README.md

---
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-tex-Fa** is a Persian (Farsi) dataset curated for the **Retrieval** task, specifically targeting **duplicate question detection** in community question-answering (CQA) forums. This dataset is a translation of the **"TeX - LaTeX" StackExchange 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 assesses the ability of **text embedding models** to identify **semantically equivalent or duplicate questions** within the domain of **TeX and LaTeX programming**. Evaluation results appear on the **Persian MTEB Leaderboard** (filter by language: Persian).

## Construction

The construction process included:

- Translating the **"TeX - LaTeX"** subforum from the CQADupstack dataset using the **Google Translate API**
- Retaining the original duplicate-retrieval task structure

The **FaMTEB** paper confirms quality through:

- **BM25 retrieval comparisons** across English and Persian versions  
- **GEMBA-DA framework**, which employed LLMs to verify translation fidelity

## Data Splits

Per FaMTEB paper (Table 5), all **CQADupstack-Fa** sub-datasets share the same test pool:

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

The individual split count for `cqadupstack-tex-fa` is not provided separately. For detailed partitioning, refer to FaMTEB resources.

**Total (user-reported):** ~76.2k examples