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license: apache-2.0
library_name: pytorch
tags:
- temporal-graph-learning
- fraud-detection
- synthetic-data
- benchmark
- upi
- causal-evaluation
- matched-controls
- sequence-modeling
- dynamic-graph-learning
- neurips
datasets:
- temporal-twins-benchmark/temporal-twins
---
# 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
```text
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
- Dataset URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins)
- Croissant metadata URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/metadata/temporal_twins_croissant.json](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/raw/main/metadata/temporal_twins_croissant.json)
- Croissant metadata browser page: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/blob/main/metadata/temporal_twins_croissant.json](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/blob/main/metadata/temporal_twins_croissant.json)
- Data URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/data](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/data)
- Results URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/results](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/results)
- Configs URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/configs](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/configs)
- Metadata URL: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/metadata](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins/tree/main/metadata)
- Full release archive: [https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins](https://huggingface.co/datasets/temporal-twins-benchmark/temporal-twins)
- Code repository: [https://huggingface.co/temporal-twins-benchmark/temporal-twins-code](https://huggingface.co/temporal-twins-benchmark/temporal-twins-code)
- Paper or preprint: Not available during double-blind review; to be added after publication.
## 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.
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