---
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.