---
license: cc-by-4.0
task_categories:
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - healthcare
  - medicine-quality
  - supply-chain
  - track-and-trace
  - serialization
  - diversion
  - GS1
  - pharmaceutical
  - sub-saharan-africa
  - lmic
pretty_name: "Supply Chain Integrity & Track-and-Trace (Serialization, Diversion, SF Entry)"
size_categories:
  - 10K<n<100K
configs:
  - config_name: serialized_track_trace
    data_files: data/sct_serialized_track_trace.csv
  - config_name: partial_visibility
    data_files: data/sct_partial_visibility.csv
    default: true
  - config_name: opaque_uncontrolled
    data_files: data/sct_opaque_uncontrolled.csv
---

# Supply Chain Integrity & Track-and-Trace Dataset

## Abstract

**30,000 simulated medicine shipment observations** (10,000 per scenario) across three supply chain visibility levels. Variables include serialization, authentication, temperature monitoring, GPS tracking, intermediary count, diversion, tampering, SF product entry, and recall. Three scenarios: serialized (90% serialized, 3% SF), partial visibility (16% serialized, 23% SF), opaque (1% serialized, 69% SF).

**This dataset is entirely simulated. It must not be used for supply chain or regulatory decisions.**

## Validation

<p align="center">
  <img src="validation_report.png" alt="Validation Report" width="100%">
</p>

## Usage

```python
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/supply-chain-track-trace", "partial_visibility")
df = dataset["train"].to_pandas()
print(df.groupby('serialized')['sf_product_detected'].mean())
```

## References

1. WHO (2024). Complex supply chains and SF medicines.
2. GS1 Healthcare. Pharmaceutical serialization standards.
3. AU/AMRH. Track-and-trace pilots in Africa.
4. EU Falsified Medicines Directive.
5. USAID GHSC-PSM. Supply chain visibility tools.

## Citation

```bibtex
@dataset{esa_sct_2025,
  title   = {Supply Chain Integrity and Track-and-Trace Dataset},
  author  = {{Electric Sheep Africa}},
  year    = {2025},
  publisher = {Hugging Face},
  url     = {https://huggingface.co/datasets/electricsheepafrica/supply-chain-track-trace}
}
```

## License

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)