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Upload croissant.json with huggingface_hub

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+ {
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+ "@context": {
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+ "@language": "en",
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+ "@vocab": "https://schema.org/",
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+ "cr": "http://mlcommons.org/croissant/",
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+ "sc": "https://schema.org/",
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+ "dct": "http://purl.org/dc/terms/",
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+ "citeAs": "cr:citeAs",
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+ "column": "cr:column",
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+ "conformsTo": "dct:conformsTo",
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+ "data": {
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+ "@id": "cr:data",
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+ "@type": "@json"
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+ },
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+ "dataType": {
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+ "@id": "cr:dataType",
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+ "@type": "@vocab"
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+ },
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+ "extract": "cr:extract",
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+ "field": "cr:field",
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+ "fileProperty": "cr:fileProperty",
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+ "fileObject": "cr:fileObject",
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+ "fileSet": "cr:fileSet",
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+ "format": "cr:format",
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+ "includes": "cr:includes",
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+ "isLiveDataset": "cr:isLiveDataset",
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+ "jsonPath": "cr:jsonPath",
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+ "key": "cr:key",
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+ "md5": "cr:md5",
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+ "parentField": "cr:parentField",
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+ "path": "cr:path",
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+ "recordSet": "cr:recordSet",
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+ "references": "cr:references",
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+ "regex": "cr:regex",
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+ "repeated": "cr:repeated",
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+ "replace": "cr:replace",
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+ "separator": "cr:separator",
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+ "source": "cr:source",
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+ "subField": "cr:subField",
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+ "transform": "cr:transform"
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+ },
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+ "@type": "sc:Dataset",
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+ "name": "calvdb",
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+ "description": "First benchmark for data-driven annual calving front forecasting, comprising 17,358 observations across 123 marine-terminating Svalbard glaciers from 2013 to 2023.",
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+ "url": "https://huggingface.co/datasets/enscg/calvdb",
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+ "license": "https://creativecommons.org/licenses/by/4.0/",
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+ "version": "1.0.0",
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+ "datePublished": "2025-05-06",
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+ "conformsTo": "http://mlcommons.org/croissant/1.0",
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+ "citeAs": "@inproceedings{YOUR_CITATION_KEY, title={SvalCalvingDB}, author={YOUR NAME}, year={2025}}",
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+ "distribution": [
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "train-index",
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+ "name": "train.json",
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+ "description": "Training split sample index (88 glaciers).",
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+ "contentUrl": "splits/train.json",
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+ "encodingFormat": "application/json",
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+ "sha256": "6e3fa98028a5ec6ec9fdf56350310b297338593db9f8437bd53ab92d890cc658"
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+ },
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "val-index",
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+ "name": "val.json",
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+ "description": "Validation split sample index (12 glaciers).",
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+ "contentUrl": "splits/val.json",
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+ "encodingFormat": "application/json",
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+ "sha256": "7de1bb38c0b0c7f50f623129923da92add572f11287ca68a442a34e62e3e4325"
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+ },
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "test-index",
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+ "name": "test.json",
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+ "description": "Test split sample index (23 glaciers).",
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+ "contentUrl": "splits/test.json",
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+ "encodingFormat": "application/json",
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+ "sha256": "e6a06da202207c9f14b6010e720be2723f6750a4e89227385e16477151977788"
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+ },
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "norm-stats",
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+ "name": "normalisation_stats.json",
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+ "description": "Per-channel normalisation statistics computed from training split only.",
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+ "contentUrl": "splits/normalisation_stats.json",
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+ "encodingFormat": "application/json",
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+ "sha256": "da683818bffe6d7ebaaab95efe3e8f6946950ca25aea09c1e44d7b719ff6fea6"
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+ },
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+ {
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+ "@type": "cr:FileSet",
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+ "@id": "zarr-stores",
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+ "name": "zarr_stores",
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+ "description": "Per-glacier zarr stores compressed as zip files. Each zip contains arrays: sdt (T,H,W), imagery (T,5,H,W), geophys (T,5,H,W), climate (T,2), trace (T,H,W). Spatial resolution: 30m, CRS: EPSG:3995.",
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+ "encodingFormat": "application/zip",
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+ "includes": "zarr_zipped/*.zip"
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+ }
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+ ]
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+ }