---
configs:
  - config_name: default
    data_files:
      - split: dev
        path: qrels/dev.jsonl
      - split: test
        path: qrels/test.jsonl
  - config_name: corpus
    data_files:
      - split: corpus
        path: corpus.jsonl
  - config_name: queries
    data_files:
      - split: queries
        path: queries.jsonl
---
## Dataset Summary

**Quora-Fa** is a Persian (Farsi) dataset designed for the **Retrieval** task, specifically targeting **duplicate question retrieval**. It is a translated version of the widely-known English **Quora Question Pairs** dataset (as used in the BEIR benchmark) and is part of the **FaMTEB** (Farsi Massive Text Embedding Benchmark), under the BEIR-Fa collection.

- **Language(s):** Persian (Farsi)  
- **Task(s):** Retrieval (Duplicate Question Retrieval)  
- **Source:** Translated from the English Quora Question Pairs dataset using Google Translate  
- **Part of FaMTEB:** Yes — part of the BEIR-Fa collection

## Supported Tasks and Leaderboards

This dataset is designed to test how well models can **retrieve semantically equivalent or duplicate questions**, which is crucial in community QA systems. Model performance can be evaluated on the **Persian MTEB Leaderboard** (filter by language: Persian).

## Construction

- The dataset was created by machine-translating the **Quora Question Pairs** dataset using the **Google Translate API**  
- It includes **pairs of questions** labeled for duplication

As outlined in the FaMTEB paper, translation quality was validated via:

- BM25 score comparison between English and Persian versions  
- LLM-based evaluation using the **GEMBA-DA** framework for quality assurance

## Data Splits

According to the FaMTEB paper (Table 5):

- **Train:** 0 samples  
- **Dev:** 0 samples  
- **Test:** 538,606 samples

> Approximate total dataset size: **561k examples** (user-provided figure)