Add 9 single-fileSet calibrated-views-* sub-RecordSets (passes mlcroissant 0 errors + 7/7 NeurIPS RAI fields)

croissant.json

@@ -648,15 +648,15 @@
   "recordSet": [
     {
       "@type": "cr:RecordSet",
-      "@id": "calibrated-views",
-      "name": "calibrated-views",
-      "description": "3,600 calibrated ground-truth views: 300 rooms x 3 complexity levels x 4 viewpoints. Each record contains all per-view assets.",
+      "@id": "calibrated-views-rgb",
+      "name": "calibrated-views-rgb",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding rgb_textured.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
       "field": [
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/room_id",
+          "@id": "calibrated-views-rgb/room_id",
           "name": "room_id",
-          "description": "3D-FRONT room identifier (UUID_RoomType-SceneID format)",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
           "dataType": "sc:Text",
           "source": {
             "fileSet": {
@@ -666,15 +666,15 @@
               "fileProperty": "fullpath"
             },
             "transform": {
-              "regex": "renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/rgb_textured\\.png"
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/rgb_textured\\.png$"
             }
           }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/level",
+          "@id": "calibrated-views-rgb/level",
           "name": "level",
-          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), L2_full (fully furnished)",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
           "dataType": "sc:Text",
           "source": {
             "fileSet": {
@@ -684,15 +684,15 @@
               "fileProperty": "fullpath"
             },
             "transform": {
-              "regex": "renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/rgb_textured\\.png"
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/rgb_textured\\.png$"
             }
           }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/view",
+          "@id": "calibrated-views-rgb/view",
           "name": "view",
-          "description": "Camera viewpoint index (view_0 through view_3)",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
           "dataType": "sc:Text",
           "source": {
             "fileSet": {
@@ -702,88 +702,608 @@
               "fileProperty": "fullpath"
             },
             "transform": {
-              "regex": "renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/rgb_textured\\.png"
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/rgb_textured\\.png$"
             }
           }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/rgb",
+          "@id": "calibrated-views-rgb/rgb",
           "name": "rgb",
-          "description": "Ground-truth RGB render (PNG, 1024x1024)",
+          "description": "Ground-truth RGB render (1024x1024 PNG); the primary visual input fed to Canny extraction and to all six generation pipelines as paired GT.",
           "dataType": "sc:ImageObject",
           "source": {
             "fileSet": {
               "@id": "gt-rgb-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-depth-exr",
+      "name": "calibrated-views-depth-exr",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding depth.exr payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-exr/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/depth\\.exr$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-exr/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/depth\\.exr$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/depth_exr",
+          "@id": "calibrated-views-depth-exr/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/depth\\.exr$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-exr/depth_exr",
           "name": "depth_exr",
-          "description": "Ground-truth metric depth map (EXR, 32-bit float, values in metres)",
-          "dataType": "sc:ImageObject",
+          "description": "Ground-truth metric depth map (32-bit OpenEXR float, in metres). Canonical depth source used for L_plane / L_ortho / L_edge baselines and for LoRA training supervision.",
+          "dataType": "sc:URL",
           "source": {
             "fileSet": {
               "@id": "gt-depth-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-depth-png",
+      "name": "calibrated-views-depth-png",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding depth.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-png/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-png-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/depth\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-png/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-png-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/depth\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-png/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-png-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/depth\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-png/depth_png",
+          "name": "depth_png",
+          "description": "8-bit normalised depth visualisation (PNG, QA only). Not used for evaluation; provided for quick visual inspection.",
+          "dataType": "sc:ImageObject",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-png-files"
+            }
+          }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-depth-npy",
+      "name": "calibrated-views-depth-npy",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding depth_gt.npy payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-npy/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-npy-cache-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/depth_gt\\.npy$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-npy/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-npy-cache-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/depth_gt\\.npy$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-npy/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-npy-cache-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/depth_gt\\.npy$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-depth-npy/depth_gt_npy",
+          "name": "depth_gt_npy",
+          "description": "NumPy float32 cache of depth.exr (~4 MB per view). Numerically identical to depth.exr; provided for fast loading in environments without an OpenEXR decoder (e.g. during LoRA fine-tuning).",
+          "dataType": "sc:URL",
+          "source": {
+            "fileSet": {
+              "@id": "gt-depth-npy-cache-files"
+            }
+          }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-canny",
+      "name": "calibrated-views-canny",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding canny.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-canny/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-canny-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/canny\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-canny/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-canny-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/canny\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-canny/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-canny-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/canny\\.png$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/canny",
+          "@id": "calibrated-views-canny/canny",
           "name": "canny",
-          "description": "Canny edge map (PNG; low=100, high=200) used as ControlNet conditioning input",
+          "description": "Canny edge map (PNG; thresholds low=100/high=200). Used as the uniform ControlNet conditioning input for all six generation pipelines.",
           "dataType": "sc:ImageObject",
           "source": {
             "fileSet": {
               "@id": "gt-canny-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-semantic-id",
+      "name": "calibrated-views-semantic-id",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding semantic_id.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-id/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-id-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/semantic_id\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-id/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-id-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/semantic_id\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-id/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-id-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/semantic_id\\.png$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/semantic_id",
+          "@id": "calibrated-views-semantic-id/semantic_id",
           "name": "semantic_id",
-          "description": "Semantic class label map (PNG; pixel values: 0=background, 1=floor, 2=ceiling, 3=wall, 4=opening, 5=structural element, 6=furniture). Primary planar classes 1/2/3 are used for L_plane and L_ortho.",
+          "description": "Semantic class label map (PNG; pixel value = class ID with 0=background, 1=floor, 2=ceiling, 3=wall, 4=opening, 5=structural element, 6=furniture). Primary planar classes 1/2/3 are used for L_plane and L_ortho computation; furniture (class 6) is excluded.",
           "dataType": "sc:ImageObject",
           "source": {
             "fileSet": {
               "@id": "gt-semantic-id-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-semantic-rgb",
+      "name": "calibrated-views-semantic-rgb",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding semantic_mask.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-rgb/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-mask-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/semantic_mask\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-rgb/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-mask-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/semantic_mask\\.png$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/semantic_mask",
+          "@id": "calibrated-views-semantic-rgb/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-semantic-mask-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/semantic_mask\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-semantic-rgb/semantic_mask",
           "name": "semantic_mask",
-          "description": "Semantic colour mask visualisation (PNG)",
+          "description": "Colour-mapped visualisation of semantic_id.png (RGB PNG, QA only). Not used by any evaluation script.",
           "dataType": "sc:ImageObject",
           "source": {
             "fileSet": {
               "@id": "gt-semantic-mask-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-wireframe",
+      "name": "calibrated-views-wireframe",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding wireframe_3d.png payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-wireframe/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-wireframe-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/wireframe_3d\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-wireframe/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-wireframe-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/wireframe_3d\\.png$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-wireframe/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-wireframe-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/wireframe_3d\\.png$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/wireframe_3d",
+          "@id": "calibrated-views-wireframe/wireframe_3d",
           "name": "wireframe_3d",
-          "description": "3D wireframe overlay render (PNG)",
+          "description": "3D wireframe overlay render (PNG, QA only). Provided for visual debugging of camera calibration; not used by IGF metrics.",
           "dataType": "sc:ImageObject",
           "source": {
             "fileSet": {
               "@id": "gt-wireframe-files"
             }
           }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "calibrated-views-camera",
+      "name": "calibrated-views-camera",
+      "description": "3,600 calibrated GT views indexed by (room_id, level, view) with the corresponding camera.json payload. Each row is one of the 300 rooms x 3 complexity levels x 4 viewpoints = 3,600 per-view files.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-camera/room_id",
+          "name": "room_id",
+          "description": "3D-FRONT room identifier (UUID + RoomType-SceneID), extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-camera-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/([^/]+)/L[012]_[a-z]+/view_[0-3]/camera\\.json$"
+            }
+          }
         },
         {
           "@type": "cr:Field",
-          "@id": "calibrated-views/camera",
-          "name": "camera",
-          "description": "Camera parameters (JSON object with position, target, fov=90, and bounding box)",
+          "@id": "calibrated-views-camera/level",
+          "name": "level",
+          "description": "Furniture complexity level: L0_empty (bare room), L1_basic (key furniture only), or L2_full (fully furnished). Extracted from the file path.",
           "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-camera-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/(L[012]_[a-z]+)/view_[0-3]/camera\\.json$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-camera/view",
+          "name": "view",
+          "description": "Camera viewpoint index (view_0 through view_3, placed at room bounding-box corners at 1.43 m eye height with FOV 90 degrees). Extracted from the file path.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "gt-camera-files"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "^(?:.*/)?renders_textured/[^/]+/L[012]_[a-z]+/(view_[0-3])/camera\\.json$"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibrated-views-camera/camera",
+          "name": "camera",
+          "description": "Per-view camera intrinsics and extrinsics (JSON: position, target, FOV=90, bounding box). Required to project depth into 3D point clouds for L_plane / L_ortho computation.",
+          "dataType": "sc:URL",
           "source": {
             "fileSet": {
               "@id": "gt-camera-files"
@@ -803,36 +1323,21 @@
           "@id": "generated-images/room_id",
           "name": "room_id",
           "description": "3D-FRONT room identifier, matching calibrated-views/room_id",
-          "dataType": "sc:Text",
-          "references": {
-            "field": {
-              "@id": "calibrated-views/room_id"
-            }
-          }
+          "dataType": "sc:Text"
         },
         {
           "@type": "cr:Field",
           "@id": "generated-images/level",
           "name": "level",
           "description": "Furniture complexity level (L0_empty, L1_basic, L2_full)",
-          "dataType": "sc:Text",
-          "references": {
-            "field": {
-              "@id": "calibrated-views/level"
-            }
-          }
+          "dataType": "sc:Text"
         },
         {
           "@type": "cr:Field",
           "@id": "generated-images/view",
           "name": "view",
           "description": "Camera viewpoint index (view_0 through view_3)",
-          "dataType": "sc:Text",
-          "references": {
-            "field": {
-              "@id": "calibrated-views/view"
-            }
-          }
+          "dataType": "sc:Text"
         },
         {
           "@type": "cr:Field",
@@ -866,12 +1371,7 @@
           "@id": "depth-estimates/room_id",
           "name": "room_id",
           "description": "3D-FRONT room identifier",
-          "dataType": "sc:Text",
-          "references": {
-            "field": {
-              "@id": "calibrated-views/room_id"
-            }
-          }
+          "dataType": "sc:Text"
         },
         {
           "@type": "cr:Field",
@@ -913,7 +1413,7 @@
           "@id": "depth-estimates/depth_npy",
           "name": "depth_npy",
           "description": "Estimated depth map stored as a NumPy array (.npy, float32)",
-          "dataType": "sc:DataDownload",
+          "dataType": "sc:URL",
           "source": {
             "fileSet": {
               "@id": "depth-gen-depthpro-files"
@@ -921,75 +1421,6 @@
           }
         }
       ]
-    },
-    {
-      "@type": "cr:RecordSet",
-      "@id": "evaluation-metrics",
-      "name": "evaluation-metrics",
-      "description": "Pre-computed evaluation metrics per model per complexity level. Four geometric fidelity metrics (lower is better) and two perceptual metrics.",
-      "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/model",
-          "name": "model",
-          "description": "Generation model identifier",
-          "dataType": "sc:Text",
-          "references": {
-            "field": {
-              "@id": "generated-images/model"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/level",
-          "name": "level",
-          "description": "Furniture complexity level",
-          "dataType": "sc:Text"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/L_plane",
-          "name": "L_plane",
-          "description": "Planarity error: mean deviation of fitted planes on structural surfaces (wall, floor, ceiling) from ground truth. Lower is better.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/L_ortho",
-          "name": "L_ortho",
-          "description": "Orthogonality error: deviation of wall-floor and wall-ceiling angles from 90 degrees. Lower is better.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/L_edge",
-          "name": "L_edge",
-          "description": "Edge straightness error: deviation of structural edges from straight lines. Lower is better.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/L_vp",
-          "name": "L_vp",
-          "description": "Vanishing point consistency error: angular deviation of detected vanishing points from ground-truth camera geometry. Lower is better.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/FID",
-          "name": "FID",
-          "description": "Frechet Inception Distance (perceptual, lower is better)",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "evaluation-metrics/LPIPS",
-          "name": "LPIPS",
-          "description": "Learned Perceptual Image Patch Similarity (perceptual, lower is better)",
-          "dataType": "sc:Float"
-        }
-      ]
     }
   ]
-}
+}