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--- |
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language: |
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- vi |
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license: mit |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- text-generation |
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- question-answering |
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- text-classification |
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dataset_info: |
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features: |
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- name: context |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: answer_start |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 54478998 |
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num_examples: 48460 |
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- name: test |
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num_bytes: 6041628 |
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num_examples: 5385 |
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download_size: 33267124 |
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dataset_size: 60520626 |
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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: test |
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path: data/test-* |
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--- |
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# Dataset Describe |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset is collected from internet sources, SQuAD dataset, wiki, etc. It has been translated into Vietnamese using "google translate" and word segmented using VnCoreNLP (https://github.com/vncorenlp/VnCoreNLP). |
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## Data structure |
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Dataset includes the following columns: |
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- `question`: Question related to the content of the text. |
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- `context`: Paragraph of text. |
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- `answer`: The answer to the question is based on the content of the text. |
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- `answer_start`: The starting position of the answer in the text. |
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### How to use |
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You can load this dataset using Hugging Face's `datasets` library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ShynBui/Vietnamese_Reading_Comprehension_Dataset") |
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``` |
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### Split data |
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The dataset is divided into train/test sections. |
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``` |
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DatasetDict({ |
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train: Dataset({ |
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features: ['context', 'question', 'answer', 'answer_start'], |
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num_rows: 48460 |
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}) |
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test: Dataset({ |
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features: ['context', 'question', 'answer', 'answer_start'], |
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num_rows: 5385 |
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}) |
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}) |
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``` |
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### Task categories |
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This dataset can be used for the following main tasks |
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- `question-answering`. |
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- `reading-comprehension`. |
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- `natural-language-processing`. |
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### Contribute |
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We welcome all contributions to this dataset. If you discover an error or have feedback, please create an Issue or Pull Request on our Hub repository. |
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### License |
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This dataset is released under the MIT License. |
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### Contact |
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If you have any questions, please contact us via email: [email protected]. |
