---
language:
- tr
- en
license: apache-2.0
tags:
- food
- contrastive-learning
- triplets
- culinary
- turkish
- bge-m3
- information-retrieval
size_categories:
- 10K<n<100K
---

# 🥘 Turkish & Multi-Lingual Food Contrastive Triplets Dataset

This dataset contains **30,001 culinary triplets (Anchor, Positive, Hard Negative)** designed for training contrastive dense retrieval models, embedding projection heads, and fine-grained food similarity metrics.

Used for training the [`ozertuu/bge-m3-food-projection-head`](https://huggingface.co/ozertuu/bge-m3-food-projection-head).

---

## 📊 Dataset Structure

Each record consists of:
* `anchor` (*string*): The base query or canonical food name (e.g., `"Kuru Fasulye"`).
* `positive` (*string*): A gastronomically aligned variation, preparation, or title match (e.g., `"Soslu etli kuru fasulye yemeği"`).
* `negative` (*string*): A hard negative containing lexical overlap but representing an unrequested ingredient, raw item, or conflicting dish (e.g., `"Kuru fasulye konservesi"`).
* `type` (*string*): The triplet generation contrast strategy (`cooking_method_contrast`, `category_alignment`, `brand_demotion`, `raw_ingredient_demotion`).

### Sample Data
```json
{
  "anchor": "Fried Eggs",
  "positive": "Yeşil Biber Kızartması",
  "negative": "Beyaz peynirli menemen",
  "type": "cooking_method_contrast"
}
```

---

## 🚀 How to Load

```python
from datasets import load_dataset

dataset = load_dataset("ozertuu/turkish-food-contrastive-triplets")
print(dataset["train"][0])
```