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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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- nlg
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- summarization
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- machine-translation
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- question-generation
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- persian
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- multilingual
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pretty_name: Persian NLG Benchmark
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task_categories:
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- text-generation
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- summarization
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- translation
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---
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# Persian NLG
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## Dataset Summary
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The **Persian NLG Benchmark** is a curated collection of Persian datasets designed to evaluate natural language generation (NLG) capabilities in a variety of tasks, including:
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- **Summarization**: Using datasets like **SamSUM-fa** and **PnSummary**
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- **Machine Translation**: With parallel corpora such as **TEP**, **MIZAN**, and **EPOQUE**
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- **Question Generation**: Using the **PersianQA** dataset
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This benchmark provides a comprehensive view of how Persian-capable models perform on generative tasks that are linguistically and semantically complex.
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---
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## Supported Tasks and Leaderboards
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### Summarization
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The summarization track tests how well models can generate concise and accurate summaries from Persian conversational or formal texts. Relevant columns include input text and human-written summaries.
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### Machine Translation
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The translation task evaluates models' performance in translating between Persian, English, and Arabic. The datasets cover multiple domains and include source-target sentence pairs. Evaluation can be done in both directions (e.g., fa→en, en→fa).
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### Question Generation
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The question generation task assesses the ability of models to generate meaningful questions based on a given passage and answer. This tests the contextual and semantic understanding of the models in Persian.
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---
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## Languages
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The primary language is **Persian (fa)**, but the machine translation section includes **English (en)** and **Arabic (ar)** as well.
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---
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## License
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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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