Upload anonymous SysCON3D release

README.md

@@ -0,0 +1,84 @@
+---
+pretty_name: SysCON3D
+license: other
+tags:
+- 3d
+- multiview
+- benchmark
+---
+
+# SysCON3D
+
+Portable release bundle for the SysCON3D benchmark and demo.
+
+## Contents
+
+- `mipnerf360_calibration_splits.json`: consistent-scene calibration splits.
+- `mipnerf360_impossible_splits.json`: precomputed SysCON3D benchmark samples.
+- `archives/syscon3d_mipnerf360_*.tar`: tar shards containing `mipnerf360/...` payload files.
+- `croissant.json`: manual Croissant metadata with core fields and minimal RAI fields for NeurIPS E&D submission.
+
+## Release summary
+
+- scenes: bicycle, bonsai, counter, flowers, garden, kitchen, room, stump, treehill
+- copy mode: referenced-only
+- storage mode: tar-shards
+- copied files: 5059
+- copied size (GiB): 0.606
+- archive files: 1
+
+## Notes
+
+- The manifests in this folder use `dataset_root: mipnerf360`, so they are portable across local runs and Spaces.
+- If this release uses `archives/`, extract those tar files before running tools that expect the raw `mipnerf360/` directory.
+
+## Extracting Files
+
+Extract the full payload:
+
+```bash
+mkdir -p tmp/syscon3d_release
+for shard in tmp/syscon3d_release/archives/*.tar; do
+  tar -xf "$shard" -C tmp/syscon3d_release
+done
+```
+
+List files without extracting:
+
+```bash
+tar -tf tmp/syscon3d_release/archives/syscon3d_mipnerf360_000.tar | less
+```
+
+Extract one file:
+
+```bash
+tar -xf tmp/syscon3d_release/archives/syscon3d_mipnerf360_000.tar \
+  -C tmp/syscon3d_release \
+  mipnerf360/syscon3d_scene_types/noise_gaussian/k09/noise_gaussian_k09_000/images_4/view_000.png
+```
+
+Extract one sample directory:
+
+```bash
+tar -xf tmp/syscon3d_release/archives/syscon3d_mipnerf360_000.tar \
+  -C tmp/syscon3d_release \
+  mipnerf360/syscon3d_scene_types/patched_gaussian/k09/patched_gaussian_k09_000
+```
+
+The paths in `mipnerf360_impossible_splits.json` are relative to
+`tmp/syscon3d_release/mipnerf360/` after extraction.
+
+## Croissant Metadata
+
+For NeurIPS E&D submission, use `croissant.json` as the Croissant metadata file
+to upload to OpenReview after validating it with the official Croissant
+validator. Hugging Face may also expose an auto-generated Croissant file, but
+this manual file documents the tar-sharded release layout and includes minimal
+Responsible AI fields.
+
+## License and Source Data
+
+SysCON3D is a derived benchmark bundle for research evaluation. It contains
+referenced Mip-NeRF 360 scene images plus deterministic materialized stress-test
+images. Users should follow the terms of the upstream source data and cite the
+source dataset and SysCON3D paper when using this benchmark.

archives/syscon3d_mipnerf360_000.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:78f20b3efc4b394162e20e3206a08122aa3a1d67f86a98632f7fcd3662afb06d
+size 659394560

croissant.json

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+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "sc": "https://schema.org/",
+    "cr": "http://mlcommons.org/croissant/",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "dct": "http://purl.org/dc/terms/",
+    "prov": "http://www.w3.org/ns/prov#",
+    "conformsTo": "dct:conformsTo",
+    "citeAs": "cr:citeAs",
+    "recordSet": "cr:recordSet",
+    "field": "cr:field",
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
+    "source": "cr:source",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "extract": "cr:extract",
+    "jsonPath": "cr:jsonPath",
+    "containedIn": "cr:containedIn",
+    "includes": "cr:includes"
+  },
+  "@type": "sc:Dataset",
+  "name": "SysCON3D",
+  "alternateName": [
+    "syscon3d",
+    "syscon3d-neurips26/syscon3d"
+  ],
+  "description": "SysCON3D is a deterministic benchmark bundle for stress-testing multi-view 3D reconstruction backbones and 3D consistency metrics. It contains Mip-NeRF 360 reference images, calibration split manifests, and materialized inconsistent image sets including cross-scene mixtures, one-outlier samples, identical-image samples, Gaussian noise, patched Gaussian corruptions, and small Gaussian perturbations of otherwise consistent views.",
+  "url": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d",
+  "license": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d#license-and-source-data",
+  "conformsTo": [
+    "http://mlcommons.org/croissant/1.1",
+    "http://mlcommons.org/croissant/RAI/1.0"
+  ],
+  "version": "6",
+  "citeAs": "SysCON3D anonymous NeurIPS submission, 2026.",
+  "datePublished": "2026-05-07",
+  "creator": {
+    "@type": "sc:Organization",
+    "name": "Anonymous authors"
+  },
+  "keywords": [
+    "3d reconstruction",
+    "multi-view consistency",
+    "benchmark",
+    "Mip-NeRF 360",
+    "robustness",
+    "Croissant"
+  ],
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "readme",
+      "name": "README.md",
+      "description": "Dataset card with usage, extraction, source-data, and license notes.",
+      "contentUrl": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d/resolve/main/README.md",
+      "encodingFormat": "text/markdown",
+      "contentSize": "2568",
+      "sha256": "5249a3dc6025c3efb402e85fe0a0ae78bb9bca3224dfccfb483042df1cd6598f"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "calibration_manifest",
+      "name": "mipnerf360_calibration_splits.json",
+      "description": "Consistent-scene calibration split manifest.",
+      "contentUrl": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d/resolve/main/mipnerf360_calibration_splits.json",
+      "encodingFormat": "application/json",
+      "contentSize": "11071",
+      "sha256": "a9696fbce1f3c31ecd450db06687727c95a97ff4a7f0241c50498c830f541536"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "impossible_manifest",
+      "name": "mipnerf360_impossible_splits.json",
+      "description": "SysCON3D stress-test split manifest with deterministic sample ids and image paths.",
+      "contentUrl": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d/resolve/main/mipnerf360_impossible_splits.json",
+      "encodingFormat": "application/json",
+      "contentSize": "934871",
+      "sha256": "926d7b6eecbbcc5116d5422050802bd964e5cf92b93e136c6cd60914e72997e6"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "mipnerf360_archive_000",
+      "name": "archives/syscon3d_mipnerf360_000.tar",
+      "description": "Uncompressed tar shard containing the portable mipnerf360/ payload referenced by the manifests.",
+      "contentUrl": "https://huggingface.co/datasets/syscon3d-neurips26/syscon3d/resolve/main/archives/syscon3d_mipnerf360_000.tar",
+      "encodingFormat": "application/x-tar",
+      "contentSize": "659394560",
+      "sha256": "78f20b3efc4b394162e20e3206a08122aa3a1d67f86a98632f7fcd3662afb06d"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "materialized_syscon3d_images",
+      "name": "Materialized SysCON3D stress-test images",
+      "description": "Deterministic 224x224 PNG images for the materialized inconsistent scene types.",
+      "containedIn": {
+        "@id": "mipnerf360_archive_000"
+      },
+      "includes": "mipnerf360/syscon3d_scene_types/**/*.png",
+      "encodingFormat": "image/png"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "referenced_mipnerf360_images",
+      "name": "Referenced Mip-NeRF 360 images",
+      "description": "Referenced source images needed by the calibration splits and portable manifests.",
+      "containedIn": {
+        "@id": "mipnerf360_archive_000"
+      },
+      "includes": "mipnerf360/*/images_4/*",
+      "encodingFormat": "image/jpeg"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "camera_metadata",
+      "name": "Camera metadata",
+      "description": "Per-scene transform metadata for the referenced Mip-NeRF 360 scenes.",
+      "containedIn": {
+        "@id": "mipnerf360_archive_000"
+      },
+      "includes": "mipnerf360/*/transforms.json",
+      "encodingFormat": "application/json"
+    }
+  ],
+  "recordSet": [
+    {
+      "@type": "cr:RecordSet",
+      "@id": "syscon3d_stress_test_samples",
+      "name": "SysCON3D stress-test samples",
+      "description": "Samples listed by scene type in mipnerf360_impossible_splits.json.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "stress_test/sample_id",
+          "name": "sample_id",
+          "description": "Deterministic sample identifier.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "impossible_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.*[*].sample_id"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "stress_test/subset_size",
+          "name": "subset_size",
+          "description": "Number of views in the multi-view sample.",
+          "dataType": "sc:Integer",
+          "source": {
+            "fileObject": {
+              "@id": "impossible_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.*[*].subset_size"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "stress_test/image_rel_paths",
+          "name": "image_rel_paths",
+          "description": "Image paths relative to the extracted mipnerf360/ dataset root.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "impossible_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.*[*].image_rel_paths"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "stress_test/source_scenes",
+          "name": "source_scenes",
+          "description": "Underlying source scene names used to construct each sample.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "impossible_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.*[*].source_scenes"
+            }
+          }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "syscon3d_calibration_splits",
+      "name": "SysCON3D calibration splits",
+      "description": "Consistent-scene calibration splits listed in mipnerf360_calibration_splits.json.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "calibration/scenes",
+          "name": "scenes",
+          "description": "Source scene names included in the calibration manifest.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "calibration_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.scenes"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "calibration/subset_sizes",
+          "name": "subset_sizes",
+          "description": "View counts used by the calibration manifest.",
+          "dataType": "sc:Integer",
+          "source": {
+            "fileObject": {
+              "@id": "calibration_manifest"
+            },
+            "extract": {
+              "jsonPath": "$.subset_sizes"
+            }
+          }
+        }
+      ]
+    }
+  ],
+  "rai:dataLimitations": [
+    "SysCON3D is designed for stress-testing multi-view 3D reconstruction backbones and 3D consistency metrics. It is not intended as a general-purpose training dataset, semantic recognition benchmark, or substitute for real deployment evaluation.",
+    "Coverage is limited to nine static Mip-NeRF 360 scenes, deterministic image corruptions, fixed view counts, and 224x224 materialized stress-test images. Results may not generalize to dynamic scenes, human-centered scenes, outdoor-only or indoor-only deployment domains, or non-photographic imagery."
+  ],
+  "rai:dataBiases": [
+    "The source scenes inherit the selection biases of Mip-NeRF 360, including a small number of mostly static real-world scenes and specific camera trajectories.",
+    "The inconsistent samples intentionally over-represent synthetic and adversarial stress cases such as cross-scene mixtures and Gaussian corruptions; these samples are not representative of naturally occurring multi-view captures."
+  ],
+  "rai:personalSensitiveInformation": "The benchmark is based on public scene photographs and does not intentionally collect personal or sensitive attributes. It may still contain incidental real-world background content inherited from the source images.",
+  "rai:dataUseCases": [
+    "Recommended: evaluating robustness and abstention behavior of multi-view 3D reconstruction backbones and 3D consistency metrics under controlled stress tests.",
+    "Not recommended: training production models, evaluating demographic fairness, evaluating semantic recognition, or making claims about safety outside the documented stress-test setting."
+  ],
+  "rai:dataSocialImpact": "The benchmark can improve transparency around failure modes of learned 3D reconstruction backbones and metrics. Misuse risk includes overclaiming robustness beyond the documented scenes and perturbations or treating synthetic stress-test behavior as equivalent to real-world safety.",
+  "rai:hasSyntheticData": true,
+  "rai:dataCollection": "Source photographs and camera metadata come from the Mip-NeRF 360 benchmark. SysCON3D selects referenced images and materializes deterministic stress-test samples from those sources plus synthetic image corruptions.",
+  "rai:dataPreprocessingProtocol": "The release uses referenced-only packaging, rewrites manifests to portable paths under mipnerf360/, and stores materialized stress-test PNGs at 224x224. Synthetic scene types are generated deterministically from recorded sample ids, seeds, source paths, and corruption parameters in mipnerf360_impossible_splits.json.",
+  "rai:dataAnnotationProtocol": "No human semantic labels are included. The manifests provide programmatic sample metadata such as sample id, scene type, view count, source scenes, source image paths, synthetic seeds, and corruption parameters.",
+  "rai:dataReleaseMaintenancePlan": "The anonymous review release is versioned by the manifest field version=6 and by the Hugging Face dataset commit. Future updates should increment the manifest version and preserve prior release artifacts when possible.",
+  "prov:wasDerivedFrom": [
+    {
+      "@id": "https://jonbarron.info/mipnerf360/",
+      "name": "Mip-NeRF 360"
+    }
+  ],
+  "prov:wasGeneratedBy": [
+    {
+      "@type": "prov:Activity",
+      "name": "SysCON3D materialization",
+      "description": "Deterministic construction of calibration splits, cross-scene mixtures, identical-image samples, one-outlier samples, Gaussian noise samples, patched Gaussian samples, and Gaussian perturbations of consistent image sets."
+    }
+  ]
+}

mipnerf360_calibration_splits.json

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+{
+  "dataset_root": "mipnerf360",
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+}