Datasets:
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---
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: [email protected]. |