cityshiftbench-scale122 / croissant_cityshiftbench_scale122.validator.txt
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Add Croissant validator fallback file
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{
"@context": {
"@language": "en",
"@vocab": "https://schema.org/",
"citeAs": "cr:citeAs",
"column": "cr:column",
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"cr": "http://mlcommons.org/croissant/",
"rai": "http://mlcommons.org/croissant/RAI/",
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},
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"subField": "cr:subField",
"transform": "cr:transform",
"prov": "http://www.w3.org/ns/prov#"
},
"@type": "sc:Dataset",
"name": "CityShiftBench Scale-122",
"alternateName": "CityShiftBench Anonymous NeurIPS 2026 E&D Review Artifact",
"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.",
"url": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122",
"conformsTo": "http://mlcommons.org/croissant/1.0",
"version": "0.5.0",
"datePublished": "2026-05-01",
"license": [
"https://opensource.org/license/mit/",
"https://creativecommons.org/licenses/by/4.0/",
"https://opendatacommons.org/licenses/odbl/1-0/"
],
"creator": [
{
"@type": "Organization",
"name": "Anonymous Authors"
}
],
"keywords": [
"urban computing",
"cross-city transfer",
"benchmark",
"geospatial learning",
"evaluation protocol",
"OpenStreetMap"
],
"citation": "Anonymous Authors. CityShiftBench: Claim-Bounded Evaluation for Low-Shot Cross-City Urban Prediction. NeurIPS 2026 Evaluations and Datasets Track submission.",
"citeAs": "Anonymous Authors. CityShiftBench: Claim-Bounded Evaluation for Low-Shot Cross-City Urban Prediction. NeurIPS 2026 Evaluations and Datasets Track submission.",
"rai:hasSyntheticData": false,
"prov:wasDerivedFrom": [
{
"@type": "Dataset",
"name": "OpenStreetMap",
"url": "https://www.openstreetmap.org/copyright",
"license": "https://opendatacommons.org/licenses/odbl/1-0/"
},
{
"@type": "Dataset",
"name": "World Bank Open Data API, indicator NY.GDP.PCAP.CD",
"url": "https://data.worldbank.org/indicator/NY.GDP.PCAP.CD"
}
],
"prov:wasGeneratedBy": [
{
"@type": "CreateAction",
"name": "CityShiftBench target rebuild and evaluation pipeline",
"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."
}
],
"distribution": [
{
"@type": "cr:FileObject",
"@id": "tile_targets_file",
"name": "cityshiftbench_scale122_tile_targets.csv",
"description": "Tile-level target records.",
"contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/cityshiftbench_scale122_tile_targets.csv",
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},
{
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"@id": "tile_manifest_122_file",
"name": "tile_manifest_122.csv",
"description": "Tile geometry and registry records.",
"contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/tile_manifest_122.csv",
"contentSize": "1164645",
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"sha256": "f4cb64dbae6d373e18a534a21fd57dc9891daf3265f0a93357b029d76fcdb37c"
},
{
"@type": "cr:FileObject",
"@id": "target_shot_registry_file",
"name": "target_shot_registry_scale122.csv",
"description": "Fixed target-shot support/evaluation assignments.",
"contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/splits/target_shot_registry_scale122.csv",
"contentSize": "15412385",
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{
"@type": "cr:FileObject",
"@id": "split_registry_122_file",
"name": "split_registry_122.csv",
"description": "LOCO split registry.",
"contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/data/splits/split_registry_122.csv",
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"sha256": "cfebe60890ce89f177e0228f3ab46d274b97d9d4b641be561369be7ee3a8d070"
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{
"@type": "cr:FileObject",
"@id": "baseline_summary_file",
"name": "fewshot_baseline_suite_scale122_summary.csv",
"description": "Scale-122 standard baseline summaries.",
"contentUrl": "https://huggingface.co/datasets/aiurban/cityshiftbench-scale122/resolve/main/results/fewshot_baseline_suite_scale122_summary.csv",
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},
{
"@type": "cr:FileObject",
"@id": "satca_paired_file",
"name": "satca_scale122_local_sharded_k010_paired_significance.csv",
"description": "Matched city-wise SATCA paired inference at k=10.",
"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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{
"@type": "cr:RecordSet",
"@id": "tile_targets_records",
"name": "Scale-122 tile target records",
"key": [
{
"@id": "tile_targets_records/row_id"
}
],
"field": [
{
"@type": "cr:Field",
"@id": "tile_targets_records/row_id",
"name": "row_id",
"description": "Stable tile-level row identifier.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "row_id"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/city",
"name": "city",
"description": "Registered city name.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "city"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/country",
"name": "country",
"description": "Country associated with the registered city.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "country"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/tile_id",
"name": "tile_id",
"description": "Tile identifier within city.",
"dataType": "sc:Integer",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "tile_id"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/latitude",
"name": "latitude",
"description": "Tile center latitude.",
"dataType": "sc:Float",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "latitude"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/longitude",
"name": "longitude",
"description": "Tile center longitude.",
"dataType": "sc:Float",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "longitude"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/target_road_segments",
"name": "target_road_segments",
"description": "OSM-derived Road target.",
"dataType": "sc:Float",
"source": {
"fileObject": {
"@id": "tile_targets_file"
},
"extract": {
"column": "target_road_segments"
}
}
},
{
"@type": "cr:Field",
"@id": "tile_targets_records/target_intersection_nodes",
"name": "target_intersection_nodes",
"description": "OSM-derived Connectivity target.",
"dataType": "sc:Float",
"source": {
"fileObject": {
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},
"extract": {
"column": "target_intersection_nodes"
}
}
}
]
},
{
"@type": "cr:RecordSet",
"@id": "target_shot_registry_records",
"name": "Target-shot registry",
"key": [
{
"@id": "target_shot_registry_records/target_city"
},
{
"@id": "target_shot_registry_records/seed"
},
{
"@id": "target_shot_registry_records/shot"
},
{
"@id": "target_shot_registry_records/row_id"
}
],
"field": [
{
"@type": "cr:Field",
"@id": "target_shot_registry_records/target_city",
"name": "target_city",
"description": "Held-out target city.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "target_shot_registry_file"
},
"extract": {
"column": "target_city"
}
}
},
{
"@type": "cr:Field",
"@id": "target_shot_registry_records/seed",
"name": "seed",
"description": "Seed used for deterministic support/evaluation assignment.",
"dataType": "sc:Integer",
"source": {
"fileObject": {
"@id": "target_shot_registry_file"
},
"extract": {
"column": "seed"
}
}
},
{
"@type": "cr:Field",
"@id": "target_shot_registry_records/shot",
"name": "shot",
"description": "Target-shot budget.",
"dataType": "sc:Integer",
"source": {
"fileObject": {
"@id": "target_shot_registry_file"
},
"extract": {
"column": "shot"
}
}
},
{
"@type": "cr:Field",
"@id": "target_shot_registry_records/role",
"name": "role",
"description": "Either support or eval.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "target_shot_registry_file"
},
"extract": {
"column": "role"
}
}
},
{
"@type": "cr:Field",
"@id": "target_shot_registry_records/row_id",
"name": "row_id",
"description": "Tile-level row identifier.",
"dataType": "sc:Text",
"source": {
"fileObject": {
"@id": "target_shot_registry_file"
},
"extract": {
"column": "row_id"
}
}
}
]
}
],
"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.",
"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.",
"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.",
"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.",
"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.",
"rai:personalSensitiveInformation": "No human-subject records or individual-level sensitive attributes are collected. The released metadata are city-level or tile-level geospatial descriptors."
}