| { | |
| "@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": { | |
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| "@type": "@json" | |
| }, | |
| "dataType": { | |
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| "@type": "@vocab" | |
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| "dct": "http://purl.org/dc/terms/", | |
| "examples": { | |
| "@id": "cr:examples", | |
| "@type": "@json" | |
| }, | |
| "extract": "cr:extract", | |
| "field": "cr:field", | |
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| "fileObject": "cr:fileObject", | |
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| "jsonPath": "cr:jsonPath", | |
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| "parentField": "cr:parentField", | |
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| "transform": "cr:transform" | |
| }, | |
| "@type": "sc:Dataset", | |
| "name": "3EED", | |
| "description": "A multi-platform visual grounding dataset for 3D perception. Contains synchronized LiDAR point clouds, RGB images, and metadata for each frame, collected from platforms: Waymo, M3ED-Quadruped, and M3ED-Drone.", | |
| "conformsTo": "http://mlcommons.org/croissant/1.0", | |
| "license": "https://choosealicense.com/licenses/ncsa/", | |
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| "distribution": [ | |
| { | |
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| "sha256": "https://github.com/mlcommons/croissant/issues/80" | |
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