Update Croissant canonical URL and name

croissant.json

@@ -36,10 +36,10 @@
     "transform": "cr:transform"
   },
   "@type": "sc:Dataset",
-  "name": "VBVR-MultiStep",
+  "name": "VR-MultiStep",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "description": "The ~360,000-sample programmatic training corpus for long-horizon multi-step image-to-video reasoning. 36 parameterized tasks across six reasoning families (Navigation, Planning, CSP, Execution, Geometry, Physics). Distributed as 7,200 tar.gz shards (≈50 samples per shard) plus Parquet metadata; each instance follows a five-artifact contract identical to the VBVR-MultiStep-Bench evaluation split.",
-  "alternateName": ["VBVR-MultiStep Training Corpus"],
+  "alternateName": ["VBVR-MultiStep", "VBVR-MultiStep Training Corpus"],
   "creator": {
     "@type": "sc:Organization",
     "name": "Video-Reason",
@@ -48,7 +48,7 @@
   "datePublished": "2026-05-06",
   "keywords": ["video reasoning", "multi-step reasoning", "long-horizon", "image-to-video", "training", "synthetic", "tar.gz", "parquet"],
   "license": "https://creativecommons.org/licenses/by/4.0/",
-  "url": "https://huggingface.co/datasets/Video-Reason/VBVR-MultiStep",
+  "url": "https://huggingface.co/datasets/Mark7121983123/VR-MultiStep",
   "version": "1.0.0",
   "isLiveDataset": false,
   "rai:dataCollection": "Fully synthetic. Each of the 36 tasks ships a deterministic generator that emits the five-artifact contract (first_frame.png, prompt.txt, final_frame.png, ground_truth.mp4, question_metadata.json) from a (task, seed) pair. No scraping, no human subjects, no third-party media, no manual annotation. The training corpus is partitioned into disjoint seed bands (1–5,000 and 5,001–10,000 per task) that are themselves disjoint from the evaluation seeds released in VBVR-MultiStep-Bench.",