Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,41 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
+
language:
|
4 |
+
- ko
|
5 |
---
|
6 |
+
|
7 |
+
# Dell QA English to Korean Translation Dataset
|
8 |
+
|
9 |
+
## Dataset Description
|
10 |
+
|
11 |
+
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.
|
12 |
+
|
13 |
+
## Source
|
14 |
+
|
15 |
+
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.
|
16 |
+
|
17 |
+
## Dataset Structure
|
18 |
+
|
19 |
+
### Data Fields
|
20 |
+
|
21 |
+
- input
|
22 |
+
- instruction
|
23 |
+
- output
|
24 |
+
|
25 |
+
### Data Splits
|
26 |
+
|
27 |
+
The dataset is split into training, validation, and test sets. The following are the number of examples in each split:
|
28 |
+
- Training: 45560
|
29 |
+
-
|
30 |
+
## Use Cases
|
31 |
+
|
32 |
+
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.
|
33 |
+
|
34 |
+
## How to Use
|
35 |
+
|
36 |
+
Here is an example of how to load this dataset using the Hugging Face `datasets` library:
|
37 |
+
|
38 |
+
```python
|
39 |
+
from datasets import load_dataset
|
40 |
+
|
41 |
+
dataset = load_dataset('your-username/dell-qa-en-to-ko-translated-by-ke-t5-base')
|