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query-id
string
corpus-id
string
score
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PLAIN-3
MED-2436
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PLAIN-3
MED-2437
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PLAIN-3
MED-2438
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PLAIN-3
MED-2439
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PLAIN-3
MED-2440
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PLAIN-3
MED-2427
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MED-2428
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PLAIN-3
MED-2429
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MED-2430
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MED-2431
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PLAIN-3
MED-2432
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MED-2434
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PLAIN-3
MED-2435
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PLAIN-3
MED-3238
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PLAIN-3
MED-3697
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PLAIN-3
MED-3699
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PLAIN-3
MED-3241
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PLAIN-3
MED-3841
1
PLAIN-3
MED-3842
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MED-3843
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PLAIN-3
MED-3844
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PLAIN-3
MED-3845
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MED-3846
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MED-3847
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PLAIN-3
MED-3848
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PLAIN-3
MED-3849
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PLAIN-3
MED-3850
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PLAIN-3
MED-4094
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PLAIN-3
MED-3852
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PLAIN-3
MED-3853
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MED-3854
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PLAIN-3
MED-3855
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MED-3856
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PLAIN-3
MED-3857
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PLAIN-3
MED-4295
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PLAIN-3
MED-4296
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PLAIN-3
MED-4298
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PLAIN-3
MED-4440
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PLAIN-3
MED-4785
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PLAIN-3
MED-4652
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PLAIN-3
MED-4445
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PLAIN-3
MED-4446
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PLAIN-3
MED-4447
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PLAIN-3
MED-4448
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PLAIN-3
MED-5322
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PLAIN-3
MED-5323
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PLAIN-3
MED-5324
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PLAIN-3
MED-5325
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PLAIN-3
MED-5326
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PLAIN-3
MED-5327
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PLAIN-3
MED-5328
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PLAIN-3
MED-5329
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PLAIN-3
MED-5330
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PLAIN-3
MED-5331
1
PLAIN-3
MED-5332
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PLAIN-3
MED-5333
1
PLAIN-3
MED-5334
1
PLAIN-3
MED-5335
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PLAIN-3
MED-5363
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PLAIN-3
MED-5337
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PLAIN-3
MED-5338
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PLAIN-3
MED-5339
1
PLAIN-3
MED-5340
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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
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PLAIN-5
MED-2448
1
PLAIN-5
MED-2450
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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
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PLAIN-5
MED-2455
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PLAIN-5
MED-2456
1
PLAIN-5
MED-5072
1
PLAIN-5
MED-2459
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PLAIN-5
MED-2460
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PLAIN-5
MED-2461
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PLAIN-5
MED-4551
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PLAIN-5
MED-2643
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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
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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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