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Dataset Summary

ArguAna-Fa is a Persian (Farsi) dataset designed for the Retrieval task, focusing on argument and counter-argument retrieval. It is a translated version of the original English ArguAna dataset used in the BEIR benchmark and is a part of the FaMTEB (Farsi Massive Text Embedding Benchmark) under the BEIR-Fa suite.

  • Language(s): Persian (Farsi)
  • Task(s): Retrieval (Argument Retrieval, Counter-Argument Retrieval)
  • Source: Translated from the English ArguAna dataset using Google Translate
  • Part of FaMTEB: Yes — part of the BEIR-Fa collection

Supported Tasks and Leaderboards

ArguAna-Fa is used to benchmark models on their ability to retrieve relevant counterarguments given an input argument. This tests the semantic understanding of argumentation in Persian. Performance can be evaluated on the Persian MTEB Leaderboard (filter by language: Persian).

Construction

  • The dataset was created by translating the English ArguAna dataset using the Google Translate API
  • Originally sourced from online debate portals, focusing on argumentative reasoning and contrast

As noted in the FaMTEB paper, the translation quality was evaluated by:

  • Comparing BM25 retrieval scores between English and Persian
  • Using the GEMBA-DA framework (LLM-based assessment) to ensure translation accuracy

Data Splits

According to the FaMTEB paper (Table 5):

  • Train: 0 samples
  • Dev: 0 samples
  • Test: 10,080 samples

Approximate total dataset size: 11.5k examples (user-provided figure)

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