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Dataset Summary
SciFact-Fa is a Persian (Farsi) dataset designed for the Retrieval task, with a focus on scientific fact verification. It is a translated version of the original English SciFact dataset 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 (Scientific Fact Verification, Evidence Retrieval)
- Source: Translated from the English SciFact dataset using Google Translate
- Part of FaMTEB: Yes — part of the BEIR-Fa collection
Supported Tasks and Leaderboards
This dataset evaluates models' ability to retrieve supporting evidence from scientific literature abstracts that either support or refute given scientific claims. Evaluation results can be compared on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
- Translated from the SciFact dataset using the Google Translate API
- The original dataset targets scientific claim verification and evidence-based reasoning
Translation quality was validated using:
- BM25 score comparisons
- LLM-based assessment (GEMBA-DA framework)
Data Splits
As reported in the FaMTEB paper (Table 5):
- Train: 6,102 samples
- Dev: 0 samples
- Test: 5,522 samples
Approximate total dataset size: 7.55k examples (user-provided figure)
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