---
configs:
  - config_name: default
    data_files:
      - 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

**CQADupstack-unix-Fa** is a Persian (Farsi) dataset designed for the **Retrieval** task, with a focus on **duplicate question retrieval**. It is a translated version of the "unix" (Unix & Linux Stack Exchange) subforum from the original English **CQADupstack** dataset, 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 "unix" StackExchange subforum using Google Translate  
- **Part of FaMTEB:** Yes — part of the BEIR-Fa collection

## Supported Tasks and Leaderboards

This dataset evaluates models' ability to **identify semantically similar or duplicate questions** in technical domains (specifically Unix & Linux systems). Performance can be compared on the **Persian MTEB Leaderboard** (filter by language: Persian).

## Construction

- Translated from the **"unix"** subforum of the CQADupstack dataset using the **Google Translate API**  
- Part of the broader BEIR benchmark collection targeting community question answering (CQA)

Translation quality was validated using:

- BM25 score comparisons  
- **LLM-based assessment (GEMBA-DA framework)**

## Data Splits

As reported in the FaMTEB paper (Table 5):

- **Train:** 0 samples  
- **Dev:** 0 samples  
- **Test:** included in 480,902 aggregate test samples (across all CQADupstack-Fa datasets)

> Approximate total dataset size: **50.1k examples** (user-provided figure)