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).
- 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.