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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-webmasters-Fa** is a Persian (Farsi) dataset created for the **Retrieval** task, focusing on identifying **duplicate or semantically similar questions** within community question-answering (CQA) platforms. It is a **translated version** of the *Webmasters StackExchange* data from the English **CQADupstack** dataset and is part of the [FaMTEB (Farsi Massive Text Embedding Benchmark)](https://huggingface.co/spaces/mteb/leaderboard).
* **Language(s):** Persian (Farsi)
* **Task(s):** Retrieval (Duplicate Question Retrieval)
* **Source:** Translated from CQADupstack-Webmasters (BEIR benchmark) using Google Translate
* **Part of FaMTEB:** Yes — as part of the BEIR-Fa collection
## Supported Tasks and Leaderboards
The dataset is designed to test **text embedding models' performance** in retrieving **duplicate or semantically equivalent questions** in a technical domain (SEO, webmastering, site performance). It is benchmarked on the **Persian MTEB Leaderboard** (language: Persian).
## Construction
This dataset was constructed via:
- Extracting data from the **Webmasters** subforum of StackExchange (from the English CQADupstack dataset)
- Translating the data into Persian using the **Google Translate API**
- Retaining the original query-relevant pairs for Retrieval evaluation
As discussed in the *FaMTEB* paper, the entire **BEIR-Fa collection** (including this dataset) was evaluated using:
- **BM25 retrieval score comparison**
- **GEMBA-DA framework** leveraging LLMs to validate translation quality
These assessments indicate good fidelity in Persian translations.
## Data Splits
The full CQADupstack-Fa collection has the following evaluation split:
- **Train:** 0 samples
- **Dev:** 0 samples
- **Test:** 480,902 samples (across all domains)
The **Webmasters-specific subset** contains approximately **19.3k examples**, though **individual splits are not separately provided** in the FaMTEB paper. For detailed splits, consult the dataset provider or Hugging Face dataset card.
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