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Codesota · Tasks · Polish LLM GeneralHome/Tasks/Natural Language Processing/Polish LLM General

Polish LLM General.

General-purpose evaluation of language models on Polish language tasks: sentiment, reading comprehension, question answering, cyberbullying detection, and emotional intelligence.

1
Datasets
5100
Results
average
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

Open PL LLM Leaderboard

Comprehensive evaluation of LLMs on Polish language understanding across 29 benchmarks including sentiment analysis (PolEmo2), reading comprehension (Belebele, DYK), question answering (PolQA, PPC, PoQuAD), cyberbullying detection (CBD), KLEJ NER, PolEval 2018 Task 3, and emotional intelligence (EQ-Bench). Maintained by SpeakLeash. 5-shot evaluation.

Primary metric: average
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§ 03 · Top 10

Leading models.

Leading models on Open PL LLM Leaderboard.

#Modelpoleval2018-task3YearSource
internlm2-1_8b602962026paper ↗
2🚧Mistral-7B-v0.1161422026paper ↗
3Mistral-7B-Instruct-v0.169102026paper ↗
4OpenChat3.5-0106-Spichlerz-Inst-00165162026paper ↗
5🚧polish-mistral-7B/epoch_0_hf63522026paper ↗
6internlm2-7b54982026paper ↗
7zephyr-7b-alpha44642026paper ↗
8internlm2-chat-7b-sft42702026paper ↗
9Llama-2-7b-chat-hf40192026paper ↗
10internlm2-chat-7b38932026paper ↗

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§ 04 · All datasets

Tracked datasets.

1 dataset tracked for this task.

Open PL LLM Leaderboard
CANONICAL
5100 results · average
Top: internlm2-1_8b 60296
§ 05 · Related tasks

Other tasks in Natural Language Processing.

Feature ExtractionFill-MaskNamed Entity RecognitionNatural Language InferencePolish Conversation QualityPolish Cultural CompetencyPolish Emotional IntelligencePolish Text Understanding
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