---
license: mit
---
# Vietnamese Embedding Training Data

A curated Vietnamese dataset for training semantic embedding and retrieval models.

This dataset combines multiple Vietnamese sources and normalizes them into a unified retrieval-oriented format with positive passages and hard negatives.

## Format

Each sample contains:

```json
{
  "query": "...",
  "positive": "...",
  "negatives": ["...", "...", "..."],
  "source": "...",
  "task": "retrieval",
  "domain": "...",
  "group_id": "...",
  "difficulty": "hard"
}
```

## Processing

The dataset is processed with:

* Unicode and whitespace normalization
* Duplicate removal
* Basic quality filtering
* Easy-negative filtering
* False-negative filtering
* BM25-based hard-negative mining
* Source and domain metadata preservation

## Intended Use

This dataset is designed for training:

* Vietnamese text embedding models
* Dense retrieval models
* Semantic search systems
* RAG retrieval models
* Matryoshka embedding models

It is especially suitable for contrastive learning with InfoNCE, in-batch negatives, and explicit hard negatives.