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

**ArguAna-Fa** is a Persian (Farsi) dataset designed for the **Retrieval** task, focusing on **argument and counter-argument retrieval**. It is a translated version of the original English **ArguAna** dataset used in the BEIR benchmark and is a part of the **FaMTEB** (Farsi Massive Text Embedding Benchmark) under the BEIR-Fa suite.

- **Language(s):** Persian (Farsi)  
- **Task(s):** Retrieval (Argument Retrieval, Counter-Argument Retrieval)  
- **Source:** Translated from the English ArguAna dataset using Google Translate  
- **Part of FaMTEB:** Yes — part of the BEIR-Fa collection

## Supported Tasks and Leaderboards

ArguAna-Fa is used to benchmark models on their ability to retrieve relevant **counterarguments** given an input argument. This tests the **semantic understanding of argumentation** in Persian. Performance can be evaluated on the **Persian MTEB Leaderboard** (filter by language: Persian).

## Construction

- The dataset was created by translating the English ArguAna dataset using the **Google Translate API**
- Originally sourced from online debate portals, focusing on **argumentative reasoning and contrast**

As noted in the FaMTEB paper, the translation quality was evaluated by:

- Comparing **BM25 retrieval scores** between English and Persian  
- Using the **GEMBA-DA framework** (LLM-based assessment) to ensure translation accuracy

## Data Splits

According to the FaMTEB paper (Table 5):

- **Train:** 0 samples  
- **Dev:** 0 samples  
- **Test:** 10,080 samples

> Approximate total dataset size: **11.5k examples** (user-provided figure)