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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: qrels/test.jsonl |
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- config_name: corpus |
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data_files: |
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- split: corpus |
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path: corpus.jsonl |
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- config_name: queries |
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data_files: |
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- split: queries |
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path: queries.jsonl |
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--- |
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## Dataset Summary |
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**CQADupstack-stats-Fa** is a Persian (Farsi) dataset developed for the **Retrieval** task, focusing on **duplicate question detection** in community question-answering (CQA) platforms. This dataset is a translated version of the **"Cross Validated" (Stats)** subforum from the English **CQADupstack** collection and is part of the **FaMTEB** benchmark under the **BEIR-Fa** suite. |
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- **Language(s):** Persian (Farsi) |
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- **Task(s):** Retrieval (Duplicate Question Retrieval) |
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- **Source:** Translated from English using Google Translate |
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- **Part of FaMTEB:** Yes — under BEIR-Fa |
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## Supported Tasks and Leaderboards |
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This dataset evaluates **text embedding models** on their ability to retrieve **semantically similar or duplicate questions** in domains such as **statistics, machine learning, and data analysis**. Results can be viewed on the **Persian MTEB Leaderboard** (filter by language: Persian). |
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## Construction |
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The dataset was generated through: |
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- Translating the "stats" StackExchange subforum from CQADupstack via **Google Translate API** |
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- Retaining the original CQA structure for **duplicate retrieval** |
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According to the FaMTEB paper, the BEIR-Fa datasets underwent quality validation via: |
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- **BM25 retrieval performance comparisons** (English vs Persian) |
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- **GEMBA-DA evaluation**, leveraging LLMs for translation quality assurance |
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## Data Splits |
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As per the FaMTEB paper (Table 5), all **CQADupstack-Fa** sub-datasets are part of a shared evaluation pool: |
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- **Train:** 0 samples |
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- **Dev:** 0 samples |
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- **Test:** 480,902 samples (aggregate) |
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The exact subset size for `cqadupstack-stats-fa` is approximately **43.8k examples** (user-provided). For detailed splits, consult the FaMTEB dataset repository or maintainers. |
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