---
dataset_info:
  features:
  - name: s1
    dtype: string
  - name: s2
    dtype: string
  splits:
  - name: train
    num_bytes: 26894269
    num_examples: 131157
  download_size: 12694309
  dataset_size: 26894269
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- sentence-similarity
language:
- fa
pretty_name: PersianSimilarSentences
size_categories:
- 100K<n<1M
---

## Dataset Summary

**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.

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."



## Citation

```bibtex
@unpublished{mobarekati2024metarag,
  title={MetaRAG and WikiFaQA: A Co-designed Framework and Benchmark for Advancing Persian Long-Context RAG},
  author={Mobarekati, Ali and Mohades, Ali},
  note={Unpublished manuscript},
  year={2025}
}
```