| --- |
| 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) |
|
|
