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Add Croissant validator fallback file

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croissant_cityshiftbench_scale122.validator.txt ADDED
@@ -0,0 +1,398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ "citeAs": "cr:citeAs",
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+ "column": "cr:column",
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+ "conformsTo": "dct:conformsTo",
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+ "cr": "http://mlcommons.org/croissant/",
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+ "rai": "http://mlcommons.org/croissant/RAI/",
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+ "@id": "cr:data",
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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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+ "samplingRate": "cr:samplingRate",
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+ "transform": "cr:transform",
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+ "prov": "http://www.w3.org/ns/prov#"
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+ },
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+ "@type": "sc:Dataset",
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+ "name": "CityShiftBench Scale-122",
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+ "alternateName": "CityShiftBench Anonymous NeurIPS 2026 E&D Review Artifact",
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+ "description": "A benchmark for low-shot cross-city urban regression under strict city isolation, with 118 OSM-integrity active cities, 8,359 tile records, OSM-derived Road and Connectivity targets, fixed shot budgets, city-wise paired inference, controls, and failure diagnostics.",
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+ "url": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122",
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+ "conformsTo": "http://mlcommons.org/croissant/1.0",
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+ "version": "0.5.0",
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+ "datePublished": "2026-05-01",
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+ "license": [
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+ "https://opensource.org/license/mit/",
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+ "https://creativecommons.org/licenses/by/4.0/",
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+ "https://opendatacommons.org/licenses/odbl/1-0/"
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+ ],
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+ "creator": [
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+ {
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+ "@type": "Organization",
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+ "name": "Anonymous Authors"
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+ }
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+ ],
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+ "keywords": [
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+ "urban computing",
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+ "cross-city transfer",
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+ "benchmark",
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+ "geospatial learning",
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+ "evaluation protocol",
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+ "OpenStreetMap"
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+ ],
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+ "citation": "Anonymous Authors. CityShiftBench: Claim-Bounded Evaluation for Low-Shot Cross-City Urban Prediction. NeurIPS 2026 Evaluations and Datasets Track submission.",
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+ "citeAs": "Anonymous Authors. CityShiftBench: Claim-Bounded Evaluation for Low-Shot Cross-City Urban Prediction. NeurIPS 2026 Evaluations and Datasets Track submission.",
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+ "rai:hasSyntheticData": false,
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+ "prov:wasDerivedFrom": [
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+ {
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+ "@type": "Dataset",
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+ "name": "OpenStreetMap",
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+ "license": "https://opendatacommons.org/licenses/odbl/1-0/"
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+ },
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+ {
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+ "@type": "Dataset",
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+ "name": "World Bank Open Data API, indicator NY.GDP.PCAP.CD",
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+ "url": "https://data.worldbank.org/indicator/NY.GDP.PCAP.CD"
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+ }
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+ ],
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+ "prov:wasGeneratedBy": [
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+ {
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+ "@type": "CreateAction",
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+ "name": "CityShiftBench target rebuild and evaluation pipeline",
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+ "description": "Rebuilds OSM-derived tile targets, applies fixed city-isolated split registries and target-shot indices, runs target-safe baseline and SATCA evaluations, and generates released summaries."
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+ }
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+ ],
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+ "distribution": [
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "tile_targets_file",
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+ "name": "cityshiftbench_scale122_tile_targets.csv",
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+ "description": "Tile-level target records.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/cityshiftbench_scale122_tile_targets.csv",
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "tile_manifest_122_file",
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+ "name": "tile_manifest_122.csv",
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+ "description": "Tile geometry and registry records.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/tile_manifest_122.csv",
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+ "@type": "cr:FileObject",
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+ "@id": "target_shot_registry_file",
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+ "name": "target_shot_registry_scale122.csv",
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+ "description": "Fixed target-shot support/evaluation assignments.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/splits/target_shot_registry_scale122.csv",
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "split_registry_122_file",
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+ "name": "split_registry_122.csv",
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+ "description": "LOCO split registry.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/splits/split_registry_122.csv",
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+ "@type": "cr:FileObject",
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+ "@id": "baseline_summary_file",
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+ "name": "fewshot_baseline_suite_scale122_summary.csv",
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+ "description": "Scale-122 standard baseline summaries.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/results/fewshot_baseline_suite_scale122_summary.csv",
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+ },
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "satca_paired_file",
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+ "name": "satca_scale122_local_sharded_k010_paired_significance.csv",
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+ "description": "Matched city-wise SATCA paired inference at k=10.",
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+ "contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/results/satca_scale122_local_sharded_k010_paired_significance.csv",
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+ }
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+ ],
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+ "recordSet": [
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+ {
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+ "@type": "cr:RecordSet",
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+ "@id": "tile_targets_records",
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+ "name": "Scale-122 tile target records",
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+ "key": [
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+ {
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+ "@id": "tile_targets_records/row_id"
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+ }
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+ ],
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+ "field": [
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/row_id",
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+ "name": "row_id",
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+ "description": "Stable tile-level row identifier.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "row_id"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/city",
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+ "name": "city",
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+ "description": "Registered city name.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "city"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/country",
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+ "name": "country",
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+ "description": "Country associated with the registered city.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "country"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/tile_id",
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+ "name": "tile_id",
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+ "description": "Tile identifier within city.",
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+ "dataType": "sc:Integer",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "tile_id"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/latitude",
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+ "name": "latitude",
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+ "description": "Tile center latitude.",
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+ "dataType": "sc:Float",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "latitude"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/longitude",
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+ "name": "longitude",
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+ "description": "Tile center longitude.",
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+ "dataType": "sc:Float",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "longitude"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/target_road_segments",
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+ "name": "target_road_segments",
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+ "description": "OSM-derived Road target.",
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+ "dataType": "sc:Float",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "target_road_segments"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "tile_targets_records/target_intersection_nodes",
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+ "name": "target_intersection_nodes",
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+ "description": "OSM-derived Connectivity target.",
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+ "dataType": "sc:Float",
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+ "source": {
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+ "fileObject": {
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+ "@id": "tile_targets_file"
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+ },
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+ "extract": {
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+ "column": "target_intersection_nodes"
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+ }
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+ }
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+ }
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+ ]
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+ },
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+ {
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+ "@type": "cr:RecordSet",
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+ "@id": "target_shot_registry_records",
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+ "name": "Target-shot registry",
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+ "key": [
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+ {
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+ "@id": "target_shot_registry_records/target_city"
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+ },
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+ {
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+ "@id": "target_shot_registry_records/seed"
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+ },
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+ {
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+ "@id": "target_shot_registry_records/shot"
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+ },
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+ {
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+ "@id": "target_shot_registry_records/row_id"
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+ }
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+ ],
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+ "field": [
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+ {
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+ "@type": "cr:Field",
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+ "@id": "target_shot_registry_records/target_city",
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+ "name": "target_city",
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+ "description": "Held-out target city.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "target_shot_registry_file"
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+ },
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+ "extract": {
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+ "column": "target_city"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "target_shot_registry_records/seed",
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+ "name": "seed",
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+ "description": "Seed used for deterministic support/evaluation assignment.",
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+ "dataType": "sc:Integer",
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+ "source": {
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+ "fileObject": {
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+ "@id": "target_shot_registry_file"
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+ },
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+ "extract": {
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+ "column": "seed"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "target_shot_registry_records/shot",
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+ "name": "shot",
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+ "description": "Target-shot budget.",
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+ "dataType": "sc:Integer",
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+ "source": {
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+ "fileObject": {
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+ "@id": "target_shot_registry_file"
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+ },
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+ "extract": {
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+ "column": "shot"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "target_shot_registry_records/role",
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+ "name": "role",
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+ "description": "Either support or eval.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "target_shot_registry_file"
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+ },
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+ "extract": {
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+ "column": "role"
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+ }
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+ }
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+ },
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+ {
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+ "@type": "cr:Field",
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+ "@id": "target_shot_registry_records/row_id",
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+ "name": "row_id",
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+ "description": "Tile-level row identifier.",
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+ "dataType": "sc:Text",
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+ "source": {
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+ "fileObject": {
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+ "@id": "target_shot_registry_file"
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+ },
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+ "extract": {
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+ "column": "row_id"
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+ }
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+ }
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+ }
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+ ]
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+ }
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+ ],
392
+ "rai:dataCollection": "The benchmark uses public city-level geospatial artifacts and OSM-derived truth layers. The active Scale-122 evaluation keeps 118 cities passing OSM-integrity checks.",
393
+ "rai:dataBiases": "OSM mapping completeness varies across cities and regions. Country-level GDP proxy strata may encode development and coverage differences and are descriptive only.",
394
+ "rai:dataLimitations": "The paper-core labels are structural Road and Connectivity targets. They do not measure human mobility, economic welfare, policy quality, or individual outcomes.",
395
+ "rai:dataSocialImpact": "The artifact supports research evaluation of cross-city transfer. It should not be used as an operational planning system or an authoritative city ranking.",
396
+ "rai:dataUseCases": "Intended uses include benchmarking low-shot cross-city transfer, auditing split sensitivity, testing city-wise reliability, and comparing methods under fixed shot budgets.",
397
+ "rai:personalSensitiveInformation": "No human-subject records or individual-level sensitive attributes are collected. The released metadata are city-level or tile-level geospatial descriptors."
398
+ }