Create README.md

README.md

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+---
+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)