damage": 20, "major-damage": 7, "destroyed": 2, "unclassified": 0}, "severe_count": 9, "severe_pct": 16.07, "damaged_pct": 51.79}, "area_summary": {"total_footprint_m2": 370779.9524, "severe_footprint_m2": 69016.5711, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6667, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 16858, "polygon_severe_count": 9, "pixel_histogram": {"0": 957483, "1": 39869, "2": 34366, "3": 14653, "4": 2205, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 43.7674, "2": 37.7263, "3": 16.0858, "4": 2.4206, "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_00000464_0497", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": 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": 352276.1661, "total_footprint_m2": 352276.1661, "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-harvey_00000464_0498", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": 13, "severe_footprint_m2": 332232.2305, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 13, "severe_count": 13, "severe_pct": 100.0, "severe_area_m2": 332232.2305, "total_area_m2": 332232.2305, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 20043.9356, "total_area_m2": 20043.9356, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"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"}], "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": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 20043.9356, "total_area_m2": 20043.9356, "severity_score": 0.67, "dominant_damage": "major-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": 13, "severe_count": 13, "severe_pct": 100.0, "severe_area_m2": 332232.2305, "total_area_m2": 332232.2305, "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_00000464_0499", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": "G03", "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": "G03", "row": 0, "col": 3, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 20043.9356, "total_area_m2": 20043.9356, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 7, "severe_count": 7, "severe_pct": 100.0, "severe_area_m2": 166250.8884, "total_area_m2": 166250.8884, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G33", "row": 3, "col": 3, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 165981.3421, "total_area_m2": 165981.3421, "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_00000464_0500", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": 15, "severe_footprint_m2": 352276.1661, "major_damage_area_m2": 352276.1661, "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-harvey_00000464_0501", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": 15, "max_severe_in_cell": 13, "concentration_score": 0.8667, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 2, "Q2": 0, "Q3": 13}, "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_00000464_0502", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000464", "split": "test", "qa_split": "val", "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": 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": 352276.1661, "severe_footprint_m2": 352276.1661, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.8667, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 40067, "polygon_severe_count": 15, "pixel_histogram": {"0": 1008509, "1": 0, "2": 0, "3": 40067, "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-florence_00000448_0503", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": 35508.1419, "total_footprint_m2": 35508.1419, "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_00000448_0504", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": 10, "severe_footprint_m2": 25991.7424, "severe_pct_in_quadrant": 100.0, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 25991.7424, "total_area_m2": 25991.7424, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 9516.3995, "total_area_m2": 9516.3995, "severity_score": 0.67, "dominant_damage": "major-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": 10, "severe_count": 10, "severe_pct": 100.0, "severe_area_m2": 25991.7424, "total_area_m2": 25991.7424, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 9516.3995, "total_area_m2": 9516.3995, "severity_score": 0.67, "dominant_damage": "major-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-florence_00000448_0505", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": "G00", "severity_score": 0.67, "building_count": 6, "severe_count": 6, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 6, "destroyed": 0, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 18264.2771, "total_area_m2": 18264.2771, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 7727.4653, "total_area_m2": 7727.4653, "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": 6960.23, "total_area_m2": 6960.23, "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_00000448_0506", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": 35508.1419, "major_damage_area_m2": 35508.1419, "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_00000448_0507", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": 10, "concentration_score": 0.6667, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 10, "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-florence_00000448_0508", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-florence_00000448", "split": "test", "qa_split": "val", "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": 35508.1419, "severe_footprint_m2": 35508.1419, "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": 8736, "polygon_severe_count": 15, "pixel_histogram": {"0": 1039840, "1": 0, "2": 0, "3": 8736, "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_00000518_0521", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": 117, "minor-damage": 30, "major-damage": 4, "destroyed": 1, "unclassified": 1}, "total_buildings": 153, "classified_buildings": 152, "damaged_count": 35, "severe_count": 5, "damaged_pct": 23.03, "severe_pct": 3.29, "severe_footprint_m2": 11291.8279, "total_footprint_m2": 536707.7171, "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_00000518_0522", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": "Q1", "severe_count": 3, "severe_footprint_m2": 8561.665, "severe_pct_in_quadrant": 8.33, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 36, "severe_count": 3, "severe_pct": 8.33, "severe_area_m2": 8561.665, "total_area_m2": 107946.5857, "severity_score": 0.1475, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 43, "severe_count": 1, "severe_pct": 2.33, "severe_area_m2": 2395.5561, "total_area_m2": 93409.9505, "severity_score": 0.1384, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 37, "severe_count": 1, "severe_pct": 2.7, "severe_area_m2": 334.6068, "total_area_m2": 149094.9222, "severity_score": 0.0449, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 43, "severe_count": 1, "severe_pct": 2.33, "severe_area_m2": 2395.5561, "total_area_m2": 93409.9505, "severity_score": 0.1384, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 36, "severe_count": 3, "severe_pct": 8.33, "severe_area_m2": 8561.665, "total_area_m2": 107946.5857, "severity_score": 0.1475, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 37, "severe_count": 1, "severe_pct": 2.7, "severe_area_m2": 334.6068, "total_area_m2": 149094.9222, "severity_score": 0.0449, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 37, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 186256.2587, "severity_score": 0.0178, "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_00000518_0523", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": "G13", "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": "G13", "row": 1, "col": 3, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 2919.728, "total_area_m2": 3992.8075, "severity_score": 0.335, "dominant_damage": "no-damage"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 10, "severe_count": 1, "severe_pct": 10.0, "severe_area_m2": 5381.5924, "total_area_m2": 34650.7214, "severity_score": 0.232, "dominant_damage": "minor-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 18899.3841, "severity_score": 0.22, "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_00000518_0524", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": 5, "severe_footprint_m2": 11291.8279, "major_damage_area_m2": 10957.2211, "destroyed_area_m2": 334.6068, "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_00000518_0525", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": 5, "max_severe_in_cell": 3, "concentration_score": 0.6, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 1, "Q1": 3, "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_00000518_0526", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000518", "split": "test", "qa_split": "val", "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": 153, "classified_buildings": 152, "counts": {"no-damage": 117, "minor-damage": 30, "major-damage": 4, "destroyed": 1, "unclassified": 1}, "severe_count": 5, "severe_pct": 3.29, "damaged_pct": 23.03}, "area_summary": {"total_footprint_m2": 536707.7171, "severe_footprint_m2": 11291.8279, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 2889, "polygon_severe_count": 5, "pixel_histogram": {"0": 914352, "1": 114993, "2": 16342, "3": 2795, "4": 94, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 85.6725, "2": 12.1752, "3": 2.0823, "4": 0.07, "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_00000225_0563", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": 38, "destroyed": 0, "unclassified": 9}, "total_buildings": 47, "classified_buildings": 38, "damaged_count": 38, "severe_count": 38, "damaged_pct": 100.0, "severe_pct": 100.0, "severe_footprint_m2": 135033.4224, "total_footprint_m2": 160634.8822, "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-harvey_00000225_0564", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": "Q0", "severe_count": 27, "severe_footprint_m2": 94829.7869, "severe_pct_in_quadrant": 77.14, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 35, "severe_count": 27, "severe_pct": 77.14, "severe_area_m2": 94829.7869, "total_area_m2": 119437.8863, "severity_score": 0.5169, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 12, "severe_count": 11, "severe_pct": 91.67, "severe_area_m2": 40203.6355, "total_area_m2": 41196.9959, "severity_score": 0.6142, "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"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 35, "severe_count": 27, "severe_pct": 77.14, "severe_area_m2": 94829.7869, "total_area_m2": 119437.8863, "severity_score": 0.5169, "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": 12, "severe_count": 11, "severe_pct": 91.67, "severe_area_m2": 40203.6355, "total_area_m2": 41196.9959, "severity_score": 0.6142, "dominant_damage": "major-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_hurricane-harvey_00000225_0565", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": "G21", "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": "G21", "row": 2, "col": 1, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 4092.7526, "total_area_m2": 4092.7526, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G30", "row": 3, "col": 0, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 28594.3515, "total_area_m2": 28594.3515, "severity_score": 0.67, "dominant_damage": "major-damage"}, {"cell_id": "G10", "row": 1, "col": 0, "building_count": 18, "severe_count": 16, "severe_pct": 88.89, "severe_area_m2": 37119.2021, "total_area_m2": 40445.7708, "severity_score": 0.5956, "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_00000225_0566", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": 38, "severe_footprint_m2": 135033.4224, "major_damage_area_m2": 135033.4224, "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-harvey_00000225_0567", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": 38, "max_severe_in_cell": 27, "concentration_score": 0.7105, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 27, "Q1": 0, "Q2": 11, "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-harvey_00000225_0568", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000225", "split": "test", "qa_split": "val", "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": 47, "classified_buildings": 38, "counts": {"no-damage": 0, "minor-damage": 0, "major-damage": 38, "destroyed": 0, "unclassified": 9}, "severe_count": 38, "severe_pct": 100.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 160634.8822, "severe_footprint_m2": 135033.4224, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.7105, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 16225, "polygon_severe_count": 38, "pixel_histogram": {"0": 1032351, "1": 0, "2": 0, "3": 16225, "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_00000507_0617", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": 72, "minor-damage": 2, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "total_buildings": 75, "classified_buildings": 75, "damaged_count": 3, "severe_count": 1, "damaged_pct": 4.0, "severe_pct": 1.33, "severe_footprint_m2": 5138.0827, "total_footprint_m2": 277665.1109, "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_00000507_0618", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": "Q1", "severe_count": 1, "severe_footprint_m2": 5138.0827, "severe_pct_in_quadrant": 2.78, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 36, "severe_count": 1, "severe_pct": 2.78, "severe_area_m2": 5138.0827, "total_area_m2": 137592.3232, "severity_score": 0.0369, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 36, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 126377.5039, "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": 36, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 126377.5039, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 36, "severe_count": 1, "severe_pct": 2.78, "severe_area_m2": 5138.0827, "total_area_m2": 137592.3232, "severity_score": 0.0369, "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": 3, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 13695.2838, "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_00000507_0619", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": "G03", "severity_score": 0.0769, "building_count": 13, "severe_count": 1, "class_histogram": {"no_damage": 11, "minor_damage": 1, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G03", "row": 0, "col": 3, "building_count": 13, "severe_count": 1, "severe_pct": 7.69, "severe_area_m2": 5138.0827, "total_area_m2": 36983.7482, "severity_score": 0.0769, "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": 36272.9633, "severity_score": 0.066, "dominant_damage": "no-damage"}, {"cell_id": "G00", "row": 0, "col": 0, "building_count": 12, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 29660.5223, "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_Q5_hurricane-michael_00000507_0620", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": 5138.0827, "major_damage_area_m2": 5138.0827, "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_00000507_0621", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": 1, "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_00000507_0622", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000507", "split": "test", "qa_split": "val", "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": 75, "classified_buildings": 75, "counts": {"no-damage": 72, "minor-damage": 2, "major-damage": 1, "destroyed": 0, "unclassified": 0}, "severe_count": 1, "severe_pct": 1.33, "damaged_pct": 4.0}, "area_summary": {"total_footprint_m2": 277665.1109, "severe_footprint_m2": 5138.0827, "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": 1289, "polygon_severe_count": 1, "pixel_histogram": {"0": 979206, "1": 66743, "2": 1338, "3": 1289, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 96.2131, "2": 1.9288, "3": 1.8582, "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_00000270_0785", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": 47, "minor-damage": 12, "major-damage": 2, "destroyed": 0, "unclassified": 0}, "total_buildings": 61, "classified_buildings": 61, "damaged_count": 14, "severe_count": 2, "damaged_pct": 22.95, "severe_pct": 3.28, "severe_footprint_m2": 4984.872, "total_footprint_m2": 185778.3725, "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_00000270_0786", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": "Q1", "severe_count": 2, "severe_footprint_m2": 4984.872, "severe_pct_in_quadrant": 5.13, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 39, "severe_count": 2, "severe_pct": 5.13, "severe_area_m2": 4984.872, "total_area_m2": 98183.8158, "severity_score": 0.119, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 17, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 72272.0849, "severity_score": 0.0388, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 2640.5872, "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": 72272.0849, "severity_score": 0.0388, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 39, "severe_count": 2, "severe_pct": 5.13, "severe_area_m2": 4984.872, "total_area_m2": 98183.8158, "severity_score": 0.119, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 2640.5872, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 12681.8846, "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_00000270_0787", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": "G13", "severity_score": 0.1663, "building_count": 8, "severe_count": 1, "class_histogram": {"no_damage": 5, "minor_damage": 2, "major_damage": 1, "destroyed": 0, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G13", "row": 1, "col": 3, "building_count": 8, "severe_count": 1, "severe_pct": 12.5, "severe_area_m2": 1735.3254, "total_area_m2": 20456.8775, "severity_score": 0.1663, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 15, "severe_count": 1, "severe_pct": 6.67, "severe_area_m2": 3249.5466, "total_area_m2": 39237.6024, "severity_score": 0.1547, "dominant_damage": "no-damage"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 6, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 17273.6393, "severity_score": 0.11, "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_00000270_0788", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": 4984.872, "major_damage_area_m2": 4984.872, "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_00000270_0789", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": 2, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 2, "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_00000270_0790", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000270", "split": "test", "qa_split": "val", "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": 61, "classified_buildings": 61, "counts": {"no-damage": 47, "minor-damage": 12, "major-damage": 2, "destroyed": 0, "unclassified": 0}, "severe_count": 2, "severe_pct": 3.28, "damaged_pct": 22.95}, "area_summary": {"total_footprint_m2": 185778.3725, "severe_footprint_m2": 4984.872, "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": 1259, "polygon_severe_count": 2, "pixel_histogram": {"0": 1001883, "1": 34006, "2": 11428, "3": 1259, "4": 0, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 72.8289, "2": 24.4748, "3": 2.6963, "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_00000189_0821", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": 3, "major-damage": 4, "destroyed": 18, "unclassified": 2}, "total_buildings": 27, "classified_buildings": 25, "damaged_count": 25, "severe_count": 22, "damaged_pct": 100.0, "severe_pct": 88.0, "severe_footprint_m2": 10287.8045, "total_footprint_m2": 12309.249, "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_00000189_0822", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": "Q0", "severe_count": 8, "severe_footprint_m2": 4148.5296, "severe_pct_in_quadrant": 72.73, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 4148.5296, "total_area_m2": 5001.2234, "severity_score": 0.7573, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 6, "severe_count": 5, "severe_pct": 83.33, "severe_area_m2": 2995.8259, "total_area_m2": 3170.482, "severity_score": 0.8883, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 2112.9737, "total_area_m2": 3107.0683, "severity_score": 0.81, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 8, "severe_pct": 72.73, "severe_area_m2": 4148.5296, "total_area_m2": 5001.2234, "severity_score": 0.7573, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 6, "severe_count": 5, "severe_pct": 83.33, "severe_area_m2": 2995.8259, "total_area_m2": 3170.482, "severity_score": 0.8883, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 2112.9737, "total_area_m2": 3107.0683, "severity_score": 0.81, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 1030.4753, "total_area_m2": 1030.4753, "severity_score": 0.78, "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-matthew_00000189_0823", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": "G01", "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": "G01", "row": 0, "col": 1, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 261.0794, "total_area_m2": 261.0794, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 641.8965, "total_area_m2": 641.8965, "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": 581.7429, "total_area_m2": 581.7429, "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_hurricane-matthew_00000189_0824", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": 22, "severe_footprint_m2": 10287.8045, "major_damage_area_m2": 1864.7619, "destroyed_area_m2": 8423.0426, "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_00000189_0825", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": 22, "max_severe_in_cell": 8, "concentration_score": 0.3636, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 8, "Q1": 5, "Q2": 6, "Q3": 3}, "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_00000189_0826", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000189", "split": "test", "qa_split": "val", "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": 27, "classified_buildings": 25, "counts": {"no-damage": 0, "minor-damage": 3, "major-damage": 4, "destroyed": 18, "unclassified": 2}, "severe_count": 22, "severe_pct": 88.0, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 12309.249, "severe_footprint_m2": 10287.8045, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3636, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4566, "polygon_severe_count": 22, "pixel_histogram": {"0": 1043751, "1": 0, "2": 259, "3": 825, "4": 3741, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 5.3679, "3": 17.0984, "4": 77.5337, "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_00000204_0845", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 20, "unclassified": 0}, "total_buildings": 22, "classified_buildings": 22, "damaged_count": 20, "severe_count": 20, "damaged_pct": 90.91, "severe_pct": 90.91, "severe_footprint_m2": 75433.8285, "total_footprint_m2": 77979.5729, "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_00000204_0846", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 13, "severe_footprint_m2": 47089.7314, "severe_pct_in_quadrant": 86.67, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 15, "severe_count": 13, "severe_pct": 86.67, "severe_area_m2": 47089.7314, "total_area_m2": 49635.4758, "severity_score": 0.8667, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 12080.6536, "total_area_m2": 12080.6536, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 11528.9049, "total_area_m2": 11528.9049, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 12080.6536, "total_area_m2": 12080.6536, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 4734.5386, "total_area_m2": 4734.5386, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 15, "severe_count": 13, "severe_pct": 86.67, "severe_area_m2": 47089.7314, "total_area_m2": 49635.4758, "severity_score": 0.8667, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 11528.9049, "total_area_m2": 11528.9049, "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_00000204_0847", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 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": "G01", "row": 0, "col": 1, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 880.4066, "total_area_m2": 880.4066, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G10", "row": 1, "col": 0, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 11200.247, "total_area_m2": 11200.247, "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": 4734.5386, "total_area_m2": 4734.5386, "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_00000204_0848", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 20, "severe_footprint_m2": 75433.8285, "major_damage_area_m2": 0.0, "destroyed_area_m2": 75433.8285, "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_00000204_0849", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 20, "max_severe_in_cell": 13, "concentration_score": 0.65, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 4, "Q1": 1, "Q2": 13, "Q3": 2}, "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_00000204_0850", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000204", "split": "test", "qa_split": "val", "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": 2, "minor-damage": 0, "major-damage": 0, "destroyed": 20, "unclassified": 0}, "severe_count": 20, "severe_pct": 90.91, "damaged_pct": 90.91}, "area_summary": {"total_footprint_m2": 77979.5729, "severe_footprint_m2": 75433.8285, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.65, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 22653, "polygon_severe_count": 20, "pixel_histogram": {"0": 1025134, "1": 789, "2": 0, "3": 0, "4": 22653, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 3.3658, "2": 0.0, "3": 0.0, "4": 96.6342, "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_00001252_0887", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 58, "minor-damage": 1, "major-damage": 0, "destroyed": 19, "unclassified": 5}, "total_buildings": 83, "classified_buildings": 78, "damaged_count": 20, "severe_count": 19, "damaged_pct": 25.64, "severe_pct": 24.36, "severe_footprint_m2": 234396.9494, "total_footprint_m2": 887382.5531, "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_socal-fire_00001252_0888", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 9, "severe_footprint_m2": 130672.1263, "severe_pct_in_quadrant": 40.91, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 22, "severe_count": 9, "severe_pct": 40.91, "severe_area_m2": 130672.1263, "total_area_m2": 282275.02, "severity_score": 0.4091, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 12, "severe_count": 3, "severe_pct": 25.0, "severe_area_m2": 40975.8392, "total_area_m2": 128762.6375, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 26, "severe_count": 5, "severe_pct": 19.23, "severe_area_m2": 38468.3101, "total_area_m2": 219010.3291, "severity_score": 0.205, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 22, "severe_count": 9, "severe_pct": 40.91, "severe_area_m2": 130672.1263, "total_area_m2": 282275.02, "severity_score": 0.4091, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 12, "severe_count": 3, "severe_pct": 25.0, "severe_area_m2": 40975.8392, "total_area_m2": 128762.6375, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 23, "severe_count": 2, "severe_pct": 8.7, "severe_area_m2": 24280.6738, "total_area_m2": 257334.5665, "severity_score": 0.087, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 26, "severe_count": 5, "severe_pct": 19.23, "severe_area_m2": 38468.3101, "total_area_m2": 219010.3291, "severity_score": 0.205, "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_00001252_0889", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 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": "G11", "row": 1, "col": 1, "building_count": 6, "severe_count": 6, "severe_pct": 100.0, "severe_area_m2": 66929.5541, "total_area_m2": 66929.5541, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 4, "severe_count": 3, "severe_pct": 75.0, "severe_area_m2": 22223.0487, "total_area_m2": 37499.4321, "severity_score": 0.75, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 21795.2127, "total_area_m2": 23429.0078, "severity_score": 0.5, "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_00001252_0890", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 19, "severe_footprint_m2": 234396.9494, "major_damage_area_m2": 0.0, "destroyed_area_m2": 234396.9494, "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_00001252_0891", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 19, "max_severe_in_cell": 9, "concentration_score": 0.4737, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 9, "Q1": 3, "Q2": 2, "Q3": 5}, "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_00001252_0892", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00001252", "split": "test", "qa_split": "val", "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": 83, "classified_buildings": 78, "counts": {"no-damage": 58, "minor-damage": 1, "major-damage": 0, "destroyed": 19, "unclassified": 5}, "severe_count": 19, "severe_pct": 24.36, "damaged_pct": 25.64}, "area_summary": {"total_footprint_m2": 887382.5531, "severe_footprint_m2": 234396.9494, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.4737, "worst_quadrant": "Q0"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 37243, "polygon_severe_count": 19, "pixel_histogram": {"0": 910446, "1": 99972, "2": 915, "3": 0, "4": 37243, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 72.3753, "2": 0.6624, "3": 0.0, "4": 26.9623, "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_00000114_0905", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": 1, "minor-damage": 3, "major-damage": 2, "destroyed": 20, "unclassified": 1}, "total_buildings": 27, "classified_buildings": 26, "damaged_count": 25, "severe_count": 22, "damaged_pct": 96.15, "severe_pct": 84.62, "severe_footprint_m2": 9326.7752, "total_footprint_m2": 11938.3847, "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_00000114_0906", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": 9, "severe_footprint_m2": 4108.6803, "severe_pct_in_quadrant": 90.0, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 10, "severe_count": 9, "severe_pct": 90.0, "severe_area_m2": 4108.6803, "total_area_m2": 4672.632, "severity_score": 0.9, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 2441.6005, "total_area_m2": 2591.2805, "severity_score": 0.8571, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 1970.4583, "total_area_m2": 1970.4583, "severity_score": 0.934, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 2441.6005, "total_area_m2": 2591.2805, "severity_score": 0.8571, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 10, "severe_count": 9, "severe_pct": 90.0, "severe_area_m2": 4108.6803, "total_area_m2": 4672.632, "severity_score": 0.9, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 1970.4583, "total_area_m2": 1970.4583, "severity_score": 0.934, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 5, "severe_count": 2, "severe_pct": 40.0, "severe_area_m2": 806.0361, "total_area_m2": 2704.0139, "severity_score": 0.532, "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_00000114_0907", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": "G01", "severity_score": 1.0, "building_count": 4, "severe_count": 4, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 4, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G01", "row": 0, "col": 1, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 1622.4325, "total_area_m2": 1622.4325, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 1635.7514, "total_area_m2": 1635.7514, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G03", "row": 0, "col": 3, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 760.8916, "total_area_m2": 760.8916, "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_hurricane-matthew_00000114_0908", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": 22, "severe_footprint_m2": 9326.7752, "major_damage_area_m2": 1205.8879, "destroyed_area_m2": 8120.8873, "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_00000114_0909", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": 22, "max_severe_in_cell": 9, "concentration_score": 0.4091, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 6, "Q1": 9, "Q2": 5, "Q3": 2}, "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_00000114_0910", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000114", "split": "test", "qa_split": "val", "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": 27, "classified_buildings": 26, "counts": {"no-damage": 1, "minor-damage": 3, "major-damage": 2, "destroyed": 20, "unclassified": 1}, "severe_count": 22, "severe_pct": 84.62, "damaged_pct": 96.15}, "area_summary": {"total_footprint_m2": 11938.3847, "severe_footprint_m2": 9326.7752, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.4091, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4145, "polygon_severe_count": 22, "pixel_histogram": {"0": 1043338, "1": 301, "2": 792, "3": 506, "4": 3639, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 5.7465, "2": 15.1203, "3": 9.6602, "4": 69.4731, "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_00000431_0953", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": 37, "minor-damage": 0, "major-damage": 1, "destroyed": 5, "unclassified": 0}, "total_buildings": 43, "classified_buildings": 43, "damaged_count": 6, "severe_count": 6, "damaged_pct": 13.95, "severe_pct": 13.95, "severe_footprint_m2": 45207.6567, "total_footprint_m2": 250977.0467, "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_00000431_0954", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": "Q2", "severe_count": 5, "severe_footprint_m2": 28497.9095, "severe_pct_in_quadrant": 22.73, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 22, "severe_count": 5, "severe_pct": 22.73, "severe_area_m2": 28497.9095, "total_area_m2": 147548.9998, "severity_score": 0.2123, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 1, "severe_pct": 20.0, "severe_area_m2": 16709.7472, "total_area_m2": 37525.6098, "severity_score": 0.2, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 42701.1691, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 9, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 42701.1691, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 1, "severe_pct": 20.0, "severe_area_m2": 16709.7472, "total_area_m2": 37525.6098, "severity_score": 0.2, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 22, "severe_count": 5, "severe_pct": 22.73, "severe_area_m2": 28497.9095, "total_area_m2": 147548.9998, "severity_score": 0.2123, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 7, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 23201.268, "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_00000431_0955", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": "G30", "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": "G30", "row": 3, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2440.2233, "total_area_m2": 2440.2233, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 16709.7472, "total_area_m2": 27115.8604, "severity_score": 0.5, "dominant_damage": "no-damage"}, {"cell_id": "G20", "row": 2, "col": 0, "building_count": 12, "severe_count": 4, "severe_pct": 33.33, "severe_area_m2": 26057.6862, "total_area_m2": 82780.7319, "severity_score": 0.3058, "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_socal-fire_00000431_0956", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": 6, "severe_footprint_m2": 45207.6567, "major_damage_area_m2": 9221.5174, "destroyed_area_m2": 35986.1393, "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_00000431_0957", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": 6, "max_severe_in_cell": 5, "concentration_score": 0.8333, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 1, "Q2": 5, "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_00000431_0958", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000431", "split": "test", "qa_split": "val", "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": 43, "classified_buildings": 43, "counts": {"no-damage": 37, "minor-damage": 0, "major-damage": 1, "destroyed": 5, "unclassified": 0}, "severe_count": 6, "severe_pct": 13.95, "damaged_pct": 13.95}, "area_summary": {"total_footprint_m2": 250977.0467, "severe_footprint_m2": 45207.6567, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.8333, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 7183, "polygon_severe_count": 6, "pixel_histogram": {"0": 1008267, "1": 33126, "2": 0, "3": 1461, "4": 5722, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 82.1802, "2": 0.0, "3": 3.6245, "4": 14.1953, "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_00001267_1055", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": 10, "minor-damage": 0, "major-damage": 0, "destroyed": 4, "unclassified": 0}, "total_buildings": 14, "classified_buildings": 14, "damaged_count": 4, "severe_count": 4, "damaged_pct": 28.57, "severe_pct": 28.57, "severe_footprint_m2": 32107.0949, "total_footprint_m2": 80769.4757, "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_socal-fire_00001267_1056", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": "Q2", "severe_count": 1, "severe_footprint_m2": 22458.1293, "severe_pct_in_quadrant": 25.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 22458.1293, "total_area_m2": 32280.3218, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 2, "severe_pct": 25.0, "severe_area_m2": 6974.5661, "total_area_m2": 22173.2003, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2674.3995, "total_area_m2": 2674.3995, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 23641.5541, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 8, "severe_count": 2, "severe_pct": 25.0, "severe_area_m2": 6974.5661, "total_area_m2": 22173.2003, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 22458.1293, "total_area_m2": 32280.3218, "severity_score": 0.25, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2674.3995, "total_area_m2": 2674.3995, "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_socal-fire_00001267_1057", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": "G13", "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": "G13", "row": 1, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3317.2706, "total_area_m2": 3317.2706, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G33", "row": 3, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 2674.3995, "total_area_m2": 2674.3995, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 3657.2955, "total_area_m2": 5654.5716, "severity_score": 0.5, "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_socal-fire_00001267_1058", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": 4, "severe_footprint_m2": 32107.0949, "major_damage_area_m2": 0.0, "destroyed_area_m2": 32107.0949, "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_00001267_1059", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": 4, "max_severe_in_cell": 2, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 2, "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_socal-fire_00001267_1060", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00001267", "split": "test", "qa_split": "val", "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": 14, "classified_buildings": 14, "counts": {"no-damage": 10, "minor-damage": 0, "major-damage": 0, "destroyed": 4, "unclassified": 0}, "severe_count": 4, "severe_pct": 28.57, "damaged_pct": 28.57}, "area_summary": {"total_footprint_m2": 80769.4757, "severe_footprint_m2": 32107.0949, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 5204, "polygon_severe_count": 4, "pixel_histogram": {"0": 1035613, "1": 7759, "2": 0, "3": 0, "4": 5204, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 59.855, "2": 0.0, "3": 0.0, "4": 40.145, "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_00000066_1127", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 151, "minor-damage": 0, "major-damage": 0, "destroyed": 9, "unclassified": 0}, "total_buildings": 160, "classified_buildings": 160, "damaged_count": 9, "severe_count": 9, "damaged_pct": 5.62, "severe_pct": 5.62, "severe_footprint_m2": 27621.6143, "total_footprint_m2": 969164.4016, "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_santa-rosa-wildfire_00000066_1128", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 9, "severe_footprint_m2": 27621.6143, "severe_pct_in_quadrant": 17.65, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q0", "building_count": 51, "severe_count": 9, "severe_pct": 17.65, "severe_area_m2": 27621.6143, "total_area_m2": 234845.0922, "severity_score": 0.1765, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 38, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 186638.975, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 42, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 261185.6731, "severity_score": 0.0, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 51, "severe_count": 9, "severe_pct": 17.65, "severe_area_m2": 27621.6143, "total_area_m2": 234845.0922, "severity_score": 0.1765, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 38, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 186638.975, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 42, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 261185.6731, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 29, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 286494.6613, "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_santa-rosa-wildfire_00000066_1129", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 0.6, "building_count": 15, "severe_count": 9, "class_histogram": {"no_damage": 6, "minor_damage": 0, "major_damage": 0, "destroyed": 9, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G00", "row": 0, "col": 0, "building_count": 15, "severe_count": 9, "severe_pct": 60.0, "severe_area_m2": 27621.6143, "total_area_m2": 54375.9747, "severity_score": 0.6, "dominant_damage": "destroyed"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 16, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 55880.1042, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "G02", "row": 0, "col": 2, "building_count": 13, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 57010.5755, "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_Q5_santa-rosa-wildfire_00000066_1130", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 9, "severe_footprint_m2": 27621.6143, "major_damage_area_m2": 0.0, "destroyed_area_m2": 27621.6143, "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_00000066_1131", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 9, "max_severe_in_cell": 9, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 9, "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_santa-rosa-wildfire_00000066_1132", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "santa-rosa-wildfire_00000066", "split": "test", "qa_split": "val", "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": 160, "classified_buildings": 160, "counts": {"no-damage": 151, "minor-damage": 0, "major-damage": 0, "destroyed": 9, "unclassified": 0}, "severe_count": 9, "severe_pct": 5.62, "damaged_pct": 5.62}, "area_summary": {"total_footprint_m2": 969164.4016, "severe_footprint_m2": 27621.6143, "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": 8298, "polygon_severe_count": 9, "pixel_histogram": {"0": 760521, "1": 279757, "2": 0, "3": 0, "4": 8298, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.1193, "2": 0.0, "3": 0.0, "4": 2.8807, "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_00000202_1181", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": 8, "minor-damage": 0, "major-damage": 0, "destroyed": 13, "unclassified": 0}, "total_buildings": 21, "classified_buildings": 21, "damaged_count": 13, "severe_count": 13, "damaged_pct": 61.9, "severe_pct": 61.9, "severe_footprint_m2": 38627.1215, "total_footprint_m2": 62736.7148, "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_00000202_1182", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": "Q3", "severe_count": 10, "severe_footprint_m2": 33865.803, "severe_pct_in_quadrant": 55.56, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 18, "severe_count": 10, "severe_pct": 55.56, "severe_area_m2": 33865.803, "total_area_m2": 57975.3963, "severity_score": 0.5556, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3546.7502, "total_area_m2": 3546.7502, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 1214.5683, "total_area_m2": 1214.5683, "severity_score": 1.0, "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": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 1214.5683, "total_area_m2": 1214.5683, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 3546.7502, "total_area_m2": 3546.7502, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 18, "severe_count": 10, "severe_pct": 55.56, "severe_area_m2": 33865.803, "total_area_m2": 57975.3963, "severity_score": 0.5556, "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_socal-fire_00000202_1183", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": "G12", "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": "G12", "row": 1, "col": 2, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 682.3311, "total_area_m2": 682.3311, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 532.2372, "total_area_m2": 532.2372, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 2, "severe_count": 2, "severe_pct": 100.0, "severe_area_m2": 14776.1641, "total_area_m2": 14776.1641, "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_socal-fire_00000202_1184", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": 13, "severe_footprint_m2": 38627.1215, "major_damage_area_m2": 0.0, "destroyed_area_m2": 38627.1215, "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_00000202_1185", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": 13, "max_severe_in_cell": 10, "concentration_score": 0.7692, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 2, "Q2": 1, "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_socal-fire_00000202_1186", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00000202", "split": "test", "qa_split": "val", "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": 21, "classified_buildings": 21, "counts": {"no-damage": 8, "minor-damage": 0, "major-damage": 0, "destroyed": 13, "unclassified": 0}, "severe_count": 13, "severe_pct": 61.9, "damaged_pct": 61.9}, "area_summary": {"total_footprint_m2": 62736.7148, "severe_footprint_m2": 38627.1215, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.7692, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 6360, "polygon_severe_count": 13, "pixel_histogram": {"0": 1038262, "1": 3954, "2": 0, "3": 0, "4": 6360, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 38.3362, "2": 0.0, "3": 0.0, "4": 61.6638, "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_00001214_1271", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": 15, "minor-damage": 0, "major-damage": 1, "destroyed": 3, "unclassified": 0}, "total_buildings": 19, "classified_buildings": 19, "damaged_count": 4, "severe_count": 4, "damaged_pct": 21.05, "severe_pct": 21.05, "severe_footprint_m2": 14699.9765, "total_footprint_m2": 115537.946, "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_00001214_1272", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": "Q1", "severe_count": 4, "severe_footprint_m2": 14699.9765, "severe_pct_in_quadrant": 50.0, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 8, "severe_count": 4, "severe_pct": 50.0, "severe_area_m2": 14699.9765, "total_area_m2": 29720.8349, "severity_score": 0.4587, "dominant_damage": "no-damage"}, {"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": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 16884.544, "severity_score": 0.0, "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": 8, "severe_count": 4, "severe_pct": 50.0, "severe_area_m2": 14699.9765, "total_area_m2": 29720.8349, "severity_score": 0.4587, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 2, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 16884.544, "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": 68932.5671, "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_00001214_1273", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": "G13", "severity_score": 0.734, "building_count": 5, "severe_count": 4, "class_histogram": {"no_damage": 1, "minor_damage": 0, "major_damage": 1, "destroyed": 3, "unclassified": 0}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G13", "row": 1, "col": 3, "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 14699.9765, "total_area_m2": 16019.4901, "severity_score": 0.734, "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_socal-fire_00001214_1274", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": 4, "severe_footprint_m2": 14699.9765, "major_damage_area_m2": 6479.9582, "destroyed_area_m2": 8220.0183, "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_00001214_1275", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": 4, "max_severe_in_cell": 4, "concentration_score": 1.0, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 4, "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_socal-fire_00001214_1276", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "socal-fire_00001214", "split": "test", "qa_split": "val", "disaster": "socal-fire", "disaster_type": "fire", "damage_bucket": "mixed-severe", "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": 19, "classified_buildings": 19, "counts": {"no-damage": 15, "minor-damage": 0, "major-damage": 1, "destroyed": 3, "unclassified": 0}, "severe_count": 4, "severe_pct": 21.05, "damaged_pct": 21.05}, "area_summary": {"total_footprint_m2": 115537.946, "severe_footprint_m2": 14699.9765, "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": 2398, "polygon_severe_count": 4, "pixel_histogram": {"0": 1029909, "1": 16269, "2": 0, "3": 1036, "4": 1362, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 87.1538, "2": 0.0, "3": 5.5499, "4": 7.2963, "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_00000317_1337", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": 5, "major-damage": 5, "destroyed": 8, "unclassified": 1}, "total_buildings": 19, "classified_buildings": 18, "damaged_count": 18, "severe_count": 13, "damaged_pct": 100.0, "severe_pct": 72.22, "severe_footprint_m2": 8140.3784, "total_footprint_m2": 10362.9063, "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_00000317_1338", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": 8, "severe_footprint_m2": 5468.5407, "severe_pct_in_quadrant": 88.89, "dominant_damage": "major-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 9, "severe_count": 8, "severe_pct": 88.89, "severe_area_m2": 5468.5407, "total_area_m2": 6024.3592, "severity_score": 0.7789, "dominant_damage": "major-damage"}, {"cell_id": "Q0", "building_count": 8, "severe_count": 3, "severe_pct": 37.5, "severe_area_m2": 1888.2272, "total_area_m2": 3554.9366, "severity_score": 0.4988, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 508.8633, "total_area_m2": 508.8633, "severity_score": 1.0, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 8, "severe_count": 3, "severe_pct": 37.5, "severe_area_m2": 1888.2272, "total_area_m2": 3554.9366, "severity_score": 0.4988, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 8, "severe_pct": 88.89, "severe_area_m2": 5468.5407, "total_area_m2": 6024.3592, "severity_score": 0.7789, "dominant_damage": "major-damage"}, {"cell_id": "Q2", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 274.7472, "total_area_m2": 274.7472, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 508.8633, "total_area_m2": 508.8633, "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_hurricane-matthew_00000317_1339", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": "G20", "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": "G20", "row": 2, "col": 0, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 274.7472, "total_area_m2": 274.7472, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 508.8633, "total_area_m2": 508.8633, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 3039.0231, "total_area_m2": 3039.0231, "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_hurricane-matthew_00000317_1340", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": 13, "severe_footprint_m2": 8140.3784, "major_damage_area_m2": 2474.0329, "destroyed_area_m2": 5666.3455, "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_00000317_1341", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": 13, "max_severe_in_cell": 8, "concentration_score": 0.6154, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 3, "Q1": 8, "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_hurricane-matthew_00000317_1342", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000317", "split": "test", "qa_split": "val", "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": 19, "classified_buildings": 18, "counts": {"no-damage": 0, "minor-damage": 5, "major-damage": 5, "destroyed": 8, "unclassified": 1}, "severe_count": 13, "severe_pct": 72.22, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 10362.9063, "severe_footprint_m2": 8140.3784, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6154, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 3604, "polygon_severe_count": 13, "pixel_histogram": {"0": 1043978, "1": 0, "2": 994, "3": 1112, "4": 2492, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 21.6181, "3": 24.1844, "4": 54.1975, "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_00000150_1355", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": 8, "major-damage": 6, "destroyed": 12, "unclassified": 16}, "total_buildings": 42, "classified_buildings": 26, "damaged_count": 26, "severe_count": 18, "damaged_pct": 100.0, "severe_pct": 69.23, "severe_footprint_m2": 6481.3766, "total_footprint_m2": 14386.937, "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_00000150_1356", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": "Q3", "severe_count": 10, "severe_footprint_m2": 3292.9769, "severe_pct_in_quadrant": 71.43, "dominant_damage": "destroyed", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 14, "severe_count": 10, "severe_pct": 71.43, "severe_area_m2": 3292.9769, "total_area_m2": 3809.0981, "severity_score": 0.6671, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 3, "severe_pct": 33.33, "severe_area_m2": 1681.6632, "total_area_m2": 3397.7276, "severity_score": 0.2967, "dominant_damage": "destroyed"}, {"cell_id": "Q0", "building_count": 13, "severe_count": 4, "severe_pct": 30.77, "severe_area_m2": 1410.3366, "total_area_m2": 5549.4202, "severity_score": 0.3585, "dominant_damage": "minor-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 13, "severe_count": 4, "severe_pct": 30.77, "severe_area_m2": 1410.3366, "total_area_m2": 5549.4202, "severity_score": 0.3585, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 9, "severe_count": 3, "severe_pct": 33.33, "severe_area_m2": 1681.6632, "total_area_m2": 3397.7276, "severity_score": 0.2967, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 6, "severe_count": 1, "severe_pct": 16.67, "severe_area_m2": 96.3999, "total_area_m2": 1630.6911, "severity_score": 0.3317, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 14, "severe_count": 10, "severe_pct": 71.43, "severe_area_m2": 3292.9769, "total_area_m2": 3809.0981, "severity_score": 0.6671, "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_00000150_1357", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": "G23", "severity_score": 0.8, "building_count": 5, "severe_count": 4, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 4, "unclassified": 1}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G23", "row": 2, "col": 3, "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 1782.0859, "total_area_m2": 1851.8835, "severity_score": 0.8, "dominant_damage": "destroyed"}, {"cell_id": "G22", "row": 2, "col": 2, "building_count": 7, "severe_count": 6, "severe_pct": 85.71, "severe_area_m2": 1510.891, "total_area_m2": 1594.2863, "severity_score": 0.7629, "dominant_damage": "major-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 1, "severe_count": 1, "severe_pct": 100.0, "severe_area_m2": 440.4462, "total_area_m2": 440.4462, "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_00000150_1358", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": 18, "severe_footprint_m2": 6481.3766, "major_damage_area_m2": 2155.7287, "destroyed_area_m2": 4325.6479, "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_00000150_1359", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": 18, "max_severe_in_cell": 10, "concentration_score": 0.5556, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 4, "Q1": 3, "Q2": 1, "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-matthew_00000150_1360", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000150", "split": "test", "qa_split": "val", "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": 42, "classified_buildings": 26, "counts": {"no-damage": 0, "minor-damage": 8, "major-damage": 6, "destroyed": 12, "unclassified": 16}, "severe_count": 18, "severe_pct": 69.23, "damaged_pct": 100.0}, "area_summary": {"total_footprint_m2": 14386.937, "severe_footprint_m2": 6481.3766, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5556, "worst_quadrant": "Q3"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 2958, "polygon_severe_count": 18, "pixel_histogram": {"0": 1044192, "1": 0, "2": 1426, "3": 981, "4": 1977, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 0.0, "2": 32.5274, "3": 22.3768, "4": 45.0958, "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_00000120_1367", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": 561, "minor-damage": 0, "major-damage": 12, "destroyed": 7, "unclassified": 2}, "total_buildings": 582, "classified_buildings": 580, "damaged_count": 19, "severe_count": 19, "damaged_pct": 3.28, "severe_pct": 3.28, "severe_footprint_m2": 90203.9803, "total_footprint_m2": 3252030.1394, "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_00000120_1368", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": "Q2", "severe_count": 15, "severe_footprint_m2": 80380.1813, "severe_pct_in_quadrant": 12.5, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 120, "severe_count": 15, "severe_pct": 12.5, "severe_area_m2": 80380.1813, "total_area_m2": 575451.378, "severity_score": 0.092, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 133, "severe_count": 1, "severe_pct": 0.75, "severe_area_m2": 7581.9507, "total_area_m2": 799086.8617, "severity_score": 0.0075, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 145, "severe_count": 3, "severe_pct": 2.07, "severe_area_m2": 2241.8483, "total_area_m2": 851641.7305, "severity_score": 0.0207, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 145, "severe_count": 3, "severe_pct": 2.07, "severe_area_m2": 2241.8483, "total_area_m2": 851641.7305, "severity_score": 0.0207, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 184, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 1025850.1692, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 120, "severe_count": 15, "severe_pct": 12.5, "severe_area_m2": 80380.1813, "total_area_m2": 575451.378, "severity_score": 0.092, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 133, "severe_count": 1, "severe_pct": 0.75, "severe_area_m2": 7581.9507, "total_area_m2": 799086.8617, "severity_score": 0.0075, "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_00000120_1369", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": "G20", "severity_score": 0.4907, "building_count": 15, "severe_count": 10, "class_histogram": {"no_damage": 5, "minor_damage": 0, "major_damage": 8, "destroyed": 2, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G20", "row": 2, "col": 0, "building_count": 15, "severe_count": 10, "severe_pct": 66.67, "severe_area_m2": 48472.041, "total_area_m2": 76275.4351, "severity_score": 0.4907, "dominant_damage": "major-damage"}, {"cell_id": "G11", "row": 1, "col": 1, "building_count": 16, "severe_count": 3, "severe_pct": 18.75, "severe_area_m2": 2241.8483, "total_area_m2": 104554.3325, "severity_score": 0.1875, "dominant_damage": "no-damage"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 19, "severe_count": 1, "severe_pct": 5.26, "severe_area_m2": 7581.9507, "total_area_m2": 111648.3205, "severity_score": 0.0526, "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_00000120_1370", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": 19, "severe_footprint_m2": 90203.9803, "major_damage_area_m2": 75017.3883, "destroyed_area_m2": 15186.592, "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_00000120_1371", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": 19, "max_severe_in_cell": 15, "concentration_score": 0.7895, "assessment": "highly concentrated", "per_quadrant_severe": {"Q0": 3, "Q1": 0, "Q2": 15, "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_00000120_1372", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000120", "split": "test", "qa_split": "val", "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": 582, "classified_buildings": 580, "counts": {"no-damage": 561, "minor-damage": 0, "major-damage": 12, "destroyed": 7, "unclassified": 2}, "severe_count": 19, "severe_pct": 3.28, "damaged_pct": 3.28}, "area_summary": {"total_footprint_m2": 3252030.1394, "severe_footprint_m2": 90203.9803, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "highly concentrated", "concentration_score": 0.7895, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 12061, "polygon_severe_count": 19, "pixel_histogram": {"0": 616745, "1": 419770, "2": 0, "3": 9935, "4": 2126, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 97.207, "2": 0.0, "3": 2.3007, "4": 0.4923, "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_00000127_1409", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": 19, "minor-damage": 0, "major-damage": 2, "destroyed": 1, "unclassified": 3}, "total_buildings": 25, "classified_buildings": 22, "damaged_count": 3, "severe_count": 3, "damaged_pct": 13.64, "severe_pct": 13.64, "severe_footprint_m2": 36971.5016, "total_footprint_m2": 130017.2447, "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_palu-tsunami_00000127_1410", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": "Q2", "severe_count": 2, "severe_footprint_m2": 25798.9111, "severe_pct_in_quadrant": 22.22, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q2", "building_count": 9, "severe_count": 2, "severe_pct": 22.22, "severe_area_m2": 25798.9111, "total_area_m2": 54098.6669, "severity_score": 0.1856, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 11172.5905, "total_area_m2": 26823.5316, "severity_score": 0.1675, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 8, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 30034.7631, "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": 30034.7631, "severity_score": 0.0, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 11172.5905, "total_area_m2": 26823.5316, "severity_score": 0.1675, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 9, "severe_count": 2, "severe_pct": 22.22, "severe_area_m2": 25798.9111, "total_area_m2": 54098.6669, "severity_score": 0.1856, "dominant_damage": "no-damage"}, {"cell_id": "Q3", "building_count": 4, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 19060.2831, "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_palu-tsunami_00000127_1411", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": 0.4175, "building_count": 4, "severe_count": 2, "class_histogram": {"no_damage": 2, "minor_damage": 0, "major_damage": 1, "destroyed": 1, "unclassified": 0}, "dominant_damage": "no-damage", "top_k_cells": [{"cell_id": "G31", "row": 3, "col": 1, "building_count": 4, "severe_count": 2, "severe_pct": 50.0, "severe_area_m2": 25798.9111, "total_area_m2": 46134.4194, "severity_score": 0.4175, "dominant_damage": "no-damage"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 4, "severe_count": 1, "severe_pct": 25.0, "severe_area_m2": 11172.5905, "total_area_m2": 26823.5316, "severity_score": 0.1675, "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_Q5_palu-tsunami_00000127_1412", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": 36971.5016, "major_damage_area_m2": 30422.0116, "destroyed_area_m2": 6549.49, "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_00000127_1413", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": 2, "concentration_score": 0.6667, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 1, "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_palu-tsunami_00000127_1414", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "palu-tsunami_00000127", "split": "test", "qa_split": "val", "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": 25, "classified_buildings": 22, "counts": {"no-damage": 19, "minor-damage": 0, "major-damage": 2, "destroyed": 1, "unclassified": 3}, "severe_count": 3, "severe_pct": 13.64, "damaged_pct": 13.64}, "area_summary": {"total_footprint_m2": 130017.2447, "severe_footprint_m2": 36971.5016, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.6667, "worst_quadrant": "Q2"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4923, "polygon_severe_count": 3, "pixel_histogram": {"0": 1031427, "1": 12226, "2": 0, "3": 4065, "4": 858, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 71.2928, "2": 0.0, "3": 23.704, "4": 5.0032, "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_00000264_1433", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": 55, "major-damage": 16, "destroyed": 17, "unclassified": 5}, "total_buildings": 168, "classified_buildings": 163, "damaged_count": 88, "severe_count": 33, "damaged_pct": 53.99, "severe_pct": 20.25, "severe_footprint_m2": 235486.9358, "total_footprint_m2": 662970.733, "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-michael_00000264_1434", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": 11, "severe_footprint_m2": 179316.7421, "severe_pct_in_quadrant": 31.43, "dominant_damage": "no-damage", "top_k_quadrants": [{"cell_id": "Q1", "building_count": 35, "severe_count": 11, "severe_pct": 31.43, "severe_area_m2": 179316.7421, "total_area_m2": 255604.4831, "severity_score": 0.3237, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 69, "severe_count": 11, "severe_pct": 15.94, "severe_area_m2": 24944.8954, "total_area_m2": 166707.7322, "severity_score": 0.2646, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 31, "severe_count": 7, "severe_pct": 22.58, "severe_area_m2": 23339.7329, "total_area_m2": 149164.0211, "severity_score": 0.2577, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 33, "severe_count": 4, "severe_pct": 12.12, "severe_area_m2": 7885.5654, "total_area_m2": 91494.4966, "severity_score": 0.2512, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 35, "severe_count": 11, "severe_pct": 31.43, "severe_area_m2": 179316.7421, "total_area_m2": 255604.4831, "severity_score": 0.3237, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 69, "severe_count": 11, "severe_pct": 15.94, "severe_area_m2": 24944.8954, "total_area_m2": 166707.7322, "severity_score": 0.2646, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 31, "severe_count": 7, "severe_pct": 22.58, "severe_area_m2": 23339.7329, "total_area_m2": 149164.0211, "severity_score": 0.2577, "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_00000264_1435", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": "G13", "severity_score": 0.5017, "building_count": 6, "severe_count": 4, "class_histogram": {"no_damage": 2, "minor_damage": 0, "major_damage": 3, "destroyed": 1, "unclassified": 0}, "dominant_damage": "major-damage", "top_k_cells": [{"cell_id": "G13", "row": 1, "col": 3, "building_count": 6, "severe_count": 4, "severe_pct": 66.67, "severe_area_m2": 151931.8405, "total_area_m2": 181981.9174, "severity_score": 0.5017, "dominant_damage": "major-damage"}, {"cell_id": "G01", "row": 0, "col": 1, "building_count": 2, "severe_count": 1, "severe_pct": 50.0, "severe_area_m2": 1113.211, "total_area_m2": 13625.7689, "severity_score": 0.5, "dominant_damage": "no-damage"}, {"cell_id": "G31", "row": 3, "col": 1, "building_count": 11, "severe_count": 6, "severe_pct": 54.55, "severe_area_m2": 13750.0136, "total_area_m2": 27436.0429, "severity_score": 0.4555, "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-michael_00000264_1436", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": 33, "severe_footprint_m2": 235486.9358, "major_damage_area_m2": 210780.3691, "destroyed_area_m2": 24706.5667, "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_00000264_1437", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": 33, "max_severe_in_cell": 11, "concentration_score": 0.3333, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 4, "Q1": 11, "Q2": 11, "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_00000264_1438", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000264", "split": "test", "qa_split": "val", "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": 168, "classified_buildings": 163, "counts": {"no-damage": 75, "minor-damage": 55, "major-damage": 16, "destroyed": 17, "unclassified": 5}, "severe_count": 33, "severe_pct": 20.25, "damaged_pct": 53.99}, "area_summary": {"total_footprint_m2": 662970.733, "severe_footprint_m2": 235486.9358, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "spatially dispersed", "concentration_score": 0.3333, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 57358, "polygon_severe_count": 33, "pixel_histogram": {"0": 886198, "1": 62833, "2": 42187, "3": 50927, "4": 6431, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 38.6955, "2": 25.9807, "3": 31.3632, "4": 3.9605, "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_00000095_1517", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 37, "minor-damage": 33, "major-damage": 1, "destroyed": 3, "unclassified": 6}, "total_buildings": 80, "classified_buildings": 74, "damaged_count": 37, "severe_count": 4, "damaged_pct": 50.0, "severe_pct": 5.41, "severe_footprint_m2": 17799.871, "total_footprint_m2": 378774.9455, "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_00000095_1518", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 2, "severe_footprint_m2": 15226.2815, "severe_pct_in_quadrant": 7.69, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 26, "severe_count": 2, "severe_pct": 7.69, "severe_area_m2": 15226.2815, "total_area_m2": 179253.5233, "severity_score": 0.2165, "dominant_damage": "minor-damage"}, {"cell_id": "Q1", "building_count": 16, "severe_count": 2, "severe_pct": 12.5, "severe_area_m2": 2573.5895, "total_area_m2": 37562.759, "severity_score": 0.2075, "dominant_damage": "no-damage"}, {"cell_id": "Q0", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 69314.1124, "severity_score": 0.03, "dominant_damage": "no-damage"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 11, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 69314.1124, "severity_score": 0.03, "dominant_damage": "no-damage"}, {"cell_id": "Q1", "building_count": 16, "severe_count": 2, "severe_pct": 12.5, "severe_area_m2": 2573.5895, "total_area_m2": 37562.759, "severity_score": 0.2075, "dominant_damage": "no-damage"}, {"cell_id": "Q2", "building_count": 27, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 92644.5508, "severity_score": 0.1956, "dominant_damage": "minor-damage"}, {"cell_id": "Q3", "building_count": 26, "severe_count": 2, "severe_pct": 7.69, "severe_area_m2": 15226.2815, "total_area_m2": 179253.5233, "severity_score": 0.2165, "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_00000095_1519", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 0.3333, "building_count": 3, "severe_count": 1, "class_histogram": {"no_damage": 0, "minor_damage": 0, "major_damage": 0, "destroyed": 1, "unclassified": 2}, "dominant_damage": "destroyed", "top_k_cells": [{"cell_id": "G02", "row": 0, "col": 2, "building_count": 3, "severe_count": 1, "severe_pct": 33.33, "severe_area_m2": 1698.7729, "total_area_m2": 3216.922, "severity_score": 0.3333, "dominant_damage": "destroyed"}, {"cell_id": "G23", "row": 2, "col": 3, "building_count": 5, "severe_count": 1, "severe_pct": 20.0, "severe_area_m2": 822.7095, "total_area_m2": 33482.1784, "severity_score": 0.332, "dominant_damage": "no-damage"}, {"cell_id": "G13", "row": 1, "col": 3, "building_count": 1, "severe_count": 0, "severe_pct": 0.0, "severe_area_m2": 0.0, "total_area_m2": 943.7627, "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_00000095_1520", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 4, "severe_footprint_m2": 17799.871, "major_damage_area_m2": 14403.572, "destroyed_area_m2": 3396.299, "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_00000095_1521", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 4, "max_severe_in_cell": 2, "concentration_score": 0.5, "assessment": "moderately concentrated", "per_quadrant_severe": {"Q0": 0, "Q1": 2, "Q2": 0, "Q3": 2}, "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_00000095_1522", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-michael_00000095", "split": "test", "qa_split": "val", "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": 80, "classified_buildings": 74, "counts": {"no-damage": 37, "minor-damage": 33, "major-damage": 1, "destroyed": 3, "unclassified": 6}, "severe_count": 4, "severe_pct": 5.41, "damaged_pct": 50.0}, "area_summary": {"total_footprint_m2": 378774.9455, "severe_footprint_m2": 17799.871, "area_method": "xy_polygon_area_times_gsd_squared"}, "spatial_analysis": {"dispersion_assessment": "moderately concentrated", "concentration_score": 0.5, "worst_quadrant": "Q1"}, "mask_validation": {"mask_available": true, "mask_severe_pixels": 4371, "polygon_severe_count": 4, "pixel_histogram": {"0": 957008, "1": 46573, "2": 40624, "3": 3489, "4": 882, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 50.8617, "2": 44.3648, "3": 3.8103, "4": 0.9632, "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_00000225_1589", "template": "XBD-Q1", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": 1, "minor-damage": 5, "major-damage": 6, "destroyed": 14, "unclassified": 0}, "total_buildings": 26, "classified_buildings": 26, "damaged_count": 25, "severe_count": 20, "damaged_pct": 96.15, "severe_pct": 76.92, "severe_footprint_m2": 10233.3342, "total_footprint_m2": 13297.7536, "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_00000225_1590", "template": "XBD-Q2", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": "Q3", "severe_count": 8, "severe_footprint_m2": 4864.4357, "severe_pct_in_quadrant": 66.67, "dominant_damage": "minor-damage", "top_k_quadrants": [{"cell_id": "Q3", "building_count": 12, "severe_count": 8, "severe_pct": 66.67, "severe_area_m2": 4864.4357, "total_area_m2": 6957.7892, "severity_score": 0.6667, "dominant_damage": "minor-damage"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 2605.4377, "total_area_m2": 2605.4377, "severity_score": 0.868, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 1980.7191, "total_area_m2": 2696.7693, "severity_score": 0.866, "dominant_damage": "destroyed"}], "all_quadrants": [{"cell_id": "Q0", "building_count": 4, "severe_count": 3, "severe_pct": 75.0, "severe_area_m2": 782.7417, "total_area_m2": 1037.7574, "severity_score": 0.75, "dominant_damage": "destroyed"}, {"cell_id": "Q1", "building_count": 5, "severe_count": 4, "severe_pct": 80.0, "severe_area_m2": 1980.7191, "total_area_m2": 2696.7693, "severity_score": 0.866, "dominant_damage": "destroyed"}, {"cell_id": "Q2", "building_count": 5, "severe_count": 5, "severe_pct": 100.0, "severe_area_m2": 2605.4377, "total_area_m2": 2605.4377, "severity_score": 0.868, "dominant_damage": "destroyed"}, {"cell_id": "Q3", "building_count": 12, "severe_count": 8, "severe_pct": 66.67, "severe_area_m2": 4864.4357, "total_area_m2": 6957.7892, "severity_score": 0.6667, "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_00000225_1591", "template": "XBD-Q3", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": "G10", "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": "G10", "row": 1, "col": 0, "building_count": 3, "severe_count": 3, "severe_pct": 100.0, "severe_area_m2": 782.7417, "total_area_m2": 782.7417, "severity_score": 1.0, "dominant_damage": "destroyed"}, {"cell_id": "G12", "row": 1, "col": 2, "building_count": 4, "severe_count": 4, "severe_pct": 100.0, "severe_area_m2": 1980.7191, "total_area_m2": 1980.7191, "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": 784.8949, "total_area_m2": 784.8949, "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_hurricane-matthew_00000225_1592", "template": "XBD-Q5", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": 20, "severe_footprint_m2": 10233.3342, "major_damage_area_m2": 4239.8939, "destroyed_area_m2": 5993.4403, "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_00000225_1593", "template": "XBD-Q7", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": 20, "max_severe_in_cell": 8, "concentration_score": 0.4, "assessment": "spatially dispersed", "per_quadrant_severe": {"Q0": 3, "Q1": 4, "Q2": 5, "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_00000225_1594", "template": "XBD-Q8", "source_dataset": "xBD", "scene_id": "hurricane-matthew_00000225", "split": "test", "qa_split": "val", "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": 26, "classified_buildings": 26, "counts": {"no-damage": 1, "minor-damage": 5, "major-damage": 6, "destroyed": 14, "unclassified": 0}, "severe_count": 20, "severe_pct": 76.92, "damaged_pct": 96.15}, "area_summary": {"total_footprint_m2": 13297.7536, "severe_footprint_m2": 10233.3342, "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": 4568, "polygon_severe_count": 20, "pixel_histogram": {"0": 1042633, "1": 122, "2": 1253, "3": 1853, "4": 2715, "5": 0}, "pixel_pct_non_background": {"0": 0.0, "1": 2.0528, "2": 21.0836, "3": 31.1795, "4": 45.684, "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_hurricane-harvey_00000458_1607", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "hurricane-harvey_00000458", "split": "test", "qa_split": "val", "disaster": "hurricane-harvey", "disaster_type": "flooding", "damage_bucket": "major-heavy", "question": "Two satellite scenes captured the same flooding event (hurricane-harvey). 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-harvey_00000458", "total_buildings": 83, "severe_count": 76, "severe_pct": 91.57, "severe_footprint_m2": 726587.7235}, "scene_b": {"scene_id": "hurricane-harvey_00000403", "total_buildings": 63, "severe_count": 63, "severe_pct": 100.0, "severe_footprint_m2": 2820007.1938}, "higher_severe_pct_scene": "hurricane-harvey_00000403", "higher_severe_area_scene": "hurricane-harvey_00000403"}, "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-harvey_00000403"}
+{"query_id": "XBD_Q4_mexico-earthquake_00000131_1622", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "mexico-earthquake_00000131", "split": "test", "qa_split": "val", "disaster": "mexico-earthquake", "disaster_type": "earthquake", "damage_bucket": "no-low-damage", "question": "Two satellite scenes captured the same earthquake event (mexico-earthquake). 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": "mexico-earthquake_00000131", "total_buildings": 360, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "scene_b": {"scene_id": "mexico-earthquake_00000043", "total_buildings": 840, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "higher_severe_pct_scene": "mexico-earthquake_00000131", "higher_severe_area_scene": "mexico-earthquake_00000131"}, "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": "mexico-earthquake_00000043"}
+{"query_id": "XBD_Q4_midwest-flooding_00000370_1626", "template": "XBD-Q4", "source_dataset": "xBD", "scene_id": "midwest-flooding_00000370", "split": "test", "qa_split": "val", "disaster": "midwest-flooding", "disaster_type": "flooding", "damage_bucket": "minor-moderate", "question": "Two satellite scenes captured the same flooding event (midwest-flooding). 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": "midwest-flooding_00000370", "total_buildings": 19, "severe_count": 0, "severe_pct": 0.0, "severe_footprint_m2": 0.0}, "scene_b": {"scene_id": "midwest-flooding_00000353", "total_buildings": 12, "severe_count": 3, "severe_pct": 25.0, "severe_footprint_m2": 5330.4961}, "higher_severe_pct_scene": "midwest-flooding_00000353", "higher_severe_area_scene": "midwest-flooding_00000353"}, "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": "midwest-flooding_00000353"}