Add Croissant + RAI metadata

croissant.json

@@ -0,0 +1,84 @@
+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "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"
+    },
+    "dct": "http://purl.org/dc/terms/",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileProperty": "cr:fileProperty",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform"
+  },
+  "@type": "sc:Dataset",
+  "name": "VBVR-MultiStep-Bench",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "description": "The frozen 180-instance public evaluation split of the VBVR-MultiStep benchmark for long-horizon multi-step image-to-video reasoning. 36 parameterized tasks across six reasoning families (Navigation, Planning, CSP, Execution, Geometry, Physics). Each instance follows a five-artifact contract: first_frame.png, prompt.txt, final_frame.png, ground_truth.mp4, question_metadata.json.",
+  "alternateName": ["VBVR-MultiStep Evaluation Split"],
+  "creator": {
+    "@type": "sc:Organization",
+    "name": "Video-Reason",
+    "url": "https://video-reason.com"
+  },
+  "datePublished": "2026-05-06",
+  "keywords": ["video reasoning", "multi-step reasoning", "long-horizon", "image-to-video", "benchmark", "synthetic"],
+  "license": "https://creativecommons.org/licenses/by/4.0/",
+  "url": "https://huggingface.co/datasets/Video-Reason/VBVR-MultiStep-Bench",
+  "version": "1.0.0",
+  "isLiveDataset": false,
+  "rai:dataCollection": "Fully synthetic. Every instance is procedurally produced by a deterministic per-task generator that consumes only released task definitions and a seed. There is no scraping, no human subjects, no third-party media, and no annotation of pre-existing content. Generators run as released code; instance manifests record the seed, the generator version, and per-task tolerances for exact reproduction.",
+  "rai:dataCollectionType": ["Synthetic"],
+  "rai:dataPreprocessingProtocol": "No post-collection preprocessing is applied. Each task's generator emits the five-artifact contract (first_frame.png, prompt.txt, final_frame.png, ground_truth.mp4, question_metadata.json) directly. Sample index, seed, and version are recorded in question_metadata.json so any instance is regenerable from the released code.",
+  "rai:dataAnnotationProtocol": "No human annotation. The reference rollout (ground_truth.mp4) is computed by the generator's deterministic ground-truth solver and is not produced by humans.",
+  "rai:dataAnnotationPlatform": "N/A (no annotation).",
+  "rai:dataReleaseMaintenancePlan": "Versioned releases on the Hugging Face Hub. The Croissant file in this repository is the canonical long-term record. Issues and breaking changes will be documented in repository commits and the dataset version field.",
+  "rai:dataLimitations": [
+    "Tasks are stylized and synthetic; transfer to unconstrained open-world video is not validated.",
+    "Visual style is generator-controlled and intentionally simplified to keep symbolic state recoverable; this is not a photorealism benchmark.",
+    "The CSP family ships 6 tasks but only 3 (Multi-13/14/15 excluded) are used in the human-judging pool described in the companion paper.",
+    "Reference rollouts encode one valid trajectory per instance; alternative valid trajectories are not enumerated."
+  ],
+  "rai:dataBiases": [
+    "Distribution biases inherited from generator parameter ranges: e.g., maze sizes, planning horizons, physics regimes are drawn from fixed bounded distributions and do not span the long tail of real-world settings.",
+    "Family balance is uniform (6 tasks per family) by design; this is a deliberate evaluation choice and does not reflect natural prevalence of these reasoning patterns.",
+    "Visual rendering is monocular, planar, and stylized; appearance distribution does not approximate any real-world video corpus.",
+    "No demographic content is generated; bias along human demographic axes does not apply to this dataset."
+  ],
+  "rai:personalSensitiveInformation": "None. The dataset contains no personal information, no biometric data, no demographic information, and no human subjects. All visual content is procedurally generated geometric / symbolic / physical scenes.",
+  "rai:dataUseCases": "Trajectory-level evaluation of image-to-video systems on long-horizon, rule-grounded tasks. Suitable for: (a) blind human pairwise comparison across model families on process correctness, fidelity, and render-quality axes; (b) automated reference-trajectory comparison once parsers for dense video state become reliable; (c) family-localized failure-mode diagnosis. The companion paper validates use case (a). Use cases (b) and (c) are not validated by this release.",
+  "rai:dataSocialImpact": "Intended for research on reasoning evaluation in video generation. Risks are minimal: the dataset is synthetic, free of personal content, and designed for evaluation rather than deployment. Potential for misuse is low; the most plausible negative impact is overfitting research on stylized rule-checked tasks at the expense of unconstrained video understanding, which we mitigate by clearly scoping the contribution as a complement to (not a replacement for) appearance-centric evaluation."
+}