| { |
| "@context": { |
| "@language": "en", |
| "@vocab": "https://schema.org/", |
| "sc": "https://schema.org/", |
| "cr": "http://mlcommons.org/croissant/", |
| "dct": "http://purl.org/dc/terms/", |
| "prov": "http://www.w3.org/ns/prov#", |
| "rai": "http://mlcommons.org/croissant/RAI/", |
| "field": "cr:field", |
| "recordSet": "cr:recordSet", |
| "source": "cr:source", |
| "fileObject": "cr:fileObject", |
| "fileSet": "cr:fileSet", |
| "extract": "cr:extract", |
| "column": "cr:column", |
| "fileProperty": "cr:fileProperty", |
| "jsonPath": "cr:jsonPath", |
| "dataType": "cr:dataType", |
| "containedIn": "cr:containedIn", |
| "includes": "cr:includes", |
| "conformsTo": "dct:conformsTo", |
| "citeAs": "cr:citeAs", |
| "md5": "sc:md5", |
| "sha256": "sc:sha256" |
| }, |
| "@type": "sc:Dataset", |
| "name": "Temporal Twins Benchmark", |
| "description": "Temporal Twins is a synthetic UPI-style transaction benchmark for temporal fraud detection. The collection contains oracle_calib, easy, medium, and hard matched-prefix benchmark slices across deterministic seeds 0, 1, 2, 3, and 4. Fraud labels are assigned through delayed temporal mechanisms rather than static per-transaction attributes, and matched fraud/benign twin examples are aligned at the same local prefix index to suppress static shortcuts while preserving order-sensitive temporal structure.", |
| "url": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins", |
| "license": "https://creativecommons.org/licenses/by/4.0/", |
| "isBasedOn": { |
| "@type": "sc:SoftwareSourceCode", |
| "name": "Temporal Twins benchmark code", |
| "url": "https://huggingface.co/temporal-twins-benchmark/temporal-twins-code", |
| "license": "https://www.apache.org/licenses/LICENSE-2.0", |
| "identifier": "Apache-2.0" |
| }, |
| "conformsTo": "http://mlcommons.org/croissant/1.1", |
| "citation": "Anonymous NeurIPS 2026 submission for Temporal Twins; final citation will be added after review.", |
| "citeAs": "Temporal Twins Benchmark (synthetic UPI-style temporal fraud benchmark). Anonymous NeurIPS 2026 submission; final citation will be added after review. Code repository: https://huggingface.co/temporal-twins-benchmark/temporal-twins-code.", |
| "creator": [ |
| { |
| "@type": "sc:Organization", |
| "name": "Temporal Twins Benchmark Contributors" |
| } |
| ], |
| "dateCreated": "2026-05-04", |
| "datePublished": "2026-05-04", |
| "version": "1.0.0", |
| "keywords": [ |
| "synthetic financial transactions", |
| "UPI-style benchmark", |
| "temporal fraud detection", |
| "matched temporal twins", |
| "matched-prefix evaluation", |
| "sequence modeling", |
| "dynamic graph learning", |
| "reproducible benchmark" |
| ], |
| "distribution": [ |
| { |
| "@id": "metadata-files", |
| "@type": "cr:FileSet", |
| "name": "Metadata files", |
| "description": "Metadata payload for the hosted release, including this Croissant file and companion notes.", |
| "includes": "metadata/*.json", |
| "encodingFormat": "application/ld+json" |
| }, |
| { |
| "@id": "data-archive", |
| "@type": "cr:FileObject", |
| "name": "Temporal Twins data archive", |
| "description": "Zip archive containing synthetic transaction and matched-prefix parquet files for oracle_calib, easy, medium, and hard across seeds 0 through 4.", |
| "contentUrl": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/resolve/main/temporal_twins_data.zip", |
| "encodingFormat": "application/zip", |
| "sha256": "eb5a76dfa9391be447e9aa23b0d57527ac8e0d1e9d8df0277b209734483af49c" |
| }, |
| { |
| "@id": "transactions-files", |
| "@type": "cr:FileSet", |
| "name": "Synthetic transactions parquet files", |
| "description": "Expected synthetic transaction files for benchmark modes oracle_calib, easy, medium, and hard across seeds 0 through 4.", |
| "containedIn": { |
| "@id": "data-archive" |
| }, |
| "includes": "data/*/seed_*/transactions.parquet", |
| "encodingFormat": "application/x-parquet" |
| }, |
| { |
| "@id": "matched-prefix-files", |
| "@type": "cr:FileSet", |
| "name": "Matched-prefix example parquet files", |
| "description": "Expected matched-prefix benchmark examples for the hosted release. Each file contains fraud and benign twin examples evaluated at the same local prefix index.", |
| "containedIn": { |
| "@id": "data-archive" |
| }, |
| "includes": "data/*/seed_*/matched_pairs.parquet", |
| "encodingFormat": "application/x-parquet" |
| }, |
| { |
| "@id": "config-files", |
| "@type": "cr:FileSet", |
| "name": "Benchmark config files", |
| "description": "YAML configuration files for the hosted release.", |
| "includes": "configs/*.yaml", |
| "encodingFormat": "text/yaml" |
| }, |
| { |
| "@id": "results-files", |
| "@type": "cr:FileSet", |
| "name": "Results files", |
| "description": "Hosted result summaries and diagnostics for the deterministic paper suite.", |
| "includes": "results/*.csv", |
| "encodingFormat": "text/csv" |
| }, |
| { |
| "@id": "paper-suite-runs-csv", |
| "@type": "cr:FileObject", |
| "name": "Per-run paper-suite results", |
| "description": "Per-run deterministic results for the final 5-seed paper-scale suite.", |
| "contentUrl": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/results/paper_suite_runs.csv", |
| "encodingFormat": "text/csv", |
| "sha256": "1445666d207ab28d94678cdbf3625bf771700bdd1c444aa0cf01f41f6672055e" |
| }, |
| { |
| "@id": "paper-suite-summary-csv", |
| "@type": "cr:FileObject", |
| "name": "Paper-suite summary results", |
| "description": "Mean and standard deviation summary of the deterministic 5-seed paper suite.", |
| "contentUrl": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/results/paper_suite_summary.csv", |
| "encodingFormat": "text/csv", |
| "sha256": "aabe56ba6dfcb585903b4df74c53fcbcdb82a0b48e75b1214232f2fa2daaa6e4" |
| }, |
| { |
| "@id": "paper-suite-runtime-csv", |
| "@type": "cr:FileObject", |
| "name": "Paper-suite runtime summary", |
| "description": "Runtime and StaticGNN evaluation diagnostics for the final paper suite.", |
| "contentUrl": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/results/paper_suite_runtime.csv", |
| "encodingFormat": "text/csv", |
| "sha256": "899415b8b34962cd1029b083a6f26282fe28402f03cd3877dd4da96d7840be74" |
| }, |
| { |
| "@id": "paper-suite-failed-checks-csv", |
| "@type": "cr:FileObject", |
| "name": "Paper-suite failed gate checks", |
| "description": "Gate-check and advisory-check outcomes for each run in the final paper suite.", |
| "contentUrl": "https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/results/paper_suite_failed_checks.csv", |
| "encodingFormat": "text/csv", |
| "sha256": "860940b8e6594ba0b44ecf8f68d09eb0fa9b32b5426de38be6ed094cdfe4b267" |
| } |
| ], |
| "recordSet": [ |
| { |
| "@id": "transactions", |
| "@type": "cr:RecordSet", |
| "name": "transactions", |
| "description": "Synthetic UPI-style transactions spanning oracle_calib, easy, medium, and hard, with deterministic seeds 0 through 4.", |
| "field": [ |
| { |
| "@id": "transactions/sender_id", |
| "@type": "cr:Field", |
| "name": "sender_id", |
| "description": "Synthetic sender account identifier.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "sender_id" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/receiver_id", |
| "@type": "cr:Field", |
| "name": "receiver_id", |
| "description": "Synthetic receiver account identifier.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "receiver_id" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/timestamp", |
| "@type": "cr:Field", |
| "name": "timestamp", |
| "description": "Synthetic event timestamp used to order transactions within each sender history.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "timestamp" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/amount", |
| "@type": "cr:Field", |
| "name": "amount", |
| "description": "Synthetic transaction amount.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "amount" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/risk_score", |
| "@type": "cr:Field", |
| "name": "risk_score", |
| "description": "Synthetic noisy risk score emitted by the simulator's risk engine.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "risk_score" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/failed", |
| "@type": "cr:Field", |
| "name": "failed", |
| "description": "Indicator for whether the synthetic transaction attempt failed.", |
| "dataType": "https://schema.org/Boolean", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "failed" |
| } |
| } |
| }, |
| { |
| "@id": "transactions/is_fraud", |
| "@type": "cr:Field", |
| "name": "is_fraud", |
| "description": "Delayed synthetic fraud label attached to specific transactions.", |
| "dataType": "https://schema.org/Boolean", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "is_fraud" |
| } |
| } |
| } |
| ] |
| }, |
| { |
| "@id": "matched_prefix_examples", |
| "@type": "cr:RecordSet", |
| "name": "matched_prefix_examples", |
| "description": "Matched fraud and benign evaluation examples. Each benign twin is evaluated at the same local prefix index as the paired fraud twin, with matched static and prefix-level summaries. The release-facing field matched_local_event_idx is the matched prefix index and may correspond to the internal eval_local_event_idx column if files are exported directly from the current pipeline.", |
| "field": [ |
| { |
| "@id": "matched_prefix_examples/twin_pair_id", |
| "@type": "cr:Field", |
| "name": "twin_pair_id", |
| "description": "Matched fraud/benign twin pair identifier.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "twin_pair_id" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/sender_id", |
| "@type": "cr:Field", |
| "name": "sender_id", |
| "description": "Sender evaluated at the matched prefix.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "sender_id" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/matched_local_event_idx", |
| "@type": "cr:Field", |
| "name": "matched_local_event_idx", |
| "description": "Release-facing matched-prefix event index k used for both the fraud twin and its benign control.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "matched_local_event_idx" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/label", |
| "@type": "cr:Field", |
| "name": "label", |
| "description": "Binary matched-prefix label where 1 denotes the fraud twin example and 0 denotes the benign matched control.", |
| "dataType": "https://schema.org/Boolean", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "label" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/benchmark_mode", |
| "@type": "cr:Field", |
| "name": "benchmark_mode", |
| "description": "Benchmark mode identifier, e.g. temporal_twins_oracle_calib or temporal_twins.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "benchmark_mode" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/difficulty", |
| "@type": "cr:Field", |
| "name": "difficulty", |
| "description": "Difficulty slice within the release: oracle_calib, easy, medium, or hard.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "difficulty" |
| } |
| } |
| }, |
| { |
| "@id": "matched_prefix_examples/seed", |
| "@type": "cr:Field", |
| "name": "seed", |
| "description": "Deterministic benchmark seed in the final paper-scale suite.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "matched-prefix-files" |
| }, |
| "extract": { |
| "column": "seed" |
| } |
| } |
| } |
| ] |
| }, |
| { |
| "@id": "audit_columns", |
| "@type": "cr:RecordSet", |
| "name": "audit_columns", |
| "description": "Audit and probe support columns carried by the synthetic generator for analysis, oracle-style scoring, and benchmark validation. These columns are not intended for ordinary model training and should be excluded from learned baseline inputs in benchmark evaluations.", |
| "field": [ |
| { |
| "@id": "audit_columns/twin_role", |
| "@type": "cr:Field", |
| "name": "twin_role", |
| "description": "Twin role label such as fraud, benign, or background; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "twin_role" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/template_id", |
| "@type": "cr:Field", |
| "name": "template_id", |
| "description": "Identifier for the matched temporal template used to construct a twin pair; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "template_id" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/motif_hit_count", |
| "@type": "cr:Field", |
| "name": "motif_hit_count", |
| "description": "Count of motif hits in the generator trace; exposed only for audit or probe logic, not learned baselines.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "motif_hit_count" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/motif_source", |
| "@type": "cr:Field", |
| "name": "motif_source", |
| "description": "Generator-side motif provenance label; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "motif_source" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/trigger_event_idx", |
| "@type": "cr:Field", |
| "name": "trigger_event_idx", |
| "description": "Internal trigger event index for delayed fraud assignment; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "trigger_event_idx" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/label_event_idx", |
| "@type": "cr:Field", |
| "name": "label_event_idx", |
| "description": "Internal event index at which the delayed fraud label is attached; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "label_event_idx" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/label_delay", |
| "@type": "cr:Field", |
| "name": "label_delay", |
| "description": "Internal delay between trigger and labeled event; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Integer", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "label_delay" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/fraud_source", |
| "@type": "cr:Field", |
| "name": "fraud_source", |
| "description": "Internal fraud-source annotation such as motif or fallback; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "fraud_source" |
| } |
| } |
| }, |
| { |
| "@id": "audit_columns/dynamic_fraud_state", |
| "@type": "cr:Field", |
| "name": "dynamic_fraud_state", |
| "description": "Latent generator-side fraud-state variable used for mechanistic analysis; excluded from ordinary model features.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileSet": { |
| "@id": "transactions-files" |
| }, |
| "extract": { |
| "column": "dynamic_fraud_state" |
| } |
| } |
| } |
| ] |
| }, |
| { |
| "@id": "paper_suite_summary_results", |
| "@type": "cr:RecordSet", |
| "name": "paper_suite_summary_results", |
| "description": "Deterministic 5-seed summary results for the final paper-scale Temporal Twins suite.", |
| "field": [ |
| { |
| "@id": "paper_suite_summary_results/benchmark_group", |
| "@type": "cr:Field", |
| "name": "benchmark_group", |
| "description": "Benchmark slice summarized in the row, e.g. oracle_calib, easy, medium, or hard.", |
| "dataType": "https://schema.org/Text", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "benchmark_group" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/matched_eval_pairs_mean", |
| "@type": "cr:Field", |
| "name": "matched_eval_pairs_mean", |
| "description": "Mean number of matched-prefix evaluation pairs across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "matched_eval_pairs_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/static_agg_auc_mean", |
| "@type": "cr:Field", |
| "name": "static_agg_auc_mean", |
| "description": "Mean ROC-AUC of the static aggregate shortcut audit.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "static_agg_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/audit_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "audit_roc_auc_mean", |
| "description": "Mean oracle or probe ROC-AUC depending on benchmark mode.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "audit_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/raw_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "raw_roc_auc_mean", |
| "description": "Mean raw motif oracle or probe ROC-AUC depending on benchmark mode.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "raw_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/xgb_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "xgb_roc_auc_mean", |
| "description": "Mean XGBoost ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "xgb_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/static_gnn_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "static_gnn_roc_auc_mean", |
| "description": "Mean StaticGNN ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "static_gnn_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/seqgru_clean_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "seqgru_clean_roc_auc_mean", |
| "description": "Mean clean SeqGRU ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "seqgru_clean_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/seqgru_shuffle_delta_mean", |
| "@type": "cr:Field", |
| "name": "seqgru_shuffle_delta_mean", |
| "description": "Mean change in SeqGRU ROC-AUC under shuffled event order.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "seqgru_shuffle_delta_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/tgn_clean_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "tgn_clean_roc_auc_mean", |
| "description": "Mean TGN ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "tgn_clean_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/tgat_clean_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "tgat_clean_roc_auc_mean", |
| "description": "Mean TGAT ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "tgat_clean_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/dyrep_clean_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "dyrep_clean_roc_auc_mean", |
| "description": "Mean DyRep ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "dyrep_clean_roc_auc_mean" |
| } |
| } |
| }, |
| { |
| "@id": "paper_suite_summary_results/jodie_clean_roc_auc_mean", |
| "@type": "cr:Field", |
| "name": "jodie_clean_roc_auc_mean", |
| "description": "Mean JODIE ROC-AUC across seeds.", |
| "dataType": "https://schema.org/Float", |
| "source": { |
| "fileObject": { |
| "@id": "paper-suite-summary-csv" |
| }, |
| "extract": { |
| "column": "jodie_clean_roc_auc_mean" |
| } |
| } |
| } |
| ] |
| } |
| ], |
| "rai:dataLimitations": [ |
| "Temporal Twins is fully synthetic and is not representative of real UPI fraud prevalence, transaction mix, or institutional controls.", |
| "The benchmark is designed to isolate temporal-order reasoning under matched static controls rather than to reproduce a production fraud environment.", |
| "Standard-mode probe scores are informative benchmark probes, not upper bounds on real-world fraud detectability." |
| ], |
| "rai:dataBiases": [ |
| "Behavioral patterns are simulator-defined and reflect the assumptions of the Temporal Twins generator rather than observed user behavior.", |
| "Difficulty slices intentionally reshape motif strength, noise, delay, and adversarial perturbations, so conclusions should be interpreted as benchmark-relative rather than population-representative." |
| ], |
| "rai:personalSensitiveInformation": "None. The dataset contains no real UPI data, no real users, no real bank accounts, no real transactions, no personal financial records, and no protected demographic attributes.", |
| "rai:dataUseCases": [ |
| "Intended for temporal machine learning benchmark research, including sequence models, dynamic graph models, matched-control evaluation, and shortcut auditing.", |
| "Suitable for studying whether a model uses causal temporal order rather than static transaction summaries." |
| ], |
| "rai:dataSocialImpact": "Positive use may include more rigorous evaluation of temporal fraud-detection methods under matched static controls. Potential misuse includes treating synthetic behavior as if it were real user behavior or using the dataset to justify deployment decisions without external validation on real, appropriately governed data.", |
| "rai:hasSyntheticData": true, |
| "prov:wasGeneratedBy": { |
| "@type": "prov:Activity", |
| "name": "Temporal Twins synthetic UPI transaction generator", |
| "description": "Synthetic benchmark generation for oracle_calib, easy, medium, and hard using deterministic seeds [0, 1, 2, 3, 4], num_users=350, simulation_days=45, fast_mode=false, and n_checkpoints=8. The generator emits matched fraud/benign twins evaluated at matched local prefix indices and preserves paper-suite shortcut audits and summary results.", |
| "prov:used": [ |
| { |
| "@type": "prov:Entity", |
| "name": "Temporal Twins benchmark code repository", |
| "url": "https://huggingface.co/temporal-twins-benchmark/temporal-twins-code", |
| "license": "https://www.apache.org/licenses/LICENSE-2.0", |
| "identifier": "Apache-2.0" |
| }, |
| { |
| "@type": "prov:Entity", |
| "name": "Temporal Twins paper", |
| "description": "Not available during double-blind review; to be added after publication." |
| } |
| ] |
| } |
| } |
|
|
