---
configs:
  - config_name: default
    data_files:
      - split: train
        path: qrels/train.jsonl
      - split: dev
        path: qrels/dev.jsonl
      - split: test
        path: qrels/test.jsonl
  - config_name: corpus
    data_files:
      - split: corpus
        path: corpus.jsonl
  - config_name: queries
    data_files:
      - split: queries
        path: queries.jsonl
---
## 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)