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--- |
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dataset_info: |
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features: |
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- name: sentence1 |
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dtype: string |
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- name: sentence2 |
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dtype: string |
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- name: score |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 266645 |
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num_examples: 1543 |
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- name: validation |
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num_bytes: 33352 |
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num_examples: 193 |
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- name: test |
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num_bytes: 33352 |
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num_examples: 193 |
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download_size: 185281 |
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dataset_size: 333349 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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## Dataset for Vietnamese Semantic Textual Similarity |
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This is a Vietnamese dataset designed for **semantic textual similarity (STS)** and **embedding-related tasks**. |
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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. |
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### Features |
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* **sentence1** (*string*): The first sentence. |
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* **sentence2** (*string*): The second sentence. |
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* **score** (*float*): Semantic similarity score between the two sentences. |
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* **index** (*int*): Example index. |
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### Use Cases |
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* Sentence embedding model training |
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* Semantic textual similarity benchmarking |
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* Text matching and retrieval tasks |
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