jerzyk-bench

A Polish benchmark for decision models (typed questions with calibrated answers) on incoming correspondence: court letters, administrative notices, accounting documents and customer e-mails, plus real court rulings and real public notices.

🇵🇱 Polski benchmark modeli decyzyjnych dla korespondencji: pisma sądowe, urzędowe, księgowe i e-maile klientów, plus prawdziwe orzeczenia i obwieszczenia urzędów. Pytania: rodzaj pisma, czy biegnie termin, pilność, dział.

Files

File	Documents	Source	Labels
sad_test, adm_test, ksieg_test	120 each	generated by Bielik 11B v3 from recipes	by construction, automatically checked
email_test	120	written by Claude (Anthropic) from recipes	by construction, rule-checked, rules from SPEC.md
sad_dev, adm_dev, ksieg_dev, email_dev	30 each	as above	as above
sad_real_test	89	real court rulings, SAOS 2024–2026 (already anonymised)	document type from SAOS metadata
sad_real_fragmenty_test	31	SAOS texts that start mid-text, with no header	reported separately (type often undecidable)
sad_real_dev	120	SAOS 2025–2026, disjoint from test	document type from metadata
adm_real_test	56	real public notices from 10 offices (samorzad.gov.pl), de-duplicated by template, personal data replaced with [OSOBA]/[ADRES]	labelled by Claude following SPEC.md, checked by two blind re-labellings and adjudicated; not human-reviewed

Each line: id, domain, split, state (document text), questions (typed questions in the TypeSafe Jev systemone format), expected (gold answers), source (where applicable), author, labels and note.

Questions

• rodzaj / dzial / kategoria_kosztu: choice from a fixed list.
• termin: yes/no. Does a deadline for the recipient's action run?
• pilnosc: score 0–3, from the deadline length counted from the letter date: 0 nothing to do, 1 no deadline or > 14 days, 2 8–14 days, 3 ≤ 7 days or immediately. E-mails have their own scale: blocked customer = 2; damage, threat of court or "today" = 3.
• E-mail: rezygnacja (terminates service or account; a single-purchase return does not count), zdenerwowany (upset; a threat of court or media counts).

Every rule and every decision taken while building the set is listed in docs/SPEC.md in the code repository.

Configurations on the Hub: sad, adm, ksieg, email (generated; test and validation = dev), sad_real (test, validation), sad_real_fragmenty, adm_real. Domain codes: sad court, adm administrative, ksieg accounting, email customer e-mail.

from datasets import load_dataset
ds = load_dataset("trenify/jerzyk-bench", "adm_real", split="test")

Personal data

• Real court rulings come from SAOS, where parties are already anonymised. Before publication we also replaced names of judges, prosecutors and court clerks with [SĘDZIA], [OSOBA] and [PROTOKOLANT] (scripts/anonymize_rulings.py).
• Real public notices are official documents published by the offices. Names and addresses of private persons were replaced with [OSOBA] and [ADRES]. Names of offices, their official contact details and parcel numbers were kept.
• Generated documents use invented names and companies. PESEL numbers, phone numbers and e-mail domains were masked.
• Check before publication. All 296 real documents were then read in full by two independent automated read-throughs (Claude Opus and Claude Sonnet) looking for remaining personal data; 11 leaks were found and masked (MANUAL_FIXES in scripts/anonymize_rulings.py). Names of authors of cited legal commentaries were kept, as published literature. This was not a manual human review.
• Anonymisation can still miss something. If you find personal data in this dataset, write to contact@trenify.org with the document id (please do not quote it in public discussions), and we will remove it.
• Data protection and copyright requests (for example from a person a document concerns): contact@trenify.org.

Metrics

Accuracy per question, mean over domains, ±1 accuracy and MAE for scores, Brier score for yes/no, ECE (15 bins), and latency. See scripts/evaluate.py in the repository. Do not train on the test split. Use dev for model selection and calibration.

Results

Generated test set (480 documents) — accuracy (%)

Question	Jerzyk 1.0 (322M)	basal-2.0-mini (1.5B)	Qwen3 8B	Bielik 11B v3
Administrative: urgency	77.5	61.7	41.7	54.2
Administrative: document_type	90.0	93.3	90.8	95.0
Administrative: deadline	82.5	79.2	83.3	83.3
Customer e-mail: department	93.3	88.3	89.2	89.2
Customer e-mail: urgency	79.2	75.0	70.0	80.0
Customer e-mail: cancellation	99.2	100.0	97.5	96.7
Customer e-mail: upset	91.7	90.8	77.5	85.8
Accounting: cost_category	97.5	95.0	85.8	75.8
Accounting: urgency	64.2	35.8	45.8	62.5
Accounting: document_type	94.2	91.7	95.8	95.8
Accounting: deadline	85.8	95.8	93.3	76.7
Court: urgency	80.8	42.5	40.0	54.2
Court: document_type	84.2	96.7	94.2	92.5
Court: deadline	93.3	84.2	82.5	82.5
Mean over domains	86.4	80.2	77.0	79.9

Real documents (89 court rulings + 56 administrative notices) — accuracy (%), 95% confidence interval in brackets

Question	Jerzyk 1.0 (322M)	basal-2.0-mini (1.5B)	Qwen3 8B	Bielik 11B v3
Admin. notices (real): urgency	58.9 (46–71)	32.1 (21–45)	50.0 (37–63)	30.4 (20–43)
Admin. notices (real): document_type	85.7 (74–93)	78.6 (66–87)	83.9 (72–91)	85.7 (74–93)
Admin. notices (real): deadline	71.4 (58–82)	75.0 (62–84)	64.3 (51–76)	78.6 (66–87)
Court rulings (real): document_type	98.9 (94–100)	94.4 (88–98)	100.0 (96–100)	100.0 (96–100)
Mean over domains	85.5	78.1	83.0	82.5

	Jerzyk 1.0 (322M)	basal-2.0-mini (1.5B)	Qwen3 8B	Bielik 11B v3
ECE, real documents (lower = better)	0.106	0.112	0.191	0.154
Median latency per document (NVIDIA GeForce RTX 5080 Laptop GPU)	0.02 s	1.13 s (Apple M1, MLX)	0.24 s	0.41 s

Models compared: Jerzyk 1.0 (calibrated); basal-2.0-mini (MLX 8-bit, native /v1/systemone); Qwen3 8B and Bielik 11B v3.0 Instruct (GGUF Q4_K_M in llama.cpp, zero-shot, answer chosen from option log-probabilities). Mean over domains averages the questions of each domain first, then the domains, so every domain counts equally.

Caveats

• The generated sets use recipes, so their language is cleaner than real mail. Report real and generated results separately.
• The test documents for court, administrative and accounting were written by Bielik 11B, which may favour Bielik slightly.
• Urgency and deadline conventions are those of SPEC.md. A model that has not seen them is evaluated zero-shot.

About

Jerzyk and jerzyk-bench are published by Fundacja Trenify (Trenify Foundation), a Polish non-profit foundation. Issues and pull requests are welcome on GitHub. Contact: contact@trenify.org (also for security, personal-data and copyright reports).

Citation

@misc{jerzykbench2026,
  title        = {jerzyk-bench: a Polish benchmark for decision models on official correspondence},
  author       = {{Fundacja Trenify}},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/trenify/jerzyk-bench}}
}

License

Apache 2.0. Court rulings (SAOS) and public notices are official documents (art. 4 of the Polish Copyright Act). Generated documents use invented names and data.