Korean Petitions
Korean Petitions is the data collected from the Blue House National Petition (2017.08 ~ 2019.03), released by lovit@github. Data specification is as follows:
- author: lovit@github
- repository: https://github.com/lovit/petitions_archive
- size:
- train: 433,631 examples
Data structure is as:
| Attributes | Property |
|---|---|
| text | Content of petition |
| category | Category of petition |
| num_agree | Number of agreements |
| begin | Date petition began |
| end | Date petition ended |
| title | Title of petition |
1. In Python
Execute Python console, download the corpus, and read it.
Downloading the corpus
You can download the Korean Petitions in the local by the following procedure.
from Korpora import Korpora
Korpora.fetch("korean_petitions")
First, download the corpus to Korpora, a directory under the user’s local computer root (~/Korpora).If you want to download it in other path, please assign root_dir=custom_path when you execute fetch function.
If you assign force_download=True when you execute the fetch function, the corpus is downloaded again regardless of its presence in the local. The default is False.
Reading the corpus
You can read the Korean Petitions in Python console with the following scheme. If the corpus is not in the local, the downloading is accompanied.
from Korpora import Korpora
corpus = Korpora.load("korean_petitions")
You can read the Korean Petitions as below; the result is the same as the above operation.
from Korpora import KoreanPetitionsKorpus
corpus = KoreanPetitionsKorpus()
Execute one of the above, and the copus is assigned to the variable corpus. train denotes the train data of Korean Petitions, and you can check the first instance as:
>>> corpus.train[0]
KoreanPetition(text="안녕하세요. 현재 사대, ...", category='육아/교육', num_agree=88, begin='2017-08-25', end='2017-09-24', title='학교는 ...')
>>> corpus.train[0].text
안녕하세요. 현재 사대, ...
>>> corpus.train[0].category
육아/교육
>>> corpus.train[0].num_agree
88
>>> corpus.train[0].begin
2017-08-25
>>> corpus.train[0].end
2017-09-24
>>> corpus.train[0].title
학교는
The method get_all_texts lets you check all the texts (Content of petition) in Korean Petitions. The method get_all_categories lets you check all the categories (Category of petition) in Korean Petitions. The method get_all_num_agrees lets you check all the num_agree (Number of agreements) in Korean Petitions. The method get_all_titles lets you check all the titles (Title of petition) in Korean Petitions.
2. In terminal
You can download the corpus without executing Python console. The command is as below.
korpora fetch --corpus korean_petitions
First, download the corpus to Korpora, a directory under the user’s local computer root (~/Korpora).If you want to download it in other path, please assign --root_dir custom_path when you execute fetch function in the terminal.
If you assign --force_download when you execute fetch function in the terminal, the corpus is downloaded again regardless of its presence in the local.