metadata

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

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:

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.