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---
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.