Hugging Face's logo

Datasets:
temporal-twins-benchmark
/
temporal-twins

Tags:
temporal-graph-learning
fraud-detection
synthetic-data
benchmark
upi
causal-evaluation
License:
Dataset card Files
xet
 Community
Dataset Viewer

The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.

Temporal Twins Release Bundle

This release/ directory is a manual-hosting bundle for the Temporal Twins benchmark. It is intended to be uploaded later to a repository such as Hugging Face, Kaggle, Dataverse, OpenML, or another archival host. Hosting has not been performed by this preparation step.

What This Release Contains

  • DATASET_CARD.md: NeurIPS-style dataset card for the benchmark
  • README_REPO.md: copied repository README from the project root
  • LICENSE: copied project license file
  • results/: final deterministic paper-suite outputs
  • configs/: benchmark configuration files and a paper-suite reference config
  • metadata/: Croissant metadata and validation notes
  • data/: empty per-mode/per-seed directory scaffold plus generation instructions
  • MANIFEST.sha256: SHA256 manifest for all files in this bundle

How To Use The Data

  1. Read DATASET_CARD.md for benchmark scope, schema, intended use, and limitations.
  2. Read metadata/temporal_twins_croissant.json for machine-readable release metadata.
  3. Use results/paper_suite_summary.csv and results/paper_suite_summary.md for the paper-ready reference results.
  4. Populate data/ with the generated per-seed transaction and matched-prefix files before public hosting.

How To Regenerate The Data

The repository does not currently store per-seed transactions.parquet and matched_pairs.parquet release exports. To generate them without changing benchmark logic, follow the instructions in data/README_GENERATION.md.

How To Reproduce Paper Results

The final deterministic paper suite used:

  • benchmark groups: oracle_calib, easy, medium, hard
  • benchmark modes:
    • oracle_calib -> temporal_twins_oracle_calib
    • easy, medium, hard -> temporal_twins
  • seeds: 0 1 2 3 4
  • num_users = 350
  • simulation_days = 45
  • fast_mode = false
  • n_checkpoints = 8
  • device: cpu

Reference artifacts:

  • results/paper_suite_runs.csv
  • results/paper_suite_summary.csv
  • results/paper_suite_runtime.csv
  • results/paper_suite_failed_checks.csv
  • results/paper_suite_summary.md
  • results/paper_suite_meta.json

File Structure 

release/
├── README.md
├── README_REPO.md
├── DATASET_CARD.md
├── LICENSE
├── MANIFEST.sha256
├── RELEASE_CHECKLIST.md
├── data/
│   ├── README_GENERATION.md
│   ├── oracle_calib/seed_{0..4}/
│   ├── easy/seed_{0..4}/
│   ├── medium/seed_{0..4}/
│   └── hard/seed_{0..4}/
├── configs/
├── results/
└── metadata/

Hosted URLs

Licenses

  • Code: Apache License 2.0 (Apache-2.0)
  • Dataset and generated benchmark artifacts: Creative Commons Attribution 4.0 International (CC-BY-4.0)
  • Code SPDX-License-Identifier: Apache-2.0
  • Dataset SPDX-License-Identifier: CC-BY-4.0
  • No real UPI data or personal financial records are included in this release bundle.

Notes

  • This bundle contains no real UPI data, no real users, no real bank accounts, and no personal financial records.
  • The benchmark code, generator logic, labels, matched-prefix protocol, and model logic were not modified while preparing this release directory.
Downloads last month
66
Total file size:
62.4 MB