---
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-stats-Fa** is a Persian (Farsi) dataset developed for the **Retrieval** task, focusing on **duplicate question detection** in community question-answering (CQA) platforms. This dataset is a translated version of the **"Cross Validated" (Stats)** subforum from the English **CQADupstack** collection and is part of the **FaMTEB** benchmark under the **BEIR-Fa** suite.

- **Language(s):** Persian (Farsi)  
- **Task(s):** Retrieval (Duplicate Question Retrieval)  
- **Source:** Translated from English using Google Translate  
- **Part of FaMTEB:** Yes — under BEIR-Fa

## Supported Tasks and Leaderboards

This dataset evaluates **text embedding models** on their ability to retrieve **semantically similar or duplicate questions** in domains such as **statistics, machine learning, and data analysis**. Results can be viewed on the **Persian MTEB Leaderboard** (filter by language: Persian).

## Construction

The dataset was generated through:

- Translating the "stats" StackExchange subforum from CQADupstack via **Google Translate API**
- Retaining the original CQA structure for **duplicate retrieval**

According to the FaMTEB paper, the BEIR-Fa datasets underwent quality validation via:

- **BM25 retrieval performance comparisons** (English vs Persian)  
- **GEMBA-DA evaluation**, leveraging LLMs for translation quality assurance

## Data Splits

As per the FaMTEB paper (Table 5), all **CQADupstack-Fa** sub-datasets are part of a shared evaluation pool:

- **Train:** 0 samples  
- **Dev:** 0 samples  
- **Test:** 480,902 samples (aggregate)

The exact subset size for `cqadupstack-stats-fa` is approximately **43.8k examples** (user-provided). For detailed splits, consult the FaMTEB dataset repository or maintainers.