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-mathematica-Fa is a Persian (Farsi) dataset created for the Retrieval task, focused on duplicate question detection in community question-answering (CQA) forums. It is a translated version of the "mathematica" (Mathematica Stack Exchange) subforum from the English CQADupstack dataset and is part of the FaMTEB benchmark within 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 test text embedding models for their ability to retrieve semantically similar or duplicate questions within the domain of Mathematica software and symbolic computation. Results can be evaluated on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
The dataset was built by:
- Translating the "mathematica" StackExchange subforum using the Google Translate API
- Preserving the structure of community QA for duplicate retrieval evaluation
Translation quality, as detailed in the FaMTEB paper, was assessed by:
- BM25 performance comparisons with the original English versions
- GEMBA-DA framework using LLMs for qualitative analysis
Data Splits
According to the FaMTEB paper (Table 5), all CQADupstack-Fa datasets use the following combined test set:
- Train: 0 samples
- Dev: 0 samples
- Test: 480,902 samples (aggregate)
This particular sub-dataset includes approximately 18.9k examples (user-provided). Specific train/dev/test splits for cqadupstack-mathematica-fa are not detailed in the FaMTEB paper. Refer to the dataset provider for finer-grained information.