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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- sentence-similarity
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language:
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- fa
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pretty_name: PersianSimilarSentences
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size_categories:
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- 100K<n<1M
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---
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## Dataset Summary
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**PersianSimilarSentences** is a curated dataset of Persian sentence pairs designed for training semantic similarity and sentence embedding models. It combines several existing Persian NLP resources and a machine-translated version of the Quora Question Pairs dataset.
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This dataset was created to fine-tune the `FaLaBSE` and `FaMiniLM` models as part of the paper "MetaRAG and WikiFaQA: A Co-designed Framework and Benchmark for Advancing Persian Long-Context RAG."
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## Citation
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```bibtex
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@unpublished{mobarekati2024metarag,
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title={MetaRAG and WikiFaQA: A Co-designed Framework and Benchmark for Advancing Persian Long-Context RAG},
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author={Mobarekati, Ali and Mohades, Ali},
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note={Unpublished manuscript},
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year={2025}
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}
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```
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