| --- |
| language: |
| - vi |
| license: mit |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - text-generation |
| - question-answering |
| - text-classification |
| dataset_info: |
| features: |
| - name: context |
| dtype: string |
| - name: question |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: answer_start |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 54478998 |
| num_examples: 48460 |
| - name: test |
| num_bytes: 6041628 |
| num_examples: 5385 |
| download_size: 33267124 |
| dataset_size: 60520626 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| # Dataset Describe |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| 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). |
|
|
| ## Data structure |
|
|
| Dataset includes the following columns: |
|
|
| - `question`: Question related to the content of the text. |
| - `context`: Paragraph of text. |
| - `answer`: The answer to the question is based on the content of the text. |
| - `answer_start`: The starting position of the answer in the text. |
|
|
| ### How to use |
| You can load this dataset using Hugging Face's `datasets` library: |
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("ShynBui/Vietnamese_Reading_Comprehension_Dataset") |
| ``` |
|
|
| ### Split data |
| The dataset is divided into train/test sections. |
| ``` |
| DatasetDict({ |
| train: Dataset({ |
| features: ['context', 'question', 'answer', 'answer_start'], |
| num_rows: 48460 |
| }) |
| test: Dataset({ |
| features: ['context', 'question', 'answer', 'answer_start'], |
| num_rows: 5385 |
| }) |
| }) |
| ``` |
|
|
| ### Task categories |
| This dataset can be used for the following main tasks |
| - `question-answering`. |
| - `reading-comprehension`. |
| - `natural-language-processing`. |
|
|
|
|
| ### Contribute |
| 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. |
|
|
| ### License |
| This dataset is released under the MIT License. |
|
|
| ### Contact |
| If you have any questions, please contact us via email: buitienphat2462002@gmail.com. |
