metadata
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