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-stats-Fa is a Persian (Farsi) dataset developed for the Retrieval task, focusing on duplicate question detection in community question-answering (CQA) platforms. This dataset is a translated version of the "Cross Validated" (Stats) 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 similar or duplicate questions in domains such as statistics, machine learning, and data analysis. Results can be viewed on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
The dataset was generated through:
- Translating the "stats" StackExchange subforum from CQADupstack via Google Translate API
- Retaining the original CQA structure for duplicate retrieval
According to the FaMTEB paper, the BEIR-Fa datasets underwent quality validation via:
- BM25 retrieval performance comparisons (English vs Persian)
- GEMBA-DA evaluation, leveraging LLMs for translation quality assurance
Data Splits
As per the FaMTEB paper (Table 5), all CQADupstack-Fa sub-datasets are part of a shared evaluation pool:
- Train: 0 samples
- Dev: 0 samples
- Test: 480,902 samples (aggregate)
The exact subset size for cqadupstack-stats-fa is approximately 43.8k examples (user-provided). For detailed splits, consult the FaMTEB dataset repository or maintainers.