query-id string | corpus-id string | score string |
|---|---|---|
PLAIN-3 | MED-2436 | 1 |
PLAIN-3 | MED-2437 | 1 |
PLAIN-3 | MED-2438 | 1 |
PLAIN-3 | MED-2439 | 1 |
PLAIN-3 | MED-2440 | 1 |
PLAIN-3 | MED-2427 | 1 |
PLAIN-3 | MED-2428 | 1 |
PLAIN-3 | MED-2429 | 1 |
PLAIN-3 | MED-2430 | 1 |
PLAIN-3 | MED-2431 | 1 |
PLAIN-3 | MED-2432 | 1 |
PLAIN-3 | MED-2434 | 1 |
PLAIN-3 | MED-2435 | 1 |
PLAIN-3 | MED-3238 | 1 |
PLAIN-3 | MED-3697 | 1 |
PLAIN-3 | MED-3699 | 1 |
PLAIN-3 | MED-3241 | 1 |
PLAIN-3 | MED-3841 | 1 |
PLAIN-3 | MED-3842 | 1 |
PLAIN-3 | MED-3843 | 1 |
PLAIN-3 | MED-3844 | 1 |
PLAIN-3 | MED-3845 | 1 |
PLAIN-3 | MED-3846 | 1 |
PLAIN-3 | MED-3847 | 1 |
PLAIN-3 | MED-3848 | 1 |
PLAIN-3 | MED-3849 | 1 |
PLAIN-3 | MED-3850 | 1 |
PLAIN-3 | MED-4094 | 1 |
PLAIN-3 | MED-3852 | 1 |
PLAIN-3 | MED-3853 | 1 |
PLAIN-3 | MED-3854 | 1 |
PLAIN-3 | MED-3855 | 1 |
PLAIN-3 | MED-3856 | 1 |
PLAIN-3 | MED-3857 | 1 |
PLAIN-3 | MED-4295 | 1 |
PLAIN-3 | MED-4296 | 1 |
PLAIN-3 | MED-4298 | 1 |
PLAIN-3 | MED-4440 | 1 |
PLAIN-3 | MED-4785 | 1 |
PLAIN-3 | MED-4652 | 1 |
PLAIN-3 | MED-4445 | 1 |
PLAIN-3 | MED-4446 | 1 |
PLAIN-3 | MED-4447 | 1 |
PLAIN-3 | MED-4448 | 1 |
PLAIN-3 | MED-5322 | 1 |
PLAIN-3 | MED-5323 | 1 |
PLAIN-3 | MED-5324 | 1 |
PLAIN-3 | MED-5325 | 1 |
PLAIN-3 | MED-5326 | 1 |
PLAIN-3 | MED-5327 | 1 |
PLAIN-3 | MED-5328 | 1 |
PLAIN-3 | MED-5329 | 1 |
PLAIN-3 | MED-5330 | 1 |
PLAIN-3 | MED-5331 | 1 |
PLAIN-3 | MED-5332 | 1 |
PLAIN-3 | MED-5333 | 1 |
PLAIN-3 | MED-5334 | 1 |
PLAIN-3 | MED-5335 | 1 |
PLAIN-3 | MED-5363 | 1 |
PLAIN-3 | MED-5337 | 1 |
PLAIN-3 | MED-5338 | 1 |
PLAIN-3 | MED-5339 | 1 |
PLAIN-3 | MED-5340 | 1 |
PLAIN-3 | MED-5341 | 1 |
PLAIN-3 | MED-5342 | 1 |
PLAIN-4 | MED-2441 | 1 |
PLAIN-4 | MED-2472 | 1 |
PLAIN-4 | MED-2444 | 1 |
PLAIN-5 | MED-2445 | 1 |
PLAIN-5 | MED-2458 | 1 |
PLAIN-5 | MED-2448 | 1 |
PLAIN-5 | MED-2450 | 1 |
PLAIN-5 | MED-2449 | 1 |
PLAIN-5 | MED-2452 | 1 |
PLAIN-5 | MED-2453 | 1 |
PLAIN-5 | MED-2441 | 1 |
PLAIN-5 | MED-2442 | 1 |
PLAIN-5 | MED-2472 | 1 |
PLAIN-5 | MED-2444 | 1 |
PLAIN-5 | MED-2446 | 1 |
PLAIN-5 | MED-2451 | 1 |
PLAIN-5 | MED-2455 | 1 |
PLAIN-5 | MED-2456 | 1 |
PLAIN-5 | MED-5072 | 1 |
PLAIN-5 | MED-2459 | 1 |
PLAIN-5 | MED-2460 | 1 |
PLAIN-5 | MED-2461 | 1 |
PLAIN-5 | MED-4551 | 1 |
PLAIN-5 | MED-2643 | 1 |
PLAIN-5 | MED-2464 | 1 |
PLAIN-5 | MED-2645 | 1 |
PLAIN-5 | MED-2644 | 1 |
PLAIN-5 | MED-2646 | 1 |
PLAIN-5 | MED-2468 | 1 |
PLAIN-5 | MED-2469 | 1 |
PLAIN-5 | MED-2649 | 1 |
PLAIN-5 | MED-2471 | 1 |
PLAIN-5 | MED-2652 | 1 |
PLAIN-5 | MED-2474 | 1 |
PLAIN-5 | MED-2475 | 1 |
Dataset Summary
NFCorpus-Fa is a Persian (Farsi) dataset designed for the Retrieval task, with a focus on medical and nutrition information retrieval. It is a translated version of the original English NFCorpus (NutritionFacts Corpus), 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 (Medical Information Retrieval, Nutrition Information Retrieval)
- Source: Translated from the English NFCorpus using Google Translate
- Part of FaMTEB: Yes — part of the BEIR-Fa collection
Supported Tasks and Leaderboards
This dataset evaluates models' ability to retrieve relevant scientific and nutritional content from a specialized corpus (PubMed articles) in response to health-related user queries. Performance can be compared on the Persian MTEB Leaderboard (filter by language: Persian).
Construction
- Translated from the NFCorpus dataset using the Google Translate API
- Original English dataset was curated using NutritionFacts.org queries and PubMed article annotations
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: 114,208 samples
- Dev: 0 samples
- Test: 15,967 samples
Approximate total dataset size: 141k examples (user-provided figure)
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