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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)
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