metadata
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:
{
"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.