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  license: cc-by-nc-nd-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-nd-4.0
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+ language: [fa]
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+ tags:
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+ - nlu
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+ - text-classification
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+ - natural-language-inference
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+ - named-entity-recognition
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+ - paraphrase-identification
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+ - semantic-textual-similarity
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+ - extractive-question-answering
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+ - keyword-extraction
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+ - persian
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+ pretty_name: Persian NLU Benchmark
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+ task_categories:
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+ - text-classification
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+ - natural-language-inference
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+ - semantic-similarity-classification
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+ - named-entity-recognition
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+ - paraphrase-identification
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+ - question-answering
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+ - keyphrase-extraction
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  ---
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+
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+ # Dataset Card for Persian NLU Benchmark
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+
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+ ## Dataset Summary
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+
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+ The **Persian NLU Benchmark** is a curated collection of existing Persian datasets designed to evaluate **Natural Language Understanding (NLU)** capabilities across a diverse range of tasks. It provides a unified benchmark suite to assess different cognitive aspects of large language models (LLMs) in Persian.
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+ This benchmark includes the following tasks and datasets:
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+
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+ - **Text Classification**:
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+ - *Synthetic Persian Tone*
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+ - *SID*
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+
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+ - **Natural Language Inference (NLI)**:
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+ - *FarsTAIL*
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+
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+ - **Semantic Textual Similarity (STS)**:
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+ - *Synthetic Persian STS*
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+ - *FarSICK*
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+
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+ - **Named Entity Recognition (NER)**:
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+ - *Arman*
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+
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+ - **Paraphrase Detection**:
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+ - *FarsiParaphraseDetection*
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+ - *ParsiNLU*
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+
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+ - **Extractive Question Answering (EQA)**:
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+ - *PQuAD*
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+
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+ - **Keyword Extraction**:
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+ - *Synthetic Persian Keywords*
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+
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+ Each task highlights a distinct aspect of model performance, allowing researchers to evaluate and compare models across a broad range of NLU capabilities.
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+
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+ ---
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+
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+ ## Languages
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+
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+ - `fa` — Persian (Farsi)
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+
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+ ---
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+
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+ ## License
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+
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+ This dataset is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
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+ You must give appropriate credit, may not use it for commercial purposes, and may not distribute modified versions of the dataset.
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+ For details, see the [license](LICENSE) file or https://creativecommons.org/licenses/by-nc-nd/4.0/
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