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--- |
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dataset_info: |
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features: |
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- name: s1 |
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dtype: string |
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- name: s2 |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 26894269 |
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num_examples: 131157 |
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download_size: 12694309 |
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dataset_size: 26894269 |
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configs: |
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- config_name: default |
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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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``` |
