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---
language:
- ko
dataset_info:
features:
- name: text
dtype: string
- name: source
dtype: string
- name: token_count
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 8555372905
num_examples: 1284879
download_size: 4472792071
dataset_size: 8555372905
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# KOREAN-WEBTEXT
**KOREAN-WEBTEXT** is a high-quality Korean language corpus consisting of 2.2 billion tokens. The data has been collected from the following sources:
- **cc100**
- **oscar-corpus/OSCAR-2201**
- **oscar-corpus/OSCAR-2109**
- **oscar-corpus/OSCAR-2301**
- **ontocord/CulturaY**
- **Additional credible internet sources collected by out team**
(We are working to add more sources)
The dataset undergoes rigorous filtering at both the sentence and document levels to ensure quality of text data. Additionally, simple deduplication processes are applied to further refine the dataset.
## Dataset Structure
### Sentence-Level Filters
The following filters are applied at the sentence level:
1. **Repetition Check**: The ratio of repetition for any word in a line should not exceed 0.2.
2. **Punctuation Check**: Lines must end with one of these punctuation marks: `.`, `?`, `]`, or `"`.
3. **Token Count Check**: The line must contain more than 16 tokens.
4. **Character Count Check**: The line must contain more than 32 characters.
### Document-Level Filters
The following filters are applied at the document level:
1. **Token Count Check**: Documents must contain more than 512 tokens.
2. **Stopwords Removal**: Documents containing any of the following stopwords are removed:
```python
stopwords = [
'www', 'http', '...', 'ㅋㅋㅋ', '약관', 'is', '카지노', '토토', '\u3000',
'■', '▲', '010', '.kr', '@', '마사지', '스웨디시', '대선'
]
```
### Deduplication Processes
To ensure data uniqueness, the following deduplication steps are applied:
1. **Exact Deduplication**: Removal of exact duplicate lines.
2. **First 15 Tokens Deduplication**: Removal of lines with identical first 15 tokens.
3. **Last 15 Tokens Deduplication**: Removal of lines with identical last 15 tokens.
## Usage
While the dataset may be small for pretraining models due to its size, we expect it to be better suited for ablation studies.
### Examples
#### Loading the Dataset
To load and use the dataset, you can use the following example code:
```python
import datasets
dataset = datasets.load_dataset('HAERAE-HUB/KOREAN-WEBTEXT-1B')
```
## Citation
If you use this dataset in your research, please cite it as follows:
```
@dataset{KOREAN-WEBTEXT,
title={KOREAN-WEBTEXT: A High-Quality Korean Language Corpus},
author={HAERAE-Team},
year={2024},
howpublished={\url{https://huggingface.co/datasets/HAERAE-HUB/KOREAN-WEBTEXT}},
}
```
## Contact
For more information or questions about the dataset, please contact the maintainers at [spthsrbwls123@yonsei.ac.kr].
---
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