Datasets:
license: apache-2.0
language:
- ko
Dell QA English to Korean Translation Dataset
Dataset Description
This dataset, dell-qa-en-to-ko-translated-by-ke-t5-base[https://huggingface.co/seongs/ke-t5-base-aihub-koen-translation-integrated-10m-en-to-ko], is a Korean translation of the original English Dell QA dataset.
Source
The original dataset, dell_qa[https://huggingface.co/datasets/c123ian/dell_qa]
, is designed for question-answering tasks and contains questions and answers related to Dell technologies. This translated version extends the utility to Korean language tasks.
Dataset Structure
Data Fields
- input
- instruction
- output
Data Splits
The dataset is split into training, validation, and test sets. The following are the number of examples in each split: - Training: 45560
Use Cases
This dataset can be used for training and evaluating models on Korean question-answering tasks. It can also serve as a benchmark for machine translation models and natural language understanding in Korean.
How to Use
Here is an example of how to load this dataset using the Hugging Face datasets
library:
from datasets import load_dataset
dataset = load_dataset('your-username/dell-qa-en-to-ko-translated-by-ke-t5-base')