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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.
Dataset Details
| Split | Number of Examples | Size |
|---|---|---|
| Train | 6,968 | 1.38 MB |
| Validation | 871 | 0.17 MB |
| Test | 871 | 0.17 MB |
Total size: approximately 1.72 MB Download size: approximately 0.99 MB
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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