configs:
- config_name: default
data_files:
- split: dev
path: qrels/dev.jsonl
- 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
Quora-Fa is a Persian (Farsi) dataset designed for the Retrieval task, specifically targeting duplicate question retrieval. It is a translated version of the widely-known English Quora Question Pairs dataset (as used in the BEIR benchmark) and is part of the FaMTEB (Farsi Massive Text Embedding Benchmark), under the BEIR-Fa collection.
- Language(s): Persian (Farsi)
- Task(s): Retrieval (Duplicate Question Retrieval)
- Source: Translated from the English Quora Question Pairs dataset using Google Translate
- Part of FaMTEB: Yes — part of the BEIR-Fa collection
Supported Tasks and Leaderboards
This dataset is designed to test how well models can retrieve semantically equivalent or duplicate questions, which is crucial in community QA systems. Model performance can be evaluated on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
- The dataset was created by machine-translating the Quora Question Pairs dataset using the Google Translate API
- It includes pairs of questions labeled for duplication
As outlined in the FaMTEB paper, translation quality was validated via:
- BM25 score comparison between English and Persian versions
- LLM-based evaluation using the GEMBA-DA framework for quality assurance
Data Splits
According to the FaMTEB paper (Table 5):
- Train: 0 samples
- Dev: 0 samples
- Test: 538,606 samples
Approximate total dataset size: 561k examples (user-provided figure)