---
dataset_info:
  features:
  - name: sentence1
    dtype: string
  - name: sentence2
    dtype: string
  - name: score
    dtype: float64
  splits:
  - name: train
    num_bytes: 266645
    num_examples: 1543
  - name: validation
    num_bytes: 33352
    num_examples: 193
  - name: test
    num_bytes: 33352
    num_examples: 193
  download_size: 185281
  dataset_size: 333349
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

## Dataset for Vietnamese Semantic Textual Similarity

This is a Vietnamese dataset designed for **semantic textual similarity (STS)** and **embedding-related tasks**.
Each example contains two sentences (`sentence1`, `sentence2`) along with a **similarity score** (`score`) representing how semantically close the two sentences are. The dataset can be used to train and evaluate models for **sentence embeddings**, **semantic search**, and **text similarity** in Vietnamese.


### Features

* **sentence1** (*string*): The first sentence.
* **sentence2** (*string*): The second sentence.
* **score** (*float*): Semantic similarity score between the two sentences.
* **index** (*int*): Example index.

### Use Cases

* Sentence embedding model training
* Semantic textual similarity benchmarking
* Text matching and retrieval tasks