Update Croissant: pass NeurIPS validator (sha256, drop unfilled FileObjects, add rai:hasSyntheticData)

croissant.json

@@ -7,19 +7,10 @@
     "conformsTo": "dct:conformsTo",
     "cr": "http://mlcommons.org/croissant/",
     "rai": "http://mlcommons.org/croissant/RAI/",
-    "data": {
-      "@id": "cr:data",
-      "@type": "@json"
-    },
-    "dataType": {
-      "@id": "cr:dataType",
-      "@type": "@vocab"
-    },
+    "data": {"@id": "cr:data", "@type": "@json"},
+    "dataType": {"@id": "cr:dataType", "@type": "@vocab"},
     "dct": "http://purl.org/dc/terms/",
-    "examples": {
-      "@id": "cr:examples",
-      "@type": "@json"
-    },
+    "examples": {"@id": "cr:examples", "@type": "@json"},
     "extract": "cr:extract",
     "field": "cr:field",
     "fileProperty": "cr:fileProperty",
@@ -47,7 +38,7 @@
   "@type": "sc:Dataset",
   "name": "cross-scenario-physics-code-transfer",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
-  "description": "A cross-scenario physics-transfer benchmark for stress-testing whether within-scenario compositionality metrics on frozen video features predict cross-scenario physical-property transfer. Contains four Kubric physics scenarios (collision, ramp, flat-drop, elasticity) totalling 1,800 scenes plus a 75-scene matched-visual low-gravity collision variant; pre-extracted frozen features for eight video and image backbones (V-JEPA 2, V-JEPA 2.1, DINOv2-S/L, CLIP ViT-L/14, MAE, SigLIP, VideoMAE); ground-truth per-object tracks; and N-shot adaptation protocols with explicit task/label mappings. Real-video evaluation uses the public Phys101 dataset; we redistribute only feature tensors extracted from it. Designed to evaluate whether high TopSim, PosDis, and causal-specificity bottleneck codes generalise across scenarios; the headline negative result is that they do not in the tested bottleneck protocol family.",
+  "description": "A cross-scenario physics-transfer benchmark for stress-testing whether within-scenario compositionality metrics on frozen video features predict cross-scenario physical-property transfer. Contains four Kubric physics scenarios (collision, ramp, flat-drop, elasticity) totalling 1,800 scenes plus a 75-scene matched-visual low-gravity collision variant; pre-extracted frozen features for eight video and image backbones (V-JEPA 2, V-JEPA 2.1, DINOv2-S/L, CLIP ViT-L/14, MAE, SigLIP, VideoMAE); ground-truth per-object tracks; and N-shot adaptation protocols with explicit task/label mappings. Real-video evaluation uses the public Phys101 dataset; we redistribute only feature tensors extracted from it. The headline empirical finding is that high TopSim, PosDis, and causal-specificity bottleneck codes do not generalise across scenarios in the tested bottleneck protocol family. This Hugging Face repository hosts the load-bearing reviewer-inspectable subset (V-JEPA 2 collision features, all four Kubric scenario label files, full reproduction code); the remaining backbone features, scenario videos, GT tracks, and Phys101 features are prepared for an immediate post-acceptance public release.",
   "url": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer",
   "version": "1.0.0",
   "license": "https://www.apache.org/licenses/LICENSE-2.0",
@@ -89,116 +80,68 @@
   "rai:dataSocialImpact": "The benchmark is intended to help researchers more honestly evaluate physics-representation methods and reduce overclaiming of compositionality from within-scenario metrics. We see no immediate negative societal impacts. The released features are derived from frozen public foundation models on synthetic and openly-licensed real-video sources; no personally identifiable information is present.",
   "rai:dataBiases": "All scenes are simulator-generated and contain no human subjects, places, or demographic information. Phys101 is a publicly released physics dataset with no personally identifiable content; we redistribute only V-JEPA 2 features extracted from it.",
   "rai:personalSensitiveInformation": "None. The dataset contains no personally identifiable information.",
-  "rai:dataReleaseMaintenancePlan": "The benchmark is hosted on Hugging Face. Updates (additional backbones, additional scenarios, additional pre-extracted features) will follow semantic versioning; current release is v1.0.0. Issues and pull requests are tracked at the (anonymous) Hugging Face dataset repository.",
+  "rai:dataReleaseMaintenancePlan": "The benchmark is hosted on Hugging Face. Updates (additional backbones, additional scenarios, additional pre-extracted features) will follow semantic versioning; current release is v1.0.0. Issues and pull requests are tracked at the Hugging Face dataset repository.",
+  "rai:hasSyntheticData": true,
   "distribution": [
     {
       "@type": "cr:FileObject",
-      "@id": "kubric-collision-features-vjepa2",
+      "@id": "vjepa2-collision-features",
       "name": "vjepa2_collision_pooled.pt",
-      "description": "V-JEPA 2 frozen features for the 600 collision scenes, mean-pooled to (N=600, T=4, D=1024).",
+      "description": "V-JEPA 2 frozen features for the 600 collision scenes, mean-pooled to shape (N=600, T=4, D=1024), float32. Loaded with torch.load.",
       "encodingFormat": "application/octet-stream",
+      "contentSize": "29604716 B",
+      "sha256": "2bee296d965bf6a7d8e47c196575aff422e78788136957d7bc272ea647fb5fc2",
       "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/features/vjepa2_collision_pooled.pt"
     },
-    {
-      "@type": "cr:FileObject",
-      "@id": "kubric-ramp-features-vjepa2",
-      "name": "vjepa2_ramp_pooled.pt",
-      "description": "V-JEPA 2 frozen features for the 300 ramp scenes.",
-      "encodingFormat": "application/octet-stream",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/features/vjepa2_ramp_pooled.pt"
-    },
-    {
-      "@type": "cr:FileObject",
-      "@id": "kubric-flatdrop-features-vjepa2",
-      "name": "vjepa2_flat_drop_pooled.pt",
-      "description": "V-JEPA 2 frozen features for the 300 flat-drop scenes.",
-      "encodingFormat": "application/octet-stream",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/features/vjepa2_flat_drop_pooled.pt"
-    },
-    {
-      "@type": "cr:FileObject",
-      "@id": "kubric-elasticity-features-vjepa2",
-      "name": "vjepa2_elasticity_pooled.pt",
-      "description": "V-JEPA 2 frozen features for the 600 elasticity scenes.",
-      "encodingFormat": "application/octet-stream",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/features/vjepa2_elasticity_pooled.pt"
-    },
     {
       "@type": "cr:FileObject",
       "@id": "labels-collision",
       "name": "labels_collision.npz",
-      "description": "Ground-truth physics labels for the 600 collision scenes: per-scene mass scalars, restitution scalars, mass quantile bins (3-class and 5-class), and restitution quantile bins (3-class and 5-class).",
+      "description": "Ground-truth physics labels for the 600 collision scenes: per-scene mass scalars, restitution scalars, mass quantile bins (3-class and 5-class), and restitution quantile bins (3-class and 5-class). Loaded with numpy.load.",
       "encodingFormat": "application/zip",
+      "contentSize": "75889 B",
+      "sha256": "aaa5f2940f4d7bb822e84873c2674bd2a853feefad7e4988044b2e9294eac1dc",
       "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/labels/labels_collision.npz"
     },
     {
       "@type": "cr:FileObject",
-      "@id": "low-gravity-variant",
-      "name": "low_gravity_collision_75scene.tar.gz",
-      "description": "75-scene matched-visual low-gravity (g=-3.0 m/s^2) collision variant. Same RNG seed as standard collision so per-scene physics-random variables match scene-by-scene; rendered at 256x256, 48 frames at 24 fps.",
-      "encodingFormat": "application/gzip",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/scenarios/low_gravity_collision_75scene.tar.gz"
+      "@id": "labels-ramp",
+      "name": "labels_ramp.npz",
+      "description": "Ground-truth physics labels for the 300 ramp scenes: restitution and friction scalars and bins.",
+      "encodingFormat": "application/zip",
+      "contentSize": "39858 B",
+      "sha256": "142cf1154948e3698f954326c0f7ef33a0b71ea997fd46a4181297e53341b4c6",
+      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/labels/labels_ramp.npz"
     },
     {
       "@type": "cr:FileObject",
-      "@id": "phys101-features-vjepa2",
-      "name": "phys101_vjepa2_features.tar.gz",
-      "description": "V-JEPA 2 frozen features for Phys101 spring (206 clips), ramp (1,801 clips), and fall (666 clips) subsets. Source video remains under its CC-BY license at the Phys101 project URL.",
-      "encodingFormat": "application/gzip",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/phys101/phys101_vjepa2_features.tar.gz"
+      "@id": "labels-flat-drop",
+      "name": "labels_flat_drop.npz",
+      "description": "Ground-truth physics labels for the 300 flat-drop scenes: restitution and friction scalars and bins.",
+      "encodingFormat": "application/zip",
+      "contentSize": "23854 B",
+      "sha256": "f1e1b6ad78d53cd4a9ecfc648e3f30af61727f2f6669aa429aec9ab2987a230b",
+      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/labels/labels_flat_drop.npz"
     },
     {
       "@type": "cr:FileObject",
-      "@id": "code-bundle",
-      "name": "code.tar.gz",
-      "description": "Reproduction scripts for all paper experiments. Mirrors the contents of this supplementary bundle's code/ directory.",
-      "encodingFormat": "application/gzip",
-      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/code/code.tar.gz"
-    }
-  ],
-  "recordSet": [
+      "@id": "labels-elasticity",
+      "name": "labels_elasticity.npz",
+      "description": "Ground-truth physics labels for the 600 elasticity scenes: restitution and drop-height scalars and bins.",
+      "encodingFormat": "application/zip",
+      "contentSize": "55580 B",
+      "sha256": "3e328c84a275f739ce81cbb35cf3dd4ab0550085a6674e6d65fd0321f8d43086",
+      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/labels/labels_elasticity.npz"
+    },
     {
-      "@type": "cr:RecordSet",
-      "@id": "kubric-collision-scenes",
-      "name": "kubric-collision-scenes",
-      "description": "One record per collision scene, indexing into the V-JEPA 2 (or alternative-backbone) feature tensor.",
-      "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "kubric-collision-scenes/scene-id",
-          "name": "scene_id",
-          "description": "Integer index into the (N=600) feature and label tensors.",
-          "dataType": "sc:Integer"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "kubric-collision-scenes/mass-scalar",
-          "name": "mass_scalar",
-          "description": "Mass-ratio of the two colliding spheres on a 5-point grid: 1, 2, 3, 4, 5.",
-          "dataType": "sc:Integer"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "kubric-collision-scenes/restitution-scalar",
-          "name": "restitution_scalar",
-          "description": "Coefficient of restitution on a 5-point grid: 0.1, 0.3, 0.5, 0.7, 0.9.",
-          "dataType": "sc:Number"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "kubric-collision-scenes/restitution-bin-3class",
-          "name": "restitution_bin_3class",
-          "description": "Restitution binned to 3 quantile classes by union over all four Kubric scenarios so the same scalar maps to the same class regardless of source/target scenario. Chance accuracy 33.3%.",
-          "dataType": "sc:Integer"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "kubric-collision-scenes/feature",
-          "name": "feature",
-          "description": "(T=4, D=1024) V-JEPA 2 frozen feature tensor for the scene; 4 evenly-spaced frames mean-pooled spatially.",
-          "dataType": "cr:Float32"
-        }
-      ]
+      "@type": "cr:FileObject",
+      "@id": "labels-ramp-3prop",
+      "name": "labels_ramp_3prop.npz",
+      "description": "3-property labels for ramp (multi-property training): joint mass + restitution + friction labels for the 300 ramp scenes.",
+      "encodingFormat": "application/zip",
+      "contentSize": "38324 B",
+      "sha256": "954eea264e382b56dcca1fa2c8c4501fb3fb8c46d485ecf596b985b662ff3a2f",
+      "contentUrl": "https://huggingface.co/datasets/physics-code-transfer-bench/cross-scenario-physics-code-transfer/resolve/main/labels/labels_ramp_3prop.npz"
     }
   ]
 }