Datasets:
Languages:
Korean
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
crowdsourced
Annotations Creators:
no-annotation
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - crowdsourced | |
| language: | |
| - ko | |
| license: | |
| - cc-by-sa-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: KcBERT Pre-Training Corpus (Korean News Comments) | |
| size_categories: | |
| - 10M<n<100M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - fill-mask | |
| - text-generation | |
| task_ids: | |
| - masked-language-modeling | |
| - language-modeling | |
| # KcBERT Pre-Training Corpus (Korean News Comments) | |
| ## Dataset Description | |
| - **Homepage:** [KcBERT Pre-Training Corpus](https://www.kaggle.com/datasets/junbumlee/kcbert-pretraining-corpus-korean-news-comments) | |
| - **Repository:** [Beomi/KcBERT](https://github.com/Beomi/KcBERT) | |
| - **Paper:** [Needs More Information] | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** [Needs More Information] | |
| ## KcBERT | |
| [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) | |
| Github KcBERT Repo: [https://github.com/Beomi/KcBERT](https://github.com/Beomi/KcBERT) | |
| KcBERT is Korean Comments BERT pretrained on this Corpus set. | |
| (You can use it via Huggingface's Transformers library!) | |
| This Kaggle Dataset contains **CLEANED** dataset preprocessed with the code below. | |
| ```python | |
| import re | |
| import emoji | |
| from soynlp.normalizer import repeat_normalize | |
| emojis = ''.join(emoji.UNICODE_EMOJI.keys()) | |
| pattern = re.compile(f'[^ .,?!/@$%~％·∼()\x00-\x7Fㄱ-힣{emojis}]+') | |
| url_pattern = re.compile( | |
| r'https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)') | |
| def clean(x): | |
| x = pattern.sub(' ', x) | |
| x = url_pattern.sub('', x) | |
| x = x.strip() | |
| x = repeat_normalize(x, num_repeats=2) | |
| return x | |
| ``` | |
| ### License | |
| [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | |
| ## Dataset Structure | |
| ### Data Instance | |
| ```pycon | |
| >>> from datasets import load_dataset | |
| >>> dataset = load_dataset("Bingsu/KcBERT_Pre-Training_Corpus") | |
| >>> dataset | |
| DatasetDict({ | |
| train: Dataset({ | |
| features: ['text'], | |
| num_rows: 86246285 | |
| }) | |
| }) | |
| ``` | |
| ### Data Size | |
| download: 7.90 GiB<br> | |
| generated: 11.86 GiB<br> | |
| total: 19.76 GiB | |
| ※ You can download this dataset from [kaggle](https://www.kaggle.com/datasets/junbumlee/kcbert-pretraining-corpus-korean-news-comments), and it's 5 GiB. (12.48 GiB when uncompressed) | |
| ### Data Fields | |
| - text: `string` | |
| ### Data Splits | |
| | | train | | |
| | ---------- | -------- | | |
| | # of texts | 86246285 | | |