Datasets:
Tasks:
Tabular Classification
Formats:
csv
Sub-tasks:
tabular-multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
anomaly-detection
continual-learning
continual-anomaly-detection
particle-identification
physics
tabular
License:
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| "description": "CAD-MiniBooNe is a continual anomaly detection benchmark scenario derived from the MiniBooNE Particle Identification dataset (UCI ML Repository, ID 199), a physics dataset distinguishing electron-neutrino (signal) from muon-neutrino (background) events. The original binary-classification data is recast as anomaly detection and converted into a sequence of 5 concept-grouped tasks (miniboone_0-miniboone_4) via spectral clustering. The dataset contains 66,116 samples with a 72.47% anomaly ratio in the test set.", | |
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| "dataType": "sc:Float", | |
| "source": { | |
| "fileObject": { | |
| "@id": "data.csv" | |
| }, | |
| "extract": { | |
| "column": "feature_43" | |
| } | |
| } | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/feature_44", | |
| "name": "feature_44", | |
| "dataType": "sc:Float", | |
| "source": { | |
| "fileObject": { | |
| "@id": "data.csv" | |
| }, | |
| "extract": { | |
| "column": "feature_44" | |
| } | |
| } | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/feature_45", | |
| "name": "feature_45", | |
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| "extract": { | |
| "column": "feature_45" | |
| } | |
| } | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/feature_46", | |
| "name": "feature_46", | |
| "dataType": "sc:Float", | |
| "source": { | |
| "fileObject": { | |
| "@id": "data.csv" | |
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| "extract": { | |
| "column": "feature_46" | |
| } | |
| } | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/feature_47", | |
| "name": "feature_47", | |
| "dataType": "sc:Float", | |
| "source": { | |
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| "extract": { | |
| "column": "feature_47" | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/feature_48", | |
| "name": "feature_48", | |
| "dataType": "sc:Float", | |
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| { | |
| "@type": "cr:Field", | |
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| }, | |
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| "@type": "cr:Field", | |
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| "name": "label", | |
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| "column": "label" | |
| } | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/task_split", | |
| "name": "task_split", | |
| "dataType": "sc:Text", | |
| "source": { | |
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| "column": "task_split" | |
| } | |
| } | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/task_id", | |
| "name": "task_id", | |
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| "column": "task_id" | |
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| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "data/task_name", | |
| "name": "task_name", | |
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| "column": "task_name" | |
| } | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "@type": "cr:RecordSet", | |
| "@id": "orderings", | |
| "name": "orderings", | |
| "description": "Task orderings for continual-learning evaluation. Inlined so the Croissant is self-contained.", | |
| "key": { | |
| "@id": "orderings/name" | |
| }, | |
| "field": [ | |
| { | |
| "@type": "cr:Field", | |
| "@id": "orderings/name", | |
| "name": "name", | |
| "dataType": "sc:Text" | |
| }, | |
| { | |
| "@type": "cr:Field", | |
| "@id": "orderings/task_sequence", | |
| "name": "task_sequence", | |
| "dataType": "sc:Text", | |
| "references": { | |
| "field": { | |
| "@id": "data/task_name" | |
| } | |
| }, | |
| "repeated": true | |
| } | |
| ], | |
| "data": [ | |
| { | |
| "orderings/name": "curriculum_asc", | |
| "orderings/task_sequence": [ | |
| "miniboone_2", | |
| "miniboone_3", | |
| "miniboone_0", | |
| "miniboone_4", | |
| "miniboone_1" | |
| ] | |
| }, | |
| { | |
| "orderings/name": "curriculum_desc", | |
| "orderings/task_sequence": [ | |
| "miniboone_1", | |
| "miniboone_4", | |
| "miniboone_0", | |
| "miniboone_3", | |
| "miniboone_2" | |
| ] | |
| }, | |
| { | |
| "orderings/name": "generalization_desc", | |
| "orderings/task_sequence": [ | |
| "miniboone_2", | |
| "miniboone_0", | |
| "miniboone_3", | |
| "miniboone_4", | |
| "miniboone_1" | |
| ] | |
| }, | |
| { | |
| "orderings/name": "generalization_asc", | |
| "orderings/task_sequence": [ | |
| "miniboone_1", | |
| "miniboone_4", | |
| "miniboone_3", | |
| "miniboone_0", | |
| "miniboone_2" | |
| ] | |
| }, | |
| { | |
| "orderings/name": "smooth_drift", | |
| "orderings/task_sequence": [ | |
| "miniboone_1", | |
| "miniboone_4", | |
| "miniboone_0", | |
| "miniboone_3", | |
| "miniboone_2" | |
| ] | |
| }, | |
| { | |
| "orderings/name": "abrupt_drift", | |
| "orderings/task_sequence": [ | |
| "miniboone_0", | |
| "miniboone_1", | |
| "miniboone_2", | |
| "miniboone_4", | |
| "miniboone_3" | |
| ] | |
| } | |
| ] | |
| } | |
| ], | |
| "datePublished": "2026-05-06" | |
| } |