Complex Polish Text Understanding Benchmark.

Evaluates LLMs on understanding Polish text across 4 dimensions: sentiment analysis, language understanding (implicatures, author intent), phraseology (idioms, phraseological compounds), and tricky questions (logic, ambiguity, hallucination resistance). Score range 0-5 per category. Created by SpeakLeash/Spichlerz.

Best published scores.

465 results indexed across 5 metrics. Shaded row marks current SOTA; ties broken by submission date.

Primary

average · higher is better

All metrics

average, language-understanding, phraseology, sentiment, tricky-questions

1 steps
of state of the art.

Each row below marks a model that broke the previous record on average. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

1. May 22, 2026Qwen/Qwen3.5-27B thinking (API)Qwen4.34

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies