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StanzaAPI/iban-test-data

IBAN Test Data One valid test IBAN per country, generated deterministically and checked with the ISO 7064 MOD-97 algorithm. None is a real account. Free to use under CC0-1.0 — public domain dedication, no attribution required. Files iban-small.json / iban-small.csv — 100 rows (documents: 25) iban-medium.json / iban-medium.csv — 2,000 rows (documents: 250) iban-large.json / iban-large.csv — 20,000 rows (documents: 2,500) Deterministic: the same size always… See the full description on the dataset page: https://huggingface.co/datasets/StanzaAPI/iban-test-data.

sourceHugging Facecc0-1.0updated 6d agoView on Hugging Face
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IBAN Test Data

One valid test IBAN per country, generated deterministically and checked with the ISO 7064 MOD-97 algorithm. None is a real account.

Free to use under CC0-1.0 — public domain dedication, no attribution required.

Files

  • —iban-small.json / iban-small.csv — 100 rows (documents: 25)
  • —iban-medium.json / iban-medium.csv — 2,000 rows (documents: 250)
  • —iban-large.json / iban-large.csv — 20,000 rows (documents: 2,500)

Deterministic: the same size always produces the same rows.

Source

Generated by StanzaAPI from <https://stanzaapi.com/datasets/iban>.

Citation

StanzaAPI. (2026). IBAN Test Data. CC0-1.0.
DOI: 10.5281/zenodo.23076178
https://stanzaapi.com/datasets/iban

Security: adversarial corpus

This dataset ships a catalogued adversarial corpus of 12 hostile inputs (injection, XXE, resource exhaustion, encoding attacks, validation bypass, structural confusion, and prompt injection for AI agents) with the safe expected behaviour. See `adversarial/` or the hub.