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@@ -16,4 +16,30 @@ configs:
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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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+
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+ ## Dataset Summary
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+
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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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+
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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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+
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+
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+
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+ ## Citation
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+
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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+ @unpublished{mobarekati2024metarag,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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+ ```