Datasets:
File size: 2,283 Bytes
f9bd01a 86bc1d9 dadfc6c f9bd01a 86bc1d9 c9ea2c5 92ecc52 cd3c2f4 92ecc52 b6c46b6 fd4c3f4 b6c46b6 fd4c3f4 cd3c2f4 d492250 ea929d1 dadfc6c ea929d1 dadfc6c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
---
language:
- vi
license: mit
task_categories:
- text-generation
- question-answering
- text-classification
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: context
dtype: string
- name: answer_start
dtype: int64
- name: index
dtype: int64
splits:
- name: train
num_bytes: 54889695
num_examples: 48460
- name: test
num_bytes: 6061691
num_examples: 5385
download_size: 33576702
dataset_size: 60951386
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
size_categories:
- 10K<n<100K
---
# 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: ['question', 'answer', 'context', 'answer_start', 'index'],
num_rows: 48460
})
test: Dataset({
features: ['question', 'answer', 'context', 'answer_start', 'index'],
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]. |