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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
**CQADupstack-android-Fa** is a Persian (Farsi) dataset developed for the **Retrieval** task, with a focus on **duplicate question detection** in community question-answering (CQA) forums. This dataset is a translated version of the **"android" (Android Enthusiasts)** 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 evaluates **text embedding models** on their ability to retrieve **semantically equivalent or duplicate questions** in the **Android usage and development** domain. Results can be viewed on the **Persian MTEB Leaderboard** (filter by language: Persian).
## Construction
The dataset was created by:
- Translating the "android" (Android Enthusiasts) subforum from the English CQADupstack dataset using the **Google Translate API**
- Preserving the CQA structure for evaluating **duplicate retrieval** tasks
According to the FaMTEB paper, the BEIR-Fa datasets underwent translation quality evaluation using:
- **BM25 retrieval performance comparisons** (English vs Persian)
- **GEMBA-DA evaluation**, leveraging LLMs for quality control
## Data Splits
As per the FaMTEB paper (Table 5), all **CQADupstack-Fa** sub-datasets share a pooled evaluation set:
- **Train:** 0 samples
- **Dev:** 0 samples
- **Test:** 480,902 samples (aggregate)
The `cqadupstack-android-fa` subset contains approximately **25.4k examples** (user-provided figure). For more granular splits, consult the dataset provider or FaMTEB documentation.
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