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Dataset Summary
CQADupstack-english-Fa is a Persian (Farsi) dataset developed for the Retrieval task, focused on duplicate question detection in community question-answering (CQA) forums. This dataset is a translated version of the "english" (English Language & Usage) StackExchange subforum from the original 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 is designed to evaluate text embedding models in their ability to retrieve semantically equivalent or duplicate questions within the domain of English language and usage. Results can be compared on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
The dataset was constructed by:
- Translating the "english" StackExchange subforum using the Google Translate API
- Maintaining CQA structure for duplicate retrieval evaluation
As described in the FaMTEB paper, translation quality for BEIR-Fa datasets was evaluated via:
- BM25 performance comparison (original vs translated)
- GEMBA-DA framework using LLMs for quality assessment
Data Splits
According to the FaMTEB paper (Table 5), all CQADupstack-Fa datasets share a unified test set:
- Train: 0 samples
- Dev: 0 samples
- Test: 480,902 samples (aggregate)
The cqadupstack-english-fa
subset specifically includes approximately 45.6k examples (user-provided). Refer to the dataset provider for finer-grained split details.
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