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---
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
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