metadata
dataset_info:
features:
- name: comments
dtype: string
splits:
- name: train
num_bytes: 11577591
num_examples: 111546
download_size: 7972902
dataset_size: 11577591
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- text-generation
language:
- ko
size_categories:
- 100K<n<1M
DC_inside_comments
This dataset contains 110,000 raw comments collected from DC Inside. It is intended for unsupervised learning or pretraining purposes.
Dataset Summary
- Data Type: Unlabeled raw comments
- Number of Examples: 110,000
- Source: DC Inside
Related Dataset
For labeled data and multi-task annotated examples, please refer to the KoMultiText dataset.
How to Load the Dataset
from datasets import load_dataset
# Load the unlabeled dataset
dataset = load_dataset("Dasool/DC_inside_comments")
print(dataset)
Citation
@misc{choi2023largescale,
title={Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services},
author={Dasol Choi and Jooyoung Song and Eunsun Lee and Jinwoo Seo and Heejune Park and Dongbin Na},
year={2023},
eprint={2310.04313},
archivePrefix={arXiv},
primaryClass={cs.CL}
}