Update metadata.json

metadata.json

@@ -0,0 +1,90 @@
+{
+    "@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",
+        "wd": "https://www.wikidata.org/wiki/"
+    },
+    "@type": "sc:Dataset",
+    "name": "ARKit_LabelMaker",
+    "description": "ARKit LabelMaker is a 3D indoor scene dataset with dense semantic segmentation. The segmentation label is obtained by LabelMaker, an automated annotation pipeline for RGB-D inputs. It is currently the largest real-world indoor semantic segmentation dataset.",
+    "conformsTo": "http://mlcommons.org/croissant/1.0",
+    "citeAs": "@inproceedings{Weder2024labelmaker,\n  title = {{LabelMaker: Automatic Semantic Label Generation from RGB-D Trajectories}},\n  author={Weder, Silvan and Blum, Hermann and Engelmann, Francis and Pollefeys, Marc},\n  booktitle = {International Conference on 3D Vision (3DV)},\n  year = {2024}\n}",
+    "license": "bsd-3-clause-clear",
+    "url": "https://labelmaker.org/",
+    "version": "1.0.0",
+    "distribution": [
+        {
+            "@type": "cr:FileObject",
+            "@id": "repo",
+            "name": "repo",
+            "description": "The Hugging Face git repository.",
+            "contentUrl": "https://huggingface.co/datasets/labelmaker/arkit_labelmaker/tree/main",
+            "encodingFormat": "git+https",
+            "sha256": "https://github.com/mlcommons/croissant/issues/80"
+        },
+        {
+            "@type": "cr:FileSet",
+            "@id": "ply-files",
+            "name": "ply-files",
+            "description": "The colored mesh files.",
+            "containedIn": {
+                "@id": "repo"
+            },
+            "encodingFormat": "application/zip",
+            "includes": "*/*/point_lifted_mesh.ply"
+        },
+        {
+            "@type": "cr:FileSet",
+            "@id": "label-files",
+            "name": "label-files",
+            "description": "The semantic label of in wordnet label space for each vertices of the ply mesh.",
+            "containedIn": {
+                "@id": "repo"
+            },
+            "encodingFormat": "text/plain",
+            "includes": "*/*/labels.txt"
+        }
+    ],
+    "recordSet": []
+}