| --- |
| 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-gaming-Fa** is a Persian (Farsi) dataset developed for the **Retrieval** task, with a focus on **duplicate question detection** in community question-answering (CQA) forums. This dataset is a translated version of the **"gaming" (Arqade)** StackExchange 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 equivalent or duplicate questions** in the **video gaming** domain. Results can be viewed on the **Persian MTEB Leaderboard** (filter by language: Persian). |
|
|
| ## Construction |
|
|
| The dataset was created by: |
|
|
| - Translating the "gaming" (Arqade) subforum from the English CQADupstack dataset using the **Google Translate API** |
| - Preserving the CQA structure for evaluating **duplicate retrieval** tasks |
|
|
| According to the FaMTEB paper, the BEIR-Fa datasets underwent translation quality evaluation using: |
|
|
| - **BM25 retrieval performance comparisons** (English vs Persian) |
| - **GEMBA-DA evaluation**, leveraging LLMs for quality control |
|
|
| ## Data Splits |
|
|
| As per the FaMTEB paper (Table 5), all **CQADupstack-Fa** sub-datasets share a pooled evaluation set: |
|
|
| - **Train:** 0 samples |
| - **Dev:** 0 samples |
| - **Test:** 480,902 samples (aggregate) |
|
|
| The `cqadupstack-gaming-fa` subset contains approximately **49.2k examples** (user-provided figure). For more granular splits, consult the dataset provider or FaMTEB documentation. |
|
|
